Podcasts about Databricks

Welcome to a Special Episode of AI Unraveled: The Cost of Data Gravity: Solving the Hybrid AI Deployment Nightmare.We are tackling the silent budget killer in enterprise AI: Data Gravity. You have petabytes of proprietary data—the "mass" that attracts apps and services—but moving it to the cloud for inference is becoming a financial and regulatory nightmare. We break down why the cloud-first strategy is failing for heavy data, the hidden tax of egress fees, and the new architectural playbook for 2025.Source: https://www.linkedin.com/pulse/cost-data-gravity-solving-hybrid-ai-deployment-nightmare-djamgatech-ic42cStrategic Pillars & Topics

Send us a textInvest in pre-IPO stocks with AG Dillon & Co. Contact aaron.dillon@agdillon.com to learn more. Financial advisors only. www.agdillon.com00:00 - Intro00:08 - Anthropic Mega-Scale Infra + $350B Valuation Surge01:44 - xAI $15B Raise at $230B Valuation02:45 - xAI Saudi Arabia 500MW Data Center03:57 - xAI Grok 5 to be Released in Q1 202604:42 - Databricks $130B+ Valuation in Discussion05:55 - Ramp Hyper-Growth to $32B Valuation06:47 - Kraken $800M Raise at $20B Valuation07:51 - Kalshi $1B Raise at $11B Valuation08:54 - Faire Employee Tender at $5.2B09:42 - Apptronik $5B Raise for Humanoid Robots10:44 - Tenstorrent $800M Raise at $3.2B Valuation11:45 - Function Health $298M Raise at $2.5B Valuation12:55 - Suno $250M Series C at $2.45B Valuation13:51 - Bezos Returns as Co-CEO of Prometheus14:42 - Thinking Machines to Raise $5B15:27 - Lambda raised $1.5B + Multibillion Microsoft Deal16:31 - Blue Origin's New Glenn 9x4 Super-Heavy Rocket17:29 - Starlink's New $40 Plan + 10,000 Satellites18:15 - Starlink Wins Emirates Airlines Fleet Deal19:10 - Target to join OpenAI ChatGPT Shopping + Enterprise Rollout20:01 - Perplexity Comet AI Browser Launch

In today's Tech3 from Moneycontrol, we break down the government's big labour code update that mandates IT salaries be paid by the 7th of every month. We also dive into the blockbuster year for VCs with Rs 15,000 crore in IPO exits, Meesho's $5.9 billion listing plans, and an exclusive with Uniphore CEO Umesh Sachdev on why AI rivals NVIDIA, AMD, Snowflake and Databricks invested together. Plus, Groww's first results post-IPO reveal profit up but revenue dipping.

In this CRO Spotlight episode, host Warren Zenna sits down with Steven Birdsall, CRO at Alteryx, to unpack a sweeping leadership transition and how a newly formed C‑suite aligned on product and go‑to‑market. Steven shares how a product‑centric CEO and a servant‑leader CRO combine to create clarity of mandate, performance culture, and human‑first execution across sales, CS, partners, and solutions engineering.The conversation dives deep into Alteryx's evolution from workflows feeding BI to becoming the governed “canvas” for AI and agent use cases. Steven explains how business users can blend structured and unstructured data, enforce governance and access controls, and then safely bring LLMs into the same environment—pushing compute down to cloud data platforms like BigQuery, Databricks, and Snowflake.For CROs, Steven details practical AI operationalization: SDR personalization at scale, three‑dimensional agents trained on company knowledge, and revenue insights built directly on internal data. He outlines how to raise sales efficiency without scaling opex linearly, and why fast experimentation with new AI tools is now core to modern GTM orchestration.Steven closes with hiring and leadership principles for today's CRO: prioritize grit, perseverance, and customer centricity over pedigree; remove roadblocks for the field; and mentor generously. He shares how to balance data‑driven rigor with empathy, build alignment with marketing regardless of reporting lines, and stay entrepreneurial—even inside a large, complex organization.

What happened with Cloudflare this morning. Grok's new model wants to be creative. Catching you up on the bloodbath in crypto if you were unaware. Databricks is 12 years old but it seems to be one of the big AI winners. And debt continues to pile in to the AI buildout. A massive Cloudflare outage brought down X, ChatGPT, and even Downdetector (The Verge) Grok 4.1 has arrived — and it's bringing the fight to ChatGPT with these new features (Tom's Guide) Crypto market sheds $1.2tn as traders shun speculative assets (Financial Times) Google boss says trillion-dollar AI investment boom has 'elements of irrationality' (BBC) Amazon Raises $15 Billion in First US Bond Sale in Three Years (Bloomberg) Databricks in Talks to Raise Capital at a Valuation Above $130 Billion (The Information) Roblox will require age estimation to chat starting next year (The Verge) Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's episode, I'm talking with Andrew Wilhelms, VP of Talent Management at Databricks and a seasoned leader with a wealth of experience from organizations like Twilio and Tesla. In t his conversation, we explore the evolving world of talent development and break down the difference between building individual capabilities and managing organizational systems, and why understanding both is crucial in today's dynamic business landscape.Andrew also shares insights from his unique journey, including how his philosophy background shaped his approach to leadership, what he believes actually transforms good teams into high-performing ones, and why the next wave of talent will require us all—no matter our title—to start thinking (and leading) like executives. They also dig into the impact of AI on both work and leadership, the importance of designing a positive employee experience, and practical ways to move beyond “knowing” to actually “doing” when it comes to developing great leaders.Key Notes and topics we cover in this episode:The Nature of LeadershipPreparing Future LeadersChallenges in Corporate LeadershipTalent Management vs. Talent DevelopmentThe Next Paradigm Shift in Talent: AIAI and Tools in Talent DevelopmentThe “Brickster Experience” at DatabricksPsychological Safety and Growth MindsetManager and Leadership Development ModelsCareer Development PhilosophyLessons Learned & ReflectionsTalent Development TrendsRecommended ResourcesCareer Advice for Talent ProfessionalsThis episode is also sponsored by LearnIt, which is offering a FREE trial of their TeamPass membership for you and up to 20 team members of your team. Check it out here.Connect with Andy here: Website | LinkedInConnect with Andrew Wilhelms here: LinkedInOrder my new book, Own Your Brand, Own Your Career on AmazonAnd my first book, Own Your Career Own Your Life, is on Amazon as well.

S&P futures are down (0.3%) and pointing to a slightly lower open today. Asian equities ended Tuesday trading broadly lower, with the Nikkei leading the declines, down over (3%), followed by the Greater China markets. Markets saw steep losses in large-cap tech and semiconductors ahead of NVIDIA's earnings on Wednesday. Concerns are mounting over high valuations in AI-related stocks, a key driver of this year's market rally. European markets are also sliding now, with the STOXX 600 down (1.2%). Companies Mentioned: NVIDIA, Axalta Coating Systems, Databricks

In this special episode of Cloud Wars Live, Bob Evans speaks with Chad Wahlquist, Architect at Palantir, about the company's explosive Q3 growth and the accelerating adoption of its AI Platform (AIP). They explore how AIP serves as an operating system for the enterprise, enabling customers to achieve global optimization, faster ROI, and model flexibility. Wahlquist also talks about Palantir's open, interoperable architecture and its commitment to delivering value at speed, especially for customers in high-stakes, high-pressure environments.Operate Smarter, Not SlowerThe Big Themes:Speed to Value: Many companies still operate under the assumption that meaningful transformation requires multi‑year timelines (two to three years, sometimes more). Palantir is pushing the idea that you must deliver value in months, three to six months, rather than years. This shift is critical because when business markets move fast, and when competitive advantage erodes quickly, speed becomes a differentiator. If you wait for years, you may miss the window or be out‑paced.Interoperability and Ecosystem Integration: The platform isn't trying to lock you into a “box” you must keep your data in; it instead emphasizes plug‑in interoperability with systems you already have. Wahlquist mentions connectors, SDKs, APIs, and plug‑ins to partners like Snowflake, Databricks, SAP, NVIDIA. The concept: if you already have investment in some systems, don't throw them away; just connect them. This increases the speed to value and reduces friction.Ambition, Willingness to Operate in Crisis: Wahlquist points out they often engage with customers who are under pressure. These customers need value now, not two or three years out. Situations like supply chain disruption, plant outages, labor issues, etc., are real. This situational urgency forces companies to adopt architectures and partners that can deliver now. The takeaway: It's not enough to believe you'll transform in the future; transformation architecture must be built for today's fires.The Big Quote: “Our goal is really: how do we scale our customers and the outcomes they're delivering — not just the number of customers?"More from Chad and Palantir:Follow Chad on LinkedIn or get an overview of Palantir's Q3 in its letter to shareholders. Visit Cloud Wars for more.

