Podcasts about API

Higgsfield says it open-sourced its 5.4 billion dollar app. It's fake. We went into the GitHub and all you get is a thin UI that calls their paid API. No weights, no training, no way to build anything without paying them. We break down what they actually released and how creator networks make a launch like this look organic. Then a miracle: Neuralink restored speech for a man who lost it to ALS, and we show him talking to his wife by thought alone. And Figure's Helix 2.5 sends robots into 30 homes they have never seen to make beds and fold laundry, impressive, slow, and it raises the question of who pays when one throws out your jewellery.Try Autodesk Flow Studio:http://flowstudio.comSources:1. Higgsfield open source claim and API- https://x.com/higgsfield/status/2100629811131826198- https://www.instagram.com/p/DdZ1kHrAcwx/?img_index=1- https://x.com/alexmashrabov- https://x.com/gpumaxxer/status/2100307886408912985- https://x.com/pika_labs/status/2100470618760298546- https://x.com/thatdesignpro/status/21009103144893277562. Neuralink restores speech for Terry- https://x.com/neuralink/status/2100993363403063404- https://x.com/neuralink/status/21003420840119788963. Figure Helix 2.5- https://x.com/Figure_robot/status/2100657350952779925

Control Plane CEO Doron Grinstein joins me to discuss how they've created an AI-native cloud API that virtualizes multi-cloud and hybrid cloud to simplify management and ship faster.Watch the video of this episode.

John Jandayan is Founder at Ascribo.AI. Ascribo.AI is an AI-powered translation workbench designed to make multilingual communication faster, more flexible, and easier to manage in one place. It allows users to translate text, documents and PDFs, speech, and website content while providing workflow-aware controls for tone, terminology, and specialized contexts such as business, education, medical, legal, and other professional applications. Developed by Filipino emerging-tech startup BrightPath Technologies, Ascribo.AI is built to support individuals, teams, and organizations with practical, repeatable translation workflows and scalable tools such as interpreter capabilities, API access, and team-oriented features. This episode is recorded live at the 2026 Regional Science, Technology, and Innovation Week in Caraga at Robinsons Butuan in Butuan City.In this episode:00:00 Introduction01:47 Ascribo.AI07:32 Problem Being Solved12:25 Product/Service23:10 Stories Behind the Startup44:41 Vision47:32 Motivation49:44 Milestone52:04 Challenges01:02:29 Lessons Learned01:06:14 Contact & informationASCRIBO.AIWebsite: https://ascriboai.appFacebook: https://facebook.com/profile.php?id=61587899439457THIS EPISODE IS CO-PRODUCED BY:Symph: ⁠⁠⁠⁠https://symph.co⁠⁠⁠⁠OneCFO: ⁠⁠⁠⁠https://onecfoph.co⁠⁠⁠⁠Yspaces: ⁠⁠⁠⁠https://knowyourspaceph.com⁠⁠⁠⁠ (5% discount on virtual office, meeting rooms, and event space! Code: YSPACESSUP)Vition Consulting and Workshops: ⁠⁠⁠⁠https://ksfinancialsph.com⁠⁠⁠⁠Twala: ⁠⁠⁠⁠https://twala.io⁠⁠⁠⁠GigGenius: ⁠⁠⁠⁠https://gig-genius.io⁠⁠⁠⁠SkoolTek by Edfolio: ⁠⁠⁠⁠https://skooltek.co⁠⁠⁠⁠Red Circle Global: ⁠⁠⁠⁠https://redcircleglobal.com⁠⁠⁠⁠CHECK OUT OUR PARTNERS:Enactus Philippines: ⁠⁠⁠⁠https://enactus.ph⁠⁠⁠⁠SoftPhil AI: ⁠⁠⁠⁠https://softphil.com⁠⁠⁠⁠Multibook Philippines: ⁠⁠⁠⁠https://multibook.com.ph⁠⁠⁠⁠Ask Lex PH Academy: ⁠⁠⁠⁠https://asklexph.com⁠⁠⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Pahatid PH: ⁠⁠⁠⁠https://pahatid.ph⁠⁠⁠⁠Digital Workforce Group: ⁠⁠⁠⁠https://digitalworkforce.com⁠⁠⁠⁠Nascent Batteries: ⁠⁠⁠⁠https://nascentbatteries.com⁠⁠⁠⁠Level Up Talent Solutions: ⁠⁠⁠⁠https://lvluptalentsolutions.com⁠⁠⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠⁠⁠https://agiledatasolutions.tech⁠⁠⁠⁠CloudCFO: ⁠⁠⁠⁠https://cloudcfo.ph⁠⁠⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)ArkoTech: ⁠⁠⁠⁠https://arkotechspacesolutions.com⁠⁠⁠⁠DVCode Technologies Inc: ⁠⁠⁠⁠https://dvcode.tech⁠⁠⁠⁠Argum AI: ⁠⁠⁠⁠http://argum.ai⁠⁠⁠⁠PIXEL by Eplayment: ⁠⁠⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠⁠⁠https://schoolofprofits.academy⁠⁠⁠⁠Hier Business Solutions: ⁠⁠⁠⁠https://hierpayroll.com⁠⁠⁠⁠START UP PODCAST PHYouTube: ⁠⁠⁠⁠https://youtube.com/startuppodcastph⁠⁠⁠⁠Spotify: ⁠⁠⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠⁠⁠Apple Podcasts: ⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠⁠⁠Facebook: ⁠⁠⁠⁠https://facebook.com/startuppodcastph⁠⁠⁠⁠PIXEL: ⁠⁠⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠⁠⁠Website: ⁠⁠⁠⁠https://startupnetwork.ph⁠⁠⁠⁠This episode is edited by the team at: ⁠⁠⁠⁠https://tasharivera.com⁠

Daniel Kocot (adorsys) joins host Kristof Van Tomme (Pronovix) to brainstorm how enterprise capabilities map across domain boundaries as productized affordances, noting the vital distinction between a technical feature and an affordance. They discuss how modern semantic search over a knowledge graph might breathe new life into the mature concepts of the graph database and the semantic web to help manage enterprise API sprawl.

Episode 267: API Heat Transfer was responding to requests for quotation when, according to research in one of its priority segments, buyers had already decided who they trusted. The manufacturer of heat exchangers had strong products and deep engineering expertise. It understood much less about how customers chose a supplier for a particular order. It would have been easy to miss the gap in understanding. API's revenue grew with healthy margins. Some customers had been buying for decades. But familiarity didn't necessarily give customers enough reason to defend API when a competitor offered a lower price or faster delivery. Daniel Herrmann, API's Vice President of Corporate Development and Strategy, joins Rob Markey to explore how the company is changing its approach. Historically, a customer provided a specification, API built and shipped the product, and the relationship largely paused until the next order or service problem. Their research revealed how much happened while API wasn't in the conversation.  "We realized we were leaving value on the table," by not maintaining the relationship after the sale, but before another RFQ had been requested, Daniel explains. "More importantly, we were not there for our customers when [it] mattered." Getting involved earlier required more than scheduling meetings. Account managers agreed that talking with customers was a good idea. But without an order or technical question to discuss, they weren't sure how to make those conversations useful. API introduced regular reviews with larger customers. They developed a global sales development program to help the API team discuss customers' priorities, alternatives, and business plans. As Daniel puts it, "Investing in the relationship is selling." API also began broadening whose feedback it sought. Procurement's satisfaction with a shipment could reveal little about the maintenance team's experience after a year of operating the equipment. A new relationship survey reaches across decision makers to help API understand what transaction scores alone could miss. Daniel shares with Rob that his focus now is creating what he calls a "central nervous system" for understanding customers and turning stronger relationships into a repeatable way of doing business.  The work is still underway. Rob and Daniel examine the test ahead: whether these changes will lead customers to buy more, give API a greater share of their spending, and generate more profitable business. Guest: Daniel Herrmann, Vice President, Corporate Development & Strategy, API Heat Transfer Host: Rob Markey, Partner, Bain & Company Give us feedback: Customer Confidential Podcast Feedback Send us a note: Contact Rob Timestamped Topics 02:01 – The "invisible infrastructure" behind data centers, power systems, and everyday life 09:19 – API's traditional product-first, transaction-focused model 11:00 – The difference between genuine loyalty and customer inertia 13:33 – Why some customers were leaving  21:38 – How aftermarket service can strengthen loyalty and customer lifetime value 26:16 – Building customer relationships when there is no order on the table 27:18 – Why "investing in the relationship is selling" 30:03 – Moving beyond transactional NPS to measure overall relationship health Notable Quotes 11:00: "We weren't asking whether this growth was based on inertia or genuine loyalty. And by inertia, I mean the way we had always done things and customers always engaging in a certain way. We never dug into that because everything felt good." 13:50: "We had a very consistent finding that the real purchase decision happens before the RFQ, and we were in this RFQ stage. And we didn't really understand the buying stages because we never had to previously. But when the purchase decision happens, we're not actually in the room, and so vendor selection is effectively determined before any procurement process begins." 22:02: "And there's a real parallel to API's business. Historically, we were not holding these service contracts, and we were not maintaining continuity. So every time a customer needed something after our initial sale, we were starting from scratch. And that really limits how much loyalty you can build, and it limits your share of lifetime value that the customer represents." 27:18: "Investing in the relationship is selling. That's part of the process, and that's how you evolve out of a transactional mindset. It's: you're not an order taker, you're a partner, you're a consultative partner." 37:12: "Frankly, what drew me to API was this gap that I recognized immediately where we have 150 years of history, over 120 engineers, more than a million installations, and one of the most comprehensive portfolios. But we hadn't really built the centralized commercial infrastructure to match that, and, you know, I always look at that as a central nervous system to understanding your customers."

Howard Ting, CEO of Opal Security, joins Jeff Steadman for a Sponsor Spotlight covering identity governance for both human and non-human identities. Howard traces his path through RSA Security, Microsoft, Palo Alto Networks, Nutanix, and Cyberhaven before returning to identity to lead Opal. The conversation covers why disabling a departing employee's account rarely ends their access, the orphaned tokens, service accounts, and agents left behind, and why visibility has to come before ownership and risk analysis. Howard and Jeff dig into agent intent and authority: whether an agent can declare its own intent, why permissions should stay a subset of what its human creator holds, and how narrowly scoped, single-task agents make governance easier. They also cover how Opal matches AI decision capacity to a growing volume of access requests, including how the company's Paladin AI supports approvers and campaign creators today. The episode closes with Opal's announcement of a unified platform for governing human, non-human, and agent identities together, extending Paladin's decisioning to agents and introducing Policy Insights to help security teams balance friction against risk. Howard shares his view that identity has to shift from an episodic, event-driven practice to a continuous one, along with a lighthearted detour into 90s video games.Connect with Howard: https://www.linkedin.com/in/howardting/Learn more about Opal Security: https://www.opal.dev/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.com00:10 Intro and welcome01:01 Howard's identity origin story: RSA, Microsoft, Kim Cameron02:48 What Opal does: unified control plane for human and non-human identities04:16 The opal.dev domain and how Opal got its name06:42 Termination and lifecycle: why access doesn't fully go away09:33 Session management and orphaned accounts13:57 Visibility as the first step in identity governance17:31 Can an agent declare its own intent?20:29 Authority: should an agent ever exceed its creator's permissions?22:12 Inside Opal: Risk Center and Policy Insights25:41 How Opal connects to systems and collects usage data27:30 Cross-application segregation of duties29:06 Zero standing privilege and AI managing AI32:12 Building trust in AI-driven access decisions39:00 Announcing Opal's unified platform for agents and non-human identities44:18 Explainability and traceability in Paladin's decisions48:54 Tuning risk tolerance and autonomy in Paladin51:20 Proving value: demos, POCs, and industry skepticism57:47 The shift from episodic to continuous identity59:50 Lightning round: favorite 90s video gamesIDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Howard Ting, Opal Security, Sponsor Spotlight, identity governance administration, IGA, non-human identity, NHI, agent identity, agentic AI, access governance, least privilege, just-in-time access, JIT, zero standing privilege, Paladin, Risk Center, Policy Insights, segregation of duties, SOD, RSA Security, Microsoft, Kim Cameron, Palo Alto Networks, Nutanix, Cyberhaven, continuous identity, identity lifecycle management, orphaned accounts, service accounts, API keys, intent-based access control

Sean Murphy spent more than twenty years in the CISO chair and walked away from it while things were going well. In this episode of The New CISO, he returns to talk with Steve Moore about trading the operational seat for a field CISO role at F5 — and why getting too good at the job was the warning sign.Sean reintroduces himself: 21 years in Air Force medicine, multiple post-retirement CISO gigs in highly regulated industries, and now field CISO for North America at F5. What drew him was not the title but the teaching. He calls his hobby recreational learning, has been an adult student for decades, and still teaches at Central Washington and Columbia Southern. The new role makes education the job rather than something done off the side of the desk.The heart of the conversation is the exhaustion nobody names. Sean is blunt that his old role drained him less because it was hard than because it was the same — the same politics, the same pressures, the same day in and day out. Stability turned into autopilot, and autopilot is where complacency kills. Now he is drinking from the fire hose on post-quantum, AI security, and API security, admitting he has had to go learn the material before presenting it. His batteries are fuller than they were when the work was easier.Steve turns that into a theory of time. An hour of play feels infinite to a child because everything in it is new; as we get older and repeat ourselves, the days speed up and disappear. Discomfort, then, is not the enemy — it is the thing that slows relative time back down. Sean adds the other half: focus, being genuinely in the moment rather than running on muscle memory.Then Steve puts a hot one to him. He is often underwhelmed by people in field CISO roles, and he argues the position is overhead until it is not — frequently first on the chopping block. Sean does not flinch. If a company builds these roles without a strategic reason and hires people with no bench behind them, that is on the company. He walks through the questions he asked in his own interviews — what does success look like, what are the real pain points, how much selling is in the role — and how much the subtext tells you. The episode closes on narrative over geek speak, a Black Hat session, a possible third book, and his answer to the show's closing question: do not forget your roots.Key TopicsLeaving the operational CISO seat while the program was running wellWhy F5 built a field CISO role around education rather than salesRecreational learning: teaching, certifications, and staying a studentComplacency, autopilot, and the exhaustion of samenessActual versus perceived time, and how novelty slows the clockThe hot take: is field CISO the first position to get cut?Interview questions for a vendor role, starting with what success looks likeReading the subtext of an interview: politics, pain points, and red flagsBuilding the narrative that ties security work to the businessStaying comfortable being uncomfortable in a brand new roleGuest BioSean Murphy is field CISO for North America at F5, which he joined after more than twenty years as an operational CISO in highly regulated industries and a 21-year career in Air Force medicine. He has authored two cybersecurity books published by McGraw-Hill, contributed to ISC2 study material, and still teaches at Central Washington and Columbia Southern. He was a panel guest on The New CISO in 2022.GET A DEMO:

