Podcasts about Apis

In this episode of the Broadband Bunch, host Pete Pizzutillo sits down with Ronan Kelly, Managing Director of AllPoints Fibre Networks in the UK. Ronan shares his 30-year journey through the broadband industry—from the early days of dial-up with U.S. Robotics to leading innovative fiber deployments across Europe. The conversation explores the consolidation of UK alt-nets, the creation of AllPoints Fibre's wholesale-only model, and the launch of their new Aquila platform, designed to provide a marketplace for ISPs and streamline integration through standards-based APIs. Ronan highlights the challenges of scaling fiber networks, managing technical debt, and why automation and vendor-backed solutions are critical for long-term sustainability. Looking ahead, Ronan offers insights on the role of AI in telecom operations, the importance of embracing change, and how UK market lessons could apply to the U.S. broadband landscape. His reflections on legacy, leadership, and building resilient infrastructure provide valuable takeaways for operators, technologists, and policymakers alike.

For episode 583 of the BlockHash Podcast, host Brandon Zemp is joined by Stefan Avram, Co-founder and CCO of WunderGraph, the world’s most widely adopted open-source GraphQL Federation solution. ⏳ Timestamps: (0:00) Introduction(0:55) Who is Stefan Avram?(2:59) Tinder for Founders(3:26) What is Wundergraph?(5:20) GraphQL(5:52) Use-cases(7:44) Typical Customer(10:33) Expansion plan for Wundergraph(11:56) Tips & Advice to Founders(16:02) Wundergraph Roadmap(20:49) Wundergraph website, socials & community

I think we're at the precipice of a pretty significant change in how we build software products. Obviously, the recent ascent of vibe coding and all the agentic coding tools that we find very useful and highly effective shows a difference in how we approach building products. But there's another change - not just in how we build, but in who these products are for.This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/building-for-the-age-of-ai-consumers/ The podcast episode: https://tbf.fm/episodes/410-building-for-the-age-of-ai-consumersCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Parag Agrawal is the co-founder and CEO of Parallel, a startup building search infrastructure for the web's second user: AIs. Before launching Parallel, Parag spent over a decade at Twitter, where he served as CTO and later CEO during a period of intense transformation, as well as public scrutiny. In this episode, Parag shares what he learned from his time at Twitter, why the web must evolve to serve AI at massive scale, how Parallel is tackling “deep research” challenges by prioritizing accuracy over speed, and the design choices that make their APIs uniquely agent-friendly. We also discuss: Why Parallel designs for AI as the primary customer Lessons from 11 years at Twitter and applying them to a startup Potential business models to keep the web open for AI Hiring philosophy: balancing high potential and experienced talent The evolving role of engineers in an AI-assisted world Why “agents” are finally becoming useful in production And much more… References: Bloomberg launch coverage: https://www.bloomberg.com/news/articles/2025-08-14/twitter-ex-ceo-parag-agrawal-is-moving-past-his-elon-musk-drama Clay: https://www.clay.com/ Index Ventures: https://www.indexventures.com/ Josh Kopelman: https://www.linkedin.com/in/jkopelman/ KLA: https://www.kla.com/ OpenAI: https://openai.com/ Parallel: https://parallel.ai/ Patrick Collison: https://www.linkedin.com/in/patrickcollison/ Stripe: https://stripe.com/ Where to find Parag: LinkedIn: https://www.linkedin.com/in/paragagr/ X/Twitter: https://x.com/paraga Where to find Todd: LinkedIn: https://www.linkedin.com/in/toddj0/ X/Twitter: https://x.com/tjack Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ X/Twitter: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: (1:26) Founding Parallel with an AI-first mission (3:23) From Twitter CTO/CEO to startup founder (6:20) What the AI era spells for companies (7:58) The CEO to founder pipeline (11:18) Reflections on Twitter's transformation (17:48) How Parallel was born (22:31) Early use cases for Parallel (31:42) How has Parallel's ICP changed? (34:37) AI's impact on competitor dynamics (36:06) When should founders launch? (37:43) Parag's fundraising framework (40:14) Building a high-impact engineering team (44:49) Counterproductive uses of AI (47:35) How will the software engineer role evolve? (49:10) How are Parallel's customers using AI? (53:27) Defining agents in 2025 (55:02) Parallel's long-term vision (1:03:43) Parag's growth as a founder

In today's episode, NMFTA's Keith Peterson and Farooq Huda of Worldwide Express join us to talk about how the Digital Standards Development Council (DSDC) is changing the game for freight tech! We explore how universal API standards are eliminating repetitive integration work across LTL, full truckload, 3PLs, and shippers, making “build once, use everywhere” a reality.  Our guests share real-world adoption from companies like Worldwide Express, the benefits of an ecosystem approach, and why this move toward industry-wide digitalization will improve compliance, reduce back-office overhead, and unlock massive long-term value! DSDC Website: https://dsdc.nmfta.org/home  

"You need to have someone that owns it." Connect With Our SponsorsOrthoFi From Start to Strength - https://orthofi.regfox.com/from-start-to-strength-october-2025GreyFinch - https://greyfinch.com/jillallen/SmileSuite - http://getsmilesuite.com/ Summary In this conversation, Jill and Jake discuss the evolution of GreyFinch, the impact of AI on orthodontics, and the importance of maximizing practice management software. They explore how automation can enhance efficiency in dental practices, the significance of open APIs for integration, and future trends in orthodontic software. Jake emphasizes the need for practices to adapt to changing technologies and patient expectations while providing advice on selecting the right software for individual needs. Connect With Our Guest Greyfinch - https://greyfinch.com/ Takeaways Jake has been in the dental and orthodontic space for almost 20 years.GreyFinch aims to change the practice management landscape.AI is disrupting traditional orthodontic practices by improving efficiency.Automation can help practices reduce staffing needs and improve workflows.Open APIs allow for better integration with third-party tools.Practices need to identify bottlenecks to improve efficiency.The future of orthodontics will heavily involve AI and automation.It's essential to have a champion in the office for practice management software.Practices should focus on what their patients want, not just what they want.Choosing the right practice management software is crucial for long-term success.Chapters 00:00 Introduction to Jake and GreyFinch02:51 The Impact of AI on Orthodontics05:58 Maximizing Practice Management Software08:53 Automation in Dental Practices12:05 Understanding and Implementing New Features15:01 Identifying Bottlenecks and Workflow Efficiency20:34 Automating Collections and Workflow Efficiency21:37 Understanding Open APIs and Integrations24:10 Future-Proofing Your Practice Management Software25:55 The Role of AI in Practice Management28:38 Adapting to Change in the Orthodontic Industry31:55 Key Considerations for Choosing Software35:32 Final Thoughts and Industry Trends Are you ready to start a practice of your own? Do you need a fresh set of eyes or some advice in your existing practice?Reach out to me- www.practiceresults.com.     If you like what we are doing here on Hey Docs! and want to hear more of this awesome content, give us a 5-star Rating on your preferred listening platform and subscribe to our show so you never miss an episode.    New episodes drop every Thursday!    Episode Credits:  Hosted by Jill AllenProduced by Jordann KillionAudio Engineering by Garrett Lucero

In this episode, Alicia Miller returns to share exciting insights about her new role as Head of Growth Strategy at Aduna Global.The discussion explores Aduna's mission to accelerate the telco network API market by reducing friction and commercializing APIs that are difficult for individual telcos to manage due to antitrust concerns and technical complexities. About Alicia Miller:Global strategic partnerships and business strategy development leader with 15 years experience across industries, including telco network APIs, ecosystem development, and deal negotiation focused on bringing new technologies to market, including 5G and Mobile Edge Compute. Working with some of the largest companies in the world to forge new partnership models and create first-to-market advantage.