Wisdom AI sells to enterprise data teams, empowering them to deploy AI data analysts that automate analytics functions traditionally handled by human analysts. As a former Rubrik co-founder and Google search ranking engineer, Soham identified the analytics problem firsthand while scaling Rubrik from intuition-driven to data-driven operations. In this episode of Category Visionaries, Soham shares how four Rubrik alumni are building a category-defining solution in the data analytics space, the tactical insights from targeting mid-market accounts to optimize deal velocity and onboarding experience, and how AI buying committees shifted from experimental budgets in 2024 to gatekeepers requiring departmental champions in 2025. Topics Discussed: Leveraging mid-market focus to compress sales cycles while refining onboarding as core product differentiation The transition from gut-based decisions to data-driven operations and why analytics remains unsolved Taming LLMs for precision and explainability requirements in enterprise analytics contexts Strategic navigation of the data ecosystem following the FiveTran-DBT merger and positioning against Snowflake, Databricks, and cloud providers Overlaying product-led trial motions on enterprise sales to maintain momentum during extended procurement cycles AI committee evolution from 2024's experimental phase to 2025's security-focused consolidation mandate Pursuing 10x productivity gains versus incremental improvement in established analytics markets GTM Lessons For B2B Founders: Use mid-market to build onboarding velocity as moat: Rubrik deliberately targeted mid-market accounts despite being an enterprise product that closed eight-figure deals. This served two strategic purposes: compressed sales cycles enabled faster learning loops, and the necessity of quick onboarding forced the team to build exceptional admin experiences that became their primary differentiation. For B2B founders, mid-market isn't just easier logos—it's a forcing function for product refinement that creates competitive advantages when moving upmarket. Find problems through operational scar tissue, not market research: Wisdom AI originated when Soham tried moonlighting as engineering's data analyst during Rubrik's scaling phase and discovered he couldn't do it effectively. This wasn't a customer interview insight—it was firsthand recognition that even sophisticated technical leaders with dedicated focus couldn't wrangle data for operational decisions. The problem proved ubiquitous across every business leader optimizing top line, bottom line, and operations. B2B founders building for enterprises should prioritize pain points they've personally hit in operational contexts where existing solutions demonstrably failed them. Engineer time-to-value in minutes for PLG overlay on enterprise sales: Wisdom AI's experiential quality—users get excited when they try it, not when they see slides—creates PLG opportunity despite enterprise positioning. The critical difference: sales-led motions tolerate weeks to first value and build confidence through process, but self-serve requires hook-to-value in minutes with zero support. Soham's insight is using PLG not for credit card swipes but to maintain champion enthusiasm during lengthy procurement processes. B2B founders should architect trial experiences that deliver standalone value pre-data connection, creating internal advocates who sustain momentum through AI committee reviews. Treat ecosystem navigation as first-class GTM workstream: Wisdom AI's success depends on partnership execution with Snowflake, Databricks, and cloud providers—all potential competitors with their own AI initiatives. The FiveTran-DBT merger created immediate dynamic shifts requiring repositioning. Rather than viewing partnerships as business development, Soham frames ecosystem navigation as core GTM infrastructure requiring dedicated strategy and repeatable playbooks. B2B founders in platform-adjacent spaces should staff for partnership complexity early, recognizing that integration points and co-selling motions often determine market access more than direct sales capacity. Architect for AI committee gatekeepers with departmental executive sponsorship: The market fundamentally shifted from mid-2024's "experimental AI budgets, try everything" to 2025's centralized AI committees focused on security, tool consolidation, and preventing organizational wild west scenarios. Soham's tactical response: secure champions owning specific important departments who can navigate approval hierarchies while trial experiences maintain grassroots excitement. The implication for B2B AI founders—assumption of longer cycles, security scrutiny as table stakes, and explicit strategies for climbing from individual enthusiast to organizational deployment become non-negotiable enterprise sales requirements. // 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

A great interview with a co-founder of Deepwater Asset Management talking about technology, AI, and the opportunities in Frontier Tech via their ETF, LOUP, the Deepwater, Frontier Tech ETF. We talk about the power generation story, fintech opportunities, Robotics, Autonomous and augmented reality.We talked about: First Solar, Tesla, SpaceX, their Venture Funds, application layer of AI, OpenAI, Databricks, Anduril, Cameco and more.For more information on Deepwater Asset Mgt:https://www.deepwatermgmt.com/For more information on LOUP ETF:https://www.innovatoretfs.com/etf/default.aspx?ticker=loupIntelligent Alpha AI GPT ETF:https://iaetfs.com/etf/

Unlocking Healthcare Data: Expert Insights from Jason Bryll of Parable AssociatesIn this episode, host Josh Elledge interviews Jason Bryll, Founder and CEO of Parable Associates, a company helping healthcare organizations harness their data for growth, efficiency, and better patient outcomes. Jason discusses how healthcare's complex data systems—spanning patients, payers, and providers—can be transformed into powerful strategic assets. The conversation explores modern data infrastructure, AI adoption, and how healthcare leaders can turn information into action.Turning Healthcare Data into a Strategic AdvantageJason explains that healthcare organizations deal with some of the most fragmented and regulated data ecosystems of any industry. With multiple payment sources, strict HIPAA compliance, and disconnected systems, many practices struggle to translate data into actionable insights. Through Parable Associates, Jason helps clients design robust, scalable data infrastructures that unify information from EHRs, practice management tools, and claims systems to create real-time visibility into operations.He highlights how modern tools like Microsoft Fabric, Databricks, and Snowflake are transforming how providers process and analyze information. By automating data pipelines, implementing AI-driven analytics, and empowering teams with dashboards, healthcare organizations can reduce claim denials, improve revenue cycles, and accelerate cash flow. Jason emphasizes that true transformation begins with data governance—ensuring clean, accessible, and secure data before layering on advanced analytics.Ultimately, Parable's approach is rooted in measurable ROI. From reducing days sales outstanding (DSO) to uncovering revenue bottlenecks, their systems deliver tangible results. Jason advises healthcare executives to start with a specific business problem—such as cash flow or patient scheduling—and build data strategies around it. “Better reporting is like giving staff a utility belt,” he says. “It equips them to solve problems faster and with more confidence.”About Jason BryllJason Bryll is the Founder and CEO of Parable Associates, where he helps large healthcare organizations transform fragmented data into operational insights. With deep experience in analytics, systems design, and healthcare finance, Jason has worked with providers nationwide to improve data quality, cash flow, and performance through tailored, scalable solutions.About Parable AssociatesParable Associates specializes in healthcare analytics and data engineering, helping medical groups, hospitals, and specialty providers build scalable data ecosystems. The firm designs client-owned systems that unify data across clinical, operational, and financial functions, delivering clear insights and measurable ROI. Learn more at parableassociates.com.Links Mentioned in This EpisodeParable AssociatesConnect with Jason Bryll on LinkedInKey Episode HighlightsWhy healthcare data is uniquely complex and siloedHow to build scalable, secure data infrastructureUsing analytics to improve cash flow and reduce claim delaysPractical applications of AI and modern BI platformsHow Parable Associates delivers measurable ROI through dataActionable advice for healthcare leaders and data teamsConclusionJason Bryll's insights...