Cuánto cuesta de verdad tener inteligencia artificial en casa, explicado desde el saldo del banco: «yo no miro el contador de tokens, yo miro mi cuenta». Qué es una API contada en lenguaje de andar por casa —las gasolineras de la IA: recargas saldo, alimentas a tus agentes y ellos trabajan aislados de tus datos—, la llegada de DeepSeek V4.1 Flash con su millón de tokens de contexto, Gemini como segunda gasolinera de confianza para las fotos, y la pregunta del millón: ¿un modelo más potente gasta menos tokens?Spoiler: la respuesta no la da el benchmark, la da el extracto. Y ahí hay un número que habla por sí solo.Con mención final a José Frente al Cliente, porque todos tenemos nuestras tarifas de luz… y las de la IA son las nuevas.Contacto oficial del podcast

MacOS 27 - First Boot https://isc.sans.edu/diary/MacOS%2027%20-%20First%20Boot/33340 Cisco Secure Email Gateway SQL Injection Vulnerability CVE-2026-76461 https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-esa-inj-2bLVGmhX Detecting and Mitigating Active Directory Compromises https://www.cisa.gov/resources-tools/resources/detecting-and-mitigating-active-directory-compromises Protecting Tokens and Assertions from Forgery, Theft, and Misuse https://nvlpubs.nist.gov/nistpubs/ir/2026/NIST.IR.8587.pdf My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

WisdomTree's Head of Digital Asset's Will Peck joins us for Episode #1 of Convergence, our new institutional product for sophisticated investors in partnership with Jacquelyn Melinek and StrataMedia.WisdomTree's onchain assets went from $30 million to over $1 billion, and Will Peck says money market funds did the heavy lifting. On episode one of Convergence, Will explains why tokenized funds complement stablecoins rather than compete with them, and how WisdomTree got SEC exemptive relief to let a tokenized money market fund trade 24/7 through a broker dealer. He also pushes back on the private-markets tokenization thesis, arguing illiquidity isn't a record-keeping problem. Will Peck is the Head of Digital Assets at WisdomTree, a global asset manager and ETF sponsor with roughly $170 billion in assets under management.Convergence is powered by The Rollup and StrataMedia, covering the convergence of legacy finance and onchain finance.Timestamps:00:00 Intro02:52 What Convergence Actually Means04:30 Why WisdomTree Started In 201805:38 Exporting US Capital Markets08:56 Institutional Versus Retail Distribution10:32 The Innovation Exemption Explained13:14 DTCC's Forty Firm Pilot16:00 Three Models Of Tokenization19:35 Why WisdomTree Chose Issuer-Led21:10 Thirty Million To One Billion22:45 What Drives The Next Era25:05 Why Private Markets Aren't It28:05 Who Wins The Tokenization Wave30:14 The Perfect Storm For Adoption33:08 WisdomTree's North StarGuest Socials:Will Peck X: https://x.com/wbpeckWisdomTree X: https://x.com/wisdomtreeprimeWisdomTree Website: https://www.wisdomtreeprime.com/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

In this sponsored episode, Ronny Wolf of BlueCat Networks joins Johna and John to explore the importance of API-first architecture. They also discuss how BlueCat expanded beyond core DDI into intelligent network operations, the key differences between having APIs versus being built API-first, and how guardrails such as rate limiting and human in the loop... Read more »

Topics covered in this episode: Pandas Should Go Extinct Pydantic-pint puts real-world units in your Pydantic models How Libraries Run Rust Inside Python (With PyO3) AWS acquires DuckLabs Extras Joke Watch on YouTube Sponsored by Logfire from Pydantic: pythonbytes.fm/logfire Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Calvin #1: Pandas Should Go Extinct Pandas' slowness pushes teams toward "Big Data" tools (Spark, Databricks) they don't actually need — most workloads never hit true Big Data scale Amazon Redshift telemetry: ~95% of tables are under 100GB, ~87% of queries touch 80GB or less — that's "Medium Data," not Big Data Polars and DuckDB fill that gap: single-machine, fast, no cluster required 1 Billion Row Challenge benchmark: Pandas took 4m28s vs. Polars 5.04s and DuckDB 5.19s — DuckDB also used 19x less memory On a real-world NYC taxi dataset (3GB parquet), pure DuckDB ran 2x faster than pure Pandas while using a fraction of the RAM Bonus: Apache Arrow lets you pass data between Pandas/Polars/DuckDB with zero copying, so trying them out doesn't mean a full rewrite Michael #2: Pydantic-pint puts real-world units in your Pydantic models Pydantic-pint bridges Pydantic and Pint so models can validate physical quantities like 4m or 12 meters instead of bare floats. Fields annotated with PydanticPintQuantity parse user input, convert between compatible units, and serialize quantities back out as strings. That closes a real gap for anything consuming API payloads, config files, or sensor data with measurements, letting you enforce units at the validation boundary instead of hoping every caller remembered them. via PyCoder's Weekly newsletter Unit mix-ups have literally crashed spacecraft; now your Pydantic models can refuse them at the door. Annotate a field as Annotated[Quantity, PydanticPintQuantity('km')] and inputs like 12 meters arrive auto-converted to kilometers Validation covers string, numeric, and quantity inputs, and model_dump_json serializes quantities as readable unit strings Installable from PyPI as pydantic-pint, MIT licensed, with docs at pydantic-pint.readthedocs.io Early-stage solo project at version 0.4, so API stability and maintenance are open questions worth discussing Calvin #3: How Libraries Run Rust Inside Python (With PyO3) Pydantic v2's validation core (pydantic-core) is Rust under the hood, built with PyO3 — this post shows how that bridge actually works via a small hand-built JSON parser Four steps to get Rust into Python: write a normal Rust module, annotate with PyO3 macros (#[pyfunction], #[pymodule]), compile/install with maturin, then just import it The parser builds a Rust tree first — Python never touches it until the boundary crossing Key insight: converting the Rust result into Python objects (.into_pyobject) is often the expensive part, not the parsing — 100,000 JSON values means ~100,000 Python objects built after parsing's already done Errors cross the boundary too: Rust's typed errors convert into real Python exceptions (ValueError, FileNotFoundError) via From/?, so callers get clean Python semantics Takeaway for anyone porting Rust in: if you're returning a scalar, don't sweat it; if you're returning a big structure, profile the boundary — that's the real cost, not the algorithm Michael #4: AWS acquires DuckLabs Thank you Dylan McConnell. What does this mean for the DuckDB ecosystem? DuckDB is the open-source in-process analytical SQL engine. MIT licensed. The IP is not owned by any company - it's held by the nonprofit DuckDB Foundation, which was created when the team spun out of CWI Amsterdam. Peter Boncz, the CWI representative on the Foundation board, describes it as the entity that holds all IP of open-source DuckDB. DuckLabs (ducklabs.com) is the company, formerly branded DuckDB Labs. Founded a little over five years ago by Hannes Mühleisen and Mark Raasveldt to give the DuckDB team a stable long-term home, bootstrapped deliberately instead of taking VC, grown to 30+ people in Amsterdam, funded by support and feature-prioritization contracts. It employs the core devs. It does not own DuckDB. DuckLake is one of three projects DuckLabs builds, what they call the Duck Stack: DuckDB, DuckLake, and Quack. DuckLake is the lakehouse format that puts catalog metadata in a SQL database instead of in files on object storage. Quack is newer - an RPC-style protocol that turns DuckDB into a client-server system where both ends are DuckDB instances, slated to stabilize in DuckDB v2.0 in September 2026. MotherDuck is a separate Seattle company, Jordan Tigani's, selling serverless hosted DuckDB. It was started in partnership with DuckDB Labs and has worked closely with Hannes and Mark for four years. It contracted DuckLabs for engineering work and contributes heavily upstream - three of its engineers are among the top 10 outside contributors to DuckDB. It also sells its own DuckLake offering. Customer and collaborator, never owner. What the AWS post changes. Amazon bought the company, not the project. DuckLabs joined AWS effective September 1, with the process concluding August 31, 2026. Hannes and Mark keep leading the team and the project's technical direction, the team stays in Amsterdam, and DuckDB stays MIT under the Foundation. AWS gets the people and a direct line to the roadmap. The license protects your code, not your priorities. Three second-order effects worth tracking: The Foundation board is the real question. It has three directors: Mühleisen, Raasveldt, and Boncz. Two now work for AWS. Commentary on the deal has focused on exactly this - the license protects the code, not the roadmap. The announced counterweight is governance: a technical advisory board on the Foundation, and opening the extension stack so extensions signed by other developers can run in DuckDB. MotherDuck immediately moved into the business DuckLabs vacated. It now sells DuckDB enterprise support, which it had avoided because it didn't want to compete with DuckLabs' business model, and says it has explicit blessing from Hannes and Mark now that they're joining Amazon. It also bought Tower.dev the day before the AWS announcement. Everyone expects an AWS DuckDB service. Tigani says Amazon will likely release one eventually, and welcomes the competition, citing Redshift's failure to slow Snowflake on AWS. The groundwork is already visible: Amazon Quick uses DuckDB to query S3 Tables and has processed over 2.5B queries with it since launching in October 2025. The DuckLake angle is the one to watch. AWS is heavily committed to Iceberg through S3 Tables, and it just acquired the team behind a competing lakehouse format. The stated plan is to use DuckDB, DuckLake, and Quack together to power a new generation of data services, but which format wins internal priority is unannounced. Extras Calvin: astral-sh/uv 0.12.12: code-signed release binaries

What if you could eliminate the tedious data rekeying that eats up agents' days and instead focus on what truly matters: understanding risk and serving clients?In this episode of Making Risk Flow, host Juan de Castro sits down with Luke Bills, President of Independent Agent Distribution at Liberty Mutual, to explore how AI and automation can remove friction from insurance workflows. They discuss how technologies such as email-to-quote, API-driven processes, and SubmissionLess can eliminate repetitive data rekeying and streamline risk submissions. Luke explains why insurers should decouple intake channels from underwriting processes and use risk complexity, not premium size alone, to determine how submissions are handled. The conversation also explores how AI can amplify the value of independent agents by freeing them to focus on risk management, client relationships, and growth. Finally, Juan and Luke examine the importance of responsible AI governance, including model validation, privacy, human oversight, and cross-functional collaboration, when deploying AI across the insurance industry. Fan Mail: Got a challenge digitizing your intake? Share it with us, and we'll unpack solutions from our experience at Cytora.To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'.Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.Check out the three most downloaded episodes:The Five Pillars of Data Analytics Strategy in Insurance | Craig Knightly, Inigo20 Years as CEO of Hiscox: Personal Reflections and the Evolution of PPL | Bronek MasojadaImplementing ESG in the Insurance and Underwriting Space | Simon Tighe, Chaucer, and Paul McCarney, Moody's

In this sponsored episode, Ronny Wolf of BlueCat Networks joins Johna and John to explore the importance of API-first architecture. They also discuss how BlueCat expanded beyond core DDI into intelligent network operations, the key differences between having APIs versus being built API-first, and how guardrails such as rate limiting and human in the loop... Read more »

Damien Retzinger is the founder and software engineer at Graycore, and the BDFL of Daffodil, an open source ecommerce front end framework with about 60 libraries, one per unit of ecommerce, and a driver layer that connects the same storefront to Magento or Shopify, with a Medusa driver in progress.Daffodil came out of the Magento 1 to Magento 2 migration, when merchants wanted the upgrade and did not want their customers to learn a new website. Damien ripped the front end off, wrote an API for each version, and swapped them underneath, then decided to solve that problem once and never again.He now writes 75 to 90 percent of his code with a machine and reviews the output himself, and he thinks the individual contributor becomes a code reviewer inside two years. We also get into the Grill Me planning skill he recommends before letting anything rip, why lines of code is a poor metric and features per hour is a better one, headful against headless, and his read on the Magento lull in the US.What is next for him is the Graycore ecommerce AI starter, a free and open source one click Magento store on GitHub Codespaces, with Hyva, MageOS, or Daffodil on the front and Claude built in.Links Graycore https://graycore.io/ Daffodil https://github.com/graycoreio/daffodil Ecommerce AI starter https://ecommerce-ai-starter.graycore.io/ Damien on LinkedIn https://www.linkedin.com/in/damien-retzinger-7615ba91/Every guest on Talk Commerce gets a free joke whether they want one or not. Damien rated his an eight. The Free Joke Project

CMS Holdings operator Dan joins us for a conversation about positioning for the next bull market.Tokenized equities end up bigger than stablecoins, and Dan Matuszewski thinks most people have the reason wrong. It isn't about 24/7 trading or DeFi composability. It's that an enormous share of the world wants to own Nvidia and structurally can't, exactly the gap Tether filled for dollars. He also pushes back on the barbell everyone's crowding into, and makes the contrarian case that L1s are underrated because nobody can articulate why you'd own them.Dan Matuszewski is the Co-Founder of CMS Holdings and previously ran one of crypto's largest OTC trading desks.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro03:13 Altcoin Open Interest Signal04:33 Reading The Winners Basket06:38 Ten Days, 162 Percent of Gains08:17 The Barbell Portfolio Thesis10:39 Everyone Owns The Same Bag14:59 Who's The Next Marginal Buyer17:40 Institutional Adoption Is Still A Joke21:32 Moneyiness Is The Moat24:40 Centralization Stopped Bothering Us27:22 What Happens To Infra29:18 Crypto Needs To Behave31:16 Tokenized Equities Beat Stablecoins34:22 Who Captures Tokenization Value37:33 Where Social Trading GoesGuest Socials:CMS Holdings X: https://x.com/cmsholdingsCMS Holdings Website: http://cmsholdings.io/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Show DescriptionWe're joined by Thomas Steiner from Google to discuss his proposal for cross-origin storage, a new web API designed to bring back safe, cross-site resource sharing. We explore why the old shared-CDN caching model collapsed due to privacy and fingerprinting risks, and how this could solve those issues while avoiding those same pitfalls. Listen on WebsiteWatch on YouTubeGuestsThomas SteinerGuest's Main URL • Guest's SocialDeveloper Relations Engineer at Google, focused on the Web and Project Fugu. Links David Bushell daverupert.com 633: Thomas Steiner on AI in Chrome and the Web Pervasive Resources Intent to ship: Cache sharing for extremely-pervasive resources