Shay Levi (@shaylevi2, CEO @UnframeAI) & Larissa Schneider (COO @UnframeAI) discuss the complexities of building an enterprise-grade AI platform. Topics include what an AI platform is, the advantages of adoption, and the efficiencies gained.SHOW: 948SHOW TRANSCRIPT: The Cloudcast #948 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK:  http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Unframe websiteTopic 1 - Shay & Larissa, welcome to the show!  Give everyone a brief introduction and a little about your background. Topic 2 - Today, we're discussing AI Security and Enterprise Platforms. What are the problems or issues you see with AI development today?Topic 3 - Is this where an AI platform comes into play? I'm seeing more and more about this term and wondering what it truly means to be a platform. What is your definition of a platform, and what are the advantages?Topic 4 - Shay, considering your background in APIs and API security, how does that knowledge transfer into this space?Topic 5 - Larissa, with your background in operations, where do you see the inefficiencies in AI development and lifecycle management of the AI models and the datasets?Topic 6 - Let's talk about Unframe. Give everyone an overview. Is this a SaaS service? How and where does it fit into your typical AI development stack?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Black Hat 2025: Crogl's CEO Monzy Merza Explains How AI Can Help Eliminate Alert Fatigue in CybersecurityCrogl CEO Monzy Merza discusses how AI-driven security platforms automate alert investigation using enterprise knowledge graphs, enabling analysts to focus on threat hunting while maintaining data privacy.Security teams drowning in alerts finally have a lifeline that doesn't compromise their data sovereignty. At Black Hat USA 2025, Crogl CEO Monzy Merza revealed how his company is tackling one of cybersecurity's most persistent challenges: the overwhelming volume of security alerts that leaves analysts either ignoring potential threats or burning out from investigation fatigue.The problem runs deeper than most organizations realize. Merza observed analysts routinely closing hundreds of alerts with a single click, not from laziness or malice, but from sheer necessity. "When you look at the history of breaches, the signal of the breach was there. And somebody ignored it," he explained during his ITSPmagazine interview, highlighting a critical gap between alert generation and meaningful investigation.Traditional approaches have failed because they expect human analysts to become "unicorns" - experts capable of mastering multiple data platforms simultaneously while remembering complex query languages and schemas. This unrealistic expectation has created what Merza calls the "human unicorn challenge," where organizations struggle to find personnel who can effectively navigate their increasingly complex security infrastructure.Crogl's solution fundamentally reimagines the relationship between human intuition and machine automation. Rather than forcing analysts to adapt to multiple tools, the platform creates a semantic knowledge graph that maps data relationships across an organization's entire security ecosystem. When alerts arrive, the system automatically conducts investigations using established kill chain methodologies, freeing analysts to focus on higher-value activities like threat hunting and strategic security initiatives.The privacy-first architecture addresses growing concerns about data sovereignty. Operating as a completely self-contained system with no internet dependencies, Crogl can run air-gapped in the most sensitive environments, including defense intelligence communities. The platform connects to existing tools through APIs without requiring data movement, duplication, or transformation.Real-world results demonstrate the platform's versatility. One customer discovered their analysts were using Crogl for fraud detection - an application never intended by the original design. The system's ability to process natural language descriptions and convert them into executable security processes has reduced response times from weeks to minutes for complex threat hunting operations.For security leaders evaluating AI integration, Merza advocates an experimental approach. Rather than attempting comprehensive transformation, he suggests starting with focused pilot programs that address specific pain points. This measured strategy allows organizations to validate AI's value while maintaining operational stability.The broader implications extend beyond security operations. By removing technical barriers and emphasizing domain expertise over tool competency, platforms like Crogl enable security teams to become strategic business enablers rather than reactive alert processors. Organizations gain the flexibility to maintain their preferred data architectures while ensuring comprehensive security coverage across distributed environments.As cyber threats continue evolving, the industry's response must prioritize both technological capability and human potential. Solutions that enhance analyst intuition while automating routine tasks represent a sustainable path forward for security operations at scale. Watch the full interview: https://youtu.be/0GqPtPXD2ik Learn more about CROGL: https://itspm.ag/crogl-103909Note: This story contains promotional content. Learn more.Guest: Monzy Merza, Founder and CEO of CROGL | On Linkedin: https://www.linkedin.com/in/monzymerza/ResourcesLearn more and catch more stories from CROGL: https://www.itspmagazine.com/directory/croglAre you interested in telling your story?https://www.itspmagazine.com/telling-your-story

Honeybees are a critical resource for American agriculture.  The western honeybee, Apis mellifera, pollinates more than 130 types of nuts, fruits, and vegetables, adding up to $15 billion worth of crops every year.  Honeybee health has been harmed by a combination of factors:  weather extremes, habitat loss, pesticides, and disease.  One of the biggest problems […]

Listen now: Spotify, Apple and YouTubeAs AI agents become the new interface for work, a major question looms: how will your product connect into this ecosystem?In this episode of Supra Insider, Marc and Ben sat down with Reid Robinson, product manager leading AI at Zapier. They talked about the rise of Model Context Protocols (MCPs) — the new standard for connecting AI agents to tools and data sources.Reid explains the fundamentals of MCP clients vs. servers, why the standard is gaining traction across players like Anthropic, OpenAI, and Atlassian, and how product leaders can decide where to start. He also shares concrete examples, from personal productivity hacks to enterprise integrations, showing what's possible when you combine MCP with Zapier's 8,000+ app ecosystem.Whether you're building your first AI copilot, figuring out how to expose your product's data to agents, or just want to understand where this ecosystem is headed, this episode will give you a front-row seat to the future of AI interoperability.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

What are the advantages of using Polars for your Python data projects? When should you use the lazy or eager APIs, and what are the benefits of each? This week on the show, we speak with Jeroen Janssens and Thijs Nieuwdorp about their new book, _Python Polars: The Definitive Guide_.

In this episode of The Mortar & Pestle: A PCCA Podcast, host Mike de Lisio is joined by PCCA's VP of R&D, Daniel Banov, and returning guest Richie Ray, owner of Richie Specialty Pharmacy, to explore the innovation and impact of SubMagna—a proprietary sublingual base developed by PCCA. They discuss the technical challenges and scientific breakthroughs involved in formulating SubMagna to effectively deliver high molecular weight peptides like semaglutide via the sublingual route. Daniel details the base's development process, including surfactant balancing, solubility enhancement, and permeability optimization, while Richie shares clinical insights, patient responses, and the broader market implications. Together, they highlight SubMagna's potential as a game-changing delivery system for peptides and other challenging APIs, especially in an era of rising demand for non-injectable therapies.

Curious if AI will automate your contract testing—or wreck it? Add AI to Your DevOps Now: https://testguild.me/smartbear  In this episode of the DevOps Toolchain Podcast, I sit down with Matt Fellows, co-founder of Pacflow and core maintainer of the PACT framework (now under SmartBear). We dive into the evolution of contract testing, how agentic AI tools like Copilot and Cursor are shaping testing workflows, and what the next 3–5 years might look like for API validation. We also get real about: Why test quality matters more in an AI-driven pipeline How autonomous testing may reshape developer tooling Whether AI-generated tests are improving code or just spreading bugs faster Whether you're leading a QA team, building APIs, or navigating the DevOps–AI intersection, this episode has hard-earned insights from someone shaping the tools used by teams around the world.  

Howard is back with another mind-bending episode of Trends With Friends alongside Michael Parekh and special guest Jeff Park, Wall Street alum turned Bitwise crypto Jedi. From the radical rethinking of portfolio construction to the institutionalization of Bitcoin, Jeff unpacks how markets are being rewired in real time. The trio dives deep into the death of the 60/40 portfolio, the rise of Bitcoin treasury companies, the myth of the risk-free rate, and why every investor needs to grapple with global carry dynamics. Plus, they debate Elon's Tesla troubles, BYD's China dominance, why CME is booming, and how prediction markets and vibe coding are reshaping the next-gen financial playbook. If you care about capital markets, crypto, and the future of speculation as entertainment, don't miss this one.Chapters00:00 Meet Jeff Park: From Wall Street to Crypto03:00 Radical Portfolio Theory Explained07:20 Why 60/40 Is Dead and the Global Carry Trade Lives10:45 The Degenerate Economy, Bitcoin Treasury Plays, and the New Risk Paradigm16:00 Institutionalization of Bitcoin, ETFs, and Self-Custody22:00 How Financial Engineering Could Break Bitcoin26:00 Prediction Markets, AI, and Speculation as Income31:00 BYD vs Tesla, Global Retail Flows, and Chart Breakdown37:00 Alpaca, APIs, and Building Brokerages for the World44:00 Vibe Coding, LLMs, and the Coming API ExplosionJoin Our Community! https://stocktwits.com/Sign up for our daily FREE newsletter to keep in touch with the market: https://thedailyrip.stocktwits.com/Disclaimer:All opinions expressed on this show are solely the opinions of the hosts' and guests' and do not reflect the opinions of Stocktwits, Inc. or its affiliates. The hosts are not SEC or FINRA registered advisors or professionals. The content of this show is for educational and entertainment purposes only. Please consult with your financial advisor before making any investment decision. Read the full terms & conditions here: https://stocktwits.com/about/legal/terms/