When “Normal” Doesn't Work: Rethinking Data and the Role of the SOC AnalystMonzy Merza, Co-Founder and CEO of Crogl, joins Sean Martin and Marco Ciappelli to discuss how cybersecurity teams can finally move beyond the treadmill of normalization, alert fatigue, and brittle playbooks that keep analysts from doing what they signed up to do—find and stop bad actors.Merza draws from his experience across research, security operations, and leadership roles at Splunk, Databricks, and one of the world's largest banks. His message is clear: the industry's long-standing approach of forcing all data into one format before analysis has reached its limit. Organizations are spending millions trying to normalize data that constantly changes, and analysts are paying the price—buried under alerts they can't meaningfully investigate.The conversation highlights the human side of this issue. Analysts often join the field to protect their organizations, but instead find themselves working on repetitive tickets with little context, limited feedback loops, and an impossible expectation to know everything—from email headers to endpoint logs. They are firefighters answering endless 911 calls, most of which turn out to be false alarms.Crogl's approach replaces that normalization-first mindset with an analyst-first model. By operating directly on data where it lives—without requiring migration or schema alignment—it allows every analyst to investigate deeper, faster, and more consistently. Each action taken by one team member becomes shared knowledge for the next, creating an adaptive, AI-driven system that evolves with the organization.For CISOs, this means measurable consistency, auditability, and trust in outcomes. For analysts, it means rediscovering purpose—focusing on meaningful investigations instead of administrative noise.The result is a more capable, connected SOC where AI augments human reasoning rather than replacing it. As Merza puts it, the new normal is no normalization—just real work, done better.Watch the full interview and product demo: https://youtu.be/7C4zOvF9sdkLearn more about CROGL: https://itspm.ag/crogl-103909Note: This story contains promotional content. Learn more.GUESTMonzy 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/croglBrand Spotlight: The Schema Strikes Back: Killing the Normalization Tax on the SOC: https://brand-stories-podcast.simplecast.com/episodes/the-schema-strikes-back-killing-the-normalization-tax-on-the-soc-a-corgl-spotlight-brand-story-conversation-with-cory-wallace [Video: https://youtu.be/Kx2JEE_tYq0]Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Spotlight Brand Story: https://www.studioc60.com/content-creation#spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Informed buyers believe they don't need sellers - and in many cases, they're right. In this episode, Sarah Branfman, Global VP of ISV Sales & GTM at Databricks, explains how buying behavior has fundamentally shifted, why traditional selling fails in complex B2B sales, and what elite sellers must do to create value buyers can't get on their own. Explore more insights: www.globalperformancegroup.com Timestamps: 00:00 – “We don't need a rep anymore.” The hard truth 02:45 – From ballerina to VP: Sarah's nonlinear career path 06:18 – The rise of the informed buyer in complex B2B sales 09:40 – How modern buyers want to buy (and why sellers resist it) 12:52 – Comfort-zone selling and losing deals you could have won 18:10 – Value-based selling, decision-making psychology, and the cost of inaction 20:55 – Ruthless qualification vs. the hope-based pipeline 26:30 – Discovery never ends: re-qualifying through the buying journey 29:02 – Provocative questioning and generating unconsidered needs 33:40 – The 3 traits of elite sellers: drive, curiosity, coachability Modern selling isn't about pressure — it's about enabling informed decision-making through sharper sales discovery, stronger sales enablement, and real business insight. In this episode, Harry Kendlbacher sits down with Sarah, to explore the mindsets and behaviors top sellers use to stay relevant and win in today's complex B2B landscape. You'll learn: – Why buyers feel they don't need sellers – How to win them back with insight-driven conversations – How elite sellers qualify and re-qualify throughout the buying journey – How decision-making psychology and cost of inaction shape urgency Key Takeaways: • Buyers aren't distrustful — they're independent. Sellers must add value beyond what buyers can research or ask AI. • In complex B2B sales, discovery and qualification never end — every new stakeholder resets the process. • The cost of inaction is often a stronger driver of urgency than ROI. • Value-based selling works only when sellers provoke new insights buyers haven't considered. • Elite sellers share three traits: relentless drive, deep curiosity, and coachability. About Guest: Sarah Branfman is the Global VP of ISV Sales & Go-To-Market at Databricks, where she leads strategic partnerships with the world's leading software and data companies. With deep experience in hyper-growth environments like MongoDB and Databricks, Sarah brings a modern, practical perspective on selling to the informed buyer in complex B2B environments. Connect with Sarah on LinkedIn: https://www.linkedin.com/in/sarahbranfman/ If this episode sparked new thinking, share it with your team. Subscribe for weekly insights on modern selling, leadership, and performance. Explore more at www.globalperformancegroup.com

Marc Barnes believes that AI chatbots are evil, and that having a faux conversation with AI chatbots is wrong. Joseph Hobbs, Senior Solution Architect at Databricks, disagrees. In this podcast, they discuss the nature of conversation, how AI imitates conversation, and the Catholic response to AI Chatbots.

Soham Mazumdar, CEO and Co-Founder of WisdomAI, discusses how organizations can break free from the "drowning in data but starving for insights" paradox that plagues modern enterprises. We explore his journey from Google's TeraGoogle project to co-founding and scaling Rubrik through its $5.6 billion IPO, and why he left that success to build an agentic AI approach to Business Intelligence (BI) that transforms how businesses extract value from their data investments.SHOW: 971SHOW TRANSCRIPT: The Cloudcast #963 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WisdomAI websiteTopic 1 - Welcome to the show, Soham. We overlapped briefly at Rubrik. Give everyone a quick introduction and tell everyone a bit about your time at Google prior to RubrikTopic 2 - You helped scale Rubrik from inception to a $5.6 billion IPO in 2024. What was the "aha moment" that made you leave that success to tackle the enterprise data analytics problem with WisdomAI?Topic 3 - Let's define the core problem. Organizations invest heavily in modern data platforms - Snowflake, Databricks, etc. - but there is the term "drowning in data but starving for insights." What's broken in the traditional BI stack that prevents business users from getting answers?Topic 4 - How do agentic AI and BI fit together? WisdomAI introduces the concept of "Knowledge Fabric" and agentic data insights. Break this down for us - how does this fundamentally differ from traditional dashboards and BI tools?Topic 5 - One of the biggest challenges with GenAI in enterprise settings is hallucination. You've emphasized that WisdomAI separates GenAI from answer generation. How does your approach tackle this critical trust issue?Topic 6 - Let's talk about data integration complexity. Your platform works with both structured and unstructured data - Snowflake, BigQuery, Redshift, but also Excel, PDFs, PowerPoints. How do you handle this "dirty" data reality that most enterprises face?Topic 6a - With so much data, how do most organizations get started? What's a typical use case for adoption?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