Andrew welcomes back Constantin Hager, a senior systems engineer, PowerShell User Group organizer, and brand new Microsoft MVP. They open by revisiting Constantin's infamous "size of a finger" intro from his first appearance, then dig into his talks at PSConfEU this year on dev containers with GitHub Codespaces and on Maester, the testing framework for M365 and on-prem AD. A quick detour into the GitHub vs. GitLab vs. Codeberg debate leads into the main event: a deep breakdown of Microsoft365DSC, what it actually does, how it treats M365 tenant settings like Intune, Entra, and Exchange as idempotent, drift-monitored code, and how the M365DSC Workshop wraps the notoriously painful setup process into a lab folder anyone can run. They cover the workshop's multi-tenant design, its DSC Community roots, and the honest limitations, like settings that still aren't exposed through public APIs. Constantin also shares his organic path to becoming an MVP, updates on his user group's shift to English-language talks, and a heads up on an upcoming blog series diving deeper into M365DSC. They close with news on the free PSConfEU MiniCon, happening October 13th with the CFP open until September 25th. Key Takeaways: Microsoft365DSC turns M365 tenant configuration into idempotent, drift-monitored code, and the M365DSC Workshop exists specifically to make the notoriously painful setup process approachable through a ready-to-run lab folder instead of a hundred-page whitepaper. Not everything in M365 is automatable yet. Settings without a public API (some Copilot controls, for example) still require manual portal fixes or an interactive token, so full automation has real gaps today. Constantin's MVP award grew out of years of showing up, organizing his user group, speaking at conferences, and opening GitHub issues, not out of being the loudest voice in the room. Guest Bio: Constantin Hager is a senior systems engineer based in Germany, organizer of the PowerShell User Group Inn-Salzach, and a newly awarded Microsoft MVP. A returning guest of the podcast, he's known for his enthusiasm around dev containers, PSFramework, and now Microsoft365DSC.   Resource Links: Constantin Hager on LinkedIn https://www.linkedin.com/in/constantin-hager/ Constantin's blog, The IT Guide https://the-itguide.de Andrew's blog: https://andrewpla.tech PowerShell User Group Inn-Salzach (Meetup) https://www.meetup.com/de-DE/powershell-usergroup-inn-salzach/ Maester (M365 and Entra security testing framework) https://maester.dev/ Microsoft365DSC official site https://microsoft365dsc.com Microsoft365DSC on GitHub https://github.com/microsoft/Microsoft365DSC M365DSC whitepaper and CI/CD pipeline scripts https://github.com/ykuijs/M365DSC_CICD DSC Community https://dsccommunity.org PSConfEU https://psconf.eu PSConfEU MiniCon Call for Papers (Sessionize) https://sessionize.com/psconfeu-minicon/ PDQ Discord https://discord.gg/PDQ The PowerShell Podcast on YouTube: https://youtu.be/Vy4kaayGT2M  

A weekly news show informing you on the latest in Bitcoin, privacy and open source tech, hosted by Ungovernables, Max and Q.AOBMax: spent a full day and roughly $100 in API credits on a marketing project using lower-end models rather than his normal Claude subscription -- couldn't use it due to privacy concerns around Ungovernable content; a warning that frontier model quality costs real money per tokenQ: quiet weekend -- kids party Saturday, christening Sunday; off to Portugal on FridayNEWSRevolut hands passports and Bitcoin histories to a spoofed government request: attackers used a real government agency's email domain to extract passport scans, verification selfies, home addresses, and full transaction histories including Bitcoin activity; Revolut refuses to confirm the number of affected customers, the market, or the agency involved; attacker is now leaking customer files daily on Telegram and demanding 10,000 BTC -- CoinDesk, TechCrunch, DecryptLiquid exploit recovery: 3,400 BTC returned to block 965950 on September 7 via on-chain OP_RETURN negotiation; ~598.5 BTC (~$47M) remains with the exploiters; Blockstream refused the demanded 10% bounty, called it theft, and says it will work with law enforcement; block production resumed September 10 but peg operations remain suspended -- Bitcoin Magazine, news.bitcoin.com, CoinDesk, The Bitcoin ManualFinal CLARITY Act text drops: ethics deal done, developer protections narrowed; the Blockchain Regulatory Certainty Act now covers civil enforcement only with criminal protections removed -- including the charge brought against the Samourai developers; cloture vote is September 15 at 2:15pm ET, needs 60 votes; prediction markets put passage at ~25% -- The Crypto Times, The Block, The Hill, CoinDeskChinese quantum benchmark drops secp256k1 attack to 835 logical qubits, down 60% from the 2020 estimate of 2,124; current best hardware reaches 94 logical qubits; addresses with exposed public keys face the greatest future risk -- TFTC, CoinDeskAlby Hub authentication bypass lets attackers drain Lightning wallets: critical flaw in v1.7.0 through v1.18.5 allows unauthenticated remote takeover when port 8080 is internet-accessible; at least one user confirmed compromised; update to v1.24.0 and block external access to port 8080 -- The Hacker NewsBrevo breach lets attackers send phishing from Trezor, BitBox, and CoinTracking domains: attackers created API keys inside Brevo customer accounts allowing emails from real sending domains that passed SPF, DKIM, and DMARC; the lure was a fake STM32 Entropy Vulnerability alert targeting hardware wallet owners; Trezor and BitBox both confirmed the breach on September 9 -- CryptoTimes, DecryptRELEASESHighlightsElectrs v0.12.0 -- 2026-09-13Switches to the bindex indexing library. Requires Bitcoin Core 31 or later and a full reindex -- upgrade Core first and plan for downtime, especially on lower-powered hardware.Fedimint v0.12.1 -- 2026-09-12Security release fixing a vulnerability in the Lightning gateway's LNv1 payment handling. Gateway operators should upgrade immediately. The fix is consensus-neutral so federation participants and wallet users do not need to coordinate an upgrade.Radar v1.0.7 -- 2026-09-12Adds BOLT11 invoice payments alongside lightning addresses, scan-to-pay from the send screen, on-chain receive via bitcoin: URI, full balance hiding across the app, and Signal backup migration on a single device.Bitcoin Seed Tool v2.4.0 -- 2026-09-11Adds SeedQR scanning, Seed XOR splitting into 2-8 Coldcard-compatible shares, NIP-06 Nostr key derivation, BIP-44/49/84/86 descriptor export, and blank backup template printing. Also fixes seed leakage bugs -- existing users should update before use.Phoenix v2.8.2 -- 2026-09-08 (Android), 2026-09-07 (iOS)Adds Italian, Japanese, Polish, Ukrainian, and Korean language support. Android users can now manually set feerates on outgoing on-chain transactions, matching iOS parity.BTCPay Server v2.4.4 -- 2026-09-08Breaking-change release: NFC payments disabled by default at checkout, zero-amount invoices blocked by default, and Boltcard desktop setup removed in favour of the dedicated Boltcard app. Review the breaking changes before upgrading.Ashigaru Desktop v1.4.5 -- 2026-09-07Major catch-up release. Fixes broken HTTPS connectivity in earlier builds (missing crypto modules broke all outbound connections). Adds in-app update checking with signature verification, a guided tour, dice-based passphrases, and stronger Dojo node verification. Existing users on older versions must download manually.Flint v1.1.0 -- 2026-09-07Updates compatibility to BTCPay Server 2.4.4 and enforces Breez SDK Spark release gating. Upgrade alongside BTCPay 2.4.4. All artifacts signed with Sigstore build provenance.Everything elseAmethyst v1.15.2 -- 2026-09-12BasicSwap DEX v0.18.8 -- 2026-09-13BasicSwap DEX v0.18.7 -- 2026-09-10BDK FFI v3.1.0 -- 2026-09-12Citrine v3.1.1 -- 2026-09-10Core Lightning v26.06.7 -- 2026-09-11Fedimint v0.11.3 -- 2026-09-12JoinMarket-NG v0.39.2 -- 2026-09-12LDK v0.2.6 -- 2026-09-10LNbits v1.6.1 -- 2026-09-09ngit-cli v3.0.0 -- 2026-09-08Ride The Lightning v0.15.12 -- 2026-09-09RoboSats v0.8.7-alpha -- 2026-09-10Tor Browser 15.0.22 -- 2026-09-10Trezor Suite 26.9.1 -- 2026-09-11TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES w/ USD ----> https://www.givesendgo.com/billandkeonneDONATE TO THE FAMILIES w/ BTC ----> https://pay.zaprite.com/pl_JpxtkLv95T SUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ungovernable- BUY SOME STICKERS @ https://ungovernable.network/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.(00:00:00) INTRO(00:00:41) THANK YOU FOUNDATION(00:01:29) THANK YOU CAKE WALLET(00:03:50) The Privacy Tax(00:12:08) Kids Parties and Christenings(00:15:56) NEWS(00:16:14) KYC: Kill Your Customer(00:28:00) MORE NEWS(00:52:42) BOOSTS(01:02:36) UPDATES & RELEASES

Raagulan Pathy says KAST becomes a $100 billion company or it fails outright. There's no in-between, and he explains exactly why on this episode. The KAST founder and Frax's Sam Hamidi-Kazemian debate what's actually driving the neo bank and stablecoin boom, why regulators are starting to treat stablecoins as a national priority, and whether brand, network effects, or raw economies of scale end up being the real moat.Raagulan Pathy is the Founder and CEO of KAST, a stablecoin-powered neo bank. Sam Hamidi-Kazemian is the Founder of Frax Finance, the protocol behind the FRAX stablecoin ecosystem.Stable Up is Rollup's weekly stablecoin show, powered by Frax.00:00 Intro02:07 Stablecoins Growing Independent Of Price04:14 Banking Is Being Unbundled Now06:13 Stablecoins Eating Traditional Banking Share08:18 The World Wants A US Bank Account10:25 Genius Act Stablecoin Explosion Chart12:27 Robinhood Chain And Tokenized Equity Access14:38 Sam Announces New Platform Feature16:39 Global KYC Identity Layer Explained18:42 One Login Infinite Financial Products20:54 Collaboration Not Competition Strategy22:57 Genius Act Was The First Domino25:09 Everyone Wants Access To US Capital Markets27:11 Economies Of Scale Is The Real Moat29:13 Neo Banks Throwing Hands Up Daily31:21 Neo Bank Wave Now Shaking Out33:22 Onboarding Friction Killed Most Neo Banks34:48 Trust And Customer Service Build The MoatGuest Socials:Sam Kazemian X: https://x.com/samkazemianFrax Finance X: https://x.com/FraxFinanceFrax Finance Website: https://frax.com/Raagulan Pathy: raagulanpathyKAST X: https://x.com/kastxyzKAST Website: https://www.kast.xyz/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

John Gillen says Ethereum could hit $4,000 before the end of the year, and he's been making that case in a viral essay series called Wartime Ethereum. The ex-BlackRock analyst and Milk Road Daily Show host breaks down why tokenization and stablecoins are converging on ETH, why he thinks Wall Street is about to adopt it as its new favorite asset, and who he believes the next wave of buyers actually is.John Gillen is a host of the Milk Road Daily Show and a former BlackRock analyst who spent six years working on the Aladdin platform, including time with the firm's digital assets team.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.00:00 Intro02:21 Wartime Ethereum Article Origin Story04:30 ETH Worth Zero Or Everything06:13 Tokenization Exemption Coming After Clarity Fails08:18 190 Million ETH Holders Globally10:33 Uncanny Valley Of Wealth Explained12:44 Blackrock ETF Leader On Converting Gamblers14:55 Meme Coins As Portfolio Onboarding17:06 Samara Cohen Blackrock Quote On Investors19:14 Next Marginal Buyers Are Institutions21:16 Pay Gas Fees In USDC Coming23:00 USDC Gas Fees Radically Expand ETH MarketGuest Socials:John Gillen X: https://x.com/BitcoinJesusETHMilk Road Crypto X: https://x.com/MilkRoadDailyMilk Road Crypto Website: https://milkroad.com/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Anthropic detailed how it disrupted AI misuse for cyberattacks, surveillance, and bioweapons research, OpenAI paused new ChatGPT Pro signups amid Astra demand, AI assistant Instinct sought $1B in new funding, and IDScan confirmed its driver's-license breach. Anthropic publishes a threat intelligence report on how it disrupted efforts to misuse Claude for cyberattacks, influence operations, surveillance, and more (Anthropic) TechCrunch details Anthropic's five distillation campaigns, including a 151 million-exchange effort tied to Alibaba's Qwen models and a Moonshot AI campaign that routed Chinese military surveillance requests through Claude via 5,000 accounts (TechCrunch) The New York Times reports Anthropic blocked a scientist's grant request to engineer a more harmful chikungunya virus strain at a military research institute, one of several disrupted plots it says could have aided biological weapons development (The New York Times) OpenAI says it will pause new $200/month ChatGPT Pro subscriptions amid "unprecedented" Astra demand; existing accounts, other plans, and API are unaffected (X) Wired reports OpenAI has asked Congress whether an industry-wide AI slowdown would violate antitrust law, as a bipartisan bill to let AI labs coordinate on safety sits stalled in the House Judiciary Committee (Wired) Source: AI assistant Instinct is looking to raise $1B in new funding after recently raising $250M, as it seeks more computing power amid capacity constraints (The Information) ID verification service IDScan confirms that a data breach involved the theft of driver's licenses from its systems after hackers tried to sell 153M+ licenses (TechCrunch) Subscribe to the ad-free feed.