AWS's Mark Relph draws fascinating parallels between today's AI revolution and the 1900s agricultural mechanization that delivered 2,000% productivity gains, while exploring how agentic AI will fundamentally reshape every aspect of software business models.Topics Include:Mark Relph directs AWS's data and AI partner go-to-market strategy teamHis role focuses on making ISV partners a force multiplier for customer successPreviously ran go-to-market for Amazon Bedrock, AWS's fastest growing service everCurrent AI adoption pace exceeds even the early cloud computing boom yearsHistorical parallel: 1900s agricultural mechanization delivered 2,000% productivity gains and 95% resource reductionFirst commercial self-propelled farming equipment revolutionized entire economies and never looked back500 machines formed the "Harvest Brigade" during WWII, harvesting from Texas to CanadaMark has spoken to 600+ AWS customers about GenAI over two yearsOrganizations range from AI pioneers to those still "fending off pirates" internallyGenAI has become a phenomenal assistant within organizations for content and automationAWS's AI stack has three layers: infrastructure, Bedrock, and applicationsBottom layer provides complete control over training, inference, and custom applicationsMiddle layer Bedrock serves as the "operating system" for generative AI applicationsTop layer offers ready-to-use AI through Q assistants and productivity toolsAI systems are rapidly becoming more complex with multiple model chainsMany current "agents" are just really, really long prompts (Mark's hot take)Task-specific models are emerging as one size won't fit all use casesEvolution moves from human-driven AI to agent-assisted to fully autonomous agentsAgent readiness requires APIs that allow software to interact autonomouslyTraditional UIs become unnecessary when agents interface directly with systemsCore competencies shift when AI handles the actual "doing" of tasksSales and marketing must adapt to agents delivering outcomes autonomouslyGo-to-market strategies need complete rethinking for an agentic worldThe agentic age is upon us and AWS partners should shape the futureParticipants:Mark Relph – Director – Data & AI Partner Go-To-Market, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Welcome back to Not Fintech Investment Advice, where Simon Taylor and I riff about fintech companies we're absolutely not giving investment advice on (though this one may test our willpower). We kick things off with Alix, which tackles one of the most bureaucratically brutal processes most people will ever face: settling a loved one's estate. It's admin + grief = chaos. Alix offers a $249 flat-fee concierge service that uses AI (plus humans) to cancel subscriptions, close accounts, and chase down deeds. It's DTC in a space no one wants to think about until they have to (think: Chime-level brand softness meets probate-level emotional complexity). Next up is Narrative, an AI-for-compliance startup that's not trying to do everything (just the very specific, painful thing of parsing and resolving consumer complaints). What stood out? It's not just trained on your written policies. It learns from how your best people make decisions. In a post-CFPB, state-by-state enforcement era, that nuance might be the difference between surviving a compliance audit … or hiring 300 more people to do what one model can. Then there's Ogment AI, which wants to be Shopify for agentic commerce. It builds MCP servers (think: APIs for LLMs) that let merchants make their products shoppable in ChatGPT, Claude, and co. But the big question isn't tech; it's trust. Can LLMs represent your brand voice in a way that doesn't reduce you to “cheap and ships fast”? TBD, but Ogment is skating where the puck might go. Finally, there's SOLO, which is kind of like a new school credit bureau. One that's trying to standardize, store, and reuse the messy contextual data that lives outside traditional credit files. Plus, it flips the economics: lenders get paid when others reuse their verified data. It's a trust layer disguised as underwriting tech, and its success may hinge more on old-school, squishy human partnerships than the tech. Plus, manifestations: We want the Timothée Chalamet of fintech; the operators who give a damn about striving to be the best at their craft. Often, the most profitable companies started that way and the monies followed as a byproduct of obsession with doing it right. Now that's worth spotlighting. Sign up for Alex's Fintech Takes newsletter for the latest insightful analysis on fintech trends, along with a heaping pile of pop culture references and copious footnotes. Every Monday and Thursday: https://workweek.com/brand/fintech-takes/ And for more exclusive insider content, don't forget to check out my YouTube page. Follow Simon: LinkedIn: https://www.linkedin.com/in/sytaylor/ Substack: https://sytaylor.substack.com   Follow Alex:  YouTube: https://www.youtube.com/channel/UCJgfH47QEwbQmkQlz1V9rQA/videos LinkedIn: https://www.linkedin.com/in/alexhjohnson Twitter: https://www.twitter.com/AlexH_Johnson Companies featured: https://www.meetalix.com/ https://thenarrative.dev/ https://www.ogment.ai/ https://solo.one/

The rise of AI agents is more than a tooling upgrade - it's a fundamental rewiring of the entire developer experience, with your APIs at the very center. We're joined by Matt DeBergalis, co-founder and then-CTO-now-CEO (congrats Matt!) of Apollo GraphQL, to explore this massive transformation. He introduces the emerging concept of "agent experience," explaining why systems built for human developers are not ready for the unprecedented scale of AI calling APIs.Matt argues that as the old rules of software development get re-evaluated, engineering leaders must rethink their entire stack. He presents a powerful analogy: a structured data layer like a graph is the perfect "left brain" for the "right brain" creativity of LLMs. This provides the semantic precision and guardrails needed for AI to act reliably, enabling a future where user experiences are personalized "to 11" and APIs become the core business asset. This conversation is a crucial guide for leaders on how to prepare by prioritizing higher-level system design, and why clear communication and architecture are becoming far more critical than handwriting code.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Explore Apollo GraphQL's graph infrastructure and MCP tooling: ApolloDevConnect with Matt on LinkedInConnect with Andrew Boyagi on LinkedInReferenced in today's show:Anthropic caps Claude Code usageOpenAI introduces study modeReady or not, age verification is rolling out across the internetAtlassian research: AI adoption is rising, but friction persistsSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

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Tony chats with Charles Merritt, Co-Founder and CEO at Buddy, the insurance gateway for people who build software. They help product teams and developers that are being tasked with integrating insurance APIs and help accelerate distribution of digital insurance products.Charles Merritt: https://www.linkedin.com/in/charlesmerritt/Charles first appearance on Profiles in Risk Ep. 298: https://youtu.be/IWI1zxTT6nM?si=yzwTpPQlDLtDFeKpBuddy: https://www.buddy.insure/teamVideo Version: https://youtu.be/jGAp09-Vhyw

Host Dr. Jay Anders welcomes Charles Tuchinda, MD, EVP & COO Hearst Health. They discuss the evolution of FDB, drug databases and e-prescribing, particularly in the world of APIs, as well as the importance of data quality, standardization and human review with respect to AI's role in healthcare. This is a must-listen for TMWIH fans and health tech listeners. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

In this episode of Affiliate BI, John Wright sits down with Joe Hatch, Head of Product at StatsDrone, to pull back the curtain on the complexities of affiliate marketing infrastructure, automation, and data reliability. From building in-house stats tools to integrating dynamic variables, Joe gives a deeply informed take on what it really takes to run a successful affiliate operation at scale. They kick off by discussing the illusion that building your own stats platform is easy. Joe details the real challenges — from managing over 1,900 affiliate programs across 90+ software types to maintaining reliable data through inconsistent APIs, scraping, and authentication hurdles. He challenges the belief that AI agents alone can solve these problems, pointing out the edge cases and standardization issues that AI still struggles with. The episode explores practical tools and innovations Joe has been building, including WordPress plugins for Pretty Links and Thirsty Affiliates that simplify dynamic variable tracking. Joe explains how proper click ID management enables deeper analytics and real attribution, turning affiliate sites into powerful CRMs — capable of identifying individual users, tracking their behaviour post-click, and even retaining or reactivating them with targeted offers. The conversation also dives into hot-button issues like shaving and data transparency. Joe explains the importance of change detection and communication between affiliates and operators, while emphasizing that not all data changes are nefarious. For tech-savvy affiliates, Joe lays out integration possibilities using tools like Airtable, Looker Studio, Tableau, and the versatile n8n automation platform. They wrap with a discussion on the future of affiliate marketing as it converges with business intelligence — plus a fun mention of Joe's satirical project, the iGaming Bullshit Generator.

In this episode of the AlchemistX Innovators Inside Podcast, Ian Bergman sits down with Roey Eliyahu and Michael Nicosia, co-founders of Salt Security—the company that pioneered the API security category. Together, they break down the early decisions that helped them go from idea to industry-defining solution.Roey shares how he went from coding at nine in Israel's cybersecurity units to buying a one-way ticket to Silicon Valley with a bold pitch and a few thousand dollars. Michael recounts how their first four-hour meeting turned into a lasting partnership. What followed was a masterclass in customer discovery, iterative product development, and relentless market education.Key takeaways include:How to pitch a complex idea with clarity and impactWhy discovering your APIs is just the beginning of managing riskHow to qualify early adopters and validate product-market fitThe mindset shift required to sell innovation into large enterprisesThe critical role of posture governance in modern cybersecurityHow Salt Security aligned internal incentives with real customer outcomesFrom crawling to running in the API security space, Roey and Michael offer hard-won lessons in navigating ambiguity, building trust with enterprise buyers, and scaling a product that protects some of the world's biggest companies.If you're building a startup or buying enterprise tech, this conversation is packed with strategy, insight, and inspiration.For more episodes and resources, visit https://www.alchemistaccelerator.com/podcasts.