Dhanji R. Prasanna is the chief technology officer at Block (formerly Square), where he's managed more than 4,000 engineers over the past two years. Under his leadership, Block has become one of the most AI-native large companies in the world. Before becoming CTO, Dhanji wrote an “AI manifesto” to CEO Jack Dorsey that sparked a company-wide transformation (and his promotion to CTO).We discuss:1. How Block's internal open-source agent, called Goose, is saving employees 8 to 10 hours weekly2. How the company measures AI productivity gains across technical and non-technical teams3. Which teams are benefiting most from AI (it's not engineering)4. The boring organizational change that boosted productivity even more than AI tools5. Why code quality has almost nothing to do with product success6. How to drive AI adoption throughout an organization (hint: leadership needs to use the tools daily)7. Lessons from building Google Wave, Google+, and other failed products—Brought to you by:Sinch—Build messaging, email, and calling into your product: https://sinch.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Dhanji R. Prasanna:• LinkedIn: https://www.linkedin.com/in/dhanji/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Dhanji(05:26) The AI manifesto: convincing Jack Dorsey(07:33) Transforming into a more AI-native company(12:05) How engineering teams work differently today(15:24) Goose: Block's open-source AI agent(20:18) Measuring AI productivity gains across teams(21:38) What Goose is and how it works(32:15) The future of AI in engineering and productivity(37:42) The importance of human taste(40:10) Building vs. buying software(44:08) How AI is changing hiring and team structure(53:45) The importance of using AI tools yourself before deploying them(55:13) How Goose helped solve a personal problem with receipts(58:01) What makes Goose unique(59:57) What Dhanji wishes he knew before becoming CTO(01:01:49) Counterintuitive lessons in product development(01:04:56) Why controlled chaos can be good for engineering teams(01:08:07) Core leadership lessons(01:13:36) Failure corner(01:15:50) Lightning round and final thoughts—Referenced:• Jack Dorsey on X: https://x.com/jack• Block: https://block.xyz/• Square: https://squareup.com/• Cash App: https://cash.app/• What is Conway's Law?: https://www.microsoft.com/en-us/microsoft-365-life-hacks/organization/what-is-conways-law#• Goose: https://github.com/block/goose• Gosling: https://github.com/block/goose-mobile• Salesforce: https://www.salesforce.com/• Snowflake: https://www.snowflake.com/• Claude: https://claude.ai/• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• OpenAI: https://openai.com/• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Llama: https://www.llama.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Top Gun: https://www.imdb.com/title/tt0092099/• Lenny's vibe-coded Lovable app: https://gdoc-images-grab.lovable.app/• Afterpay: https://github.com/afterpay• Bitkey: https://bitkey.world/• Proto: https://github.com/proto-at-block• Brad Axen on LinkedIn: https://www.linkedin.com/in/bradleyaxen/• Databricks: https://www.databricks.com/• Carl Sagan's quote: https://www.goodreads.com/quotes/32952-if-you-wish-to-make-an-apple-pie-from-scratch• Google Wave: https://en.wikipedia.org/wiki/Google_Wave• Google Video: https://en.wikipedia.org/wiki/Google_Video• Secret: https://en.wikipedia.org/wiki/Secret_(app)• Alien Earth on FX: https://www.fxnetworks.com/shows/alien-earth• Slow Horses on AppleTV+: https://tv.apple.com/us/show/slow-horses/umc.cmc.2szz3fdt71tl1ulnbp8utgq5o• Fargo TV series on Prime Video: https://www.amazon.com/Fargo-Season-1/dp/B09QGRGH6M• Steam Deck OLED display: https://www.steamdeck.com/en/oled• Doc Brown: https://backtothefuture.fandom.com/wiki/Emmett_Brown—Recommended books:• The Master and Margarita: https://www.amazon.com/Master-Margarita-Mikhail-Bulgakov/dp/0802130119• Tennyson Poems: https://www.amazon.com/Tennyson-Poems-Everymans-Library-Pocket/dp/1400041872/Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

In this episode of Real Talk with Anant Veeravalli, the discussion revolves around the evolving data landscape and the necessity for strategic partnerships to achieve holistic measurement. The team unpacks the importance of ethical data sourcing, privacy compliance, and the utilization of clean room environments like Snowflake and Databricks to bridge data gaps. Enabling secure and scalable data connectivity and facilitating real-time data sharing is key for brands to derive meaningful intelligence, including predictive modeling and AI-driven insights. This episode is essential listening for anyone focused on governance, security, and future-proofing data systems.Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

Disciplined, purpose-driven innovation, anchored in governance, data, and the human experience, beats shiny-object hype.In this mega-episode, Lisa Fry, Chief Strategy & Innovation Officer at SCP Health, discusses “purposeful innovation” that reduces clinician burden and elevates patient experience: ED-volume prediction to align coverage, early pilots of ambient scribing, and patient-preferred models like hospital-at-home. She explains the guardrails, an enterprise architecture review board, commitments to core platforms, and stage-gated pilots with predefined success metrics, to avoid the “tyranny of the urgent” and scale only what works. Nancye Feistritzer, DNP, RN—VP, Center for Care Delivery & Innovation at Emory Healthcare, talks about how bold initiatives, including the Apple hospital work and implementing Epic on Apple devices, succeed only when they explicitly align with an organization's strategy, mission, and values. Nick Yaitsky, Board Member for TAG Digital Health, urges outcome-first AI roadmaps: accept that healthcare data is imperfect, mitigate bias by fine-tuning models to local populations and even individual patients, and build trust in the same way we came to trust GPS, through consistent, measurable results and governance. Olga Ryzhikova, Founding Partner at Kepler Team, tackles adoption by starting integration where clinicians work (SMART on FHIR/SSO), designing modern user experiences, and favoring ambient, low-click workflows so tools remain in use. Ron Strachan, Global Healthcare CIO Advisor, addresses rural access, noting that resilient, low-bandwidth virtual care and platform economies can “meet patients where they are.” His own brain-tumor journey underscores how imaging precision and reliable infrastructure can change outcomes. Finally, Wes Whitaker, AVP of Growth Strategy & Data Analytics, shows population health at scale: unifying EHR, eligibility, claims, and ADT into a modern cloud/Databricks stack, then applying predictive models to anticipate ER visits, target outreach, drive attribution, and prove ROI, while tightening security with role-based access. Together, their message is clear: govern hard, integrate early, pilot fast, measure relentlessly, and scale empathetically. Tune in and learn how to innovate with rigor, scale with empathy, and deliver measurable value!ResourcesConnect with Lisa Fry on LinkedIn here.Follow SCP Health on LinkedIn here and visit their website here.Follow and connect with Nancye Feistritzer on LinkedIn.Learn more about Emory Healthcare on LinkedIn and their website.Connect with and follow Nick Yaitsky on LinkedIn.Discover more about the TAG Digital Health Society on LinkedIn and explore their website.Follow and connect with Olga Ryzhikova on LinkedIn.Learn more about the Kepler Team on their LinkedIn and explore their website.Connect with Ron Strachan on LinkedIn here.Explore Zoom's website and learn more about them on their LinkedIn.Follow and connect with Wes Whitaker on LinkedIn.Discover more about Premise Health on their LinkedIn and visit their website.

Monzy Merza (@monzymerza, CEO/Founder @Crogl) talks about build a next-generation Enterprise SOC by leveraging AI to stay ahead of Cybersecurity threats.SHOW: 969SHOW TRANSCRIPT: The Cloudcast #969 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:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Crogl websiteTechCrunch articleForbes ArticleIntellyx ArticleLast WatchDog ArticleTopic 1 - Welcome to the show, Monzy. Give everyone a brief introduction and tell us about your unique journey from government research to Splunk to Databricks to founding Crogl.Topic 2 - Let's start with the current state of cybersecurity and AI. We're seeing headlines about AI being the top cybersecurity concern for 2025, even overtaking ransomware. From your perspective, what's driving this shift and why should organizations be paying attention to the intersection of cybersecurity and AI?Topic 3 - You've described Crogl as an "Iron Man suit" for security analysts. That's a compelling metaphor. Can you break down what you mean by that and how your approach differs from the traditional "reduce alerts" mentality that most vendors have been pushing?Topic 4 - Let's talk about your "knowledge engine" and what you call an “AI for the Enterprise SOC”. You're using compound AI systems with LLMs, smaller models, and knowledge graphs. This sounds quite different from vendors who are just "bolting on" LLMs to existing tools. Walk us through this architectural decision and why it matters.Topic 5 - The cybersecurity industry is experiencing massive alert fatigue - 4,500 alerts per day, with analysts only able to investigate 8-25 of them. Your philosophy is "every alert should be analyzed" rather than filtering them out. That seems counterintuitive to what the market has been doing. How does your autonomous investigation approach actually work in practice?Topic 6 - Where do you see this evolution heading, and what are the implications for SOC teams and security practitioners? Are we heading toward fully autonomous SOCs?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodI

Gorkem Yurtseven is the co-founder and CEO of fal, the generative media platform powering the next wave of image, video, and audio applications. In less than two years, fal has scaled from $2M to over $100M in ARR, serving over 2 million developers and more than 300 enterprises, including Adobe, Canva, and Shopify. In this conversation, Gorkem shares the inside story of fal's pivot into explosive growth, the technical and cultural philosophies driving its success, and his predictions for the future of AI-generated media. In today's episode, we discuss: How fal pivoted from data infrastructure to generative inference fal's explosive year and how they scaled Why "generative media" is a greenfield new market fal's unique hiring philosophy and lean

In this episode we are discussing the groundbreaking partnership between SAP Business Data Cloud and SAP Databricks. We discuss how SAP BTP is driving AI-first enterprise transformation through seamless SAP Datasphere integration, zero-copy data sharing, and advanced AI/ML workflows. Also, hear how Business Data Fabric and SAP Business AI are enabling future-ready enterprise IT, making it easier than ever to turn enterprise data into real business value. From hands-on use cases like cash flow forecasting, margin analysis, and attrition analysis to practical tips for engineers and data scientists, you'll get a front-row seat to digital transformation outcomes that matter.