Norwin Lacson is Founder at NOLA SMS Pro. NOLA SMS Pro helps Philippine businesses and GoHighLevel agencies reach customers through automated SMS without relying on expensive international SMS providers. It lets you send SMS directly from GoHighLevel workflows and the Conversations inbox, so you can automatically trigger appointment reminders, follow-ups, order and pickup notifications, customer updates, and promotional messages based on CRM events. Messages are routed through local Philippine SMS infrastructure, helping reduce SMS costs to as low as ₱1 per 160-character segment compared with significantly higher international rates. Businesses can also use an approved branded Sender ID so customers see the business name instead of an unfamiliar phone number. With no Twilio account, custom API development, or separate SMS platform required, NOLA SMS Pro gives agencies, SaaS builders, clinics, service businesses, and local companies a simpler way to automate SMS communication with Philippine mobile customers.In this episode:00:00 Introduction00:54 NOLA SMS Pro 03:51 Problem being solved10:19 Product/service 24:35 Stories behind the startup33:38 Vision40:02 Motivation41:47 Milestone42:57 Challenges44:38 Advice46:18 Contact & informationNOLA SMS PROWebsite: https://nolasmspro.comWebsite: https://nolacrm.ioFacebook: https://facebook.com/nolacrm2025THIS EPISODE IS CO-PRODUCED BY:Symph: ⁠⁠https://symph.co⁠⁠OneCFO: ⁠⁠https://onecfoph.co⁠⁠Yspaces: ⁠⁠https://knowyourspaceph.com⁠⁠ (5% discount on virtual office, meeting rooms, and event space! Code: YSPACESSUP)Vition Consulting and Workshops: ⁠⁠https://ksfinancialsph.com⁠⁠Twala: ⁠⁠https://twala.io⁠⁠GigGenius: ⁠⁠https://gig-genius.io⁠⁠SkoolTek by Edfolio: ⁠⁠https://skooltek.co⁠⁠Red Circle Global: ⁠⁠https://redcircleglobal.com⁠⁠CHECK OUT OUR PARTNERS:Enactus Philippines: ⁠⁠https://enactus.ph⁠⁠SoftPhil AI: ⁠⁠https://softphil.com⁠⁠Multibook Philippines: ⁠⁠https://multibook.com.ph⁠⁠Ask Lex PH Academy: ⁠⁠https://asklexph.com⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Pahatid PH: ⁠⁠https://pahatid.ph⁠⁠Digital Workforce Group: ⁠⁠https://digitalworkforce.com⁠⁠Nascent Batteries: ⁠⁠https://nascentbatteries.com⁠⁠Level Up Talent Solutions: ⁠⁠https://lvluptalentsolutions.com⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠https://agiledatasolutions.tech⁠⁠CloudCFO: ⁠⁠https://cloudcfo.ph⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)ArkoTech: ⁠⁠https://arkotechspacesolutions.com⁠⁠DVCode Technologies Inc: ⁠⁠https://dvcode.tech⁠⁠Argum AI: ⁠⁠http://argum.ai⁠⁠PIXEL by Eplayment: ⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠https://schoolofprofits.academy⁠⁠Hier Business Solutions: ⁠⁠https://hierpayroll.com⁠⁠START UP PODCAST PHYouTube: ⁠⁠https://youtube.com/startuppodcastph⁠⁠Spotify: ⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠Apple Podcasts: ⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠Facebook: ⁠⁠https://facebook.com/startuppodcastph⁠⁠PIXEL: ⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠Website: ⁠⁠https://startupnetwork.ph⁠⁠This episode is edited by the team at: ⁠⁠https://tasharivera.com⁠

Welcome to "What's the Scenario? with PLRB", where we explore claims & coverage scenarios relevant to insurance professionals. I'm Brennan McLoughlin, and for this holiday week we'll be sharing a classic episode from the PLRB Weather team.   A CAT Manager is making preparations for her CAT team in advance of Hurricane Francine, which approached the Louisiana coast in the second week of September, 2024. She reads something about spaghetti models, and something about Fast Track cyclones?   Notable Timestamps [ 00:36 ] - The building owner submits the claim to their property insurer, looking for coverage for a new bollard. They have a standard CP 00 10 10 12, which does not include coverage for fences if the cause of loss was an accidental vehicle crash.  [ 01:21 ] - The PLRB team discuss pasta recipes. [ 02:47 ] - Hurricane Francine caused a great deal of damage to homeowners and businessowners by the Louisiana coast. [ 04:35 ] - Andrew shares some screenshots, available on the YouTube version of this podcast. [ 05:02 ] - An error cone is shown, demonstrating the suspected path of the hurricane. [ 05:28 ] - Spaghetti models show the various paths Francine might have taken. [ 05:46 ] - Peak storm surge forecasts color code area by feet of storm surge. [ 06:44 ] - The "Best Track" includes line, point data, and cumulative wind history. [ 07:20 ] - Spaghetti models are a forecasting tool that provides multiple expectant paths. Tracks closer together indicate certainty. These are available on PLRB.org or via API. [ 08:33 ] - Andrew demonstrates how spaghetti models can change over time. Error cones may be superimposed on the spaghetti models. [ 10:17 ] - Storm surge is the rise in seawater caused solely by the storm's winds pushing the water onto shore. Soup gets involved now. [ 11:15 ] - Best Track is a representation of the tropical cyclone's direction and intensity. The Best Track wind swath shows how the storm changed. [ 12:10 ] - Catastrophe Managers can use these forecasting tools in resource allocation. Best Track data can assist in estimating claim ratios. Claims Adjusters can use Best Track data to assist in claims decisions. Underwriters can use this historical data in risk assessment. [ 13:19 ] - Andrew provides a recap of the scenario and the points above. Your PLRB Resources Tropical Storm Francine: https://www.plrb.org/weather-cat/2024-francine/ Spaghetti Models: https://www.plrb.org/documents/view-tropical-cyclone-track-spaghetti-models/ Best Track Data: https://www.plrb.org/documents/view-national-hurricane-center-tropical-cyclone-best-track-maps/ Employees of member companies also have access to a searchable legal database, hundreds of hours of video trainings, building code materials, weather data, and even the ability to have your coverage questions answered by our team of attorneys (https://www.plrb.org/ask-plrb/) at no additional charge to you or your company. Subscribe to this Podcast Your Podcast App - Please subscribe and rate us on your favorite podcast app YouTube - Please like and subscribe at @plrb LinkedIN - Please follow at "Property and Liability Resource Bureau" Send us your Scenario! Please reach out to us with your scenario! This could be your "adjuster story" sharing a situation from your claims experience, or a burning question you would like the team to answer. In any case, please omit any personal information as we will anonymize your story before we share. Just reach out to scenario@plrb.org. Legal Information The views and opinions expressed in this resource are those of the individual speaker and not necessarily those of the Property & Liability Resource Bureau (PLRB), its membership, or any organization with which the presenter is employed or affiliated. The information, ideas, and opinions are presented as information only and not as legal advice or offers of representation. Individual policy language and state laws vary, and listeners should rely on guidance from their companies and counsel as appropriate. Music: "Piece of Future" by Keyframe_Audio. Pixabay. Pixabay License. Font: Metropolis by Chris Simpson. SIL OFL 1.1. Icons: FontAwesome (SIL OFL 1.1) and Noun Project (royalty-free licenses purchased via subscription). Sound Effects: Pixabay (Pixabay License) and Freesound.org (CC0).  

Ruthless hits the Midterm Convention in Dallas to break down the fight for Congress, Trump's strategy to turn out voters, and the biggest Senate battlegrounds, with Sean Duffy, Linda McMahon, Chris LaCivita, James Blair, and API's Mike Sommers joining the progrum. #RuthlessPodcast #Midterms #Politics 0:00:00 Intro 0:02:35 Trump's Midterm Convention Opens in Dallas 0:14:48 Texas Senate Race Puts Talarico and Paxton in Focus 0:22:38 Sean Duffy on Trump's Midterm Push and American Travel 0:29:16 Sean Duffy on Modernizing Air Traffic Control 0:35:13 Chris LaCivita and James Blair on MAGA Inc.'s Midterm Strategy 0:43:38 How Trump Allies Plan to Message Against Democrats 0:52:57 Linda McMahon on Reshaping the Department of Education 1:05:16 Mike Sommers on American Energy and Permitting Reform 1:10:20 Energy Security, Data Centers and the Strait of Hormuz Learn more about your ad choices. Visit podcastchoices.com/adchoices

What would you do if your manager asked you to make the audit trail editable? Why would Carol rather be evil? And would you still want to be a software engineer in five years, or is it finally time to buy the ice cream truck? This week the hosts answer listener questions on ethical lines, career pivots, and the future of software engineering.Follow the show and be sure to join the discussion on Discord! Our website is workingcode.dev and we're @workingcode.dev on Bluesky. New episodes drop weekly on Thursday.And, if you're feeling the love, support us on Patreon.Mentioned in this episode:starry-night - the syntax highlighter behind Ben's new blog API.DEF CON - the hacking conference behind the red-teaming and social-engineering discussion.271: Slop Is the New Clean - the earlier discussion of Uncle Bob and Matt Pocock's interview that Ben revisits.With audio editing and engineering by ZCross Media.Full show notes and transcript here.

Felix Jauvin says he's as bullish as he ever has been on digital assets and thinks the bottom is in.He's also been quietly rotating Bitcoin into Zcash and he lays out exactly why. The Blockworks Head of Content walks through the SEC's new tokenization exemption, why he thinks 75% of crypto tokens still have no real claim on value, his read on whether the Fed hikes in September. He explains Bessent's bond buying & the relationship with the Fed & Treasury.We end up discussing the barbell portfolio he's building around Bitcoin, Gold, and Zcash and revenue-producing onchain businesses like Hyperliquid, Lighter, PUMP and others.Felix Jauvin is Head of Content at Blockworks and the network's in-house macro voice, covering the intersection of crypto, monetary policy, and on-chain finance.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.00:00 Intro02:08 SEC Tokenization Exemption Coming04:14 Reset Your Priors On Everything06:09 Lending Is Going To Explode10:33 Revenue Meta Was The First Signal12:44 DeFi Is Now Just Finance14:55 Tokenized Equities Change The TAM17:06 Institutions See Tokens As Equities Now19:14 Quantum Risk Bitcoin Vs Zcash Debate23:51 Who Are The Next Marginal Buyers28:05 Felix Bought SPCX After Using Grok32:28 Tokens And Equities Are Converging36:58 What Gets Us To All Time HighsGuest Socials:Fejau X: https://x.com/fejau_incBlockworks X: https://x.com/blockworksBlockworks Website: https://blockworks.com/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Big Tech is pouring more than $1.4 trillion into AI, prompting investors to ask: Is it worth it? Our U.S. Internet analyst Brian Nowak looks at three business models that could earn 25 to 50 percent returns for Gen-AI-enabled technologies.Read more insights from Morgan Stanley.----- Transcript -----Brian Nowak: Welcome to Thoughts on the Market. I'm Brian Nowak, Morgan Stanley's U.S. Internet analyst.Today, can the enormous investment behind Gen AI actually pay off?It's Wednesday, September 9th, at 9am in New York.AI has moved quickly into everyday life. It helps people write software, research purchases, automate work, find information, among myriad[s] of other use cases.But we need an infrastructure build-out of extraordinary scale to support all of this activity and more activity to come.In all, we estimate that the major cloud providers are going to spend more than $1.4 trillion on this AI build-out next year alone. But compute capacity is potentially going to quadruple from 2025 to 2028, reaching roughly 120 gigawatts.But all of the spending has raised a lot of questions for investors. One of the most common questions is: What kind of return on invested capital can these companies earn from all of these trillions of dollars of data center infrastructure investment?Well, our bottom-up work points to encouraging answers to this question.We see paths to roughly 25 to 50 percent return on invested capital, or ROIC, across three emerging AI business models. Now, ROIC is a useful way of measuring whether investments pay off. Think of it as how much after-tax operating profit can be generated relative to the capital required in the first place.The first business model we've analyzed is renting compute power. This is the infrastructure layer of the AI economy. Cloud providers build data centers filled with advanced graphics processing units, or GPUs, and rent that compute capacity to customers. In our base case, a large next-generation data center can generate a return on invested capital of roughly 30 percent simply renting AI compute power.And even if rental prices move around, our scenarios still produce returns ranging from low 20s percent to nearly 40 percent. So, despite the enormous cost of building and capital being deployed for these facilities, we think the economics here are quite attractive.The second business model we've analyzed is where an AI lab has their own model, and they also own their own infrastructure. They give access to their model through an API to consumers and enterprises who then build upon it, they utilize the model. In some cases, they build applications using that model that can be future sources of productivity or efficiency for the economy.In this scenario, we think the economics can be even stronger. When the model developer owns their own underlying infrastructure, our base case generates a roughly 75 percent incremental operating margin and a return on invested capital of 40 percent plus.These returns on invested capital are impressive, but what determines whether these returns can actually materialize?Well, two things matter a lot. The first is the price the developers are able to charge for tokens, which are the units of information that AI models process. The second factor that matters considerably is how efficient[ly] can this infrastructure process these tokens.This is why continued improvements in chips and software to drive higher token throughput – or more tokens per GPU per second – are critical to the long-term unit economics across this AI ecosystem.The third model we've analyzed is when the AI developers rent their compute infrastructure rather than owning it. So, effectively, they are paying someone else for the data centers and the GPUs that they need. While this lowers their returns on invested capital because another provider takes a piece of the unit economics, our base case still produces roughly a 30 percent incremental operating margin and 25 percent post-tax return potential.So, while the AI build-out requires enormous investment, the size of the spending alone doesn't tell the whole story about whether or not there are economic returns to come.What ultimately matters is the revenue and profit that the infrastructure can generate. And as more of the infrastructure shifts from training AI models to serving customers through emerging products and inference, we think we're going to get a much clearer answer to this question investors are asking today.Was all this spending worth it? Our research suggests: Yes.Thanks for listening. If you enjoy the show, please leave a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