In this conversation, Albert Buu, founder and CEO of Neutron, discusses the evolution of Bitcoin and financial services in Vietnam. He highlights the changing regulatory landscape, the increasing acceptance of Bitcoin and stablecoins, and the innovative offerings of Neutron, including lending products and APIs for businesses. The discussion also touches on the challenges of KYC regulations and the future potential of Bitcoin in Vietnam's economy.Takeaways

Topics covered in this episode: rumdl - A Markdown Linter written in Rust * Coverage 7.10.0: patch* * aioboto3* * You might not need a Python class* Extras Joke Watch on YouTube About the show Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted 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. Michael #1: rumdl - A Markdown Linter written in Rust via Owen Lamont Supports toml file config settings Install via uv tool install rumdl. ⚡️ Built for speed with Rust - significantly faster than alternatives

Frank brings apple intelligence APIs to C#! We discuss! https://github.com/praeclarum/CrossIntelligence/ Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us (https://itunes.apple.com/us/podcast/merge-conflict/id1133064277?mt=2&ls=1) ⭐⭐ Machine transcription available on http://mergeconflict.fm

How is your summer so far? I hope you're listening to this episode lying somewhere in a shadow on a beach, and with a breeze keeping you relaxed. I also hope that you are in a company of people you love to hang out with - be it your family or friends. Why? It's because we all belong to a community, right? Yes - this is the moment when I'm tying in my intro with this week's episode's topic

There's a new utility library in town called es-toolkit, and it's gunning for Lodash. 2-3x faster, 97% smaller, full TypeScript support, and using modern JavaScript APIs, es-toolkit's just added a “Lodash compatibility layer” to ensure an identical API and 100% Lodash compatibility.oRPC is the newest wrinkle in the Remote Procedural Call (RPC) world, and it promotes easy to build APIs that are end-to-end type-safe and adhere to OpenAPI standards. Stack Overflow's 15th developer survey results are in, and the learnings are... interesting. Some of the takeaways are expected (React's still very popular, lots of devs have at least tried AI tools), but some seem willfully wrong (SO claims it's a new resource for devs that need to solve AI-related issues, but 43% of respondents said they rarely or never visit the site anymore). Either way, SO's use has declined dramatically over the last few years due to the rise of AI, and we'll see how much longer it can hang on as a vital part of the developer ecosystem.Timestamps:0:57 - es-toolkit update7:46 - oRPC17:13 - Stack Overflow Developer Survey31:43 - Bolt hackathon winners34:11 - Microsoft Edge Copilot Mode38:46 - State of HTML survey39:30 - What's making us happyLinks:Paige - es-toolkit is coming for LodashJack - oRPCTJ - Stack Overflow 2025 survey resultsBolt hackathon winnersMicrosoft Edge Copilot ModeState of HTML surveyPaige - Monopoly Deal card gameJack - Gridfinity 3D printed grid storage systemTJ - NY Times Games AppThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Send us a textLas batallas legales por la interoperabilidad están definiendo silenciosamente el futuro de la inteligencia artificial. Mientras desarrolladores y empresas se concentran en crear sistemas cada vez más potentes, el verdadero poder radica en quién controla los estándares, protocolos y ecosistemas donde estos sistemas operan.Nuestro recorrido comienza con casos emblemáticos como IBM frente a la Comisión Europea, donde se estableció que cuando una tecnología se vuelve infraestructura crítica, sus propietarios adquieren responsabilidades especiales. El tribunal europeo en el caso SAS vs World Programming revolucionó nuestra comprensión de los límites del copyright al determinar que funcionalidades y lenguajes de programación no están protegidos, abriendo la puerta a la ingeniería inversa para compatibilidad.Las guerras de patentes esenciales para estándares también han moldeado el panorama de interoperabilidad. Desde Microsoft contra Motorola hasta la batalla entre FTC y Qualcomm, estas disputas han definido cuándo y cómo los titulares de patentes incorporadas en estándares deben licenciarlas bajo términos justos, razonables y no discriminatorios (FRAND). El caso Google vs Oracle sobre APIs estableció un precedente crucial para la reimplementación de interfaces en nuevos contextos, vital para el desarrollo de ecosistemas de IA compatibles.Más allá de los tribunales, marcos internacionales como la Recomendación de la UNESCO sobre ética en IA, el estándar ISO IEC 42001 y la Declaración de la Década Digital europea están creando una infraestructura global de gobernanza que prioriza la interoperabilidad como requisito fundamental. Estas iniciativas reconocen que la IA del futuro no solo debe ser potente, sino también compatible, transparente y capaz de funcionar a través de fronteras y plataformas.Si estás desarrollando sistemas de IA o invirtiendo en ellos, comprender estas dinámicas legales no es opcional—es estratégico. La verdadera innovación no está solo en crear la IA más avanzada, sino en construir sistemas que puedan colaborar, cumplir con estándares globales y escalar responsablemente. ¿Tu sistema de IA está preparado para este nuevo paradigma de interoperabilidad jurídica y técnica?Support the show

In today's episode of Tech Talks Daily, I sat down with Andy Bell, Head of Data Product Management at Precisely, to explore a challenge that many organizations continue to underestimate: the role of data integrity in AI strategies. With only 12 percent of businesses expressing confidence in the quality of their AI data, it's clear that the rush to implement AI is often outpacing the readiness of the data that supports it. Andy and I unpack what happens when enterprises leap into generative or agentic AI without addressing foundational data issues. From hallucinations to bias to unreliable outputs, the risks are significant. As we discussed, these risks don't just impact models — they erode trust with customers and complicate accountability, especially in regulated industries where traceability is non-negotiable. We then explored the power of third-party data enrichment and how it can offer much-needed context that internal datasets often lack. Andy shared real-world examples, including how a major delivery company saved 65 million dollars by optimizing address accuracy and how San Bernardino County used Precisely's wildfire risk models to improve emergency planning. These aren't abstract use cases — they show measurable business value. Andy also introduced the Precisely Data Link program, a solution designed to make it easier to connect, manage, and query multiple third-party datasets. With persistent IDs and flexible delivery methods through APIs, managed services, and platforms like Snowflake and Databricks, Precisely is helping organizations speed up time to value while reducing integration headaches. Looking ahead, Andy shared how Precisely is building AI capabilities that allow users to query third-party data using natural language. This shift aims to make complex data interactions more intuitive and accessible to business users who may not be data engineers. If data is the fuel for AI, then the quality and context of that data will define the road ahead. Is your organization doing enough to ensure its data can be trusted by the AI it deploys?

I am officially self-promoting myself to a C# Career Architect role at Productive C#

Giants were found preserved for thousands of years in “stasis chambers.” Visit https://themetaphysical.tv to support our work! Rumors of ancient “stasis beings” kept alive for centuries in a perpetual sleep have circulated for years. Like something out of science fiction, these sarcophagi supposedly preserve whoever's inside it—until it's time to wake up. There's even footage of an alleged giant-sized king with red hair, a red beard, and golden crown inside one of these boxes. But how do we know if it's real? Has such technology ever been developed in the ancient past? And if it has, what does that mean for us today? Rob and John will talk about the biggest theories and the remote viewing data that John's team gathered about this stasis chamber and more. Then decide what you think. Join investigative researcher Rob Counts and John Vivanco for a Metaphysical show that's out of this world. In this episode: giants, Anunnaki giant kings, Nephilim fallen angels, paranormal creature encounters, secret military missions to capture giants, battles with giants, insight from a Navy Seal, biblical giants and the Nephilim, vibrations and frequencies, shifting densities, ancient tech before the last Ice Age, escaping cataclysms, the tombs at Saqqara, Apis bull tombs, Anunnaki seed beings, ancient advanced technology, ancient civilizations, before Noah's flood, government cover-ups, remote viewing data, psychic abilities, telepathy and mind reading, interplanetary travel, hibernation techniques, psychological operations, hidden agendas, “the good old days” before technology was so essential, black market antiques, the pyramids, supernatural phenomena, ancient astronauts, ancient aliens, Gilgamesh and other giants, real Gilgamesh found

Jesse Burrell is the CEO and co-founder of BatchService, now known as BatchData, a real-time data and API platform designed for prop-tech startups and enterprises requiring massive and current housing data. Jesse was a real estate investor who needed better data to target his marketing efforts. BatchService was launched in 2018 with data brokering and subsequently built additional tools and apps.  BatchService grew rapidly to $35 million in revenue by 2022, but regulation changes and economic shifts contracted their core business, forcing them to make drastic cutbacks and pivots. They launched an enterprise data service with APIs for larger companies in 2021, which is now known as BatchData.  In July 2025, BatchService sold its “B2C” software business, comprising two successful products — BatchLeads and BatchDialer — to PropStream for an undisclosed cash amount. Jesse and his co-founders retained the B2B BatchData enterprise data business, now with 30 employees. Quote from Jesse Burrell, cofounder and CEO of BatchService “I had a couple years where I was pinching myself with the amount of money I was taking home every month. It was pretty wild how fast we rose in the first years. So when things changed for us, the fall really hurt, especially when we felt invincible and every idea worked brilliantly for three years.  “When things changed, we stayed pretty patient. We stayed pretty calm, but there was a lot of nights, weeks and months. I went home feeling like a failure and I don't think I was failing. I just think it was the conditions that we got put in. But it was really hard on me mentally. It was very, very tough to get punched so hard in the mouth with like a multitude of things in a short period of time.  “You're not as good as you think you are when it's going good and when it's going bad. It's not typically as bad as you think you are. A lot of it has to do with conditions and things that happen that are out of your control. You're fighting that because you're an entrepreneur and you'll figure it out if you are just persistent and don't give up.” Links Jesse Burrell on LinkedIn BatchService on LinkedIn Batchdata website Stewart Title website The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com.