In this episode we are discussing the groundbreaking partnership between SAP Business Data Cloud and SAP Databricks. We discuss how SAP BTP is driving AI-first enterprise transformation through seamless SAP Datasphere integration, zero-copy data sharing, and advanced AI/ML workflows. Also, how Business Data Fabric and SAP Business AI are enabling future-ready enterprise IT, making it easier than ever to turn enterprise data into real business value. From hands-on use cases like cash flow forecasting, margin analysis, and attrition analysis to practical tips for engineers and data scientists, you'll get a front-row seat to digital transformation outcomes that matter.

Reed Smith's Jason Garcia, Gerard Donovan, and Tyler Thompson are joined by Databricks' Suchismita Pahi and Christina Farhat for a spirited discussion exploring one of the most urgent debates of our era: Should AI be regulated now, or are we moving too fast? Settle in and listen to a dynamic conversation that delves into the complex relationship between innovation and regulation in the world of artificial intelligence.

Ben Horowitz founded Loudcloud in the middle of the dot-com bust and sold it for $1.6 billion, then led Andreessen Horowitz from its founding to $46 billion in committed capital. Ali Ghodsi co-founded Databricks, stepped in as CEO during a crisis, and led it to a valuation of over $100 billion.In this episode of “Boss Talk”, Ben and Ali join a16z General Partners Sarah Wang and Erik Torenberg to share founder war stories, how to hire and make deals, how to keep culture intense without burning employees out, and why founders should raise their ambitions even higher. ResourcesFollow Ali on X: https://x.com/alighodsiLearn more about Databricks: https://www.databricks.com/Follow Ben on X: https://x.com/bhorowitzFollow Sarah on X: https://x.com/sarahdingwangFollow Erik on X: https://x.com/eriktorenberg Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Resources:Find a16z on X: https://x.com/a16zSubscribe to a16z on Substack: https://a16z.substack.com/Find a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenberg Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Chris Degnan is the former Chief Revenue Officer at Snowflake, where he was instrumental in scaling the company from less than $1M in ARR to over $3B in annual revenue. He joined as the first sales hires and built Snowflake's go-to-market engine from scratch, growing the team from to more than 6,000 globally. Under his leadership, Snowflake became one of the fastest-growing enterprise software companies in history, achieving a record-breaking IPO in 2020. AGENDA: 04:34 How to Build a Sales Team from Scratch 07:49 How to Hire and Evaluate Sales Leaders 15:23 Four Big Lessons Scaling Snowflake to $3BN ARR 31:30 Comparing Snowflake and Databricks: What Databricks Did Better? 35:26 How to Manage Sales Team Morale in Competitive Markets 43:53 Why Customer Success is BS and What To Do With It 48:31 How Every Sales Leader Needs to Change in An AI World 49:37 Biggest Reflections on Sales Leadership 54:38 Quick Fire Questions and Final Thoughts   20Sales: Scaling Snowflake from $0-$3BN in ARR | Snowflake vs Databricks: My Biggest Lessons | Why Customer Success is BS and What Replaces It with Chris Chris Degnan

Nike's Principal Data Engineer Ashok Singamaneni joins Benjamin and Eldad to discuss his open-source data quality framework, Spark Expectations. Ashok explains how the tool, which was inspired by Databricks DLT Expectations, shifts data quality checks to before the data is written to a final table. This proactive approach uses row-level, aggregation-level, and query data quality checks to fail jobs, drop bad records, or alert teams - ultimately saving huge costs on recompute and engineering effort in mission-critical data pipelines.

Mal Vivek, founder and CEO of Zeb, discusses the rapid growth of her firm, which has become a leader in digital and AI transformation. Zeb has established itself as one of the fastest-growing AWS Premier Tier and Databricks partners, primarily by addressing the challenges small and medium businesses face in implementing AI solutions. Vivek emphasizes the importance of understanding each client's unique business model and tailoring AI solutions to meet their specific needs, rather than offering a one-size-fits-all approach.Vivek highlights the significant shift in lead generation strategies among their clients, who are increasingly utilizing AI to create more targeted and high-quality leads. This change reflects a broader trend where businesses are moving away from traditional lead lists and instead developing custom AI systems that align with their ideal customer profiles. Additionally, she notes the importance of training and upskilling employees through AI, enabling them to access vast amounts of knowledge quickly and efficiently.The conversation also touches on the concept of an "AI-first strategy," which varies in definition across different organizations. For Zeb, this strategy involves identifying repetitive tasks that can be enhanced through AI while ensuring that the human touch remains integral to the customer experience. Vivek stresses the need for restraint in digital transformation, arguing that not every process should be automated, especially when personal interaction is a key component of a business's success.Finally, Vivek discusses the evolving business models driven by AI, including a shift towards value-based pricing. She explains how Zeb structures its pricing around measurable outcomes and mutual agreements on success metrics, ensuring that both the firm and its clients benefit from the results achieved. This approach not only fosters accountability but also aligns the interests of Zeb with those of its customers, ultimately driving better business outcomes. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us a textThe enterprise software ecosystem continues to evolve rapidly as vendors double down on AI, automation, and data-driven orchestration across business functions. Nintex unveiled new generative AI capabilities to enhance business automation, while Circana introduced its Liquid Supply Chain solution to drive agility and responsiveness in complex networks. CloudBolt extended its optimization capabilities to Kubernetes through the acquisition of StormForge, signaling a stronger focus on cloud efficiency. Kinaxis partnered with Databricks to accelerate AI-powered supply chain orchestration and also announced a collaboration with Infor, further expanding its ecosystem reach. Rootstock's Spring '25 release reimagined the modern ERP experience for manufacturers, and Tempo launched a Strategic Portfolio Management platform to strengthen business alignment. Meanwhile, Tricentis rolled out new testing innovations in its spring update, Velixo secured Series A funding from Elephant to fuel growth, and FloQast introduced auditable AI agents to help finance teams bridge the growing talent gap—illustrating how innovation is reshaping every layer of the enterprise stack.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform. 

Join Accenture's Chief AI Officer Lan Guan and Naveen Rao, Former VP of AI at Databricks, for an open and engaging conversation about the realities of scaling AI within large organizations. Hear about Databricks journey from pioneering the first AI chip company to shaping AI strategy and discover the technical hurdles and organizational complexities involved in deploying AI at scale.