I've been on a hunt lately.Not for a new strategy. Not for a new platform.  For shortcuts.Real ones. The kind that save you actual time. Without costing you the impact.Let's be honest. Most "shortcuts" in marketing? Just corners getting cut. This isn't that.This is me trying to find where the busywork ends. And the real thinking can start.Here's the specific one I've been chasing.I want a tool. Something that looks at our Pinterest content. And tells me, fast — what's trending up. What's trending down. And what we should make next because of it.Not a vague vibe check.  An actual answer.Here's what that process looks like right now. Without the tool.Someone pulls Pinterest Analytics. Someone pulls Google Analytics. Someone's tracking Pinterest Trends by hand — because there's no public API for it.Then all of that gets stitched into a spreadsheet. Someone writes up what it means. And then, finally — we get to the fun part. Deciding what to create next.That's hours. Every single week. For every account.I've heard whispers of people doing this. Testing it on their own workflow. Their own content. Their own accounts.That's one thing.What I'm trying to figure out — is whether it holds up for client accounts. Multiple accounts. Different niches. Different goals. Different baselines for what "normal" even looks like.And here's my worry. I want to say this part out loud, instead of pretending I've got it solved.Gaps.What happens when the tool doesn't know a 20% dip in saves is totally normal for this account in July? But for that account, in that same month? It's a five-alarm fire.What happens when it flags something as trending, and it's really just noise?A good report doesn't just save you time. It has to be right. Or it's actually worse than doing it by hand — because now you're making decisions off something that looks trustworthy. And isn't.So here's what I'm building toward, behind the scenes.A weekly report. Pulls the analytics. Pulls the performance data. Flags what actually moved in a meaningful way. And hands it to us in something short.Bullet points. Something you can read in under a minute. Not a ten-tab spreadsheet you have to sit and interpret.I don't have it fully solved yet. I'm not going to stand here and tell you I cracked it, and here's the seven-step system.I'm in it right now. That's kind of the point of this take.So here's what I actually want from you.Have you seen anyone doing this well? Not just talking about automating reporting — actually running a tool like this against real accounts. Getting a report they trust.What did it get wrong? Where were the gaps?I want the real version of this story. Not the highlight reel.Because if we get this right — the payoff isn't just saved hours.It's that the time we get back goes straight into the part of this work that actually needs a human. Deciding what to create. Reading the account, not just the data.That's the shortcut worth chasing. Not less work for the sake of less work. Less time on the parts a machine can do accurately. So there's more time for the parts only we can do well.If you've tested something like this — or you're testing it right now — I want to hear about it.If you're in SPM Insiders, Drop it in the group. Let's compare notes.If not, email me, hello@Simplepinmedia.comThat's my take. Talk soon.—-------Here are some helpful links from the podcast:

It's part 2 of our reunion with Everpure technologists Andrew Miller and JD Wallace to continue our deep dive into the latest platform and technology innovations. This second part of the special series focuses on the advanced layers of the Everpure platform, moving beyond foundational storage to explore how the intelligent control plane and data intelligence are reshaping enterprise operations. Our conversation breaks down the shift toward intelligent automation, detailing how Fusion and Pure1 empower IT teams to manage massive data estates as a single cohesive entity rather than fragmented islands. Andrew and JD explain the practical benefits of an open and interoperable architecture, discussing how modern MCP servers and API driven integrations enable admins to evolve from managing individual arrays to acting as strategic data architects. Our episode concludes by unpacking the transformative role of Everpure Data Intelligence and the Enterprise Data Cloud success blueprint. We highlight how these tools bridge the gap between observation and automated action, helping organizations solve complex challenges like semantic data sprawl, cyber resilience, and AI readiness. Listeners will gain a clear roadmap for scaling their operations and driving better business outcomes with a truly unified data strategy. To learn more, visit: https://www.everpuredata.com/pure-launch-updates-releases.html? Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Coming Up and Intros 03:05 Recap on Data Primacy Narrative 05:44 Simplicity at Scale with Fusion 12:41 Open and Interoperable 16:38 App Intelligence 21:40 Agentic Features 24:12 Rebalance and Mobility 27:59 Automation Your Way 31:40 Universal Data Intelligence 34:50 Why Data Intelligence Now 40:35 Personas for Data Intelligence 46:48 Enterprise Data Cloud Outcomes

Dan Held joins us to unpack what it means to become a generational investor in today's world. For reference, he bought Bitcoin in 2012 and recently sold a lot to pour it into SpaceX, and says the thesis has barely started. The longtime Bitcoin investor lays out why Starship's collapsing launch costs could unlock a total addressable market bigger than global GDP, why he thinks this cycle just bottomed at $81,000 on the back of the Fed's bond-buying, and why Zcash's run looks more like a crowded trade than a real discount.Dan Held is an independent investor and Bitcoin OG who bought his first coin in 2012, previously led growth at Kraken, and has spent over a decade publicly calling market cycles.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro02:13 Apathy Was The Bitcoin Bottom Signal04:15 OG Bitcoiners Are Buying Zcash06:22 Privacy Chains Have A Supply Tradeoff08:18 Bessent Treasury Twist Explained10:46 Dan Sold Equity To Buy SpaceX14:06 SpaceX Will Own Your Phone Plan17:05 New York To Tokyo In 25 Minutes19:00 SpaceX At $10T In Three Years23:51 What Invalidates Your Investment Thesis28:05 Sold At $1,000 Per BTC, Missed On Millions Story30:14 Bitcoin Is Still Not Digital Gold Yet34:44 Family Offices First Into Crypto39:01 Dan's Net Worth Dropped 85% Three TimesGuest Socials:Dan Held X: https://x.com/danheldDan Held Website: https://www.danheld.com/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Topics covered in this episode: EuroPython 2026 videos are online The State of Django 2026: Boring is so back htmx 4.0.0 has been released

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called “AgentBaiting,” in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-399

Everything you knew about performance testing changes when the system you're testing is non deterministic. In this episode of the TestGuild Automation Podcast, Joe Colantonio sits down with Kandasamy Selvaraj, Principal Architect and author of the free book Rethinking Performance Engineering for Agentic AI, to unpack what it really takes to move an AI agent from a working demo to an enterprise system handling millions of conversations per hour. Checkout his free book: https://leanpub.com/agentic-ai-performance Kandasamy shares the practical playbook he's built running agentic AI in production, including why the same request can take three seconds one run and eight seconds the next, how to use harnesses to bound tool calls, reasoning loops, and token budgets, and why your SRE dashboard can look perfectly healthy while your token costs quietly balloon to five times baseline. You'll learn how his team: Shifts performance gates left into every commit with JMeter Shifts right with synthetic monitors on blue green deployments Uses Langfuse and OpenTelemetry to spot context bloat before it hits production. You'll also hear how to: Slash AI costs with prompt caching Conversation capping Routing simple queries to cheaper models Why you should load test at the API layer before touching the UI, How to keep stubs honest with production sampled latency Why one misbehaving agent can starve every other agent sharing the same provider. If you're a tester, performance engineer, SRE, or architect building on LLMs, this conversation will change how you think about scale.

AWS Morning Brief for the week of September 8th with Corey Quinn. Links:AWS Lambda now supports SnapStart for container image functionsAmazon CloudWatch now supports warm-up periods for alarmsAmazon Kinesis Data Streams announces data delivery to general purpose Amazon S3 bucketsAmazon Linux 2027 is now available in public previewAmazon CloudFront announces API support for flat-rate pricing plansAAA games on a $35 stick: How Luna removes the hardware barrier with AWSHow t54 built a trust layer with Amazon Bedrock AgentCore paymentsIntroducing Claude Fable 5.1 on AWSTokenomics at scale: How Jamf built real-time spend enforcement for Amazon BedrockHow PGA TOUR automated live profanity detection with AWS using Amazon TranscribeAWS and Microsoft Azure collaborate to expand multicloud networkingWe invited a direct competitor into Security Hub Extended. Here's why.Detect stalled Amazon S3 live replication to prevent unexpected storage costsSix AWS security bulletins in five days

Trucking is spending a fortune on AI and automation. But what if fleets are automating the WRONG damn thing?AI can quote freight, process tenders, move data, predict maintenance problems and eliminate hours of back-office work. What it CAN'T do is lead your people.On this episode of Brake Check, Charles puts both sides of trucking's technology revolution in the hot seat. Grace Sharkey of Orderful has lived freight from nearly every angle .... brokerage executive, FreightWaves journalist and now freight-tech insider. We break down AI in trucking, freight automation, EDI, back-office technology, carrier productivity and how small fleets can separate REAL technology from another expensive demo with “AI” slapped on the front. What should a 20-truck carrier automate FIRST? What should stay human? How do you prove a technology investment actually delivers ROI? And how can you tell the difference between a real AI product and somebody who simply wrapped a shiny dashboard around an API?Then Dr. Vernard “Doctor V” Jenkins of Knight-Swift Supply Chain takes the other side.With 29 locations and roughly 10 million square feet of operations, Doctor V tackles leadership, employee retention, frontline management, AI implementation, change management and developing the next generation of transportation leaders. Because a dashboard can tell you WHAT happened. It still takes a leader to figure out WHY. And then we put $100,000 on the table:SOFTWARE OR PEOPLE?You can only choose one.If you're a fleet owner, trucking executive, owner-operator, freight broker, logistics professional, operations leader or anyone considering AI and automation, watch this before buying another piece of technology.The future isn't about choosing humans OR machines.It's knowing which damn job belongs to which.AUTOMATE THE WORK. NOT THE PEOPLE.#Trucking #AI #ArtificialIntelligence #FreightTech #TruckingIndustry #Automation #Logistics #FleetManagement #TruckDrivers #Leadership #SupplyChain Learn more about your ad choices. Visit megaphone.fm/adchoices

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Show Notes: https://securityweekly.com/asw-399

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-399

AI could be bigger than electricity.Anastasios Angelopoulos is seeing that shift firsthand, with Arena ranking 500+ models and tracking roughly 10 new releases every week.On Grit, he explains why there may never be one dominant AI model and why the API layer may be less sticky than people think.Guest: Anastasios Angelopoulos, Co-Founder and CEO of ArenaConnect with Anastasios AngelopoulosXLinkedIn Connect with MamoonXLinkedInConnect with Joubin:XLinkedInEmail: grit@kleinerperkins.comFollow Grit: LinkedInX​Learn more about Kleiner Perkins

Send us Fan MailLinking the Travel Industry is a business travel podcast where we review the top travel industry stories that are posted on LinkedIn by LinkedIn members.  We curate the top posts and discuss with them with travel industry veterans in a live session with audience members.  You can join the live recording session by visiting BusinessTravel360.comYour Hosts are Riaan van Schoor, Ann Cederhall and Aash ShravahStories covered on this podcast episode include:262 former pilots sued Ryanair and others for classifying them as self-employed contractors when they should have been employees.Google reveals it is testing end-to-end agentic AI hotel booking process flows.The US Federal Aviation Administration has ordered inspections of 471 Boeing 737 MAX aircraft after identifying a potential structural issue. The airline API platform Kyte releases access to the airline Volotea, and as a result it also becomes available to agents via AirGateway.Air China completes the first international flight with a Chinese COMAC C919, on a routing from Beijing to Ulaanbaatar, Mongolia.Extra StoriesYou can subscribe to this podcast by searching 'BusinessTravel360' on your favorite podcast player or visiting BusinessTravel360.comThis podcast was created, edited and distributed by BusinessTravel360.  Be sure to sign up for regular updates at BusinessTravel360.com - Enjoy!Support the show