Clemens Schotte is Senior Program Manager at Azure Maps. It is pronounced "Claymens SuHotte". Microsoft has a few geospatial offerings: Microsoft Bing Maps is the most well known amongst the public. It is a web-based mapping service offering street maps, aerial imagery, and route planning for public and consumer-facing applications. Microsoft Azure Maps is a cloud-based geospatial platform designed for developers to integrate real-time mapping, routing, and spatial analytics into enterprise and IoT applications. Code samples. Microsoft Planetary Computer Pro was released 2 months ago. It provides global-scale environmental datasets and analytical tools, tailored for scientific research and sustainability use cases, with deep integration into cloud-native workflows. It's nice to see a big tech monopolist has devoted some attention to our industry and is keeping up with the cloud native geospatial trend. Speaking of trends, we have a nice continuation here of the episode with Nelson Roque that kicked off the name change to Geospatial FM. This is because of a recent blog post about model context protocol (MCP) by Clemens. Why has a brain researcher's comments about what cognition is made me excited about MCP servers? They enable tool use and extraction of up to date data from APIs. This enables the AI to operate on data beyond what it was trained on. As stated in the recording, this is sounding suspiciously like multimodal real time data feeds. This is an aspect of organic organism cognition as described by Nelson. Something else that got my attention here is that Clemens mentioned introducing both short and long term memory, check the diagram here.As such, we have a nice demonstration in front of us about the kind of progress a Big Tech company is making at the cutting edge of our species effort to duplicate our reasoning capacity. Thanks Clemens!

Microsoft just released the 40 jobs most likely to be eaten alive by AI.Is your job on the list? And we noticed some HUGE trends in this recently released report that no one's talking about. You don't want to miss this convo.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Microsoft's AI Job Displacement Report Analysis40 Jobs Most Susceptible to AI ReplacementMicrosoft's 200,000 Conversation Study MethodologyAI Applicability Score and O*NET Task MappingTop AI Disruption Archetypes: Four Job CategoriesKey Trends in AI Impact on EmploymentHigher Education and Knowledge Work VulnerabilitiesActionable Advice for AI Job SecurityTimestamps:00:00 "Everyday AI: Your Business Guide"03:52 Surviving AI Job Threats09:35 AI's Workforce Impact Study11:35 AI Threat to Translation Jobs15:06 Job Archetypes and AI Disruption20:09 "Top 40 Jobs AI May Replace"22:47 AI Disruption: Pivoting from Writing27:11 Training AI with Our Feedback29:19 AI's Impact on Entry-Level Learning32:36 "AI Over Costs: Efficiency Wins"37:45 "Prompt Engineering: Everyone's Role"39:55 "Meet Clients in Person"42:33 "Embrace AI: Future-Proof Your Career"Keywords:Microsoft AI report, AI job disruption, jobs replaced by AI, artificial intelligence impact on employment, AI applicability score, job displacement, AI and knowledge workers, Bing Copilot, workplace automation, 200,000 AI conversations, human APIs, information synthesizers, frontline communicators, knowledge curators, process coordinators, O*NET job database, large language models, AI task overlap, interpreters and translators, higher education job risk, automation in administrative support, sales representatives automation, technical writers AI, proofreaders automation, customer service automation, machine learning in business, agentic AI systems, domain expertise with AI, AI-driven workplace change, prompt engineering, AI literacy, digital job transformation, physical jobs AI resistance, embodied AI, agentic feedback loop, enterprise AI adoption, human in the loop, future of work, new workforce skills, cheap AI vs expensive humans, automating entry-level tasks, internal company insights, leadership crisis due to AI, synthetic information, generative AI, AI-powered writing, AI in journalism, automation trends 2024, adaptation to AI workforceSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of the FutureCraft GTM Podcast, hosts Ken Roden and Erin Mills reunite with returning favorite Liza Adams to discuss the current state of AI adoption in marketing teams. Liza shares insights on why organizations are still struggling with the same human change management challenges from a year ago, despite significant advances in AI technology. The conversation covers practical frameworks for AI implementation, the power of digital twins, and Liza's approach to building hybrid human-AI marketing teams. The episode features Liza's live demonstration in our new Gladiator segment, where she transforms a dense marketing report into an interactive Jeopardy game using Claude Artifacts. Unpacking AI's Human Challenge Liza returns with a reality check: while AI tools have dramatically improved, the fundamental challenge remains human adoption and change management. She reveals how one marketing team successfully built a 45-person organization with 25 humans and 20 AI teammates, starting with simple custom GPTs and evolving into sophisticated cross-functional workflows. The Digital Twin Strategy: Liza demonstrates how creating AI versions of yourself and key executives can improve preparation, challenge thinking, and overcome unconscious bias while providing a safe learning environment for teams. The 80% Rule for Practical Implementation: Why "good enough" AI outputs that achieve 80-85% accuracy can transform productivity when combined with human oversight, as demonstrated by real-world examples like translation and localization workflows. Prompt Strategy Over Prompt Engineering: Liza explains why following prompt frameworks isn't enough—you need strategic thinking about what questions to ask and how to challenge AI outputs for better results. 00:00 Introduction and Balance Quote 00:22 Welcome Back to FutureCraft 01:28 Introducing Liza Adams 03:58 The Unchanged AI Adoption Challenge 06:30 Building Teams of 45 (25 Humans, 20 AI) 09:06 Digital Twin Framework and Implementation 17:34 The 80% Rule and Real ROI Examples 25:31 Prompt Strategy vs Prompt Engineering 26:02 Measuring AI Impact and ROI 28:21 Handling Hallucinations and Quality Control 32:50 Gladiator Segment: Live Jeopardy Game Creation 40:00 The Future of Marketing Jobs 47:49 Why Balance Beats EQ as the Critical Skill 51:09 Rapid Fire Questions and Wrap-Up Edited Transcript: Introduction: The Balance Between AI and Human Skills As AI democratizes IQ, EQ becomes increasingly important. Critical thinking and empathy are important, but I believe as marketers, balance is actually more important. Host Updates: Leveraging AI Workflows Ken Roden shares his approach to building better AI prompts by having full conversations with ChatGPT, exporting them to Word documents, then using that content to create more comprehensive prompts. This method resulted in more thorough market analysis with fewer edits required. Erin Mills discusses implementing agentic workflows using n8n to connect different APIs and build systems where AI tools communicate with each other. The key insight: break workflows down into steps rather than having one agent handle multiple complex tasks. Guest Introduction: Liza Adams on AI Adoption Challenges Liza Adams, the AI MarketBlazer, returns to discuss the current state of AI adoption in marketing teams. Despite significant technological advances, organizations still struggle with the same human change management challenges from a year ago. The Core Problem: Change Management Over Technology The main issue isn't about AI tools or innovation - teams can't simply be given ChatGPT, Claude, Gemini, and Perplexity and be expected to maximize their potential. Marketing teams are being handed tools while leaders expect employees to figure out implementation themselves. People need to see themselves in AI use cases that apply to their specific jobs. Joint learning sessions where teams share what works and what doesn't are essential. The focus has over-pivoted to "what's the right tool" when it should be on helping people understand, leverage, and make real impact with AI. The AI Adoption Plateau Many organizations face an AI adoption plateau where early adopters have already implemented AI, but a large group struggles with implementation. Companies attempting to "go fully agentic" or completely redo workflows in AI are taking on too much at once. Success Story: The 45-Person Hybrid Team Liza shares a case study of a marketing team with 45 members: 25 humans and 20 AI teammates that humans built, trained, and now manage. They started with simple custom GPTs, beginning with digital twins. Digital Twin Strategy for AI Implementation Digital twins are custom GPTs trained on frameworks, thinking patterns, publicly available content, and personality assessments like Myers-Briggs. These aren't designed to mimic humans but to learn about them and find blind spots, challenge thinking patterns, and overcome unconscious bias. For executive preparation, team members use digital twins of leadership to anticipate questions, identify gaps in presentations, and prepare responses before important meetings. The progression: Simple digital twins → Function-specific GPTs (pitch deck builders, content ideators, campaign analyzers) → Chained workflows across multiple departments (marketing, sales, customer success). Prompt Strategy vs. Prompt Engineering Following prompt frameworks (GRACE: Goals, Role, Action, Context, Examples) isn't enough if the underlying thinking is basic. AI magnifies existing thinking quality - good or bad. Example: Instead of asking "How do I reduce churn?" ask "Can you challenge my assumption that this is a churn problem? Could this data indicate an upsell opportunity instead?" This transforms churn problems into potential revenue opportunities through different strategic thinking. The 80% Rule for Practical AI Implementation AI outputs achieving 80-85% accuracy can transform productivity when combined with human oversight. Example: A team reduced translation and localization costs from tens of thousands of dollars monthly to $20/month using custom GPTs for eight languages, with human review for the final 15-20%. Measuring AI ROI: Three Strategic Approaches Align with Strategic Initiatives: Connect AI projects to existing company strategic initiatives that already have budgets, resources, and executive attention. Focus on Biggest Pain Points: Target areas where teams will invest resources to solve problems - excessive agency costs, overworked teams, or poor quality processes. Leverage Trailblazers: Identify curious team members already building AI solutions and scale their successful implementations. Handling AI Hallucinations and Quality Control AI models hallucinate 30-80% of the time when used as question-and-answer machines for factual queries. Hallucinations are less common with strategic questions, scenario analysis, and brainstorming. Prevention strategies: Limit conversation length and dataset size to avoid context window limitations Use multiple AI models to cross-check outputs Implement confidence checking: Ask AI to rate confidence levels (low/medium/high), explain assumptions, and identify what additional information would increase confidence Live Demo: Claude Artifacts for Interactive Content Liza demonstrates transforming the 2025 State of Marketing AI report into an interactive Jeopardy game using Claude Artifacts. The process involves uploading a PDF, providing specific prompts for game creation, and generating functional code without technical skills. This "vibe coding" approach allows users to describe desired outcomes and have AI build interactive tools, calculators, dashboards, and training materials. Future of Marketing Jobs and Skills Emerging roles: AI guides, workflow orchestrators, human-AI team managers Disappearing roles: Language editors, basic researchers, repetitive design tasks Transforming roles: Most existing positions adapting to include AI collaboration Critical skill for the future: Balance Innovation with ethics Automation with human touch Personalization with transparency Balance may be more important than emotional intelligence as AI democratizes cognitive capabilities. Key Takeaways The Gladiator segment demonstrates how dense research reports can become engaging, interactive content without engineering resources. Making AI implementation fun helps teams stay balanced and avoid overwhelm. Success comes from starting with tiny AI wins rather than comprehensive strategies, focusing on human change management over tool selection, and building systems that augment rather than replace human creativity. This version removes the conversational back-and-forth while preserving all the searchable content people would look for when researching AI implementation, digital twins, prompt strategy, change management, and practical AI use cases. Stay tuned for more insightful episodes from the FutureCraft podcast, where we continue to explore the evolving intersection of AI and GTM. Take advantage of the full episode for in-depth discussions and much more. ----more---- To listen to the full episode and stay updated on future episodes, visit the FutureCraft GTM website. Disclaimer: This podcast is for informational and entertainment purposes only and should not be considered advice. The views and opinions expressed in this podcast are our own and do not represent those of any company or business we currently work for/with or have worked for/with in the past.

Welcome to Episode 407 of the Microsoft Cloud IT Pro Podcast. In this episode, we dive deep into the Model Context Protocol (MCP) - a game-changing specification that's extending the capabilities of Large Language Models (LLMs) and creating exciting new possibilities for IT professionals working with Microsoft Azure and Microsoft 365. MCP represents a significant shift toward more extensible and domain-specific AI interactions. Instead of being limited to pre-trained knowledge, you can now connect your AI tools directly to live data sources, APIs, and services that matter to your specific role and organization. Whether you're managing Azure infrastructure, creating content, or developing solutions, MCP provides a framework to make your AI interactions more powerful and contextually relevant to your daily workflows. Your support makes this show possible! Please consider becoming a premium member for access to live shows and more. Check out our membership options. Show Notes Introducing the Model Context Protocol Understanding MCP server concepts Understanding MCP client concepts A list of applications that support MCP integrations About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

Kaya Thomas (kayathomas.is) comes back after half a decade to tell us about how motherhood inspired her new app Milk Diary (milkdiary.com). She talks about using new APIs like Foundation Models, SpeechAnalyzer, and AlarmKit to handle the complex stuff other  feeding apps miss: intelligent scheduling and reminders, combo feeding that's actually easy to track, hassle-free tracking for twins and smart milk management.GuestKaya ThomasKaya Thomas (@kayathomas@mastodon.social) - MastodonKaya (@kayathomas.is) — Blueskykmt901 (Kaya Thomas)Kaya Thomas | LinkedInKaya Thomas (@kayathomas.is) • Threads, Say moreMilk Diary AppRelated LinksRob Napier - TIL:AI. Thoughts on AIAI Code Reviews | CodeRabbit | Try for FreeRelated EpisodesNotifications with Kaya ThomasLive from CommunityKit WWDC 2025 with Matt MassicottePlinky with Joe FabisevichChatGPTovski with Kris SlazinskiThe Making of Callsheet with Casey LissApples, Glasses, and HAL, Oh My!Social MediaLinkedIn - @leogdionGitHub - @brightdigitGitHub - @leogdionTikTok - @brightdigitMastodon - @leogdion@c.imYoutube - @brightdigitBlueSky - ‪@leogdion.bsky.social‬Twitter Leo - @leogdionTwitter BrightDigit - @brightdigitCreditsMusic from https://filmmusic.io"Blippy Trance" by Kevin MacLeod (https://incompetech.com)License: CC BY (http://creativecommons.org/licenses/by/4.0/) (00:00) - What is Milk Diary (04:20) - Foundation Models (10:56) - The Feeding App Market (13:59) - Liquid Glass (17:01) - AlarmKit (19:34) - Local and Server Side Storage (22:28) - SpeechAnalyzer (25:13) - Developing with AI Thanks to our monthly supporters Edward Sanchez Steven Lipton ★ Support this podcast on Patreon ★

Protecting against sophisticated AI-powered attacks on APIs - identifying anomalies and threatsMeeting API compliance and data protection challenges with emerging technologiesMoving towards a mature posture for API securityThom Langford, Host, teissTalkhttps://www.linkedin.com/in/thomlangford/Satyam Rastogi, Director of Information Security & DevOps, BAMKOhttps://www.linkedin.com/in/hackersatyamrastogi/Mike Johnson, Global Cyber Threat & Incident Response Manager, Verifonehttps://www.linkedin.com/in/mike---johnson/Madison Dreshner, Principal of IT Risk and Compliance solutions, AuditBoardhttps://www.linkedin.com/in/madisondreshner/

Wesley Beary of Anchor speaks with host Sam Taggart about designing APIs with a particular emphasis on user experience. Wesley discusses what it means to be an “API connoisseur”— paying attention to what makes the APIs we consume enjoyable or frustrating and then taking those lessons and using them when we design our own APIs. Wesley and Sam also explore the many challenges developers face when designing APIs, such as coming up with good abstractions, testing, getting user feedback, documentation, security, and versioning. They address both CLI and web APIs. This episode is sponsored by Fly.io.

As digital infrastructure becomes increasingly interwoven with third-party code, APIs, and AI-generated components, organizations are realizing they can't ignore the origins—or the risks—of their software. Theresa Lanowitz, Chief Evangelist at LevelBlue, joins Sean Martin and Marco Ciappelli to unpack why software supply chain visibility has become a top concern not just for CISOs, but for CEOs as well.Drawing from LevelBlue's Data and AI Accelerator Report, part of their annual Futures Report series, Theresa highlights a striking correlation: 80% of organizations with low software supply chain visibility experienced a breach in the past year, while only 6% with high visibility did. That data underscores the critical role visibility plays in reducing business risk and maintaining operational resilience.More than a technical concern, software supply chain risk is now a boardroom topic. According to the report, CEOs have the highest awareness of this risk—even more than CIOs and CISOs—because of the direct impact on brand reputation, stock value, and partner trust. As Theresa puts it, software has become the “last mile” of digital business, and that makes it everyone's problem.The conversation explores why now is the time to act. Government regulations are increasing, adversarial attacks are intensifying, and organizations are finally beginning to connect software vulnerabilities with business outcomes. Theresa outlines four critical actions: leverage CEO awareness, understand and prioritize vulnerabilities, invest in modern security technologies, and demand transparency from third-party providers.Importantly, cybersecurity culture is emerging as a key differentiator. Companies that embed security KPIs across all business units—and align security with business priorities—are not only more secure, they're also more agile. As software creation moves faster and more modular, the organizations that prioritize visibility and responsibility throughout the supply chain will be best positioned to adapt, grow, and protect their operations.Learn more about LevelBlue: https://itspm.ag/levelblue266f6cNote: This story contains promotional content. Learn more.Guest: Theresa Lanowitz, Chief Evangelist of AT&T Cybersecurity / LevelBlue [@LevelBlueCyber]On LinkedIn | https://www.linkedin.com/in/theresalanowitz/ResourcesTo learn more, download the complete findings of the LevelBlue Threat Trends Report here: https://itspm.ag/levelbyqdpTo download the 2025 LevelBlue Data Accelerator: Software Supply Chain and Cybersecurity report, visit: https://itspm.ag/lbdaf6iLearn more and catch more stories from LevelBlue: https://www.itspmagazine.com/directory/levelblueLearn more about ITSPmagazine Brand Story Podcasts: https://www.itspmagazine.com/purchase-programsNewsletter Archive: https://www.linkedin.com/newsletters/tune-into-the-latest-podcasts-7109347022809309184/Business Newsletter Signup: https://www.itspmagazine.com/itspmagazine-business-updates-sign-upAre you interested in telling your story?https://www.itspmagazine.com/telling-your-story

ZITADEL is pioneering the next generation of identity infrastructure, providing a developer-first platform that handles everything from basic authentication to complex multi-tenant B2B scenarios. With $11.5 million in funding and a unique open-source approach, ZITADEL has positioned itself as the "GitLab for identity" - offering both self-hosted and SaaS deployment options while maintaining flexibility through comprehensive APIs. In a recent episode of Category Visionaries, I sat down with Florian Forster, CEO and Co-Founder of ZITADEL, who recently relocated from Switzerland to the Bay Area to accelerate the company's go-to-market efforts and tap into the massive US opportunity. Topics Discussed: ZITADEL's comprehensive identity platform covering authentication, authorization, and multi-tenant scenarios The company's innovative dual-licensing approach combining AGPL open source with commercial offerings Florian's strategic decision to relocate his entire family from Switzerland to the Bay Area The evolution from per-user pricing to capability-based pricing models Building a global team across three regions: Europe for engineering, US for go-to-market, and Argentina for customer success Marketing strategy focused 80/20 on developers versus buyers Cultural differences between European and American go-to-market approaches Future vision for AI risk mitigation and behavioral analytics in identity management GTM Lessons For B2B Founders: Embrace "cash or code" open source strategy: Florian introduced the concept of "cash or code" - users either pay for commercial features or contribute meaningfully to the open source project. ZITADEL's shift from Apache to AGPL licensing ensures that free users contribute back to the community while commercial customers get enterprise features and SLAs. This dual-licensing approach creates sustainable economics while building a strong community foundation. Rethink pricing to align with customer value creation: ZITADEL is moving away from per-user pricing because, as Florian explains, "we are the system that makes users useful. So if we hinder our customers on creating users in the first place, it kind of defeats the whole idea." Instead, they're shifting to capability-based pricing where customers pay for specific features like compliance notifications rather than user seats. This removes friction from customer growth and better aligns pricing with actual value delivered. Focus marketing efforts on developers, not just buyers: ZITADEL discovered that an 80/20 split between developer-focused and buyer-focused marketing works best. Florian notes that "targeting the developer ultimately leads to us being in the debate when somebody procures a system like ours." Developers do the initial evaluation and recommendation, so winning them over is crucial for getting into procurement discussions with buyers. Leverage geographic arbitrage strategically: ZITADEL operates across three regions - Europe for core engineering (quality engineers at $100-250K vs $250-500K in Bay Area), US for go-to-market, and Argentina for customer success and sales engineering. This approach optimizes for both cost efficiency and timezone coverage while maintaining quality across all functions. Adapt messaging for cultural differences: Moving from Switzerland to the US taught Florian that "in US marketing, things get overinflated quite severely, but the buyer knows that and automatically deducts some of it." Europeans tend to under-market solid products, while US buyers expect and discount for marketing inflation. B2B founders must calibrate their messaging appropriately for different markets and buyer expectations.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM   

Ahead of Black Hat USA 2025, Sean Martin and Marco Ciappelli sit down once again with Rupesh Chokshi, Senior Vice President and General Manager of the Application Security Group at Akamai, for a forward-looking conversation on the state of AI security. From new threat trends to enterprise missteps, Rupesh lays out three focal points for this year's security conversation: protecting generative AI at runtime, addressing the surge in AI scraper bots, and defending the APIs that serve as the foundation for AI systems.Rupesh shares that Akamai is now detecting over 150 billion AI scraping attempts—a staggering signal of the scale and sophistication of machine-to-machine activity. These scraper bots are not only siphoning off data but also undermining digital business models by bypassing monetization channels, especially in publishing, media, and content-driven sectors.While AI introduces productivity gains and operational efficiency, it also introduces new and uncharted risks. Agentic AI, where autonomous systems operate on behalf of users or other systems, is pushing cybersecurity teams to rethink their strategies. Traditional firewalls aren't enough—because these threats don't behave like yesterday's attacks. Prompt injection, toxic output, and AI-generated hallucinations are some of the issues now surfacing in enterprise environments, with over 70% of organizations already experiencing AI-related incidents.This brings the focus to the runtime. Akamai's newly launched Firewall for AI is purpose-built to detect and mitigate risks in generative AI and LLM applications—without disrupting performance. Designed to flag issues like toxic output, remote code execution, or compliance violations, it operates with real-time visibility across inputs and outputs. It's not just about defense—it's about building trust as AI moves deeper into decision-making and workflow automation.CISOs, says Rupesh, need to shift from high-level discussions to deep, tactical understanding of where and how their organizations are deploying AI. This means not only securing AI but also working hand-in-hand with the business to establish governance, drive discovery, and embed security into the fabric of innovation.Learn more about Akamai: https://itspm.ag/akamailbwcNote: This story contains promotional content. Learn more.Guests:Rupesh Chokshi, SVP & General Manager, Application Security, Akamai | https://www.linkedin.com/in/rupeshchokshi/Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com______________________ResourcesLearn more and catch more stories from Akamai: https://www.itspmagazine.com/directory/akamaiLearn more about ITSPmagazine Brand Story Podcasts: https://www.itspmagazine.com/purchase-programsNewsletter Archive: https://www.linkedin.com/newsletters/tune-into-the-latest-podcasts-7109347022809309184/Business Newsletter Signup: https://www.itspmagazine.com/itspmagazine-business-updates-sign-upAre you interested in telling your story?https://www.itspmagazine.com/telling-your-story

ITSPmagazine Weekly Update | From Black Hat to Black Sabbath / Ozzy: AI Agents and Guitars (again!) + Entry Level Cybersecurity Jobs, Robots Evolution, and the Weekly Recap You Didn't Expect  -  On Marco & Sean's Random & Unscripted Podcast  __________________Marco Ciappelli and Sean Martin are back with another random and unscripted weekly recap—from pre-Black Hat buzz and AI agents to vintage wood guitars, talent gaps, and Glen Miller debates. This week's reflection hits tech, music, and philosophy in all the right ways. Tune in, ramble with us, and subscribe. __________________Full Blog Article This week's recap was a ride.Sean and I kicked things off with the big news: we're officially consistent. Weekly recap number… I lost count. But we're doing it. We covered what ITSPmagazine's been working on, what we've been publishing, and where our minds are wandering lately (spoiler: everywhere).Black Hat USA 2025 is just around the corner, and we're deep into prep mode. I even bought a paper map. Why? I don't know. But we've got some great pre-event conversations already out—like our annual chat with Black Hat GM Steve Wylie, plus briefings with Dropzone AI (get ready for “agentic automation” to be the next big buzzword) and Akamai (yes, bots and APIs again, but with a solid strategy twist).We also talked about a fantastic episode Sean did on resonance and reinvention—featuring Cindy, a luthier in NYC who builds custom guitars using century-old beams from historic buildings. The pickups even use the old nails. Music and wood with a past life. It's beautiful stuff.Speaking of stories, I officially closed down the Storytelling podcast. But don't worry—I'm still telling stories. I've just shifted focus to “Redefining Society and Technology,” my newsletter and podcast series where I explore how humans and tech evolve together. This week's edition tackled the merging of humans and machines as a new species. Isaac Asimov meets Andy Clark.We also got a bit philosophical about AI and jobs. If machines take over the “easy” roles, where do humans begin? Are we cutting off our own training paths?Sean's episode with John Solomon dug into the cybersecurity hiring crisis—challenging the idea that we have a “talent gap.” The real issue? We're not hiring or nurturing people properly.Oh, and I finally released my long-overdue interview with Michael Sheldrick from Global Citizen. Music. Social impact. Doing good. It's all there. I'm honored to support even a small piece of what he's building.And yes… Ozzy. RIP. Music never dies.So if you're into random reflections with meaning, tech with humanity, and stories that don't always follow the rules—subscribe, share, and join the ride.See you in Vegas. Or the future. Or somewhere in between.________________ KeywordsBlack Hat USA 2025, ITSPmagazine recap, Marco Ciappelli, Sean Martin, cybersecurity podcast, AI in cybersecurity, agentic automation, Dropzone AI, Akamai APIs, HITRUST security, Global Citizen, Michael Sheldrick, storytelling podcast, Redefining Society, Andy Clark, Isaac Asimov, human-machine evolution, cybersecurity talent gap, custom guitar NYC, Ozzy tributeHosts links:

On the podcast today we have Adam Silverstein. He's here to discuss how new browser APIs and web technologies are transforming the WordPress experience. Adam explains advancements like the Popover API, Scroll Animations, CSS carousels, customisable selects, view transitions, and speculative loading, many of which reduce reliance on heavy JavaScript and improve accessibility, performance, and user experience. He also touches upon modern image formats, browser-based image processing, and running AI directly in the browser. Adam highlights the growing collaboration among browser vendors and encourages developers to engage in shaping browser standards for the open web. Whether you're a theme designer, plugin developer, or site owner simply curious about what's next, this episode is for you.

Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs.SHOW: 943SHOW TRANSCRIPT: The Cloudcast #943 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS" SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro.Topic 2 - Let's start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT's and fine tune them?Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States.Topic 3 - Let's break down the layers in a typical Private AI stack. I'm seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual componentsTopic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it's own thing with specific tools and workflows. Does this all come together and if so how?Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data?Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In this Beekeeping Today Podcast Short, Dr. Dewey Caron returns with another insightful “audio postcard,” this time exploring the marvel of honey—its meaning for honey bees, its significance for beekeepers, and its surprising impact on human health. Dewey begins by examining how we define honey, touching on both scientific and regulatory perspectives, including recent efforts like the proposed Honey Integrity Act. He then dives into how honey is processed by bees—from nectar foraging to enzyme transformation and evaporation—highlighting the bee-to-bee communication system of trophallaxis that powers the hive's food-sharing network. Beyond the hive, Dewey explores honey's powerful medicinal properties. Drawing from a comprehensive mega-review of over 100 studies, he outlines honey's antimicrobial, anti-inflammatory, antioxidant, and even anti-cancer effects, with a focus on manuka honey's growing use in clinical wound care. Finally, he turns the spotlight on beekeeper-to-bee communication—urging beekeepers to proactively manage supers and recognize nectar flows to support colony health and maximize harvest. Whether you're fascinated by bee biology or interested in honey as a functional food, this episode is packed with sweet insight. Links & Resources: Saeed Samarghandian, Tahereh Farkhondeh and Fariborz Samini, 2017. Honey and Health: A Review of Recent Clinical Research. Pharmacognosy Res. Apr-Jun;9(2):121– 27. doi: 10.4103/0974-8490.204647 Crailsheim, Craig, 1998. Trophallactic interactions in the adult honeybee (Apis mellifera L). https://www.apidologie.org/articles/apido/pdf/1998/01/Apidologie_0044-8435_1998_29_1-2_ART0006.pdf Collison, Clarence 2017. Trophallaxis. Bee Culture https://beeculture.com/a-closer-look-12/ Tezze, A.A. and W.M. Farina 1999.  Trophallaxis in the honeybee, Apis mellifera: the interactions between viscosity and sucrose concentration of the transferred solution. Anim. Behav. 57: 1319-1326. Brought to you by Betterbee – your partners in better beekeeping. ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com Copyright © 2025 by Growing Planet Media, LLC

Influencing without authority is the hidden superpower of security leadership—and a crucial skill every engineering leader must master. In this episode, Srinath Kuruvadi (Head of Cloud Security @ JPMorgan Chase) breaks down how to influence without formal authority and advocate when ROI isn't immediately clear. We cover tactics for shaping problems from the POV of other stakeholders, Plus, strategies to establish shared outcomes, insights on optimizing your time, emerging AI x security trends, and how his team is operationalizing curiosity & experimentation through The Innovation Lab.ABOUT SRINATH KURUVADISrinath Kuruvadi is a globally recognized cybersecurity executive and cloud security leader with over two decades of experience driving security innovation at some of the world's most influential technology companies, including Netflix, Meta, Google, Lyft, and JPMorgan Chase. Currently serving as Managing Director and Head of Cloud Security at JPMorgan Chase, he leads the enterprise-wide security strategy across APIs, containers, and cloud platforms, shaping the future of banking technology.Srinath's approach blends deep technical expertise with executive-level risk management. At Netflix, he headed cloud security for one of the largest AWS environments globally, pioneering scalable governance and identity systems that supported massive data throughput. At Meta and Google, he led the development of custom infrastructure security systems protecting billions of users, including Facebook's Blackbird SIEM+SOAR platform.Beyond his executive roles, Srinath is a strategic advisor and angel investor, with five successful startup exits including Bridgecrew, Lightspin, Oxeye, Gem Security, and Kivera. He is also a trusted advisor to venture capital firms like YL Ventures and Glilot Capital Partners, and served on Amazon's Global CISO Advisory Council.He holds multiple patents in web application security, database protection, and abuse detection, and has authored research on algorithmic solutions in industrial systems. Srinath is also multilingual and committed to lifelong learning, exemplified by a sabbatical that took him to over 35 countries for cultural, linguistic, and creative growth.With a Master's degree in Computer Science from North Carolina State University and a Bachelor's from BITS Pilani, Srinath is known for transforming security from a blocker into a business accelerator.Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Industrial Talk is talking to Tacoma Zach, Co-Founder and CEO at MentorAPM about "Functionally unite end-to-end asset lifecycle management". Scott Mackenzie interviews Tacoma Zach Mentor about Mentor APM, a comprehensive asset management solution. Tacoma shares his background in chemical engineering and asset management, highlighting his experience with Veolia and ExxonMobil. Mentor APM offers a 29-day implementation process, leveraging pre-loaded asset libraries and failure modes. The platform integrates with existing ERP systems and uses AI for rapid, accurate asset assessments. Tacoma emphasizes the importance of proactive asset management, prioritization, and the human component in change management. Mentor APM aims to enhance reliability, reduce costs, and improve operational stability. Action Items [ ] Reach out to Tacoma Zach at mentor APM to learn more about the solution. [ ] Connect with Tacoma Zach on LinkedIn. Outline Introduction and Welcome to Industrial Talk Scott MacKenzie welcomes listeners to the Industrial Talk podcast, emphasizing the importance of celebrating industrial heroes. Scott introduces Tacoma Scott encourages listeners to dive into the industry, emphasizing the need for education, collaboration, and innovation. Scott announces the launch of the Industrial News Network (INN) to keep up with the fast-moving industry and connect people with the right information. Tacoma Zack Mentor's Background and Journey Tacoma Zach Mentor shares his background, starting as a graduate chemical engineer from the University of Toronto. Tacoma discusses his career in contract operations, eventually leading to Veolia, and his transition into asset management. He explains the founding of his engineering company in 2005 and his involvement with Herbalytics, a spin-out from Veolia focused on risk and criticality analysis. Tacoma describes the development of Mentor APM in 2017, aiming to unify various asset management functionalities into one comprehensive solution. Mentor APM's Unique Value Proposition Scott and Tacoma discuss the crowded market of asset management platforms and what sets Mentor APM apart. Tacoma explains the origins of the name "Mentor," derived from the best practices and experiences from Veolia and other companies. He highlights the importance of automation and pre-loading data to reduce rework and manual processes. Tacoma emphasizes the need for a unified solution that integrates various aspects of asset management, from failure modes to prioritization. Implementation and Adoption of Mentor APM Scott inquires about the implementation process and timeline for Mentor APM. Tacoma explains that Mentor APM can be implemented in as little as 29 days, thanks to pre-loaded asset libraries and failure modes. He discusses the importance of prioritization and the ability to quickly assess and manage critical assets. Tacoma highlights the flexibility of Mentor APM to adapt to different customer needs and the importance of change management in the adoption process. Integration with Existing Systems and AI Advancements Scott asks about the integration of Mentor APM with existing ERP systems. Tacoma explains that Mentor APM has published APIs to seamlessly integrate with various systems, including ERP solutions. He introduces Mentor Lens, a tool that allows for...

In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time, production-ready conversational voice AI. Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages the complexities of multi-turn conversations. We explore why many production systems favor a modular, multi-model approach over the end-to-end models demonstrated by large AI labs, and how this impacts everything from latency and cost to observability and evaluation. Kwin also digs into the core challenges of interruption handling, turn-taking, and creating truly natural conversational dynamics, and how to overcome them. We discuss use cases, thoughts on where the technology is headed, the move toward hybrid edge-cloud pipelines, and the exciting future of real-time video avatars, and much more. The complete show notes for this episode can be found at https://twimlai.com/go/739.