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

Plus: OpenAI and Databricks strike a $100 million deal to sell AI agents. U.S. senators send letters to big tech companies demanding information on H-1B visa usage. Nvidia-backed AI startup Nscale raises $1.1 billion for data-center rollout. Zoe Kuhlkin hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Amazon has reached a $2.5 settlement with the FTC over accusations of deceptive practices locking consumers into Prime subscriptions. Plus, we talk to Databricks CEO Ali Ghodsi in an exclusive interview on the company's $100M OpenAI deal. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"I think the biggest trap to potentially fall into is, "Hey, it's moving so fast, so much is changing. Let's just wait it out." Completely the wrong approach. You just gotta get started." Nick Eayrs from Databricks "As tech people within the shipping industry, how do we explain, how do we make it accessible to all our users? So that's where we came up with the idea of a data supermarket, with in mind really the target of enabling self-service for our business. So by giving the analogy of a supermarket, it was much easier at the beginning to explain our business." - Simon Fassot from Hafnia Fresh out of the studio, Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks, and Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia, join us to explore how data intelligence is transforming enterprise AI across diverse industries in Asia. Nick explained the fundamental distinction between general intelligence and data intelligence - emphasizing how enterprises gain competitive advantage by training AI on their proprietary data rather than public knowledge. Nick showcased customer success stories including Standard Chartered Bank and TechComBank and shared his perspectives on how senior executives can take advantage of AI by moving fast rather than wait and see. Last but not least, Nick offered what great would look like for Databricks in Asia Pacific and Japan in serving their customers. Adding the lens of the customer, Simon shared Hafnia's transformation from legacy SQL Server systems to a unified Databricks architecture serving their global shipping operations and elaborated on how the company is breaking down silos with their data supermarket and "Marvis" AI copilot for maritime operations based on retrieval augmented generation. This is Part 1 from Databricks Data + AI Event Singapore.  Episode Highlights: [00:00] QOTD by Nick Eayrs and Simon Fassot [00:49] Introduction: Nick Eayrs from Databricks [03:32] Customer obsession means deeply understanding their business context [05:22] Data intelligence versus artificial general intelligence explanation begins [06:42] AI trained on your data creates competitive advantage [08:17] Only 15% of companies have correct AI infrastructure ready [11:17] Don't wait for AI perfection, just get started now [12:30] Agent Bricks simplify AI development using natural language [13:49] Standard Chartered Bank cybersecurity use case with SIEM [16:22] TechCom Bank in Vietnam customer brain with 12,000 customer attributes [18:32] Shared responsibility model for ethical AI deployment [25:24] Asia Pacific psychology focuses on future, not past [26:28] Most important question: How do you get started? [30:18] What does great look like for Databricks? [33:16] Introduction: Simon Fassot from Hafnia [35:18] How Hafnia transformed to full cloud architecture centralizes data through Databricks [36:28] Self-service access needed for 300 onshore, 4000 vessel employees [37:00] Three user types: operations, business intelligence, domain experts and Use Cases for Hafnia [41:32] Unity catalog controls data quality for AI cases [42:21] Two-phase Gen AI: ingest unstructured, then consume data [44:25] How to implement Generative AI: One bad AI answer loses all user trust [45:31] How reports in Hafnia use RAG embedded in workflows [46:47] Data supermarket analogy simplifies self-service for business [48:39] Marvis AI personalizes Gen AI within company context [49:46] Neo4j partnership adds graph capabilities to ecosystem [53:33] DNA Port platform unifies scattered dashboards and applications [54:22] Databricks enables focus on business value over operations Profiles: Nick Eayrs, Vice President of Field Engineering, Asia Pacific & Japan at Databricks LinkedIn: https://www.linkedin.com/in/nick-eayrs/ Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia LinkedIn: https://www.linkedin.com/in/simon-fassot-68b95135/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

Welcome to episode 323 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt and Ryan are in the studio tonight to bring you all the latest in cloud and AI news! This week we have a close call from Entra, some DeepSeek news, Firestore, and even an acquisition! Make sure to stay tuned for the aftershow – and Matt obviously falling asleep on the job. Let's get started!  Titles we almost went with this week When One Key Opens Every Door: Microsoft's Close Call with Cloud Catastrophe Bedrock Goes Qwen-tum: Alibaba's Models Join the AWS Party DeepSeek and You Shall Find V3.1 in Bedrock GPUs of Unusual Size? I Don't Think They Exist (Narrator: They Do) Kubernetes Without the Kubernightmares Firestore and Forget: AI Takes the Wheel SCPs Get Their Full License: IAM Language Edition Do What I Meant, Not What I Prompted Atlassian Pays a Billion to DX the Developer Experience Entra at Your Own Risk: The Azure Identity Crisis That Almost Was Oracle Intelligence: The AI Nobody Asked For Wisconsin Gets Cheesy with AI: Microsoft’s Dairy State Datacenter  Azure Opens the Data Floodgates (But Only in Europe) PostgreSQL Gets a Security Blanket and Won’t Share Its TEEs Microsoft’s New Cooling System Has Veins Like a Leaf and Runs Hotter Than Your Gaming PC Azure Gets Cold Feet About Hot Chips, Decides to Go With the Flow AI Is Going Great – Or How ML Makes Money  00:58 Google and Kaggle launch AI Agents Intensive course Google and Kaggle are launching a 5-day intensive course on AI agents from November 10-14.  This follows their GenAI course that attracted 280,000 learners, with curriculum covering agent architectures, tools, memory systems, and production deployment. The course focuses on building autonomous AI agents and multi-agent systems, which represents a shift from traditional single-model AI to systems that can independently perform tasks, make decisions, and interact with tools and APIs. This development signals growing enterprise interest in AI agents for cloud environments, where autonomous systems can manage infrastructure, optimize resources, and handle complex workflows without constant human intervention. The hands-on approach includes codelabs and a capstone project, indicating Google’s push to democratize agent development skills as businesses increasingly need engineers who can build production-ready autonomous systems. The timing aligns with major cloud providers racing to offer agent-based services, as AI agents become essential for automating cloud operations, customer service, and business processes at scale. Interested in registering? You can do that here.  Cloud Tools  03:21 Atlassian acquires DX, a developer productivity platform, for $1B

In this episode, Bob Evans chats with Gerrit Kazmaier, President, Products and Technology, Workday. They explore how Workday is evolving into a platform company, the role of AI agents in reshaping enterprise workflows, and why trust, accuracy, and extensibility are key to future-ready business solutions. Kazmaier also discusses Workday's approach to ecosystem innovation and composable ERP.Workday's AI FutureThe Big Themes:AI at the Core: Workday is reshaping how enterprises operate by embedding AI into the core of their business processes. This isn't about slapping AI onto legacy systems as a side panel or assistant. It's about redefining how people work, with AI-led experiences, purpose-built agents, and intelligent orchestration. From onboarding to payroll, Workday is transforming each layer of the enterprise with tools that understand business context.Open Platform and Data Integration: Customers demand flexibility and interoperability. Workday is responding by making openness a foundational principle — not just a tagline. Through partnerships with Snowflake, Databricks, Microsoft, and Salesforce, Workday ensures that enterprise data is not locked away but is seamlessly integrated across platforms. Whether you're building a forecasting model in Snowflake or enriching financials in Workday, the data now flows freely.Workday's Focus: Kazmaier referenced a quote: “Technology evolves from primitive to complex to simple.” Today's ERP systems sit in the “complex” phase — bloated, hard to manage, and expensive. Workday's goal is to move ERP into the “simple” era. That means intuitive, intelligent systems that just work — powered by AI, open by design, and personalized for each user. The aim is to empower CEOs to drive outcomes, and employees to thrive at work, without wading through process chaos or outdated tools.The Big Quote: “I frankly think that today, the default is that vendors have a slew of generic agents, they hand them over to their customers, and wish them good luck in figuring out how it's supposed to work. When we say, open AI platform, I talk about purpose-built frameworks and tools like our new Agent Builder . . . so that you can seamlessly compose, you know, workflows in the definition and context of your business and expect them to work with high accuracy and reliability, without becoming an AI expert yourself."Learn more:Follow Gerrit on LinkedIn, and read more about Workday and agentic AI. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore Workday's bold entry into the ERP space and share insights from my interview with Gerrit Kazmaier on how AI and data are reshaping enterprise software.Highlights00:24 — Last week, 30,000 people were at Workday's big Rising event in San Francisco. I had a chance to sit down with Product and Technology President Gerrit Kazmaier to talk about his views on how the Workday approach to ERP is going to be different from what we see from other players.01:08 — Kazmaier brings enterprise applications, data, data cloud, hyperscale — all those different backgrounds, expertise, and experiences — to Workday. And now he's taken a very aggressive agenda in these first six or seven months, leading up to this notion of ERP. Workday moved into the ERP space with a lot of new introductions, agents, and more at last week's Rising event.01:48 —And a couple of things that Kazmaier talks about: Kazmaier believes the ERP concept is right — giving business leaders a chance to see what's going on inside their companies from multiple perspectives with fully integrated applications. But he feels that the tools have been outdated, too difficult, too slow, too fragmented.02:08 —So Workday, although for its first 20 years had avoided getting into ERP, now feels that the time is right to give huge value to customers. Also, for the Data Cloud, it's now got partnerships to enhance the way it's able to give customers better use and value from the data they have. These include partnerships with Databricks, Snowflake, Microsoft, and Salesforce.02:54 —So that full interview with Gerrit Kazmaier, President of Products and Technology at Workday, is coming up here. It's got not just him in a new role, but also Rob Enslin, over the last several months, as Chief Commercial President and Chief Commercial Officer, and a new Chief Technology Officer, Peter Bayless, who came to Workday from Google Cloud. Visit Cloud Wars for more.