Arthur Hayes joins us for a session to understand the underlying economic forces leading to a massive digital assets bull market in the coming months and years.The money printer is about to flip back on and Arthur Hayes says the Euro/Yen exchange rate is the tell everyone's missing. He gets into why Japan's forced unwinding of its massive carry trade, combined with France's brewing bond market crisis, all but guarantees a faster pace of dollar liquidity creation. He also makes the case that AI's unit economics problem becomes the government's next excuse to print more fueling the fiat debasement thesis further. He explains his positioning in the market and reveals why Ethereum is Maelstrom's largest position heading into this cycle.Arthur Hayes is the CIO of Maelstrom, the family office of BitMEX co-founder Arthur Hayes, and a prominent macro commentator in digital assets.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro01:57 Fed Chair Warsh Is Irrelevant04:03 Japan's GPIF Asset Shift09:34 Japan's National Carry Trade12:24 Exiting The Restrictive Regime14:51 The AI Bailout Trade17:59 Gold And Bitcoin Vs Tech20:57 Misallocated Capital Flows To Crypto23:53 Who Controls The Narrative28:52 Crypto Timeline To New Highs32:24 Euro/Yen As Leading Indicator35:38 France's Bond Market Crisis39:11 Positioning The Barbell PortfolioGuest Socials:Arthur Hayes X: https://x.com/CryptoHayesMaelstrom X: https://x.com/MaelstromfundMaelstrom Website: https://maelstrom.fund/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Jake Chervinsky joins us in the Tokenization Tower to explain the path for Hyperliquid to enter the US markets.Trump said "Hyperliquid" on national television and Jake Chervinsky was there to watch it happen live. He explains why perpetual futures are already coming to the US through the CFTC, why Hyperliquid is infrastructure rather than a competitor to exchanges like Coinbase and CME, and why the silver and oil market breakouts proved this technology is bigger than crypto. He also unpacks the new Circle-Hyperliquid stablecoin fee deal and makes the case that CLARITY Act-style comprehensive legislation may be dead, in favor of narrow, GENIUS Act-style bills targeting specific proven products.Jake Chervinsky is the CEO of the Hyperliquid Policy Center, leading the effort to bring onchain derivatives markets into US regulatory compliance.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Guest Socials:Jake Chervinsky X: https://x.com/jchervinskyHyperliquid Policy Center X: https://x.com/HyperliquidPCHyperliquid Policy Center Website: https://hyperliquidpolicy.org/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Don’t miss this massive ecosystem shift! Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ Host Vince Menzione sits down with industry leaders Nicole Dziedzic, Erwin Visser, and Mira Ayad to uncover the critical transformations happening across the technology ecosystem and marketplace. The panel explores the impact of Reseller Enabled Offers (REO), the changing role of distribution into aggregation, and the immense opportunities surrounding agentic AI. They also dive into why MSPs need to ruthlessly simplify their technology stacks to make room for business value selling, and how data tools like ASPX are changing the game for proactive channel strategies. https://youtu.be/4Ox507-0l_8 Key Takeaways The marketplace has completely transformed software procurement and is now rapidly expanding into the SMB sector. Reseller Enabled Offers (REO) allow partners to own private offers on behalf of ISVs while maintaining their trusted advisor status. Ingram has introduced the MCP server to help partners automate and pull necessary distribution data seamlessly. The next few years represent a “golden age” for MSPs if they can successfully adopt, build, and operationalize AI agents. Microsoft’s ASPX platform gives partners critical usage and marketing signals to proactively target customer opportunities. MSPs must simplify their bloated technology stacks to create space for selling true business value with agentic AI. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags agentic AI, Reseller Enabled Offers, MCP server, marketplace syndication, ASPX data, Agent 365, precision velocity, managed service providers, hyperscaler enablement, technology stack simplification, Ultimate Partner Experience, cloud solutions strategy, customer zero, ISV go-to-market. Transcript Nicole – Erwin – Mira Podcast [00:00:00] Mira Ayad: I think it’s a very simple formula. Start where your customer is at, like meet the customer. Where they act is not just a generic cliche state statement. [00:00:10] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way hyperscalers are partnering, how AI is remaking the channel. And what it means to win in 2026. [00:00:21] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes, the voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:43] Vince Menzione: It is the strategy because being in the room changes everything. Let’s start. [00:00:53] Vince Menzione: We’ve got some word friends of ultimate partner coming up now, and then I’m gonna have them come up and introduce themselves. Uh, most of these people I’ve had the opportunity to meet Nicole, come on up. Come on. Good to meet you. I’m gonna have everyone introduce themselves. This guy, I never know. I’ve never met this guy before. [00:01:12] Vince Menzione: Mira, great to see you again. We gotta be on stage about a month ago. Yes. And we get to do this again while a different panel conversation. So, terrific. [00:01:22] Vince Menzione: Nicole, we’re gonna start with you on from the far end and come this way. So I’ll have you introduce yourself to, to our audience. [00:01:27] Nicole Dziedzic: Yeah. So, uh, so I lead our, uh, US business for Ingram, uh, really focused on our customer success and renewals across our vendor stack. [00:01:36] Vince Menzione: Thank you for being here. [00:01:37] Nicole Dziedzic: Okay, [00:01:37] Nicole Dziedzic: thank you. I’m excited. Awesome. [00:01:39] Erwin Visser: Yeah. Uh, great to be here again. Thanks, uh, fin for, for having us and a lot of familiar faces. So, uh, Erman, Viser, uh, I recently changed roles, so four weeks ago, uh, in Microsoft. I’m, uh, I just, uh, started to, uh, to lead the, uh, the Cloud Solutions Strategy team, uh, still in GCPS, so our global channel organization. [00:02:01] Vince Menzione: And Mira, great to see you again. [00:02:03] Mira Ayad: Same here. Yes. I’m looking forward for this conversation. We had so much fun last time. [00:02:07] Vince Menzione: Yes, [00:02:08] Vince Menzione: so [00:02:08] Vince Menzione: good. [00:02:09] Mira Ayad: My name is Mira Ayad . I’m the GM for a global Microsoft marketplace. My team leads the strategy and operations. I’ve been with Microsoft for seven months, I think, but this is not my first rodeo. [00:02:21] Mira Ayad: This is my fourth time boomeranging to Microsoft. Yeah. [00:02:26] Vince Menzione: And for context for people, we have talked about marketplace quite a bit, but the conversation has expanded at Microsoft in, in bigger ways. Uh, before, was it November that. REO was announced. [00:02:39] Nicole Dziedzic: Yes. [00:02:40] Vince Menzione: Yes. We’ll talk about that. But maybe you, you talk a little bit about the reseller enabled, uh, offers and, uh, and maybe we’ll take, we’ll take us through that and then how Ingram has been a great partner, and of course, Erwin’s organization has been really front and center with some of this. [00:02:55] Vince Menzione: So let’s go there for, let’s go first tell us, tell us about, about REO. Sure. For those and, and your, your role is, um, we had Cy on stage yesterday. But your role is front and center with the channel, with the with the reseller community. Right. Taking marketplace into the resellers. [00:03:12] Mira Ayad: Sure. So, uh, Cyril is my partner in crime. [00:03:16] Mira Ayad: He leads the marketing for marketplace. Um, my team focus across all personas that hits marketplace from an ISV to channel partners, buyers, and even the Microsoft sellers themselves. Like how can we bring that vibe and that energy? To bring marketplace, to be front and center. Um, REO is, um, a feature that we’ve launched back in November and it’s, it was a very strong statement from Microsoft of how we’re bringing the channel partners into that marketplace journey. [00:03:45] Mira Ayad: With RE Reseller enabled offers, we allow partners to own the private offer that they can extend to their customers on behalf of the SDCs. So kind of bring that scale mechanism for SDCs to access that channel community and for the channel partner to remain the trusted advisor and provide not only marketplace, um, products, but Microsoft services their own professional services. [00:04:12] Mira Ayad: And wrap that and provide a one-stop shop for customers. [00:04:17] Vince Menzione: And it’s really lit up organizations like Ingram. Nicole, I like, it’s been a maybe a minute here, like talking about the evolution of Ingram. ’cause I think back at the old role of the DTI credit, availability of product and delivery, right? Yeah. The kind of the three things. [00:04:34] Nicole Dziedzic: Yeah, and those are still really, really important to the core of how we go to market. ’cause I think we heard yesterday, every dollar of software, uh, requires a dollar of hardware. So it’s not anything that we’re getting away from. But I think, you know, the marketplaces and the automation, and really where we’ve been transforming our business over the last six to 10 years is how do we take some of that transactional work away from our partners? [00:04:57] Nicole Dziedzic: Make it simpler so that you can really focus on more strategic areas. Marketplace has been a, a heavy part of our go-to-market and something that we’ve been embracing for many years now, um, and seen a lot of success in helping the partners on that journey and helping the vendors really accelerate that with the partner community and the end customers. [00:05:15] Nicole Dziedzic: But it’s also really enabled us to look at how do we wanna show up into our partners differently, right? So as we automate our business. Help our partners automate their business. We have the opportunity to upskill our own resources. And so some of the key areas that we’ve really been focused on is our post-sales motions, and how do we really ensure that the partners customers are leveraging the technology, optimizing it, and adopting it in a much faster pace. [00:05:45] Nicole Dziedzic: So that the investments that they’re making are netting an ROIA lot quicker. Those, uh, those have been things that we have accelerated across our vendor stack. Um, and I think it’s gonna become much more important as we continue to see technology evolve, especially around AI and co-pilot’s. A huge part of what we’ve been really focused on for the last year. [00:06:05] Nicole Dziedzic: Um, the biggest thing that we’re really seeing in the market today. Not just within the MSPs, but within our end customers is that they struggle in terms of how they really get the ROI out of it quickly. Um, and so our team is very human first. Uh, we do have digital motions, but really human first to really dive into the different personas. [00:06:25] Nicole Dziedzic: How do we help them attack that from an end customer perspective? How do we really help them drive value out of those solutions? [00:06:32] Vince Menzione: So what does enablement look like for them? [00:06:34] Nicole Dziedzic: Yeah, so, um, I loved the quote, uh, from some of the folks in the last session because it’s really about meeting our customers where they are. [00:06:42] Nicole Dziedzic: And so it is a, I always call it we play in the gray and we love to play in the gray all day. Um, because our partners and our our partners customers wanna interact differently. And so we wanna make sure that we have, um, ways to interact with them across. Stack both from a digital standpoint where you can really drive efficiency through digital messaging and marketing, um, all the way up to high touch. [00:07:03] Nicole Dziedzic: So those larger customers can get, uh, hands-on training and enablement. We can do it on behalf of our partners or with our partners to really drive that into the end customer, and then that enables us to really customize it. So what personas are we going to engage with? What are the key features we’re looking to get out of it? [00:07:20] Nicole Dziedzic: Um, and largely what are the outcomes that that company is driving towards over the next 1, 2, 3 years, so we can always stay ahead of what their needs are. [00:07:29] Vince Menzione: Nice. So Erwin, what is Microsoft doing to enable this distribution channel to be more effective with partners? [00:07:36] Erwin Visser: Yeah. Uh, it’s a great question. And, and Nicole, I I love how you, uh, and, and Ingram is, is kind of really leaning in mm-hmm. [00:07:43] Erwin Visser: In driving these customer outcomes and, and helping your partners that even if needed, kind of working with your partners or stepping in front of your partners to help drive these outcomes. ’cause I, I think that’s, uh, we’re. Uh, it clearly ev you, you need to meet the customer where they is. But, uh, having helping customers adopt ai, adopt these new AI solutions agents, I think that is going to be super important for partners to drive, uh, incremental value and also the ROI for themselves as well as for the, for the customers. [00:08:14] Erwin Visser: But Microsoft is, have we, um, one of the things that we are heavily investing in at this moment is our skills platform, our scaling platform. So we, we, if, if people have followed us, we kind of revamped it in the last three, four months. Uh, and we are really not just investing now heavily in technical skills, but also project readiness skills for partners as well as sales skills. [00:08:37] Erwin Visser: Uh, like how do you sell in this new world of, uh, of ai. So where you can see, uh, uh, incremental, uh, ongoing investment in our scaling platform. Um, the other thing that we’re, we’re really working on at this moment, uh, with our. Tech team is, is building more helping partners to build like standardized service offerings and also understand this what’s, what is the capability they need to be successful in and, and become ed themself. [00:09:05] Erwin Visser: And, and we’re doing that also in partnership with the, with income. So income can use kind of some of these, these frameworks than to, to leverage them for their partners and then help with, uh, with that enablement. [00:09:18] Vince Menzione: So Mira when we think, so we think about it from a couple different lenses here, right? [00:09:22] Vince Menzione: Because we’ve got the Microsoft first party products that are, that are being offered through distribution channel to customers, and then we have what I call third party, right? Mm-hmm. Which is a lot of what the marketplace does. It does both. But I think about the marketplace, I think about ISVs, I think about agentic ai. [00:09:40] Vince Menzione: How do we, how do you bring it all together? [00:09:43] Mira Ayad: Um, the way I think of marketplace, and you and I talked about this before, yes, it’s that intersection where SDCs ISVs services and solutions meet. First party solutions meet professional services provided by system integrator and all wrapped up to provide that complete solution for customers. [00:10:04] Mira Ayad: So marketplace, kind of that perfect intersection for all of those parties to meet, um, from a customer perspective depends on the segment. We all know that marketplace is born and raised to be an enterprise tool. Now we’re seeing more and more s and b customers coming trying to leverage marketplace. [00:10:20] Mira Ayad: Yeah, [00:10:20] Vince Menzione: very much so. [00:10:21] Mira Ayad: So the role of enablement and how we activate the channel to really be front and center, more proactive as they go and talk to their SMB customers. Find the ways to monetize their solutions and their services for the SMB customers so they can adopt that marketplace. Because with everything that’s happening in the industry, one thing we know for sure that marketplace transformed how procurement of software happens. [00:10:46] Mira Ayad: Yes. And it’s here to stay. [00:10:48] Vince Menzione: Very much so. Very much so. And Nicole, I’m interested too on, on this side because we, we have, this is the first year that we’ve invited quite a few MSPs into the room as well. Right. We were very much ISV and reseller and, and SI focused. Uh, this time has changed like no other. [00:11:05] Vince Menzione: Right. We’ve been talking all morning about all this agentic ai. As an as an MSPI, my my sense is like I need to have my hands on the steering wheel for my customer at all times. And how are you thinking through it? How are you working with those organizations on driving some of that? [00:11:22] Nicole Dziedzic: Yeah, so again, it’s about meeting even our partners where they are. [00:11:26] Nicole Dziedzic: And so one of the things that we’ve recently released at Ingram is our MCP server. And so how do we enable our partners to then connect their agent capabilities that they’ve built internally to grab the data from Ingram so that they can interact with us how they want to, you know, we have our platform and, and. [00:11:43] Nicole Dziedzic: We don’t wanna force everybody to go into a platform. And so that server is gonna enable you to build capabilities internally in the tools that you’ve already invested in so that you can, again, refocus your energies and your teams, um, on selling on these new go-to markets that enables you to grab the data that you need and. [00:12:03] Nicole Dziedzic: Essentially a snapshot of your account when you’re buying through distribution, all with a really simple click of a button. I know I, I oversimplify it, but I’m not that technical. Um, but it is really a click of a button. And so as we continue to release capabilities, API feeds, if you’re connected via that server and you have those agent capabilities already internally, then it’s as simple as us just continuing to release and you’ll continue to be able to grab that information. [00:12:28] Vince Menzione: Mira’s gram’s approach, what you’re starting to see across most of the distribution channel. Yeah, [00:12:34] Mira Ayad: more or less, yes. Like we, we’ve seen, we’ve partnering with Ingram on, on multiple fronts. Uh, there’s another feature that we bring and Ingram has been our, uh, partner in crime, which is syndication, which we push the marketplace listings into the Ingram portal to support what Nicole just said. [00:12:52] Mira Ayad: So partners get to use the tools that they are using today. We’re meeting them where they are. We’re not forcing them into one platform over the other. Um, I think enablement. The role of enablement and the distributor as an enabler is going to grow even more. Uh, switching that message of how can you sell a task oriented agent versus a solution [00:13:17] Mira Ayad: Yes. [00:13:17] Mira Ayad: Um, is a, is a game changer. And we also see, I I like to say this, like distribution are now becoming an aggregation and a distributor. Yes. So they get to aggregate all that solution between all hyperscalers marketplaces. And find that core enablement so partners can be a plug and play and use their core competency to sell and be that trusted advisor for their customer instead of wasting time trying to figure out where to get enabled or how to get enabled. [00:13:44] Mira Ayad: Mm-hmm. So absolutely a hundred percent the aligned. [00:13:46] Vince Menzione: Yeah. Enablement seems to be a big theme here, right, Nicole? And, and, and you’ve got some new products is MCP server and. Some of the things you’re doing there as well. [00:13:55] Nicole Dziedzic: Yeah, I would say even above and beyond the, the MCP server for the automation, you know, enablement enable is kind of our core function of our enablement strategy and enable ai, enable MSP are two of the most recent ones that we’ve released to market. [00:14:10] Nicole Dziedzic: Um, one of the things that we’ve really identified. Especially within the M-S-P-S-M-B and mid-market partner community is that there’s still a struggle in what does AI actually mean for my strategy and out to my end customers. And so we’ve created paths to enable our partners, MSPs, their end customers on how do you build that strategy for AI that’s both going to create outcomes for your end customers, um, but also be safe and secure as you kind of bring it to market. [00:14:39] Vince Menzione: Erwin on your side, on the marketing side, and you just shifted roles. You were [00:14:43] Erwin Visser: Yeah. Know. Yeah. Piece. Well, I didn’t forget everything that I did. Okay, good. No, I, it was only last week. Right. I’m, I’m getting older, but I still have a little bit of memory. Last year, uh, the, the, um, yeah, I wanted, uh, react quickly on the, on MSPs, especially think it’s incredible time. [00:14:59] Erwin Visser: And, and, uh, and, and so you, I think most people probably know that Microsoft, this, uh, our fiscal year start on July 1st. So May, uh, uh, April, may up to June is like really our crunch time for planning. So we’re in the middle of it. But, and, and without seeing, like giving you too much like insights or details, but. [00:15:18] Erwin Visser: We, we believe there, uh, is an in significant opportunity, almost like the golden age for MSPs in the next years. [00:15:25] Vince Menzione: Yes. [00:15:26] Erwin Visser: Uh, if they are able, the, the partners that are able to embrace ai, and we, we kind of think about it in, in maybe in three different like steps or, or framework of clearly, uh, being a customer, zero. [00:15:41] Erwin Visser: And I assume a lot of people, or a lot of people talked about it in the last day and a half, so I don’t have to go in deep here, but hey, you have to adopt the technology itself to be able to deliver and sell it to customers. But then the, the other two steps that we believe one is, uh, uh, built an an agents or an agent accelerator and, uh, that can mean that. [00:16:02] Erwin Visser: Uh, leverage, uh, marketplaces for finding and customizing agents or having competency in-house to build agents for your customers. And then the third step is, is operationalize agents. And I think pe the partners that have experience at this moment with managed services probably have a step ahead. ’cause we had the in. [00:16:24] Erwin Visser: For more and more customers in the future, we’ll rely on a partner to manage and to help support their, their, uh, agent infrastructure. And so, uh, MSPs that can really, uh, jump into that and can help customers to manage, protect, secure, uh, uh, uh, their, uh, their agent in, uh, infrastructure, uh, that will be an an significant opportunity. [00:16:49] Erwin Visser: Um, one of the products that, you know, I’m, I’m not gonna do a product pitch yet, but still, I’m gonna mention you can, [00:16:55] Vince Menzione: and you can also share things that are gonna be announced with us as well. [00:16:58] Erwin Visser: Well, this is, uh, this is, this is announced already, but hey, we, uh, one of the technologies we are very excited about that’s, uh, hopefully can also support MSPs is, uh, agent 365. [00:17:10] Vince Menzione: Yes. [00:17:10] Erwin Visser: Which, uh, which really can help partners to, to kind of like secure and manage and, and drive governance around [00:17:17] Vince Menzione: agents. Still, still very new product by the way. [00:17:19] Erwin Visser: Yeah, it’s, uh, uh, [00:17:20] Vince Menzione: makes a big difference. [00:17:21] Erwin Visser: Awesome. [00:17:23] Vince Menzione: So, Mira, this is very, you know, it’s funny because initially when you would think about what you, what you’re doing with REO as being like big ISVs, selling big solutions through marketplaces, we, we now brought the channel in. [00:17:38] Vince Menzione: But now the ag agentic has really changed the things dramatically. Right, right. Let’s talk about that. How does it, how does it fit into your strategy as you go into the SMB market as well? Right. [00:17:48] Mira Ayad: Great question. And um, I’d like to tell a story in a little [00:17:52] Vince Menzione: bit. Please, please. [00:17:53] Mira Ayad: So, one of my greatest mentors, um, I was just having a chat with him a couple of days ago, and I’m just like, the market is changing faster than anyone can catch up. [00:18:02] Mira Ayad: And he told me, Mira. It’s not a chess game anymore, it’s a squash game. So it’s all about being agile, beating the ball with it, what it is, uh, and moving fast. And I think the strategy for marketplace and for the channel, Microsoft has always been a channel first company, so this is not a news for anyone. [00:18:20] Mira Ayad: Next year we’re focusing more into bringing the channel into marketplace. We are having, and I’m sure Sarah talked about it, uh, yesterday a little bit. We’re having very targeted approach to bring. Agents that customer actually wants into marketplace. So not just a, a traffic jam of agents. Uh, we’re being very precise about it from a channel perspective. [00:18:44] Mira Ayad: Alex? Agree. My colleague, she has a, an a a session later. She [00:18:48] Vince Menzione: does for having Alex on stage here. [00:18:50] Mira Ayad: Yes. And she’s gonna talk more about this channel strategy overall, but being customer zero. Is big for us and precision velocity is something else. Like how can we help the partners [00:19:00] Vince Menzione: precision velocity. I like That’s [00:19:02] Mira Ayad: right. [00:19:02] Mira Ayad: And she’s gonna talk a lot about it. I’m [00:19:04] Vince Menzione: not gonna say [00:19:04] Mira Ayad: her thunder. [00:19:05] Vince Menzione: I wanted to hear, I wanna hear more about it. So it’s, it’s compelling. [00:19:08] Mira Ayad: I know. Just, uh, a under session today, [00:19:11] Vince Menzione: well, I think I’m gonna be leading it, but come in this afternoon. Absolutely. [00:19:16] Mira Ayad: Absolutely. Yes. So moving from being a scale player to actually know what you’re really good at and have that precision. [00:19:23] Mira Ayad: To sell and get your customer where they want to be. I think it’s, it’s all how the strategy is aligned, yet shifting a little bit to reflect what’s happening in the industry. [00:19:33] Vince Menzione: And you’re no stranger to marketplace. Right. Um, we talked about your career journey, but you start off in Microsoft. We sort of knew each other back in the day, right? [00:19:43] Vince Menzione: Yes. Public sector. [00:19:44] Mira Ayad: Yes. [00:19:44] Vince Menzione: And then you left and you went across the river or across, across the lake. It was a lake or river? The lake. Lake. Yeah. You can tell I don’t live here, but [00:19:53] Mira Ayad: it’s a pond. [00:19:53] Vince Menzione: It’s a pond, yeah. [00:19:55] Mira Ayad: Um, so yes, I did start in, uh, Microsoft as a PDM for public sector focusing on education partners. [00:20:00] Vince Menzione: Yeah. [00:20:01] Mira Ayad: Um, [00:20:01] Vince Menzione: Anthony Salcito. [00:20:02] Mira Ayad: Anthony STO was the GM back then. And then I spent some time in an ISV. Um, it was a startup. I think I’ve, I had like my MBA on how to start businesses there. Which I boomerang to Microsoft to be part of the architecture team of a tiny program. I’m not sure if you guys are familiar with it. [00:20:23] Mira Ayad: It’s called CSP. So I launched CSP for the channel partners hosting telco’s, distribution. And then, um, our neighbors across the pond called the pond, me to come and help them build a channel program. Um, and then for, for three years, and then I spend the next seven. On AWS marketplace, uh, helping with, uh, channel adoption and strategy and enablement. [00:20:50] Vince Menzione: Nice. Very nice. Okay. And, um, the perspective on that as well. Bringing you, you talking about being precise. I think I heard what I, what I gleaned from your last set of comments is it can be so overwhelming to have all these agents, thousands and thousands of agents out there, how do, how do I decide, what do I go do and do the agents conflict with one another in terms of how they, how they react, and how they maybe start procuring on my behalf. [00:21:18] Mira Ayad: Um, I think it’s a very simple formula. Start where your customer is at, like meet the customer where they at is not just a generic cliche state statement. Customers are gonna lead our MSPs, our channel, our distribution, and our hyperscalers with their marketplaces or what needs to be built and how fast they want it. [00:21:37] Mira Ayad: And we should not lose sight of that. Um, just. Customer win is a win for everyone. That’s the, that’s, I think that’s the simple formula. And across all, uh, hyperscaler marketplaces, I think everyone is trying to win the heart and the mind of the customer first. [00:21:52] Nicole Dziedzic: Yes. [00:21:53] Mira Ayad: And then we, as the platforms and the channel community, we need to work very closely, um, with precision, with high level of, um, depth of knowledge to bring customers faster and make that customer zero. [00:22:10] Mira Ayad: From our perspective as an internal customer first and our first customer that we’re gonna build the case studies around to build that flywheel so we can accelerate that. So the first five offer becomes, the second, becomes the hundreds. Um, and this is how we bring it on. But always start from the customer. [00:22:26] Vince Menzione: I’m thinking about Jay’s slide yesterday, Jim McBain slide about the 28 moments [00:22:31] Mira Ayad: Yes. [00:22:32] Vince Menzione: And all the, all the partner types that are involved in that process. Right. The ISVs. Uh, CSPs, I mean actually lay out more partner types, ISPs, CSPs, distributor, uh, reseller, all all aligned in that customer journey and all. [00:22:49] Vince Menzione: And so just that coordination and that effort. I just wanna get everybody’s point of view on that maybe. [00:22:53] Erwin Visser: Yeah. [00:22:54] Vince Menzione: Or [00:22:54] Erwin Visser: you want start, Nicole? [00:22:55] Nicole Dziedzic: Yeah. I mean, I think it takes an army, right? And I think it’s about how does each. Each kind of persona simplify the process for the next person. And I think that’s probably the key piece of it. [00:23:06] Nicole Dziedzic: And I’ll, I’ll talk from a distribution lens, is that our goal is that we wanna make sure it’s simpler for our vendors, for our partners to be able to transact in the marketplaces. Um, and also be that conduit, right? To provide that feedback back to vendors around what’s working, what’s not working, so we can go faster, right? [00:23:23] Nicole Dziedzic: And so the partners can go faster, um, but also be super sound in how they bring it to market. [00:23:30] Vince Menzione: And I, and I think what I also got outta that conversation, I want to get your point of view on this, is because again, I go back to ISV thinking, direct selling model. [00:23:39] Mira Ayad: Yeah. [00:23:40] Vince Menzione: And oh, there’s this thing called the channel and oh, we have to go do this. [00:23:42] Vince Menzione: But I think what that illustrated, that slide illustrated to me yesterday. Was how important to have all the multiple touch points involved because the deal is happening before you were entering the room. Right. So how, how are you, how and again, why, why do ISVs? I think, I think the answer is right there. [00:24:00] Nicole Dziedzic: Yeah. I, it’s about how do we scale you and how do we simplify. For the partners. Um, I think the biggest challenge that young ISVs really run into is that they do forget about the channel. And the channel is massive. Um, and the channel gives you reach and it gives you scale by leveraging MSPs and better communities. [00:24:24] Nicole Dziedzic: Distribution comes into the fold because we are that scale for the partners themselves. We are that scale for the MSPs, right? And so there has to be a connection between the two to really enable the ISVs that are direct today, um, to scale to probably the levels that they wanna scale, and a trusted partnership where we can bring in. [00:24:46] Nicole Dziedzic: What works, what doesn’t work? Best practices. ’cause we have worked with a lot of vendors and we continue to work with a lot of vendors, um, on how to continue to scale their business. [00:24:55] Vince Menzione: What’s it, what do they get wrong? You mentioned the younger ISVs. Mm-hmm. The newer is more startup ISVs and the startup doesn’t take long. [00:25:02] Vince Menzione: You can get to a billion dollars. Yeah. Pretty quickly these days. What do they get wrong? And then how do you solve for that for them? [00:25:08] Nicole Dziedzic: I, I think what they get wrong at times, um, is building out a true partner program that makes sense for the MSPs, for traditional VARs, um, for sis to actually wanna participate, right? [00:25:24] Nicole Dziedzic: Because there’s a lot of competition out there, and you have to differentiate yourself. And part of that is making sure you’re not forgetting about what you’re. Partner program is gonna be to bring to market. I think that’s probably the biggest thing. The, the other piece is that, you know, there is a lot of solutions out there and so what’s your compelling event, compelling reason, right, for a partner to wanna bring you into their stock, into their end customers. [00:25:47] Nicole Dziedzic: And that is something that we, at times are missing as well, is, is what’s differentiating you from the person next to you. [00:25:55] Vince Menzione: Mira, anything to add to that? [00:25:57] Mira Ayad: Um, I think working with ISBs for the past, I don’t know how many years in my career, um, I always get asked the same question, how can I utilize marketplace? [00:26:06] Mira Ayad: How can I do the pricing? And I listed on marketplace, how come the deals are not falling from the sky? Yes, exactly. And um, my answer has always been. Listing a marketplace is the first step, not the last, right? What is your go-to-market strategy? How are you going to go to market? What’s the role of the channel that they want them to play? [00:26:28] Mira Ayad: Do you want them to become just a reseller and an extended Salesforce arm? Do you want them to take that to implementation and take your support? I think Microsoft kind of between all of the partner types that we have and the great distributors that we partner with, we kind of unlock that for guys because we can have that conversation and help them with their go-to market strategy. [00:26:49] Mira Ayad: But I think first is marketplace need to be in the beginning of the deals, not at the end. So they can always be like, okay, I’m going to be listed to the marketplace when they pitch that to the customer. Bring the marketplace philosophy and the channel into the deal making. Not on the 11th hour. Yeah. [00:27:06] Vince Menzione: Yeah. I liked what an ISV said earlier about actually unlocking their sales organization by putting incentives out there. Yes. To be marketplace first. Erwin, you, you’re the accelerant. Yeah. Go to markets. You’re the marketing guy in the, in this conversation. [00:27:21] Erwin Visser: Yeah. So I, I’m, I’m maybe, uh, I was thinking on the other side, it’s like, and there’s a clearly a role for the ISV. [00:27:26] Erwin Visser: Yeah. And opportunity through marketplace. I also think there’s an opportunity on the MSP side to really, uh, be proactive around, uh, the ISV solutions that you can deliver to your customers. And, and one of the things that, uh, I, I still see is that, uh, some of our partners are not using just the data that is available and that we also have, uh, as Microsoft and with Ingram give to our partners to really see what the opportunities are out there. [00:27:52] Erwin Visser: And, uh, a new, uh, platform that we released, uh, a few months ago. A SPX. Uh, I would kind of be curious to see, uh, hands up like, uh, of the MSPs in the room. Have you heard of a SPX? A few. Okay. So we still have a little bit more eventually to do here, but, uh, yeah. So we we’re, uh, bringing, uh, data sources to our partners, uh, that combine like usage data and marketing signals, other information that we have, licensing data that that really helps our partners also because. [00:28:24] Erwin Visser: To be, to understand where your customer is. Yeah. You first have to understand also the data of your customer and, and the signals that they are giving in the marketplace so you can help understand where the, the next opportunity is. And so we’re, uh, we have another great partnership with, uh, with Ingram around this data sources and in income enriches them and brings them to their resellers. [00:28:45] Erwin Visser: But I think that’s still, uh, uh, clearly if I saw the hands, an opportunity for us to, uh, to bring that more to the market. Yeah. [00:28:53] Vince Menzione: And let’s not forget the MSPs in this conversation, right? Because they are like at, at all, at all levels, whether it be first party, third party, cross marketplace. They are the instrumentation in front of the customer. [00:29:05] Vince Menzione: And I think there’s a great opportunity and know you talk about how you and enabling them. Um, maybe some last comments about how MSPs in this room could be more successful in the coming year, working with your organizations. Yeah. [00:29:18] Nicole Dziedzic: Yeah. I mean, I think for us it’s challenge us, um, bring forward things that you want and need, even if they seem outlandish from a distribution standpoint, right? [00:29:28] Nicole Dziedzic: We wanna continue to make sure we’re meeting you guys where you are with what you need and how you wanna be interacted with. Um, so I think that would probably be my biggest thing. I do. Before we, I just wanna go back to the as PX data real quick. I do wanna give a plug on the as PX data, because I do work with all of our vendors within Ingram and, and I will say the data. [00:29:46] Nicole Dziedzic: Availability that you guys have released has been above and beyond what we’ve seen from most of our vendors. We hear a lot of can’t share that it’s legal, can’t share that it’s legal. Um, this really enables us and the MSPs to, to see not just where their customer needs to go, but where they’ve been. [00:30:04] Nicole Dziedzic: Right. And so how do you really frame a conversation that’s really strategic by leveraging data and data that will intake and be made available for everybody that, um, purchases through distribution so that you can have that ready at your hand. So I just wanna reverse back to that ’cause it is a really great data set, um, and something we don’t see a lot of vendors actually released to the masses within the partner community within distribution to leverage. [00:30:29] Erwin Visser: Yeah. I, I love that quote, by the way, but it’s, thank you, Nicole. Uh, so the, but, uh, uh, your question is around how we are enabling MSPs, correct? Yes. Yeah. Right. So I had the, um, there, there’s a, there’s a few things here. Uh, I think that, am I, if I’m being honest, there’s still some points that we need to improve on our technology and our roadmap Yeah. [00:30:53] Erwin Visser: Of our technology. So this is clearly well understood within Microsoft and there’s areas that we are, uh, that we’re working on and, uh, we’re taking very serious, uh, at this moment. Good. Uh, to help you like, manage, uh, uh, our technology across, uh, uh, significant numbers of, uh, of, of tenants. Um, the, the second thing I would say is that clearly we talked about scaling. [00:31:16] Erwin Visser: We talked about enabling, uh, added technology to help you build out your managed services from, I would say from the, the, or the, the infrastructure to security to also agents. Now with some of the new technology that we, uh, that we have released. The, the third thing, and this is maybe more of an ask to the MSPs, is that, uh, when I talk to MSPs, when I see the research, uh, I believe that still at this stage, uh, you mo uh, the average Ms. [00:31:44] Erwin Visser: P has like 30 different products in the technology stack. That’s crazy. And, uh, and so I, I simplify. Simplify. Yes, I understand how you got here. Uh, it’s a lot of like, uh, best of breed, maybe selection through, through history. But I think, uh, my advice to MSPs is like, if, if, if you wanna create space for selling business value and for building out like an an AI accelerator for your customers, you need to find a also space to simplify your technology stack. [00:32:15] Erwin Visser: ’cause that’s what we believe. That’s not where the, the opportunity sits in the future. Uh, and that’s also not where I think the, uh, the, the margin sits for, for our partners in the future. So simplify your technology stack. We have ideas about that simplification clearly, but, uh, happy to talk to you about it. [00:32:33] Erwin Visser: But, uh, yeah, simplify and then create space for, uh, for really selling business value with, uh, with agenda ai. I think that’s a, a huge opportunity. [00:32:42] Vince Menzione: There any last comments before we start? [00:32:44] Mira Ayad: Um, a very short comment. So from an enablement perspective, we have a very intentional, proactive focus on enabling the MSP and FY 27 and the remaining of FY 26. [00:32:55] Mira Ayad: Um, yes, last year was the year of the channel. I think next year is going to be the year of, uh, marketplace Channel and MSPs. Um, but I do have an ask. We build marketplace. For you and with you, and you are the closest to the customer. So please be the voice of the customer. Bring us that feedback. Let us know how we can build a marketplace that meets your customer needs so it makes your life easier instead of having to spend time figuring out how to incorporate marketplace in your strategy. [00:33:24] Vince Menzione: I love that we had Jose Gomez. K. Uh, with us yesterday and he spent a lot of time with the partners to getting that feedback, so it was wonderful. [00:33:32] Mira Ayad: Another big guy. [00:33:32] Vince Menzione: Thank you so much. [00:33:34] Vince Menzione: Thanks for listening to The Ultimate Partner Podcast. If today’s [00:33:38] Vince Menzione: conversation resonated, share it with a partner leader in your network. [00:33:42] Vince Menzione: Subscribe where you listen, and head over to the ultimate partner.com. For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

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Dan Nathan interviews Phill Rosen, CEO/CTO and co-founder of Astraeus, an AI infrastructure company for wealth management. Rosen recounts his path from college dropout to fintech builder, including Orchard Platform and Even Financial (later MoneyLion Engine), explaining how API-embedded distribution and machine-learning signals improved lending decisioning while navigating regulatory explainability. He argues many “AI companies” mainly deploy or fine-tune others' models and that value often lies in data pipelines, governance, and deterministic software around AI. Rosen describes Astreus targeting independent RIAs and private-equity roll-ups (from ~$2B to ~$200B AUM) by unifying siloed legacy data, codifying compliance rules, and deploying “digital workers” with 90-day pilots to show operational ROI and enable scalable, auditable agentic workflows. They prefer model portability (often Gemini; testing Kimi 3) to manage cost and data sovereignty, and Rosen weighs whether LLMs commoditize into cloud-like infrastructure as tooling matures. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media The financial opinions expressed in Risk Reversal content are for information purposes only. The opinions expressed by the hosts and participants are not an attempt to influence specific trading behavior, investments, or strategies. Past performance does not necessarily predict future outcomes. No specific results or profits are assured when relying on Risk Reversal. Before making any investment or trade, evaluate its suitability for your circumstances and consider consulting your own financial or investment advisor. The financial products discussed in Risk Reversal carry a high level of risk and may not be appropriate for many investors. If you have uncertainties, it's advisable to seek professional advice. Remember that trading involves a risk to your capital, so only invest money that you can afford to lose. Derivatives are not suitable for all investors and involve the risk of losing more than the amount originally deposited and any profit you might have made. This communication is not a recommendation or offer to buy, sell or retain any specific investment or service.

September 2, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Scan.com raises $220M to expand its medical imaging network, connecting patients and providers through a single API in a $100B+ US market still run by phone and fax Atlas opens pre-orders for a $499 behind-the-ear EEG wearable tracking presence, stress, and energy burn using over 500,000 real-life brain recordings Dyson launches the $499 CameraJet toothbrush, using a built-in camera and AI to identify gaps in real time and fire precision mouthrinse More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe  Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider  Reach out → insider@fitt.co

Companies need their own AI intelligence layer, not just API access. Isaac Ferreira, VP of Growth Systems and AI at Shift Paradigm, breaks down why proprietary operating context matters more than model choice. He explains how enterprise AI accounts avoid training data leakage, why businesses should build fallback capability across multiple models, and when locally hosted open-weight models beat frontier models for high-risk processes.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

"You think you know what you're doing. Like I work at Shopify. I should be better at it." That's Atlee Clark, Shopify's VP of Partnerships, on running her own store, Pika Layers, for the past seven years. She's joined by Eytan Seidman, VP of Product for everything partners and developers touch. Together they just rewrote the deal for Shopify's entire partner ecosystem, and this conversation explains what that means for your store. We get into the new revenue share that pays partners on merchant GMV growth (Plus upgrades finally count), why Catalog and UCP put the world's products in a single API, and how Sidekick app extensions going GA changes what apps can do inside your admin. Plus the two areas both VPs say are wide open for anyone willing to build. Stick around for the complaint Eytan admits Shopify still hasn't fixed. SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT LINKS Shopify Partners: shopify.com/partners Shopify.dev: shopify.dev Pika Layers (Atlee's store): pikalayers.com Atlee Clark on X: x.com/AtleeClark PromoParty (Kurt's app): [URL] WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

BONUS: How Scrum Masters Can Use AI Without Becoming the Human API   AI is already changing the practical, everyday work of Scrum Masters and Agile Coaches. In this BONUS episode, Vasco talks with Fred Deichler about moving from curiosity to real AI-supported workflows: finding team signals faster, preparing better conversations, keeping documentation in sync, and staying focused on outcomes instead of just producing more output. From Automation to an AI Sparring Partner "I have this partner I can work with to help me ideate things."   Fred's journey into AI started before the current AI wave, with automation in Jira and the practical need to surface bottlenecks without manually watching every board. The turning point came when ChatGPT stopped feeling like a search box and started acting like a thinking partner. Faced with a team being pushed toward multiple sprint goals, Fred dumped the context into AI and asked for three to five options instead of one "right answer." That shift helped him move from a deterministic mindset into a problem-solving mindset, using AI to explore options, challenge his own assumptions, and prepare a better conversation with the team. The Monday Morning AI Context Builder "It instantly sets that context for me. It sets that tone for the whole week."   Fred describes his weekly workflow as a very practical use of AI: on Monday morning, he opens Cursor and works with his own AI harness, Atlas. Atlas is built from markdown files containing persona, skills, history, meeting transcripts, notes, and Jira data. When Fred says "good morning," the system pulls the most relevant signals forward: aging work items, backlog health, sprint goals, and where the next team conversation should focus. Instead of starting the week by hunting for data, Fred starts with questions he can bring into the first stand-up: what is stuck, what needs refinement, and what risk is already visible? Making Flow Metrics Visible Inside Jira "If you're on a page, what do you hope you could learn without asking?"   Beyond using AI as a thinking partner, Fred used AI to build a Chrome extension that surfaces useful Jira insights directly where the team already works. On the active sprint board, it shows work in progress, aging items, sprint goals, and sprint changes. In the backlog, it exposes backlog health and epic health. On the sprint report page, it adds cycle time per item so the retrospective can move from generic discussion to concrete learning. The point is not to shame the team with metrics. The point is to make the right conversation easier to start: what caused this item to take seven days, what blocked it, and what do we want to learn from that? AI as Extra Eyes and Ears for Team Conversations "It helps make sure that we don't lose sight of these things I can bring back to the team."   Fred also uses AI agents to review meeting transcripts and look for patterns that are easy to miss in the flow of daily work. The system can notice hesitation, unresolved topics, or a requirement problem that was mentioned once and never followed up. For retrospectives, Fred's Atlas setup can review sprint transcripts around day nine of the sprint and suggest themes for the next retro. It can even generate prompts for a visual retrospective board in Copilot or a Miro board from a prompt. This helps Fred avoid relying only on recency bias and creates a better starting point for the conversation the team actually needs. Keep the Human in the Loop, Especially for Outcomes "It's not about building a faster hammer. It's about identifying the outcome you're going for."   A major warning in the episode is that AI can make Scrum Masters faster at producing more of the same: more notes, more summaries, more documents, more reports. Fred argues that the useful question is not "can we automate this exact process?" but "what outcome are we trying to achieve?" In a Jira-to-Azure DevOps migration, for example, the goal was not to reproduce the current time-tracking process perfectly. The goal was to provide the information accounting needed. That outcome focus keeps the human accountable for direction, judgment, and value, while AI helps explore better ways to get there. The SPOT Framework for Finding AI Opportunities "If it meets three or four of those, this is a great opportunity for an automation to free me up to do that more human-centric work."   Fred uses a simple filter, the SPOT framework, to decide what AI should help with and what should remain human-led. A task is a good candidate when it is simple, predictable, observable, and tedious. Simple means it requires low human judgment and could be explained on an index card. Predictable means it happens repeatedly, either on a schedule or triggered by an event. Observable means the needed data is available to the agent and not locked away in someone's head or behind policy. Tedious means it consumes energy without adding much human value. When a task matches most of those criteria, Fred looks for ways AI can handle the toil while he stays focused on facilitation, coaching, and decision-making. A Small Experiment Scrum Masters Can Try Tomorrow "If a Scrum Master finds himself operating as, like, I'm moving data from point A to point B, that is a great opportunity to say, how might we do this?"   Fred's concrete advice is to start by noticing where you have become the "human API": moving data between tools, updating spreadsheets, copying information into reports, or keeping documents manually aligned with reality. Write down one tedious workflow and ask your approved work AI, "How might we automatically populate this, while keeping me in the loop?" Vasco adds a useful ideation tip: if the first five ideas are not good enough, ask for five more without repetition, then five more again. The goal is not to hand over accountability. The goal is to discover what might be possible and choose one safe, small experiment. Resources for Scrum Masters Exploring AI "It's all about building up your own idea of what's possible to start those how-might-we conversations."   For listeners who want to keep learning, Fred recommends The AI Daily Brief as a way to stay current with what is happening in AI, and Jack Roberts' YouTube channel for practical ideas around personal AI and agent-based workflows. Fred also points listeners to his own work at Triforce Agility, where he shares blog posts, resources, and updates about his talks. He will be speaking at the Kansas City Developers Conference in early September about AI and career progression, and at Scrum Day in Madison, Wisconsin in October about how AI impacts Scrum Master roles.   About Fred Deichler   Scrum Master, Agile Coach   You can link with Fred Deichler on LinkedIn and connect with Fred Deichler at Triforce Agility.