Ashu Garg has backed companies like Databricks, Turing, Cohesity, Jasper, and Eightfold.ai as General Partner at Foundation Capital. Over the years, he's seen multiple waves of innovation but in his words, nothing in the last 45 years comes close to the transformation AI is bringing right now.Ashu discusses how the next wave of AI products will be driven by combining reasoning with reinforcement learning, and cautions every startup building on top of foundation models: that their vendors will also be their competitors.He also talks about how agents are moving from simple copilots to autonomous workers, how the internet itself will have to be reinvented for an agentic world, and what happens when your agent can not only draft emails but also buy plane tickets or make payments on your behalf.We also get into the realities of building AI companies today: why your competitor isn't GPT-5 but GPT-7, where startups can actually outcompete big tech, whether geography still matters, and how relationships and access still shape outcomes in an age that feels completely digital.This is one of the most insightful conversations you'll hear on what it takes to build durable AI companies in this era and where the next generation of billion-dollar startups will come from.0:00- Trailer0:42 – Foundation models as biggest competitor of AI startups4:19 – Agents are visible; reasoning is underneath6:20 – The leap of AI from autonomous to automation9:27 – Why the internet must be reinvented for AI10:49 – What if agents act (and do payments) on your behalf? 13:06 – Is Ashu using agents for himself?13:54 – No tech shift in 45 years compares to today15:38 – Who is accountable for what your agent does?17:57 – Who has advantage: first-time or repeat founders?19:27 – Does geography matter for founders anymore?21:19 – Whose AI will become the user's default?25:44 – Where do startups have an edge in AI?28:25 – How can startups outdo their model providers31:21 – Does distribution still matter in the Agentic era?33:29 – Why experience and access will always matter35:36 – Startups today must compete with GPT-7, not GPT-537:09 – Why Dollars on talent poaching in AI makes sense42:20 – Are only 1,000 people at AI's cutting edge?43:32 – What does Ashu garg look for in a founder?45:15 – How to build more billion-dollar companies?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

Money flood - insane revenue and valuation growth, AI impacting every industry, Open AI and Microsoft deal, new time compute records are changing the game, the first AI government member, and more important AI news for the week ending on September 12 2025Is AI on the verge of world domination… or an economic meltdown?This week's AI headlines weren't about shiny new model releases and that's a good thing. It gave us time to zoom out and examine the billion-dollar chess game shaping our future.From OpenAI's $115B spend-fest to the first AI government cabinet member, and from Replit's code-writing agents to copyright lawsuits with a twist — this episode is a crash course in just how *wild* and *wide* AI's reach has become.Here's your witty but grounded executive summary of the week's most impactful AI news — handpicked and broken down by your host, Isar Meitis, with direct implications for how business leaders should think, adapt, and move.In this session, you'll discover:- OpenAI's capital-intensive moonshot and why it may still not be profitable in 2030- Microsoft's unexpected pivot: From exclusive OpenAI integration to paying AWS for Claude- The first AI cabinet member in Albania here's why it might be brilliant (or backfire)- AI-made movies & TV are no longer a fantasy, OpenAI is backing a full-length feature- Funding frenzy decoded: Databricks, Replit, Perplexity, and others are raising billions- "Thinking" AI that works for hours: How new models are pushing past past limitations- 5,000 AI podcasts a week for $1 each?! The scary-fascinating rise of mass-produced audio- FTC probes AI's influence on kids and what it means for regulation & trust- AI-powered AR glasses from Amazon — coming to delivery drivers and consumers near you- Duke gives GPT-4o to all students what this means for the future of higher education- Why Apple is strangely silent on AI this year, and what it could cost themGoogle Cloud AI Agent Handbook (PDF) - https://services.google.com/fh/files/misc/ai_agents_handbook.pdfAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this conversation from Lenny's Podcast, Ben Horowitz joins Lenny to discuss the psychological muscle every founder needs, why hesitation can be fatal for CEOs, when it's time to replace a founder, and how to normalize failure while building confidence. They also explore the Databricks founding story, investing in Adam Neumann after WeWork, whether AI is in a bubble, where the real opportunities lie, and Ben's work with the Paid in Full Foundation supporting hip-hop pioneers. The result is a candid look at leadership, product management, and what it takes to build enduring companies. Timecodes: 00:00 Introduction 00:22 The Psychology of Leadership & Decision-Making02:41 Leadership lessons from Shaka Senghor07.56 Struggle, Pain, and Growth as a CEO 10:15 Running toward fear and why hesitation kills companies19:35 Who shouldn't start a company22:36 The Databricks story: thinking bigger24:54 Managerial leverage and CEO psychology28:06 When founders should be replaced as CEOs31:20 Normalizing failure for CEOs37:57 Counterintuitive lessons about building companies42:31 “Good Product Manager/Bad Product Manager”48:21 Product managers as leaders51:16 Why a16z invested in Adam Neumann after WeWork56:23 Is AI in a bubble?01:02:43 The biggest opportunities in AI01:12:51 Why U.S. leadership in AI matters01:18:53 The Paid in Full Foundation for hip-hop pioneers01:23:18 Lightning round: book recommendations, products, and life mottos Resources: Find Ben on X: https://x.com/bhorowitzFind Ben on LinkedIn: https://www.linkedin.com/in/behorowitz/Watch more of Lenny's Podcast: https://www.youtube.com/@LennysPodcastCheck out Lenny's newsletter here: https://www.lennysnewsletter.com Stay Updated: Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX?si=3E8B3qT9TyiwAHJ7JnaKbgListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://twitter.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Send us a text00:00 - Intro00:51 - Klarna's $15.1B IPO + Up in Public Markets (as of Thu, Sep 11)01:51 - Cognition's $400M Raise at $10.2B Valuation02:43 - ElevenLabs' $100M Tender at Doubled $6.6B Valuation03:05 - Replit's $250M Funding at $3B Valuation04:05 - X Square Robot's $140M Raise, New Robot OS Released04:41 - Mistral Finalizes $1.5B Funding at $11.7B Valuation05:12 - Perplexity Finalizes $200M Round at $20B Valuation05:32 - Databricks >$4B ARR in Jul 2025, up 50% YoY 06:07 - Ramp's $1B ARR, +43% in 6 Months06:51 - SpaceX's $17B Spectrum Deal with EchoStar08:01 - Anduril's $1.26B of New Contracts09:06 - AlterEgo's Silent Sense Wearable Launch10:02 - OpenAI's $300B Oracle Data Center Deal10:39 - OpenAI + Microsoft Agree on Nonprofit to For-profit Shift11:05 - Thinking Machines' $2B Seed at $12B Valuation

Ben Horowitz is the co-founder of Andreessen Horowitz, Silicon Valley's largest and most influential venture capital firm, with over $46B in committed capital across multiple funds. He took Loudcloud public with just $2 million in revenue (dubbed “the IPO from hell”), sold it for $1.6 billion, and has backed companies from Facebook to Stripe to Airbnb to OpenAI to Databricks (now worth more than $100 billion). His management philosophy—forged through near-death experiences and refined through coaching hundreds of CEOs—contradicts most conventional startup wisdom.In our conversation, Ben shares:1. Why “founder mode” is half right and half dangerously wrong2. The story behind “Good Product Manager/Bad Product Manager” and why it went viral despite being written in anger3. Where the biggest AI startup opportunities remain4. Why you need to run toward fear, never away5. The one trait that predicts that a founder will fail as CEO6. Inside Paid in Full, Ben's nonprofit awarding pensions to pioneering hip-hop artists—Brought to you by:DX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyMiro—A collaborative visual platform where your best work comes to life: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/172439345/my-biggest-takeaways-from-this-conversation—Where to find Ben Horowitz:• X: https://x.com/bhorowitz• LinkedIn: https://www.linkedin.com/in/behorowitz/• Website: https://benhorowitz.com/• Andreessen Horowitz's website: https://a16z.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Ben Horowitz(04:09) Important leadership lessons from Shaka Senghor(10:15) Running toward fear and why hesitation kills companies(19:35) Who shouldn't start a company(22:36) The Databricks story: thinking bigger(24:54) Managerial leverage and CEO psychology(28:06) When founders should be replaced as CEOs(31:20) Normalizing failure for CEOs(37:57) Counterintuitive lessons about building companies(42:31) “Good Product Manager/Bad Product Manager”(48:21) Product managers as leaders(51:16) Why a16z invested in Adam Neumann after WeWork(56:23) Is AI in a bubble?(01:02:43) The biggest opportunities in AI(01:12:51) Why U.S. leadership in AI matters(01:18:53) The Paid in Full Foundation for hip-hop pioneers(01:23:18) Lightning round: book recommendations, products, and life mottos—References: https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Today on the AI Daily Brief: AI isn't just helping engineers anymore—it's writing nearly half the code at companies like Robinhood and Coinbase, with some leaders saying human-written code is now in the minority. We explore what this milestone means for software development, the rise of agentic coding tools, and why investors are pouring billions into the space. In the headlines: OpenAI's AI-powered feature film project, Microsoft's $17.4B cloud deal, and fresh moves from Databricks, 11Labs, and Anthropic.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

Connor Group's Jim Neesen goes in-depth on the IPO market, including one of his clients that debuted Wednesday: Klarna. He says the fintech company has a "great growth story" in one of the year's most-anticipated public debuts. Jim adds that 2025 is shaping up to be the best year for IPOs since 2021 and explains how the seeds of this year's "cherry blossoms" for the IPO spring were set in place. He tells investors to watch for debuts down the road from names like Databricks, Cerebras, and Stubhub.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Partners Group CIO Anastasia Amoroso joins for comprehensive market analysis. Databricks CEO Ali Ghodsi joins after the company announced some key revenue and AI milestones. Evercore Partners Chairman Emeritus Ralph Schlosstein discusses the heating M&A and IPO landscape. Eunice Yoon provides the latest China market perspective while Morningstar Analyst William Kerwin previews Apple's upcoming event and what it means for investors. 

Dave Herrald, Global Head of Cybersecurity GTM at Databricks, tells Jack about transforming security operations through modern data lake architectures and strategic AI implementation. He discusses the practical benefits of separating storage from compute, giving security teams direct control over data retention while maintaining operational flexibility. The conversation explores how organizations can move beyond traditional SIEM limitations by leveraging cost-effective data lake storage with advanced analytics capabilities. They touch on AI agents in security, where Dave advocates for focused agents over broad analyst replacement approaches. He also addresses common concerns about hallucinations, framing them as engineering challenges rather than insurmountable obstacles, and shares real-world examples of successful agent implementations. Topics discussed: Moving from traditional SIEM architectures to modern data lake approaches for cost-effective security analytics and data control. Implementing focused AI agents for specific security tasks like context gathering rather than attempting broad analyst replacement. Leveraging graph analytics for security operations including CMDB visualization, breach scoping, and vulnerability prioritization across enterprise environments. Addressing AI hallucinations through prompt engineering and proper context management rather than avoiding AI implementation entirely. Building detection capabilities using SQL and Python for analytics that provide supersets of traditional SIEM query languages. Creating normalization frameworks using standards like OCSF to enable consistent data analytics across diverse security data sources. Developing career resilience in security through mission-focused thinking, continuous AI learning, and building practical skills. Comparing modern AI agents to traditional SOAR platforms for automation effectiveness and maintenance requirements. Establishing data governance and access controls in security data lakes while maintaining operational flexibility and cost effectiveness. Listen to more episodes:  Apple  Spotify  YouTube Website

Marketing is changing forever.    In this episode of Eye on AI, host Craig Smith sits down with Chris O'Neill, CEO of GrowthLoop and board member at Gap, to explore how agentic AI and GrowthLoop's Compound Marketing Engine are transforming the way brands connect with their customers.   Chris shares how GrowthLoop applies AI on top of modern data clouds like Snowflake, BigQuery, and Databricks to automate audience targeting, personalize campaigns in real time, and accelerate experimentation loops.    He explains why speed and iteration matter more than ever, how companies like Allegro doubled their return on ad spend with GrowthLoop, and why the future of marketing belongs to brands that embrace agentic AI.   If you're a marketer, technologist, or business leader looking to stay ahead in the age of AI, this conversation is packed with practical insights you can't afford to miss. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Agenda: 00:00 – Databricks hits $100B: Bubble or just the beginning? 03:15 – Is Databricks actually undervalued at 25x revenue? 07:40 – Are we on the verge of the biggest IPO wave ever? 11:30 – Can Andreessen's Databricks bet return $30B+? 18:10 – Who really gets rich when mega-unicorns IPO? 19:30 – Is the return of Chamath's SPACs the ultimate bubble signal? 28:00 – Should OpenAI staff be cashing out billions in secondaries? 33:30 – Founder raises $130M… then walks away. Is this the new normal? 36:30 – Nubank's $2.5B profit: The best FinTech in the world? 48:00 – On Running at $15B: Can consumer brands still be VC-backed rockets? 52:00 – CoreWeave takes on $11B in debt: smart bet or ticking time bomb? 1:11:00 – Will AI spend really hit trillions—or is it all hype?  

Today's show:In this TWiST 500 double feature, Alex sits down with two breakout founders: Chalk's Marc Freed-Finnegan & Tollbit's Toshit Panigrahi!First, Chalk's CEO Marc Freed-Finnegan is tackling one of AI's biggest bottlenecks—data freshness. Instead of relying on stale batch jobs, Chalk delivers real-time pipelines for inference compute, automatically transpiling Python into C++/Rust so it can run blazing fast in production. Investors are calling it the ‘next Databricks'—and after hearing this convo, you'll see why.Then, Tollbit's CEO Toshit Panigrahi returns after raising a $24M Series A and signing up 1,400+ publishers. With RAG traffic exploding and robots.txt losing its teeth, their ‘bot paywall' could reshape how AI agents pay for the content they consume. Are we heading for a Spotify moment for data licensing?A must-watch if you care about the economics of AI, from data pipelines to publisher monetization.Timestamps:(0:00) Intro + sponsors(1:03) Alex tees up two Twist 500 interviews: Chalk & Tolbert(2:47) Why AI is shifting from training compute to inference compute(4:41) Data freshness & real-time inference explained(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:00) How Chalk transpiles Python into C++/Rust for speed(18:52) Chalk's business model, margins & $500M valuation(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(21:24) Show Continues…(28:02) Tollbit returns: $24M Series A & the rise of RAG bot traffic(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(31:41) Show Continues…(36:53) Robots.txt losing relevance & the case for bot paywalls(39:19)Publishers, AI agents & the future economics of the webSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Episode 729: Sam Parr ( https://x.com/theSamParr ) talks to Zapier founder Wade Foster ( https://x.com/wadefoster ) about how to build AI Agents. — Show Notes: (0:00) Intro (5:57) DEMO: Instant Dossier (10:49) Model Context Protocol (19:30) DEMO: Read Strategy memos like a Harvard MBA (29:13) DEMO: Inbox Zero Agent (36:00) Getting your team to use AI (40:00) DEMO: Employee fraud detector — Links: • Zapier - zapier.com • Claude - Claude.ai • Glean - https://www.glean.com/ • Databricks - https://www.databricks.com/ • Superwhisper - https://superwhisper.com/ • Wisprflow - https://wisprflow.ai/ • N8n - https://n8n.io/ — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano