Podcasts about Databricks

AI's increasing presence in the legal field is raising significant concerns, particularly regarding the accuracy of information generated by these systems. Judges have reported a notable rise in AI-generated inaccuracies, with 23 instances of fake legal citations identified since May 1st. Legal data analyst Damien Chartland has documented 120 cases where courts recognized AI's hallucinations, which include fabricated legal quotes and non-existent authorities. This trend indicates a shift in responsibility, as lawyers are now accountable for these errors, contrasting with previous instances where self-represented individuals were primarily at fault. The implications are serious, with courts imposing fines exceeding $10,000 for AI misuse.The impact of automation extends beyond the legal sector, as a recent report highlights the potential for AI to exacerbate the gender employment gap. In high-income countries, the risk of women facing job automation has risen to 9.6%, while the risk for men is significantly lower at 3.5%. Jobs traditionally held by women, such as administrative roles, are particularly vulnerable to automation. Experts warn that without substantial changes in the labor market, women may face increased challenges in securing stable employment, as their work often shifts toward household tasks rather than formal employment.In the tech industry, Databricks has revealed that 80% of new databases created on their NEON platform were generated by AI agents, showcasing the growing influence of non-developers in coding. This trend emphasizes the need for companies to adapt to remain competitive, focusing on optimizing products for visibility to large language models. Meanwhile, Zoom's CEO has begun using an AI avatar for quarterly earnings calls, raising questions about authenticity and trust in corporate communication. The use of AI avatars could level the playing field for small business leaders but also introduces risks such as impersonation and misuse.Finally, Qualcomm has challenged Apple's claims regarding the performance of its in-house C1 modem, asserting that it falls short compared to Qualcomm's existing technology. A study found that Android devices powered by Qualcomm outperformed the iPhone 16e in both download and upload speeds, particularly in urban environments. Despite these challenges, Apple aims for full-stack control over its technology, and while the initial performance may not meet expectations, the company is known for its ability to iterate and improve rapidly. This ongoing competition highlights the dynamic nature of the tech industry and the importance of innovation.  Four things to know today  00:00 The Hidden Costs of AI: Legal Fines, Workforce Disruption, and the Rise of Unchecked Automation in the Enterprise05:51 New AI Integrations From OpenAI, Salesforce, and GoTo Push Deeper Into MSP Value Chain—Control or Be Commoditized09:01 From Efficiency to Deception? Zoom's AI Avatar Sparks Questions About Corporate Authenticity and Accountability10:49 Apple's DIY Modem Underperforms Qualcomm—But Version One Shows the Game Plan Is in Motion  Supported by:https://www.huntress.com/mspradio/https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship 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

In this episode, Yext CEO Michael Walrath joins Sam, Asad, and AJ to talk about what comes after Google. With over two decades of experience leading and investing in internet businesses—including Right Media and Moat—Michael unpacks how AI is reshaping the way we search, discover, and interact with information online.He explains why the old rules of SEO no longer apply, how structured data and digital presence are becoming mission-critical, and what brands need to do now to stay visible in an AI-first world. Michael also shares candid insights on running a public company through market whiplash, how he thinks about signal vs. noise when allocating capital, and why he's choosing profitability over prediction.Thanks for tuning in!Join the revenue leaders redefining growth at Pavilion's CRO Summit 2025, which will be held on June 3rd at the Denver Art Museum. Register today.Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.

Tricks to Fine Tuning // MLOps Podcast #318 with Prithviraj Ammanabrolu, Research Scientist at Databricks.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractPrithviraj Ammanabrolu drops by to break down Tao fine-tuning—a clever way to train models without labeled data. Using reinforcement learning and synthetic data, Tao teaches models to evaluate and improve themselves. Raj explains how this works, where it shines (think small models punching above their weight), and why it could be a game-changer for efficient deployment.// BioRaj is an Assistant Professor of Computer Science at the University of California, San Diego, leading the PEARLS Lab in the Department of Computer Science and Engineering (CSE). He is also a Research Scientist at Mosaic AI, Databricks, where his team is actively recruiting research scientists and engineers with expertise in reinforcement learning and distributed systems.Previously, he was part of the Mosaic team at the Allen Institute for AI. He earned his PhD in Computer Science from the School of Interactive Computing at Georgia Tech, advised by Professor Mark Riedl in the Entertainment Intelligence Lab.// Related LinksWebsite: https://www.databricks.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Raj on LinkedIn: /rajammanabroluTimestamps:[00:00] Raj's preferred coffee[00:36] Takeaways[01:02] Tao Naming Decision[04:19] No Labels Machine Learning[08:09] Tao and TAO breakdown[13:20] Reward Model Fine-Tuning[18:15] Training vs Inference Compute[22:32] Retraining and Model Drift[29:06] Prompt Tuning vs Fine-Tuning[34:32] Small Model Optimization Strategies[37:10] Small Model Potential[43:08] Fine-tuning Model Differences[46:02] Mistral Model Freedom[53:46] Wrap up

Krithika Shankarraman was the first marketing hire at OpenAI and Stripe and led marketing at Retool. At OpenAI, she established marketing foundations for ChatGPT for consumers and enterprises, as well as their developer API platform. While at Stripe, she spent over eight years building and scaling their marketing function from scratch. An engineer turned marketer, Krithika brings a uniquely analytical approach to marketing. She currently serves as Entrepreneur in Residence at Thrive Capital, where she helps portfolio companies on all things marketing.What you will learn:1. Why do most marketing playbooks often fail, and what's a better way?2. Which marketing lever should I pull first?3. Why is trying to be better than competitors usually a losing strategy?4. How do I craft positioning that actually converts?5. What makes messaging stick with developers, enterprises, and consumers?6. What pricing experiments actually move revenue?7. What is working at OpenAI really like?8. Why does consistency and quality matter more than speed?—Brought to you by:Eppo — Run reliable, impactful experimentsAirtable ProductCentral—Launch to new heights with a unified system for product developmentLinkedIn Ads—Reach professionals and drive results for your business—Where to find Krithika Shankarraman:• X: https://x.com/krithix• LinkedIn: https://www.linkedin.com/in/krithix/• Website: https://krithix.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 Krithika(04:22) Early marketing lessons from OpenAI(11:17) Diagnosing marketing needs(15:06) The DATE framework and why being cheaper is a race to the bottom(17:11) Marketing strategies at Retool(22:29) Insights from marketing at Stripe(32:33) The importance of consistent marketing communication(39:55) Criteria for hiring a marketing expert(41:43) “Capital M” vs. “lowercase m” marketing(43:05) ChatGPT vs. Claude: market dominance(45:31) The future of AI and its societal impact(47:09) Work-life balance(48:41) Transitioning to Thrive(52:35) Career advice for marketers(55:00) The importance of taste and creativity in the AI era(01:00:04) AI product pricing(01:03:21) AI tools in marketing(01:05:17) Failure corner(01:08:46) Lightning round and final thoughts—Referenced:• OpenAI: https://openai.com/• Stripe: https://stripe.com/• Retool: https://retool.com/• Dropbox: https://www.dropbox.com/• Sam Altman talks about his business model: https://www.youtube.com/watch?v=pLnyjxgFxew• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.lennysnewsletter.com/p/the-art-and-science-of-pricing-madhavan• Pricing your SaaS product: https://www.lennysnewsletter.com/p/saas-pricing-strategy• Netflix: https://www.netflix.com/• Stripe Connect: https://stripe.com/connect• John Collison on X: https://x.com/collision• Patrick Collison on X: https://x.com/patrickc• Cristina Cordova on LinkedIn: https://www.linkedin.com/in/cristinajcordova/• Hackpad: https://en.wikipedia.org/wiki/Hackpad• Building Wiz: the fastest-growing startup in history | Raaz Herzberg (CMO and VP Product Strategy): https://www.lennysnewsletter.com/p/building-wiz-raaz-herzberg• Wiz: https://www.wiz.io/• Thrive Capital: https://thrivecap.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Claude: https://claude.ai/new• ChatGPT: https://chatgpt.com/• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Databricks: https://www.databricks.com/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• 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• April Dunford on product positioning, segmentation, and optimizing your sales process: https://www.lennysnewsletter.com/p/april-dunford-on-product-positioning• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Severance on AppleTV+: https://tv.apple.com/us/show/severance/• Granola: https://www.granola.ai/• Some people think AI writing has a tell—the em dash. Writers disagree: https://www.washingtonpost.com/technology/2025/04/09/ai-em-dash-writing-punctuation-chatgpt/—Recommended books:• Obviously Awesome: How to Nail Product Positioning So Customers Get It, Buy It, Love It: https://www.amazon.com/Obviously-Awesome-Product-Positioning-Customers/dp/1999023005• Circe: https://www.amazon.com/Circe-Madeline-Miller/dp/0316556327/—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. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Excited is overused This week, we recap Microsoft Build, Google I/O, and Java turning 30. Plus, more Vegemite talk and a discussion on whether tech presenters really need to tell us they're “excited.” Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/4ar2nzlx3gw?si=pee9R6HbHN06etA2) 520 (https://www.youtube.com/live/4ar2nzlx3gw?si=pee9R6HbHN06etA2) Runner-up Titles We all need choices Vegans are against everything The problem is you shouldn't be watching keynotes You're giving the black box too much responsibility What are you going to do? Some more stuff they announced that I don't want They're excited about that Hopefully people are excited about that I'm happy for you I want to like it Nerd famous Can you just fix calendaring? It's too much I'm not going back to Java Rundown Will Matt try marmalade with his Vegemite for the full PBJ analogue. (https://bsky.app/profile/thescarletmanuka.bsky.social/post/3lpdioobdek27) MSFT Build Microsoft Build 2025: news and announcements from the developer conference (https://www.theverge.com/news/669382/microsoft-build-2025-news-ai-agents) Microsoft announces over 50 AI tools to build the ‘agentic web' at Build 2025 (https://venturebeat.com/ai/microsoft-announces-over-50-ai-tools-to-build-the-agentic-web-at-build-2025/) Findings from Microsoft's 3-week study on Copilot use (https://newsletter.getdx.com/p/microsoft-3-week-study-on-copilot-impact) Microsoft open sources Windows Subsystem for Linux (https://www.theregister.com/2025/05/19/microsoft_wsl_open_source/) Google I/O Everything announced at the Google I/O 2025 keynote (https://www.engadget.com/ai/everything-announced-at-the-google-io-2025-keynote-171514495.html?guccounter=1&guce_referrer=aHR0cHM6Ly9uZXdzLmdvb2dsZS5jb20v&guce_referrer_sig=AQAAAIewjPeuiVydyPgPtFxJyD7lYSE7rAY-BFM7JxN5AHvJvH_NrHmCURfrSuBK4HmB700OTDoGERdfPyB77mCb8_225GPcoppCXG4dl_bgGOA9j4E5Fprl_nUD__-69yEG5-W7vmXISAdJC2kBU3MSZErnX1TuyR1_gKfb5Hx_OdRs) Android XR is getting stylish partners in Warby Parker and Gentle Monster (https://www.theverge.com/google-io/670013/android-xr-warby-parker-gentle-monster-smart-glassesi-io-2025) Jules - An Asynchronous Coding Agent (https://jules.google/) Google Embraces MCP (https://thenewstack.io/google-embraces-mcp/?link_source=ta_bluesky_link&taid=682cf46509703200019ca4f3&utm_campaign=trueanthem&utm_medium=social&utm_source=bluesky) iOS 19 Will Let Developers Use Apple's AI Models in Their Apps (https://www.macrumors.com/2025/05/20/ios-19-apple-ai-models-developers/) NEW Claude MCP AI Super Agents (https://x.com/juliangoldieseo/status/1924148362653348232?s=46&t=zgzybiDdIcGuQ_7WuoOX0A) AWS Launches Its Take on an Open Source AI Agents SDK (https://thenewstack.io/aws-launches-its-take-on-an-open-source-ai-agents-sdk/) Java at 30: The Genius Behind the Code That Changed Tech (https://thenewstack.io/java-at-30-the-genius-behind-the-code-that-changed-tech/) Relevant to your Interests If AI is so good at coding … where are the open source contributions? (https://pivot-to-ai.com/2025/05/13/if-ai-is-so-good-at-coding-where-are-the-open-source-contributions/) Y Combinator says Google is a ‘monopolist' that has ‘stunted' the startup ecosystem (https://techcrunch.com/2025/05/13/y-combinator-says-google-is-a-monopolist-that-has-stunted-the-startup-ecosystem) Coinbase says customers' personal information stolen in data breach (https://techcrunch.com/2025/05/15/coinbase-says-customers-personal-information-stolen-in-data-breach/) DataBricks interview about Neon (https://www.axios.com/newsletters/axios-pro-rata-a6f0b4f0-fe7f-412f-bf4b-5978de02d604.html?chunk=1&utm_term=emshare#story1) OpenAI launches Codex, an AI coding agent, in ChatGPT (https://techcrunch.com/2025/05/16/openai-launches-codex-an-ai-coding-agent-in-chatgpt/) CarPlay Ultra, the next generation of CarPlay, begins rolling out today (https://www.apple.com/newsroom/2025/05/carplay-ultra-the-next-generation-of-carplay-begins-rolling-out-today/) Meta argues enshittification isn't real in bid to toss FTC monopoly case (https://arstechnica.com/tech-policy/2025/05/meta-says-no-proof-of-monopoly-power-wants-ftc-case-dismissed-mid-trial/) When Open Source Isn't: How OpenRewrite Lost Its Way (https://medium.com/@jonathan.leitschuh/when-open-source-isnt-how-openrewrite-lost-its-way-642053be287d) Wiz 2.0? Cyera's meteoric $6B valuation is turning heads across the cyber world | CTech (https://www.calcalistech.com/ctechnews/article/shavjm2g2) Steve Langasek, One of Ubuntu Linux's Leading Lights, Has Died (https://thenewstack.io/steve-langasek-one-of-ubuntu-linuxs-leading-lights-has-died/) Python: The Documentary [OFFICIAL TRAILER] (https://www.youtube.com/watch?v=pqBqdNIPrbo) Spain Orders Airbnb to Take Down 66,000 Rental Listings (https://www.nytimes.com/2025/05/19/business/airbnb-listings-spain.html) Detecting malicious Unicode (https://daniel.haxx.se/blog/2025/05/16/detecting-malicious-unicode/) Former Apple Design Guru Jony Ive to Take Expansive Role at OpenAI (https://www.wsj.com/tech/ai/former-apple-design-guru-jony-ive-to-take-expansive-role-at-openai-5787f7da) Apple's Worldwide Developers Conference kicks off June 9 (https://www.apple.com/newsroom/2025/05/apples-worldwide-developers-conference-kicks-off-june-9/) Valkey Turns One: How the Community Fork Left Redis in the Dust - Momento (https://www.gomomento.com/blog/valkey-turns-one-how-the-community-fork-left-redis-in-the-dust/?ck_subscriber_id=512834888&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]:%20Transform%20Away,%20as%20AWS%20Reverses%20Course%20-%2017665354) Nonsense Max (@StreamOnMax) on X (https://x.com/StreamOnMax/status/1922781490473034153) Uber to introduce fixed-route shuttles in major US cities designed for commuters (https://techcrunch.com/2025/05/14/uber-to-introduce-fixed-route-shuttles-in-major-us-cities-other-ways-to-save/) Conferences POST/CON 25 (https://postcon.postman.com/2025/), June 3-4, Los Angeles, CA, Brandon representing SDT. Register here for free pass (https://fnf.dev/43irTu1) using code BRANDON (https://fnf.dev/43irTu1) (limited to first 20 People) Contract-Driven Development: Unite Your Teams and Accelerate Delivery (https://postcon.postman.com/2025/session/3022520/contract-driven-development-unite-your-teams-and-accelerate-delivery%20%20%20%20%20%208:33) by Chris Chandler SREDay Cologne, June 12th, 2025 (https://sreday.com/2025-cologne-q2/#tickets) - Coté speaking, discount: CLG10, 10% off. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: MurderBot (https://www.google.com/aclk?sa=L&ai=DChcSEwi286yM0KiNAxUELNQBHStVDhgYABABGgJvYQ&co=1&gclid=Cj0KCQjwxJvBBhDuARIsAGUgNfjytNAoEF2oBZYZixtUoB15h1o0UU1SJRQp-A-GFE_i0FGLHOE5wY8aAoFzEALw_wcB&cce=1&sig=AOD64_3mm-tO-giOK7S1lj45fNCC7pw-6w&q&adurl&ved=2ahUKEwiFq6eM0KiNAxXI4ckDHc0cBAMQ0Qx6BAg9EAE)

Gopal Krishnamurthy is the founder and CEO of Lumel, which has a suite of products focused on enterprise performance management (EPM). Their apps allow users to plan, report, and analyze data using the modern native app framework vs. traditional SaaS on top of modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, and others. Lumel's products provide a full stack of integrated Planning, BI & data apps on the customers' data platforms. He grew his enterprise services company, Visual BI, to over 200 employees and sold that company to Atos in 2021, as he described in his first Practical Founders podcast interview in 2023. Gopal self-funded Lumel with a VC-sized investment and has grown it to over 300 employees in four years. Lumel is already at a revenue run rate of over $12M ARR and is growing fast. Lumel is building its apps using modern cloud data platforms, not siloed SaaS databases, allowing it to manage real-time data across applications. This bold new vision and architecture for enterprise software apps align with modern data approaches supporting AI, creating a billion-dollar opportunity for Lumel in the future. In this episode, Gopal also discusses: The challenge of transitioning from custom services to a no-touch product-led approach selling to enterprises Why VCs wouldn't understand their technology bet and why their patience is paying off What it's like to grow a fast-growth and innovative technology company as a bootstrapper Quote from Gopal Krishnamurthy, founder and CEO of Lumel “The main thing is it's a big market. It's not like we are just trying to get our first $10 million revenue. We have done that with Lumel already. We are looking at how we can get to a billion-dollar ARR business. That's the big, bold vision. We have invested tens of millions already, and we are almost profitable. “We think we can absolutely create a billion-dollar business based on our customer feedback and traction from 3,000 customers. So, it's not a question of product market fit. We worked with hundreds of our enterprise customers and perfected our data app products. “The other thing is that our products can work for smaller and medium-sized businesses because of our architecture and approach. It's completely horizontal: it works for all industries and all customers of all sizes.” Links Gopal Krishnamurthy on LinkedIn Lumel on LinkedIn Lumel website Power BI website The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com.

The Big Themes:SAP's Flywheel Strategy: SAP introduced a compelling flywheel model that integrates applications, data, and AI to drive enterprise momentum. The idea is that integrated applications generate structured data, which then feeds a robust AI layer. As these layers build on one another, they create a self-reinforcing cycle of productivity, insight, and innovation—a flywheel effect. Unlike Microsoft and ServiceNow, which predict the collapse of applications in favor of agents, SAP asserts that AI agents will enhance, not replace, applications.The Business Data Cloud and Databricks Partnership: A highlight of the event was SAP's Business Data Cloud (BDC), launched in partnership with Databricks. This foundational layer brings together internal SAP data and external sources like Moody's or climate models, enabling richer decision-making. SAP showcased real-world use cases, such as tariff fluctuation impact analysis across supply chains, to demonstrate the power of combining enterprise and contextual data.Prompt Optimizer and the End of Prompt Engineering: SAP's introduction of a “Prompt Optimizer” signals a shift in the AI interface landscape. Instead of manual prompt engineering, users will soon rely on AI to manage and optimize prompts across multiple large language models (LLMs), including ChatGPT, Claude, Gemini, and Perplexity. CTO Philipp Herzig even declared we're at “the beginning of the end” of prompt engineering.The Big Quote: "[Customers are] not ready to deploy AI and have that completely eliminate the need for apps. The data is just not there. So, maybe five years from now, let's see what progress we've made. But what's in the here and now is that customers are looking for applications."

Are you struggling to eliminate friction as data regulations heighten? Noah Levine and Adrian Bolosan join the conversation to discuss cost-efficient innovations in data modernization. Learn from Databricks experts about the zero data movement and the future of walled gardens. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

SuperAnnotate is revolutionizing how companies manage their AI training data with a comprehensive infrastructure platform. Having raised over $53 million in funding, SuperAnnotate has evolved from a specialized algorithm for autonomous vehicles to a centralized data hub that enables enterprises to collaborate with multiple service providers and internal teams. In this episode of Category Visionaries, we spoke with Vahan Petrosyan, CEO and Co-Founder of SuperAnnotate, who shared his journey from PhD student to tech founder and unpacked his vision for creating what he describes as "a database for training data" - similar to Databricks but specialized for AI training data. Topics Discussed: SuperAnnotate's evolution from algorithm to comprehensive data labeling infrastructure The journey from academic research to founding a tech startup How an early contract with an autonomous driving company validated their solution The strategic pivot from competing with service providers to creating a collaborative ecosystem The transformation of their go-to-market strategy to create stickier enterprise relationships SuperAnnotate's focus on building a centralized training data platform for enterprise AI The importance of automation and "SuperAnnotate agents" for AI data operations How customizability has enabled SuperAnnotate to support diverse generative AI use cases GTM Lessons For B2B Founders: Recognize when to stop competing and start collaborating: Vahan's most important go-to-market decision was shifting from competing with service providers to creating an infrastructure that enables collaboration. "That's one of the mindset shifts... we are trying to build an ecosystem with our partners, not really trying to compete with them," he explains. B2B founders should consider whether creating an ecosystem platform might be more valuable than directly competing in fragmented service markets. Solution engineers are crucial for enterprise AI sales: Vahan emphasized that "solution engineering is super important because as you're touching enterprise AI, your solution engineers are more or less the core part of your team." Without proper technical enablement, enterprise customers won't be able to implement complex AI solutions. B2B founders selling sophisticated technology should invest heavily in solution engineering capabilities. Build for adaptability in rapidly evolving markets: SuperAnnotate achieved 3x growth by making their platform "fully customizable to any use case." Vahan noted, "If tomorrow there will be a new agentic workflow, then we'll be able to support it." Rather than offering point solutions, B2B founders in emerging technology spaces should build adaptable platforms that can evolve with changing market needs. Passive fundraising often yields better results than active campaigns: Vahan shared a counterintuitive fundraising insight: "Whenever I was actively fundraising, I was doing something wrong." His most successful raises came from casual coffees with investors who approached him, not from pitching dozens of VCs. B2B founders might benefit from focusing on building relationships and demonstrating value rather than running intensive fundraising campaigns. Enterprise AI is a long-term bet: Looking 3-5 years ahead, Vahan sees enterprise AI as the major opportunity. "Companies have datasets sitting in silos, but that dataset is gold," he explains. The ability to "transform that dataset to training data in a fast and accurate manner will define your moat moving forward." B2B founders should consider how their solutions can help enterprises unlock value from proprietary data.   //   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  

Sam Jacobs, AJ Bruno, and Asad Zaman confront the emotional weight and operational strain of leading through sustained GTM volatility. They reflect on the mental health toll of missed quarters, the pressure to perform under investor scrutiny, and the fine line between perseverance and sunk-cost thinking. The trio explores how founders can navigate uncertain markets with clear contingency planning, why Pavilion is betting big on small peer groups to improve retention, and what the recent wave of strategic M&A reveals about the shifting tech landscape.Thanks for tuning in!Join the revenue leaders redefining growth at Pavilion's CRO Summit 2025, which will be held on June 3rd at the Denver Art Museum. Register today.Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:(00:00) Introduction and Reflections on Past Guests(02:59) The Impact of AI on Education(05:56) Market Pulse Check and Economic Outlook(08:58) Navigating Challenges as Founders(11:55) Mental Health and Resilience in Business(15:04) Investor Pressures and Market Dynamics(17:48) The Importance of Adaptability in Entrepreneurship(20:59) Learning from Failure and Moving Forward(33:53) Revenue Growth and Business Optionality(34:56) Leadership Accountability and Personal Growth(36:24) Compassionate Leadership in Business(38:01) Optimism vs. Realism in Business(39:31) Market Trends and Business Strategy(42:04) Building Community and Crafting Business Assets(43:41) Market Dependency and Business Performance(46:47) The Importance of Team Building(47:15) M&A Activity and Market Dynamics

Databricks just snatched up another AI company. This week, data analytics giant announced a $1 billion acquisition of Neon, a startup building an open-source alternative to AWS Aurora Postgres. It's the latest in a spree of high-profile buys, joining MosaicML and Tabular, as Databricks positions itself as the place to build, deploy, and scale AI-native applications.  Today, on TechCrunch's Equity podcast, hosts Kirsten Korosec, Max Zeff, and Anthony Ha unpack the Databricks–Neon deal, where Neon's serverless Postgres tech fits into the larger vision, and whether $1 billion still counts as “a lot of money” these days (spoiler: Kirsten and Anthony are on the fence). Listen to the full episode to hear about: Chime's long-awaited IPO plans and what the neobank's S-1 did (and didn't) reveal. AWS entering a ‘strategic partnership' that could shake up cloud infrastructure, especially as the Middle East ramps up its AI ambitions The return of the web series. Yes, really. Short-form scripted content is back, and investors are placing big bets on nostalgic trend Equity will be back next week, so don't miss it! Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday.  Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes here. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. We'd also like to thank TechCrunch's audience development team. Thank you so much for listening, and we'll talk to you next time. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, we discuss Zenoss finally getting acquired, Databricks buying Neon, and the debut of WizOS. Plus, updates on OpenAI, Google, Apple—and hot takes on Marmite, Vegemite, and Emacs. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/gtm8WopIaOM?si=NsjyGL8As3sTLg7P) 519 (https://www.youtube.com/live/gtm8WopIaOM?si=NsjyGL8As3sTLg7P) Runner-up Titles Vegemite is still bad You're probably eating it It's a bold statement This episode's all about us Pendantic is my jam They tell you they're making “calculated bets” Rupert SlackGPT No one knows anything, do everything Rundown Marmite Rice Cakes (https://groceries.morrisons.com/products/marmite-rice-cakes/109658607) M&A Virtana Acquires Zenoss to Deliver the Industry's Deepest and Broadest Observability Platform (https://www.virtana.com/press-release/virtana-acquires-zenoss-to-deliver-the-industrys-deepest-and-broadest-observability-platform/) Databricks Agrees to Acquire Neon to Deliver Serverless Postgres for Developers + AI Agents - Databricks (https://www.databricks.com/company/newsroom/press-releases/databricks-agrees-acquire-neon-help-developers-deliver-ai-systems) Introducing WizOS: Securing Wiz from the ground up with hardened, near-zero-CVE container base images. (https://www.wiz.io/blog/introducing-wizos-hardened-near-zero-cve-base-images) Checking on OpenAI Evolving OpenAI's structure (https://openai.com/index/evolving-our-structure/) OpenAI caves to pressure, keeps nonprofit in charge (https://www.theregister.com/2025/05/05/openai_keep_nonprofit_in_charge/) OpenAI Hires Instacart C.E.O. to Run Business and Operations (https://www.nytimes.com/2025/05/08/technology/openai-fidji-simo.html) OpenAI Reaches Agreement to Buy Startup Windsurf for $3 Billion (https://www.bloomberg.com/news/articles/2025-05-06/openai-reaches-agreement-to-buy-startup-windsurf-for-3-billion) Anysphere, which makes Cursor, has reportedly raised $900M at $9B valuation (https://techcrunch.com/2025/05/04/cursor-is-reportedly-raising-funds-at-9-billion-valuation-from-thrive-a16z-and-accel/) Checking in on Google Google Search traffic decline is inevitable, execs say (https://searchengineland.com/google-search-traffic-decline-inevitable-455345) Google tests replacing 'I'm Feeling Lucky' with 'AI Mode' (https://techcrunch.com/2025/05/13/google-tests-replacing-im-feeling-lucky-with-ai-mode/) Checking on Apple Apple To Appeal Judge's Scathing New Ruling In Epic Games Antitrust Case, Says CEO Tim Cook (https://deadline.com/2025/05/apple-to-appeal-ruling-in-epic-games-fortnite-antitrust-case-1236383340/) Eddy Cue is fighting to save Apple's $20 billion paycheck from Google (https://www.theverge.com/policy/662974/google-search-remedies-trial-eddy-cue-apple-deal-ai) PayPal Brings Contactless Payments to German iPhones Under New EU Rule (https://www.macrumors.com/2025/05/13/paypal-contactless-payments-germany/) emacs — Matt Gemmell (https://mattgemmell.scot/emacs/) Relevant to your Interests New Netflix UI (https://about.netflix.com/en/news/unveiling-our-innovative-new-tv-experience) VMware perpetual license holders receive cease-and-desist letters from Broadcom (https://arstechnica.com/gadgets/2025/05/broadcom-sends-cease-and-desist-letters-to-subscription-less-vmware-users/) The EC2 Pricing Form is 284 MB JSON File? (https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/ap-southeast-2/index.json) Has DOGE missed its opportunity? (https://www.nextgov.com/ideas/2025/05/has-doge-missed-its-opportunity/405125/) Thanks to DOGE, Gumroad's founder has a second job with the VA (https://www.fastcompany.com/91330297/doge-sahil-lavignia-gumroad) Microsoft employees are banned from using DeepSeek app, president says (https://techcrunch.com/2025/05/08/microsoft-employees-are-banned-from-using-deepseek-app-president-says/) AI Is Like a Crappy Consultant (https://lukekanies.com/writing/ai-is-like-a-crappy-consultant/) You can now submit your claims for Apple's $95 million Siri spying settlement (https://www.theverge.com/news/663166/apple-siri-audio-recording-lawsuit-payout-applications) Microsoft laying off about 6,000 people, or 3% of its workforce (https://www.cnbc.com/2025/05/13/microsoft-is-cutting-3percent-of-workers-across-the-software-company.html) The Case for Open AI Tooling: Why Developers Need Sovereignty in the AI Era (https://thenewstack.io/the-case-for-open-ai-tooling-why-developers-need-sovereignty-in-the-ai-era/) DeepSeek's ‘Tech Madman' Founder Is Threatening US Dominance in AI Race (https://www.bloomberg.com/news/features/2025-05-13/deepseek-races-after-chatgpt-as-china-s-ai-industry-soars) Microsoft laying off about 6,000 people, or 3% of its workforce (https://www.cnbc.com/2025/05/13/microsoft-is-cutting-3percent-of-workers-across-the-software-company.html) GM unveils new 'groundbreaking' EV battery tech, aims to be first to market (https://www.cnbc.com/2025/05/13/gm-new-ev-battery-tech.html) Exclusive: Slate Auto has already racked up more than 100,000 refundable reservations (https://techcrunch.com/2025/05/12/slate-auto-crosses-100000-refundable-reservations-in-two-weeks) Nonsense Meet Vulcan, the first Amazon robot with a sense of touch (https://www.cnbc.com/video/2025/05/07/meet-vulcan-the-first-amazon-robot-with-a-sense-of-touch.html) Fyre Festival's embattled founder is selling the brand: 'It's time to pass the torch' (https://www.npr.org/2025/04/24/nx-s1-5374909/fyre-festival-for-salrl-billy-mcfarland) Conferences NDC Oslo (https://ndcoslo.com/), May 21st-23th, Coté speaking. POST/CON 25 (https://postcon.postman.com/2025/), June 3-4, Los Angeles, CA, Brandon representing SDT. Register here for free pass (https://fnf.dev/43irTu1) using code BRANDON (https://fnf.dev/43irTu1) (limited to first 20 People) Contract-Driven Development: Unite Your Teams and Accelerate Delivery (https://postcon.postman.com/2025/session/3022520/contract-driven-development-unite-your-teams-and-accelerate-delivery%20%20%20%20%20%208:33) by Chris Chandler SREDay Cologne, June 12th, 2025 (https://sreday.com/2025-cologne-q2/#tickets) - Coté speaking, discount: CLG10, 10% off. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Sinners (https://www.rottentomatoes.com/m/sinners_2025) Matt: Devs (https://www.imdb.com/title/tt8134186/) — first recommended by Brandon on episode 223 (https://www.softwaredefinedtalk.com/223) Photo Credits Header (https://unsplash.com/s/photos/Vegemite?license=free&orientation=landscape)

In an exclusive interview with ASUG Talks, Dr. Philipp Herzig, SAP Chief Technology Officer, discusses the talk of the SAP ecosystem:  artificial intelligence. The constantly-evolving technology is steadily becoming a critical component of the software company's offerings, with SAP working to embed AI capabilities across its entire suite of solutions. Ahead of SAP Sapphire & ASUG Annual Conference 2025, Herzig sat down with Geoff Scott, ASUG CEO & Chief Community Champion, for a wide-ranging discussion about the place AI holds in the SAP ecosystem and how he is working to further enable SAP customers to embrace the technology.  Key Insights How Herzig is specifically driving SAP's goal of being the “number one business AI company”Specific examples of how SAP is embedding AI capabilities across its entire portfolioThe vision for SAP Business Data Cloud and how it empowers enterprises to embrace AI solutions Related Resources Read ASUG's exclusive interview with Jan Gilg,  Chief Revenue Officer & President for SAP Americas and the SAP Global Business Suite organizationExpand your AI knowledge with the ASUG  Artificial Intelligence Fundamentals and SAP AI Solutions Content CollectionListen to ASUG Director of Strategic Topics and Communities, Kelly Dowling, on a recent episode of the Women in ERP Podcast, where she discusses her work building and empowering the ASUG community Listen to more ASUG TalksJeff Suellentrop, Chief Information & Technology Officer at Phoenix Global, joins the podcast to walk through his organization's recent GROW with SAP projectAndre Bechtold,  President of SAP Industries & Experiences, lays out how SAP approaches technology innovation and building the next generation of SAP professionalsGeoff Scott is joined by two members of the ASUG Board-- Mark LeClair and Craig Dalziel--to break down the SAP Business Data Cloud (BDC) release and Databricks partnership 

Today's show: Chime is finally going public with strong financials and a shot at matching its $25B 2021 valuation, signaling real momentum in the IPO market. Databricks just made a $1B bet on agentic AI by acquiring Neon, a Postgres-as-a-service startup riding the new database wave. Then, Dave Rubin joins to share how he built and sold Locals, his uncancellable creator platform, all while navigating the intense media landscape.Timestamps:(0:00) Episode Teaser(1:14) Jason and Alex open the show(1:42) Why Chime's IPO is such a promising sign(7:22) Chime's financials and valuation(10:12) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:17) So why did Databricks buy Neon?(13:22) Where is the AI Integration Desktop App?(17:29) Jason's plan to bring Americans back to the movies(20:10) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(21:58) Make movies All-you-can-eat!(26:26) Special Guest: Dave Rubin(30:39) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(31:41) Why Dave Rubin goes phone free for weeks at a time(45:24) Why Identity politics is killing business and sports(49:23) Can Locals reinvent subscription models?Subscribe 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/v19fcpLinks from episode:Rubin Report on Locals: https://rubinreport.locals.com/Follow Dave:X: https://x.com/RubinReportYouTube: https://www.youtube.com/channel/UCJdKr0Bgd_5saZYqLCa9mngFollow 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:(10:12) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:10) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(30:39) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twistGreat 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

When Sam Jacobs founded Pavilion, formerly Revenue Collective, he set out to build a private community for operators in a startup world that traditionally celebrated only founders and operators. But after the community grew rapidly, now totaling 10,000+ members, questions arose about whether the once-exclusive membership had become too open. In this special Topline Spotlight episode, Sam joins co-hosts AJ Bruno and Asad Zaman to discuss how rapid expansion diluted the community's focus, what it took to course-correct, and why building something great takes time—and restraint.You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:(00:00) Introduction(00:42) Business Challenge of the Last 24 Months(01:29) What Is Pavilion?(02:43) Launching Pavilion Gold(04:01) Why the Community Scaled So Quickly(06:51) LinkedIn and Slack as Growth Drivers(07:02) Shifting Culture of Openness Among GTM Leaders(08:04) The Consequences of Losing Focus(10:54) The Biggest Mistake: Removing the Qualification Barrier(11:32) The Challenge of Reversing Course(13:46) Continued Opportunity for Operator Advocacy(15:00) Solving the Challenge: Long-Term Vision(15:54) Building a 3-Year Vision for Pavilion(16:08) Importance of Patience in Building Exclusive Communities

In this conversation, Jaeden discusses the recent acquisition of the database startup Neon by Databricks for $1 billion. He highlights the innovative features of Neon, which focuses on AI-driven database management, and contrasts it with Databricks' growth strategy.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutTakeawaysDatabricks acquired Neon for $1 billion, focusing on AI-driven databases.AI Box offers a platform for accessing multiple AI models.Neon allows developers to clone databases and scale resources automatically.80% of databases on Neon are created by AI agents.Databricks has raised $19 billion, enabling significant acquisitions.Neon provides an open-source alternative to AWS's Aurora Postgres.The acquisition aligns with Databricks' push into AI technology.Databricks has a history of making multi-billion dollar acquisitions.The growth of Neon showcases the potential of AI in database management.The conversation emphasizes the importance of innovation in tech acquisitions.

Databricks CEO talks with Deirdre Bosa about the company's $1B deal to acquire cloud-based database software vendor Neon, and the rapidly evolving AI landscape. Plus, we walk through what to watch in AI Infrastructure Coreweave's first quarterly report since its March IPO. 

MLOps with Databricks // MLOps Podcast #314 with Maria Vechtomova, MLOps Tech Lead | Founder at Ahold Delhaize | Marvelous MLOps.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractThe world of MLOps is very complex as there is an endless amount of tools serving its purpose, and it is very hard to get your head around it. Instead of combining various tools and managing them, it may make sense to opt for a platform instead. Databricks is a leading platform for MLOps. In this discussion, I will explain why it is the case, and walk you through Databricks MLOps features.// BioMaria is an MLOps Tech lead with over 10 years of experience in Data and AI.For the last 8 years, Maria has focused on MLOps and helped to establish MLOps best practices at large corporations.Together with her colleague, she co-founded Marvelous MLOps to share knowledge on MLOps via training, social media posts, and blogs.// Related LinksWebsite: marvelousmlops.ioMLOps Course discount code: MLOPS100 for the podcast listeners - https://maven.com/marvelousmlops/mlops-with-databricks?promoCode=MLOPS100~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Maria on LinkedIn: /maria-vechtomovaTimestamps:[00:00] Maria's preferred coffee[00:42] Takeaways[02:48] Why Databricks for MLOps[09:56] Platform Adoption vs Procurement Pain[12:56] Databricks Best Practices[16:57] Feature Store Overview[22:00] Managed system trade-offs[29:15] Databricks Developments and Trends[44:31] Insider Info and Summit[45:47] Data Ownership Pros and Cons[48:08] Data Contracts and Challenges[51:25] MLOps Databricks Book Guide[52:19] Wrap up

Mardi 13 mai, Frédéric Simottel a reçu le Général de brigade Patrick Pierrot, docteur en IA et conseiller IA du Comcyber au ministère de l'Intérieur, Yannis Daubin, vice-président Europe du Sud, Israël, Moyen-Orient, et Afrique de Databricks, Arnaud Drizard, PDG et cofondateur de Bastion (ex Palantir), Gaël Sliman, président d'Odoxa, et Marc Trilling, président et cofondateur de Saegus, dans l'émission Tech&Co Business sur BFM Business. Retrouvez l'émission le samedi et réécoutez la en podcast.

Ce mardi 13 mai, Yannis Daubin, vice-président Europe du Sud, Israël, Moyen-Orient et Afrique de Databricks, est revenu sur l'évolution de Databricks en termes d'hyperscalers, d'hébergeurs de données et de spécialistes du data warehouse, dans l'émission Tech&Co Business présentée par Frédéric Simottel. Tech&Co Business est à voir ou écouter le mardi sur BFM Business.

Sid Kumar, Area Vice President of Go-to-Market Strategy and Planning at Databricks, joins the ZoomInfo Labs Podcast to break down the modern GTM org. From building global sales systems to operationalizing AI across workflows Sid brings lots to learn from.We dive into lessons Sid has carried from HubSpot, AWS, and CA Technologies, why a connected GTM is the future, and how to treat go-to-market like a product that's always evolving.In this episode, you'll learn:Why GTM should be treated like a product—not a processHow to scale go-to-market systems globally without losing local nuanceThe right way to experiment with AI across sales, marketing, and CSHow GTM architects can unify data, workflows, and outcomesFor more from ZI Labs, visit ⁠www.zoominfo.com/labs⁠ Ben on LinkedIn - www.linkedin.com/in/bensalzman Millie on LinkedIn - www.linkedin.com/in/milliebeetham

The Road to ‘Service-as-Software.' Salesforce co-founder and CEO Marc Benioff is articulating a bold vision for the next era of enterprise software. In an exclusive interview with theCUBE on April 25, 2025, Benioff outlined how AI-driven agents and a unified data architecture will transform Software as a Service (SaaS) into what we're calling “Service as Software” – a model where software-based digital agents augment every business process. The Salesforce chief has often quipped that today's CEOs are “the last generation of executives leading exclusively human workforces,” underscoring his conviction that AI agents (what many call agentic AI) will soon work alongside humans in every enterprise. Our premise is that this “digital labor” revolution could be more disruptive than the cloud and mobile waves of 15 years ago, fundamentally redefining how applications function. In this Breaking Analysis, we focus on Salesforce's Agentforce and Data Cloud strategies – the twin pillars of its agentic vision – and how they position the company to become what we call the first software-only hyperscaler. We also examine the broader industry context, including competitive dynamics with Microsoft and Salesforce's interoperability with platforms like Snowflake, Databricks and AWS.FULL ARTICLE: https://thecuberesearch.com/276-breaking-analysis-salesforce-agentforce-data-cloud-a-path-to-the-software-only-hyperscaler/

In this episode, Sam, AJ, and Asad are joined by Guy Rubin to dive deep into the critical insights from Ebsta's latest sales benchmarking report. Their report uncovers what separates high-performing sales organizations from the rest. They take a sobering look at current quota attainment trends and why most teams continue to fall short of targets. They also explore how leadership decisions create ripple effects across sales performance, examining the structural and cultural factors driving results. This episode delivers actionable takeaways for sales leaders looking to improve quota attainment, optimize their tech stack, and build more resilient teams in an increasingly complex selling environment.Thanks for tuning in!Join the revenue leaders redefining growth at Pavilion's CRO Summit 2025, which will be held on June 3rd at the Denver Art Museum. Register today.Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments: (00:00) Introduction(03:00) Sales Quota Attainment and Market Dynamics(06:00) The Role of Leadership in Sales Success(08:49) Data-Driven Sales Strategies(11:58) The Challenge of Sales Performance(15:03) The Future of Sales Talent and AI's Impact(17:54) Concentration of Talent in Sales Organizations(22:49) The Concentration of Talent in Organizations(23:41) Data-Driven Insights for Sales Success(25:50) The Role of AI in Sales(26:41) The Myth of the A Player(28:49) The Importance of Consistency in Sales Processes(30:01) The Shift to Full Cycle Sales(32:21) Customer Relationship Management in Sales(34:41) The Impact of Leadership on Sales Performance(37:53) Navigating Volatility in Sales(40:54) Building a Data-Driven Sales Organization(48:05) Pop Culture References and Team Dynamics(49:14) Market Dynamics and Leadership Changes(50:44) Founder Friendliness and CEO Replacement(54:14) The Role of Founders vs. Non-Founder CEOs(01:00:20) Community and Personal Growth(01:01:30) Inspiring Media Ventures and Closing Thoughts

When Rick Smolen stepped into the CRO role at ShipHero, he wasn't just inheriting a sales team—he was taking on the entire customer lifecycle. From marketing to partnerships to customer success, Rick had to quickly learn how to lead teams in functions he'd never directly owned before. In this episode, he shares what that transition was really like, the mistakes he made early on, and how curiosity became his most powerful leadership tool.You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments: (00:00) Introduction(01:10) Overview of ShipHero and its services(03:15) Rick's career Journey(06:37) Challenges of transitioning to CRO(09:36) Curiosity and leadership dynamics(14:27) Building a leadership team and embracing failure(18:12) Evaluating leadership success(22:59) Key takeaways and book recommendations

InfluxDB just dropped its biggest update ever — InfluxDB 3.0 — and in this episode, we go deep with the team behind the world's most popular open-source time series database. You'll hear the inside story of how InfluxDB grew from 3,000 users in 2015 to over 1.3 million today, and why the company decided to rewrite its entire architecture from scratch in Rust, ditching Go and moving to object storage on S3.We break down the real technical challenges that forced this radical shift: the “cardinality problem” that choked performance, the pain of linking compute and storage, and why their custom query language (Flux) failed to catch on, leading to a humbling embrace of SQL as the industry standard. You'll learn how InfluxDB is positioning itself in a world dominated by Databricks and Snowflake, and the hard lessons learned about monetization when 1.3 million users only yield 2,600 paying customers.InfluxDataWebsite - https://www.influxdata.comX/Twitter - https://twitter.com/InfluxDBEvan KaplanLinkedIn - https://www.linkedin.com/in/kaplanevanX/Twitter - https://x.com/evankaplanFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFoursquare: Website - https://foursquare.comX/Twitter - https://x.com/Foursquare IG - instagram.com/foursquare (00:00) Intro (02:22) The InfluxDB origin story and why time series matters (06:59) The cardinality crisis and why Influx rebuilt in Rust (09:26) Why SQL won (and Flux lost) (16:34) Why UnfluxData bets on FDAP (22:51) IoT, Tesla Powerwalls, and real-time control systems (27:54) Competing with Databricks, Snowflake, and the “lakehouse” world (31:50) Open Source lessons, monetization, & what's next

What if security wasn't something developers had to think about at all? That's the vision Travis McPeak—former Netflix and Databricks security leader—is building at Resourcely. In this episode, he breaks down why most security tools fail, how trust between security and engineering got broken, and what it really takes to fix cloud misconfigurations before they hit production. Travis also shares what compliance is getting wrong, why developer experience is non-negotiable, and what he learned going from big tech to startup CEO. Travis: www.linkedin.com/in/travismcpeak Resourcely: www.resourcely.io Jon: www.linkedin.com/in/jon-mclachlan Sasha: www.linkedin.com/in/aliaksandr-sinkevich YSecurity: www.ysecurity.io

In this episode, Lois Houston and Nikita Abraham continue their deep dive into Oracle GoldenGate 23ai, focusing on its evolution and the extensive features it offers. They are joined once again by Nick Wagner, who provides valuable insights into the product's journey.   Nick talks about the various iterations of Oracle GoldenGate, highlighting the significant advancements from version 12c to the latest 23ai release. The discussion then shifts to the extensive new features in 23ai, including AI-related capabilities, UI enhancements, and database function integration.   Oracle GoldenGate 23ai: Fundamentals: https://mylearn.oracle.com/ou/course/oracle-goldengate-23ai-fundamentals/145884/237273 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   -----------------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services.  Nikita: Hi everyone! Last week, we introduced Oracle GoldenGate and its capabilities, and also spoke about GoldenGate 23ai. In today's episode, we'll talk about the various iterations of Oracle GoldenGate since its inception. And we'll also take a look at some new features and the Oracle GoldenGate product family. 00:57 Lois: And we have Nick Wagner back with us. Nick is a Senior Director of Product Management for GoldenGate at Oracle. Hi Nick! I think the last time we had an Oracle University course was when Oracle GoldenGate 12c was out. I'm sure there's been a lot of advancements since then. Can you walk us through those? Nick: GoldenGate 12.3 introduced the microservices architecture. GoldenGate 18c introduced support for Oracle Autonomous Data Warehouse and Autonomous Transaction Processing Databases. In GoldenGate 19c, we added the ability to do cross endian remote capture for Oracle, making it easier to set up the GoldenGate OCI service to capture from environments like Solaris, Spark, and HP-UX and replicate into the Cloud. Also, GoldenGate 19c introduced a simpler process for upgrades and installation of GoldenGate where we released something called a unified build. This means that when you install GoldenGate for a particular database, you don't need to worry about the database version when you install GoldenGate. Prior to this, you would have to install a version-specific and database-specific version of GoldenGate. So this really simplified that whole process. In GoldenGate 23ai, which is where we are now, this really is a huge release.  02:16 Nikita: Yeah, we covered some of the distributed AI features and high availability environments in our last episode. But can you give us an overview of everything that's in the 23ai release? I know there's a lot to get into but maybe you could highlight just the major ones? Nick: Within the AI and streaming environments, we've got interoperability for database vector types, heterogeneous capture and apply as well. Again, this is not just replication between Oracle-to-Oracle vector or Postgres to Postgres vector, it is heterogeneous just like the rest of GoldenGate. The entire UI has been redesigned and optimized for high speed. And so we have a lot of customers that have dozens and dozens of extracts and replicats and processes running and it was taking a long time for the UI to refresh those and to show what's going on within those systems. So the UI has been optimized to be able to handle those environments much better. We now have the ability to call database functions directly from call map. And so when you do transformation with GoldenGate, we have about 50 or 60 built-in transformation routines for string conversion, arithmetic operation, date manipulation. But we never had the ability to directly call a database function. 03:28 Lois: And now we do? Nick: So now you can actually call that database function, database stored procedure, database package, return a value and that can be used for transformation within GoldenGate. We have integration with identity providers, being able to use token-based authentication and integrate in with things like Azure Active Directory and your other single sign-on for the GoldenGate product itself. Within Oracle 23ai, there's a number of new features. One of those cool features is something called lock-free reservation columns. So this allows you to have a row, a single row within a table and you can identify a column within that row that's like an inventory column. And you can have multiple different users and multiple different transactions all updating that column within that same exact row at that same time. So you no longer have row-level locking for these reservation columns. And it allows you to do things like shopping carts very easily. If I have 500 widgets to sell, I'm going to let any number of transactions come in and subtract from that inventory column. And then once it gets below a certain point, then I'll start enforcing that row-level locking. 04:43 Lois: That's really cool… Nick: The one key thing that I wanted to mention here is that because of the way that the lock-free reservations work, you can have multiple transactions open on the same row. This is only supported for Oracle to Oracle. You need to have that same lock-free reservation data type and availability on that target system if GoldenGate is going to replicate into it. 05:05 Nikita: Are there any new features related to the diagnosability and observability of GoldenGate?  Nick: We've improved the AWR reports in Oracle 23ai. There's now seven sections that are specific to Oracle GoldenGate to allow you to really go in and see exactly what the GoldenGate processes are doing and how they're behaving inside the database itself. And there's a Replication Performance Advisor package inside that database, and that's been integrated into the Web UI as well. So now you can actually get information out of the replication advisor package in Oracle directly from the UI without having to log into the database and try to run any database procedures to get it. We've also added the ability to support a per-PDB Extract.  So in the past, when GoldenGate would run on a multitenant database, a multitenant database in Oracle, all the redo data from any pluggable database gets sent to that one redo stream. And so you would have to configure GoldenGate at the container or root level and it would be able to access anything at any PDB. Now, there's better security and better performance by doing what we call per-PDB Extract. And this means that for a single pluggable database, I can have an extract that runs at that database level that's going to capture information just from that pluggable database. 06:22 Lois And what about non-Oracle environments, Nick? Nick: We've also enhanced the non-Oracle environments as well. For example, in Postgres, we've added support for precise instantiation using Postgres snapshots. This eliminates the need to handle collisions when you're doing Postgres to Postgres replication and initial instantiation. On the GoldenGate for big data side, we've renamed that product more aptly to distributed applications in analytics, which is really what it does, and we've added a whole bunch of new features here too. The ability to move data into Databricks, doing Google Pub/Sub delivery. We now have support for XAG within the GoldenGate for distributed applications and analytics. What that means is that now you can follow all of our MAA best practices for GoldenGate for Oracle, but it also works for the DAA product as well, meaning that if it's running on one node of a cluster and that node fails, it'll restart itself on another node in the cluster. We've also added the ability to deliver data to Redis, Google BigQuery, stage and merge functionality for better performance into the BigQuery product. And then we've added a completely new feature, and this is something called streaming data and apps and we're calling it AsyncAPI and CloudEvent data streaming. It's a long name, but what that means is that we now have the ability to publish changes from a GoldenGate trail file out to end users. And so this allows through the Web UI or through the REST API, you can now come into GoldenGate and through the distributed applications and analytics product, actually set up a subscription to a GoldenGate trail file. And so this allows us to push data into messaging environments, or you can simply subscribe to changes and it doesn't have to be the whole trail file, it can just be a subset. You can specify exactly which tables and you can put filters on that. You can also set up your topologies as well. So, it's a really cool feature that we've added here. 08:26 Nikita: Ok, you've given us a lot of updates about what GoldenGate can support. But can we also get some specifics? Nick: So as far as what we have, on the Oracle Database side, there's a ton of different Oracle databases we support, including the Autonomous Databases and all the different flavors of them, your Oracle Database Appliance, your Base Database Service within OCI, your of course, Standard and Enterprise Edition, as well as all the different flavors of Exadata, are all supported with GoldenGate. This is all for capture and delivery. And this is all versions as well. GoldenGate supports Oracle 23ai and below. We also have a ton of non-Oracle databases in different Cloud stores. On an non-Oracle side, we support everything from application-specific databases like FairCom DB, all the way to more advanced applications like Snowflake, which there's a vast user base for that. We also support a lot of different cloud stores and these again, are non-Oracle, nonrelational systems, or they can be relational databases. We also support a lot of big data platforms and this is part of the distributed applications and analytics side of things where you have the ability to replicate to different Apache environments, different Cloudera environments. We also support a number of open-source systems, including things like Apache Cassandra, MySQL Community Edition, a lot of different Postgres open source databases along with MariaDB. And then we have a bunch of streaming event products, NoSQL data stores, and even Oracle applications that we support. So there's absolutely a ton of different environments that GoldenGate supports. There are additional Oracle databases that we support and this includes the Oracle Metadata Service, as well as Oracle MySQL, including MySQL HeatWave. Oracle also has Oracle NoSQL Spatial and Graph and times 10 products, which again are all supported by GoldenGate. 10:23 Lois: Wow, that's a lot of information! Nick: One of the things that we didn't really cover was the different SaaS applications, which we've got like Cerner, Fusion Cloud, Hospitality, Retail, MICROS, Oracle Transportation, JD Edwards, Siebel, and on and on and on.  And again, because of the nature of GoldenGate, it's heterogeneous. Any source can talk to any target. And so it doesn't have to be, oh, I'm pulling from Oracle Fusion Cloud, that means I have to go to an Oracle Database on the target, not necessarily.  10:51 Lois: So, there's really a massive amount of flexibility built into the system.  11:00 Unlock the power of AI Vector Search with our new course and certification. Get more accurate search results, handle complex datasets easily, and supercharge your data-driven decisions. From now through May 15, 2025, we are waiving the certification exam fee (valued at $245). Visit mylearn.oracle.com to enroll. 11:26 Nikita: Welcome back! Now that we've gone through the base product, what other features or products are in the GoldenGate family itself, Nick? Nick: So we have quite a few. We've kind of touched already on GoldenGate for Oracle databases and non-Oracle databases. We also have something called GoldenGate for Mainframe, which right now is covered under the GoldenGate for non-Oracle, but there is a licensing difference there. So that's something to be aware of. We also have the OCI GoldenGate product. We are announcing and we have announced that OCI GoldenGate will also be made available as part of the Oracle Database@Azure and Oracle Database@ Google Cloud partnerships.  And then you'll be able to use that vendor's cloud credits to actually pay for the OCI GoldenGate product. One of the cool things about this is it will have full feature parity with OCI GoldenGate running in OCI. So all the same features, all the same sources and targets, all the same topologies be able to migrate data in and out of those clouds at will, just like you do with OCI GoldenGate today running in OCI.  We have Oracle GoldenGate Free.  This is a completely free edition of GoldenGate to use. It is limited on the number of platforms that it supports as far as sources and targets and the size of the database.  12:45 Lois: But it's a great way for developers to really experience GoldenGate without worrying about a license, right? What's next, Nick? Nick: We have GoldenGate for Distributed Applications and Analytics, which was formerly called GoldenGate for big data, and that allows us to do all the streaming. That's also where the GoldenGate AsyncAPI integration is done. So in order to publish the GoldenGate trail files or allow people to subscribe to them, it would be covered under the Oracle GoldenGate Distributed Applications and Analytics license. We also have OCI GoldenGate Marketplace, which allows you to run essentially the on-premises version of GoldenGate but within OCI. So a little bit more flexibility there. It also has a hub architecture. So if you need that 99.99% availability, you can get it within the OCI Marketplace environment. We have GoldenGate for Oracle Enterprise Manager Cloud Control, which used to be called Oracle Enterprise Manager. And this allows you to use Enterprise Manager Cloud Control to get all the statistics and details about GoldenGate. So all the reporting information, all the analytics, all the statistics, how fast GoldenGate is replicating, what's the lag, what's the performance of each of the processes, how much data am I sending across a network. All that's available within the plug-in. We also have Oracle GoldenGate Veridata. This is a nice utility and tool that allows you to compare two databases, whether or not GoldenGate is running between them and actually tell you, hey, these two systems are out of sync. And if they are out of sync, it actually allows you to repair the data too. 14:25 Nikita: That's really valuable…. Nick: And it does this comparison without locking the source or the target tables. The other really cool thing about Veridata is it does this while there's data in flight. So let's say that the GoldenGate lag is 15 or 20 seconds and I want to compare this table that has 10 million rows in it. The Veridata product will go out, run its comparison once. Once that comparison is done the first time, it's then going to have a list of rows that are potentially out of sync. Well, some of those rows could have been moved over or could have been modified during that 10 to 15 second window. And so the next time you run Veridata, it's actually going to go through. It's going to check just those rows that were potentially out of sync to see if they're really out of sync or not. And if it comes back and says, hey, out of those potential rows, there's two out of sync, it'll actually produce a script that allows you to resynchronize those systems and repair them. So it's a very cool product.  15:19 Nikita: What about GoldenGate Stream Analytics? I know you mentioned it in the last episode, but in the context of this discussion, can you tell us a little more about it?  Nick: This is the ability to essentially stream data from a GoldenGate trail file, and they do a real time analytics on it. And also things like geofencing or real-time series analysis of it.  15:40 Lois: Could you give us an example of this? Nick: If I'm working in tracking stock market information and stocks, it's not really that important on how much or how far down a stock goes. What's really important is how quickly did that stock rise or how quickly did that stock fall. And that's something that GoldenGate Stream Analytics product can do. Another thing that it's very valuable for is the geofencing. I can have an application on my phone and I can track where the user is based on that application and all that information goes into a database. I can then use the geofencing tool to say that, hey, if one of those users on that app gets within a certain distance of one of my brick-and-mortar stores, I can actually send them a push notification to say, hey, come on in and you can order your favorite drink just by clicking Yes, and we'll have it ready for you. And so there's a lot of things that you can do there to help upsell your customers and to get more revenue just through GoldenGate itself. And then we also have a GoldenGate Migration Utility, which allows customers to migrate from the classic architecture into the microservices architecture. 16:44 Nikita: Thanks Nick for that comprehensive overview.  Lois: In our next episode, we'll have Nick back with us to talk about commonly used terminology and the GoldenGate architecture. And if you want to learn more about what we discussed today, visit mylearn.oracle.com and take a look at the Oracle GoldenGate 23ai Fundamentals course. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 17:10 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

In this episode, we're joined by Gaurav Agarwal, COO of ClickUp, who's led the company's explosive growth to over 10 million users while slashing CAC by 3X and achieving profitability. Gaurav dives into why ClickUp's hybrid motion is crushing it and how to align both for compounding returns, how they reduced CAC by ruthlessly optimizing spend and embracing incrementality over attribution, how to build teams that thrive under high accountability, and more.Thanks for tuning in!Join the revenue leaders redefining growth at Pavilion's CRO Summit 2025, which will be held on June 3rd at the Denver Art Museum. Register today.Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:(00:00) Introduction to Gaurav Agarwal and ClickUp(02:54) Gaurav's Journey from Banking to Startups(06:04) Growth Strategies and Challenges at ClickUp(14:54) Branding vs. Performance Marketing in SaaS(21:54) Navigating Brand Marketing and Measurement(24:44) The Importance of Self-Awareness in Leadership(27:39) The Role of Pain in Leadership and Growth(35:57) The Dichotomy of Being Liked vs. Respected(40:39) Building Resilient Teams Through Real Challenges(51:14) The Dynamics of PLG and SLG(52:37) Fragmentation in Go-to-Market Strategies(56:42) The Role of Marketing in Revenue Generation(01:00:45) Influences and Inspirations in Business

Venture capital investment trends show a significant shift towards large financing rounds for established companies. In the first quarter of 2025, OpenAI secured $40 billion, nearly half of all U.S. startup funding. This trend reflects an inclination to direct larger portions of funding to the top deals, with a steady increase in funding allocated to the ten largest financing rounds annually. The generative AI sector attracts substantial investments, with companies like OpenAI, xAI, and Anthropic leading in funding. Other significant firms include Waymo and Databricks, while the health and life sciences sector sees less prominence, lacking any representation in the top 20 funding rounds over the last two years. Significant equity raises occurred, including a $1 billion round for Xaira, focused on AI-driven drug discovery. Companies outside the generative AI sector, such as Saronic, Nerdio, and NinjaOne, also achieved large funding rounds. Investors exhibit a changing risk-reward perspective, favoring larger investments in established companies over smaller investments in startups with lower success rates. Investing at elevated valuations poses challenges, as seen with OpenAI's valuation of $300 billion, highlighting the potential volatility in market conditions.Learn more on this news visit us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Russ Mikowski, CEO of SurePeople and longtime revenue leader intech, never planned to become a CEO, until he was recruited to transform a 10-year-old company grappling with technical debt, a scattered ICP, and untapped potential. In this episode of Topline Spotlight, Russ opens up about the tough decisions he's made since taking the helm: rebuilding instead of refactoring, saying "no" to legacy customers, and doubling down on a focused go-to-market strategy for SurePeople's innovative psychometric assessment platform, Prism.You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:(00:00) Introduction to Topline Spotlight(03:00) Understanding SurePeople and Its Mission(05:51) Russ's Journey to CEO and Company History(08:55) Navigating Technical Debt and Product Development(12:01) Defining Ideal Customer Profile (ICP) and Market Focus(14:50) Company Culture and Communication Strategies(17:53) Inspiration and Leadership Philosophy

Sigma Computing recently hit $100M in ARR — planning on doubling revenue again this year— and in this episode, CEO Mike Palmer reveals exactly how they did it by throwing out the old BI playbook. We open with the provocative claim that “the world did not need another BI tool,” and dig into why the last 20 years of business intelligence have been “boring.” He explains how Sigma's spreadsheet-like interface lets anyone analyze billions of rows in seconds, and lives on top of Snowflake and Databricks, with no SQL required and no data extractions.Mike shares the inside story of Sigma's journey: why they shut down their original product to rebuild from scratch, how Sutter Hill Ventures' unique incubation model shaped the company, what it took to go from $2M to $100M ARR in just three years and raise a $200M round — even as the growth stage VC market dried up. We get into the technical details behind Sigma's architecture: no caching, no federated queries, and real-time, Google Sheets-style collaboration at massive scale—features that have convinced giants like JP Morgan and ExxonMobil to ditch legacy dashboards for good.We also tackle the future of BI and the modern data stack: why 99.99% of enterprise data is never touched, what's about to happen as the stack consolidates, and why Mike thinks “text-to-SQL” AI is a “terrible idea.” This episode is full of "spicey takes" - Mike shares his thoughts on how Google missed the zeitgeist, the reality behind Microsoft Fabric, when engineering hubris leads to failure, and many more. SigmaWebsite - https://www.sigmacomputing.comX/Twitter - https://x.com/sigmacomputingMike PalmerLinkedIn - https://www.linkedin.com/in/mike-palmer-51a154FIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFoursquare: Website - https://foursquare.comX/Twitter - https://x.com/Foursquare IG - instagram.com/foursquare (00:00) Intro (01:46) Why traditional BI is boring (04:15) What is business intelligence? (06:03) Classic BI roles and frustrations (07:09) Sigma's origin story: Sutter Hill & the Snowflake echo (09:02) The spreadsheet problem: why nothing changed since 1985 (14:04) Rebooting the product during lockdown (16:14) Building a spreadsheet UX on top of Snowflake/Databricks (18:55) No caching, no federation: Sigma's architectural choices (20:28) Spreadsheet interface at scale (21:32) Collaboration and real-time data workflows (24:15) Semantic layers, data governance & trillion-row performance (25:57) The modern data stack: fragmentation and consolidation (28:38) Democratizing data (29:36) Will hyperscalers own the data stack? (34:12) AI, natural language, and the limits of text-to-SQL

In this special episode of the HR Leaders Podcast, we bring you a powerful panel discussion hosted by Lynne Oldham, Chief People Officer at Dataiku, featuring talent leaders from Databricks, Omnicom Media Group, Eaton and Zapier.Together, they explore how AI is transforming talent acquisition and talent management, from predictive hiring and internal mobility to bias reduction and personalized candidate experiences.

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // MLOps Podcast #310 with Paco Nathan, Principal DevRel Engineer at Senzing & Weidong Yang, CEO of Kineviz.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractExisting BI and big data solutions depend largely on structured data, which makes up only about 20% of all available information, leaving the vast majority untapped. In this talk, we introduce GraphBI, which aims to address this challenge by combining GenAI, graph technology, and visual analytics to unlock the full potential of enterprise data.Recent technologies like RAG (Retrieval-Augmented Generation) and GraphRAG leverage GenAI for tasks such as summarization and Q&A, but they often function as black boxes, making verification challenging. In contrast, GraphBI uses GenAI for data pre-processing—converting unstructured data into a graph-based format—enabling a transparent, step-by-step analytics process that ensures reliability.We will walk through the GraphBI workflow, exploring best practices and challenges in each step of the process: managing both structured and unstructured data, data pre-processing with GenAI, iterative analytics using a BI-focused graph grammar, and final insight presentation. This approach uniquely surfaces business insights by effectively incorporating all types of data.// BioPaco NathanPaco Nathan is a "player/coach" who excels in data science, machine learning, and natural language, with 40 years of industry experience. He leads DevRel for the Entity Resolved Knowledge Graph practice area at Senzing.com and advises Argilla.io, Kurve.ai, KungFu.ai, and DataSpartan.co.uk, and is lead committer for the pytextrank​ and kglab​ open source projects. Formerly: Director of Learning Group at O'Reilly Media; and Director of Community Evangelism at Databricks.Weidong YangWeidong Yang, Ph.D., is the founder and CEO of Kineviz, a San Francisco-based company that develops interactive visual analytics based solutions to address complex big data problems. His expertise spans Physics, Computer Science and Performing Art, with significant contributions to the semiconductor industry and quantum dot research at UC, Berkeley and Silicon Valley. Yang also leads Kinetech Arts, a 501(c) non-profit blending dance, science, and technology. An eloquent public speaker and performer, he holds 11 US patents, including the groundbreaking Diffraction-based Overlay technology, vital for sub-10-nm semiconductor production.// Related LinksWebsite: https://www.kineviz.com/Blog: https://medium.com/kinevizWebsite: https://derwen.ai/pacohttps://huggingface.co/pacoidhttps://github.com/ceterihttps://neo4j.com/developer-blog/entity-resolved-knowledge-graphs/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Weidong on LinkedIn: /yangweidong/Connect with Paco on LinkedIn: /ceteri/

In this episode, Sam Jacobs and Asad Zaman are joined by Eric Wilford, a venture partner at Accel, to discuss venture investing with a focus on AI-first companies. The discussion delves into what defines an AI-first company, the implications of AI on product development and go-to-market strategies, and the influence of macroeconomic conditions on venture investments. Eric also shares his perspectives on valuation, the competitive dynamics in AI, and the role of authenticity in successful entrepreneurship.Thanks for tuning in! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments: (00:00) - Introduction(03:21) - Discussion on AI-First Companies(06:35) - AI in Enterprise SaaS and Product Customization(18:00) - Macro Economy and Venture Investing(22:23) - Navigating Recessions and AI Era(25:05) - Valuations in the AI Market(30:58) - Raising Capital: Strategies and Debates(35:57) - Founders' Goals and Investor Alignment(38:53) - Inspiration and Final Thoughts

Marcos Rivera, Founder and CEO of Pricing I/O offers an inside look into how he transformed his solo consultancy into a thriving team of SaaS pricing experts. He shares practical insights on pricing strategy, including why companies should revisit pricing regularly, how underpricing affects customer perception, and why adding more features isn't always the solution to retention problems.You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:01:50 Interview with Marcos Rivera: Pricing Expertise04:44 Common Misconceptions About Pricing14:10 Solving Business Problems: Talent Acquisition23:05 Reflections and Recommendations25:48 Closing Remarks and Call to Action

In this episode, Pallavi Koppol, Research Scientist at Databricks, explores the importance of domain-specific intelligence in large language models (LLMs). She discusses how enterprises need models tailored to their unique jargon, data, and tasks rather than relying solely on general benchmarks.Highlights include:- Why benchmarking LLMs for domain-specific tasks is critical for enterprise AI.- An introduction to the Databricks Intelligence Benchmarking Suite (DIBS).- Evaluating models on real-world applications like RAG, text-to-JSON, and function calling.- The evolving landscape of open-source vs. closed-source LLMs.- How industry and academia can collaborate to improve AI benchmarking.

Canadians have been the lifeblood behind some of the biggest unicorn startups of the past few years (think Open AI, Uber, Slack, Instacart, Notion, Databricks, CloudFlare, Roblox, Ethereum, Moderna Health, and Clay to name a few), and yet no one talks about them, except for Andre Charoo. And he's not just talking – he's putting his money behind Canadian founders through his fund, Maple VC. Andre shares why he thinks Canadian founders are always a strong bet (and bonus points if they're immigrants, too), what it's like to wait over 7 years to see a pre-seed investment materialize (in this case, recent unicorn Clay), and how he thinks about moats in the AI age (and why they still matter).Maple VC writes $500k – $1.5 million industry-agnostic checks into pre-seed and seed stage companies with roots from Canada to Korea to Harvard. HighlightsEven long after he left Uber and Hired, Andre never lost his go-to-market spirit and he's carried it with him as he's moved from operator to VC. Andre's investing framework can best be described as Canadian roots with global reach. He's been working hard to give Canadian founders their due and show their world that they are some of the most ambitious people out there. Clay, a unicorn in the Maple VC portfolio, is a testament to persistence and patience. Andre urges investors to remember they're playing the long game – waiting for results that may not materialize for nearly a decade. It's all about building durable companies, and the 7 Powers by Hamilton Helmer still holds true. Andre stresses that defensibility and success come from strategic insight, execution, and taste—not just code.While AI is changing the way companies form and scale, Andre still believes in this undefeated combo for founders: inventors, builders, and operators.(00:00) - Andre Charoo, Maple VC - Before Clay Was a Unicorn: The First Check, the Thesis, and the Long Game (01:40) - Andre's journey from operator to investor (06:56) - Why Andre will always bet on Candian expats (22:46) - Andre's check size and how he manages Maple VC (33:38) - The 7-year story of the unicorn, Clay (42:14) - Where Andre thinks AI stands and where it might be going (49:17) - Moats still matter in the AI era (01:03:02) - Andre's take on the inventor-builder-operator trifecta

Todd Beauchene, Head of Growth at Revefi, joins Rick Veronese on Pathmonk Presents to discuss how Revefi acts as a copilot for optimizing cloud data platforms like Snowflake and Databricks. With deep expertise, Revefi targets Fortune 1000 companies, helping data engineers and CIOs save costs and boost efficiency. Todd shares their event-driven strategy and website's educational role in driving growth. Learn how Revefi transforms data management in this engaging episode!

The hosts dissect Attio's AI-native CRM disrupting traditional customer management and examine the surprisingly resilient seed/Series B funding landscape despite economic headwinds. Learn how AI is fundamentally changing go-to-market playbooks, enabling tech companies to scale faster than ever before, and which AI sales tools have genuine staying power.Thanks for tuning in! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:[02:07] AJ's Boating Adventure[04:05] Sam on Pavilion's CMO Summit and Personal Updates[06:56] Marketing and Revenue Insights[10:36] AI in Business[13:34] Economic Sentiment and Business Strategy[33:02] Hiring in Volatile Times[37:04] Compensation Strategies for Sales Teams[40:55] AI in Sales: A Conversation with an AI SDR Founder[48:06] The Future of AI in Sales and Marketing[01:00:15] Novel Uses of AI[01:08:54] Closing Remarks and Shoutouts

LucidLink CEO and Co-founder Pete Thompson offers an inside look into how he rapidly scaled LucidLink, a company that transforms cloud storage into an accessible, high-performance drive. Pete discusses the critical steps and strategies that propelled the company from its inception in 2016, through struggles to find product-market fit, to achieving breakthrough success during the pandemic.Key Moments:[00:46] — Spotlight on Pete Thompson of LucidLink[01:42] — LucidLink's Innovative Cloud Storage Solution[03:09] — Finding the Ideal Customer and Product Market Fit[08:02] — Challenges and Breakthroughs During the Pandemic[18:21] — Rapid Growth and Fundraising Success[20:42] — Reflections and Future Outlook[23:05] — Closing Remarks and Recommendations[25:15] — Outro and Subscription InformationYou're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.

ABOUT VINOD MARURVinod Marur is the SVP of Engineering at Databricks. He was previously at Rubrik where he served as SVP Engineering and established a mature engineering organization geared for rapid product development and innovation with a deep focus on product quality and organizational development. Prior to that Vinod spent nearly 15 years in leadership roles across some of Google's most critical business units, including Search, Ads, and Payments as well as tapping into his passion for developer platforms to create and lead the Actions on Google platform, used by third parties to develop for Google Assistant and other Google products. Build AI Voice Agents with ElevenLabsElevenLabs is the leading Voice AI platform for developers with thousands of ultra-realistic, human-like voices across 32 languages.Developers use ElevenLabs to build life-like, conversational AI voice agents to handle customer support queries, appointment scheduling, and even offer personalized 1-1 tutoring.Get started for free at elevenlabs.io/elc SHOW NOTES:Vinod's process for recalibrating his leadership focus / priorities (2:25)Why routine can be dangerous & the mental shift required to prioritize impact (4:17)Examples of pivoting & how Vinod's leadership priorities adapted (7:57)Strategies for assessing core priorities when scaling (9:39)Identifying where the most leverage is for your time (11:05)Signals that it's time to recalibrate your organization's priorities (13:27)Solving for information asymmetry: designing communication and collaboration structures (16:20)Rewriting hiring playbooks & tailoring recruitment pitches in a shifting market (18:56)Hiring tactics that worked five years ago that don't anymore (21:21)The impact of AI on hiring practices (22:55)Current factors impacting hiring engineering leaders (25:30)Vinod's framework for identifying the right problems to solve when transitioning to a new role (27:14)“The best leaders often start small, and progress to tackle larger problems” (28:33)Strategies for accelerating the impact of senior cross-functional partners (29:40)Obsessing over a single organizational goal & identifying champions to carry initiatives forward (31:25)Vinod's latest obsession: the implementation and evolution of operational reviews (33:48)Rapid fire questions (36:36)LINKS AND RESOURCESACQUIRED - Acquired tells the stories and strategies of great companies, hosted by Ben Gilbert and David Rosenthal. Acquired is a depth-first show. Episodes are 3-4 hours long, and are better described as "conversational audiobooks" than "podcasts." Episodes occasionally feature guests, such as the founders/CEOs of NVIDIA, Berkshire Hathaway, Starbucks, Meta, Spotify, Uber, Zoom, CAA, Sequoia Capital, and all five Benchmark partners.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

As AI reshapes the retail advertising landscape, are you leveraging it as a competitive advantage, or are you at risk of being left behind in a data-driven world? Today, we're joined by Uldis Baumerts, Chief Operating Officer of Bryj Technologies, a leader in driving AI-powered innovations for the retail industry. Uldis has extensive experience in transforming the way businesses approach advertising and customer engagement, making him the perfect guest to discuss the transformational role of AI in retail advertising and the future of marketing technology. We're going to be talking about Bryj's recent report, The 2025 Ultimate Guide to AI in Advertising and Retail Marketing, and more Uldis Baumerts, COO at Bryj Technologies, Inc. With over 15 years of experience leading AI-powered product development, large-scale e-commerce platforms, and global IT operations, I specialize in turning strategic vision into innovative, scalable solutions. My leadership is defined by a data-driven approach, technical proficiency, and a track record of delivering measurable business results in fast-paced, high-growth environments. AI & Technology Leadership As COO of Bryj Technologies, I lead cross-functional teams in driving the company's AI-powered mobile engagement platform. I spearheaded the launch of ChatROI, a solution that delivers 15-30% performance uplift for customers and reduces campaign creation time by up to 10-15x. By integrating large language models (LLMs) and Databricks-powered analytics, I ensure our solutions remain at the forefront of innovation, driving both product differentiation and customer success. Key Achievements: Over 15 years of experience in tech leadership, product innovation, and IT operations. Led the growth of a tech organization from 25 to 500+ professionals, with 300% revenue growth over 4 years. Delivered 350+ enterprise e-commerce projects across 23 countries. Launched an AI-powered solution that drove 15-30% performance improvements and 10-15x faster campaign creation for clients. Improved operational efficiency by 20% through agile transformations and scalable delivery frameworks. I am passionate about using AI and emerging technologies to drive innovation, unlock new growth opportunities, and create lasting business impact. If your organization seeks a leader with a proven ability to scale operations, execute complex projects, and deliver cutting-edge solutions, I'm ready to lead the charge. RESOURCES Bryj: https://www.bryj.ai Bryj: AI in Retail Marketing Guide: https://www.bryj.ai/unlock-the-potential-of-ai-in-retail-marketing-with-a-step-by-step-guide/ Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brands Don't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

What should founders and operators prioritize when the market swings 6% in a day? In this episode, Sam, Asad and AJ break down the fallout from historic tariff whiplash, trillion-dollar market swings, and the signals that separate resilient companies from risky bets. They debate:Defensive moves vs. offensive plays: When to cut costs, when to lean into growth, and why “profitable efficiency” is the new mantra.Customer psychology in chaos: Why “delay” is the word of the year—and how to combat it.The global ripple effect: How geopolitical instability impacts hiring, pricing, and even brand perception for U.S. companies abroad.AI, offshoring, and variable costs: Tactics to future-proof your team and margins.Plus, live data from Pavilion's pulse survey reveals how 56% of companies are already adjusting 2025 forecasts—and why the CEOs argue volatility isn't going away. Whether you're debating layoffs, M&A, or just how to sleep at night, this episode is your survival guide."Thanks for tuning in! Want more content from Pavilion? You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:[01:19] – Market Volatility & Whiplash[07:07] – Defensive Strategies for Volatile Times[31:36] – Customer Psychology: Fighting "Delay" Mindset[47:01] – People Strategy: Building a Resilient Team[57:52] – Offensive Plays: When to Attack[01:05:41] – Wins & Fails

Most SaaS companies don't fail because they grow too slowly—they fail because they grow too fast and ignore the warning signs.In this episode of Topline Spotlight, the team engages with Michael Dzik, an operating partner at Radian Capital. Mike shares insights from his extensive experience in the B2B technology sector, discussing the challenges and strategies for companies at different stages of their growth. Key topics include identifying growth stall points, the importance of product flexibility, the role of customer discovery, and best practices in pricing and packaging. Mike emphasizes the need for continuous innovation and reveals how Radian Capital supports companies through various investment approaches. Additionally, Mike recommends notable books he is currently reading, such as 'Blood Meridian' and 'The Mosquito'.Key Moments:00:00 — Introduction to Top Line Podcast00:45 — Spotlight on Michael Dzik02:21 — Radian Capital's Investment Strategy06:05 — Challenges and Solutions in Vertical SaaS19:36 — Insights on Pricing and Packaging21:59 — Book Recommendations and Closing RemarksYou're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.

In this episode, Dipendra Kumar, Staff Research Scientist, and Alnur Ali, Staff Software Engineer at Databricks, discuss the challenges of applying AI in enterprise environments and the tools being developed to bridge the gap between research and real-world deployment.Highlights include:- The challenges of real-world AI—messy data, security, and scalability.- Why enterprises need high-accuracy, fine-tuned models over generic AI APIs.- How QuickFix learns from user edits to improve AI-driven coding assistance.- The collaboration between research & engineering in building AI-powered tools.- The evolving role of developers in the age of generative AI.

Richard Tomlinson, director of product marketing with Databricks, joins host Andrew Miller to discuss data intelligence for self-service analytics including the challenges with self-service analytics, data intelligence for BI, and the capabilities of Genie - Databricks' AI powered assistant. Please visit Business Intelligence Meets AI: Self-Service Analytics that Finally Work to download and explore the eBook. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P  

In this episode, Sam, Asad, and AJ sit down with Ben Kus, Chief Technology Officer at Box, to unpack how AI is reshaping enterprise tech—from the seismic shift to cloud-native infrastructure to the rise of AI agents that collaborate across platforms. We dive into the realities of leading through volatility, why AI adoption is moving faster than past platform shifts, and how enterprises can navigate the “FOMO” of generative AI without sacrificing trust. Plus, Ben's take on the future of software engineering, the myth of “non-technical founders,” and the books that keep him thinking ahead.Thanks for tuning in! Want more content from Pavilion? You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:[01:14] – Meet Ben Kus: Box's AI Visionary[05:26] – Leading Through Volatility: COVID, ZIRP, and AI's Sudden Rise[11:57] – Why AI Adoption Is Moving Faster Than Cloud or Mobile[17:05] – Data Security in the Age of AI: Box's Guardrails[24:17] – AI Agents: The Next Frontier (or Hype)?[31:41] – Open vs. Walled Gardens: The Future of Enterprise Platforms[38:45] – Is Software Engineering Still a Valuable Skill?[46:33] – Stagnation, Patience, and the Long Game

Centralize's Co-Founders Rachit Kataria and William Wang tackle one of the most common sales challenges: deals stall when teams fail to connect with the right stakeholders. Their solution? Visualizing relationship networks to identify gaps, leverage extended connections, and ensure engagement with decision-makers. Listen to this week's episode to learn how to turn relationship intelligence into a competitive advantage in high-stakes sales.3:10 - Why deals are won at the individual level, not account level5:30 - Common multi-threading challenges in complex sales7:15 - Visualizing relationship networks to identify gaps9:40 - Leveraging extended connections to reach decision-makers12:05 - Balancing feature richness with user adoption14:30 - Key takeaways for sales leadersYou're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.

Join Jason Lemkin and Sam Blond as they discuss the evolving role of AI in sales and marketing. Featuring insights from SaaStr's CRO Confidential Series with Rippling, Databricks, and Toast, this episode explores how AI is reshaping the sales landscape. Learn about the impact of AI on productivity, the effectiveness of cold calls, and how technical sales require specific expertise. Don't miss out on these valuable lessons and real-world examples from top industry leaders!   --------------------------------------------------------------------------------------------   Alright everybody in SaaS, this is it.  The biggest, best, most action-packed SaaS + AI event of the year—SaaStr Annual 2025—is coming this May. Three full days. 10,000+ SaaS and AI leaders and more tactical, no-fluff content than you'll find anywhere else.   If you want to scale faster—$10M, $50M, $100M ARR and beyond—you need the right playbooks, the right connections and the right people in your corner. And SaaStr Annual is where it all happens. We'll have 100's of Legendary speakers from companies like Snowflake, HubSpot, OpenAI, Canva, and more. More networking than you can handle—meet your next investor, co-founder, or biggest deal.  A New AI Demo & Pitch Stage— with your chance to win up to $5M in funding!  So don't wait—grab your tickets now at SaaStrAnnual.com with my code jason100 to save $100 on tickets before prices go up. That's jason 100 at saastrannual.com   See you in May!    --------------------------------------------------------------------------------------------   Do you know what would make your customer service helpdesk dramatically better? Dumping it and switching to Intercom.  But, youʼre not quite ready to make that change. We get it!   Thatʼs why Fin, the worldʼs leading AI customer service agent, is now available on every helpdesk.   Fin can instantly resolve up to 80% of your tickets,  Which makes your customers happier. And you can get off the customer service rep hiring treadmill.   Fin by Intercom. Named the #1 AI Agent in G2ʼs Winter Report.      Learn more at : inter.com/saastr   --------------------------------------------------------------------------------------------

Feat. Josh FriedmanLive from Shoptalk Spring in Las Vegas, Phillip and Brian sit down with Josh Friedman, VP of Digital & eCommerce at Ulta Beauty, for an insider look at how one of America's leading beauty retailers is evolving its digital experience. From launching a curated, invitation-only marketplace to expanding into wellness and enhancing in-app experiences, Josh shares how Ulta is blending personalization, innovation, and culture to deepen customer relationships. If you're in ecommerce or retail, this episode is packed with insights on community, category expansion, and retail media.Extending the Endless AisleKey takeaways:Curation Over Clutter: Ulta's invitation-only marketplace prioritizes strategic brand extension over endless assortment, reinforcing its role as a tastemaker rather than a commodity platform.Wellness as a Growth Frontier: Ulta is capitalizing on consumer perception and search behavior to deepen its presence in wellness, positioning beauty and wellbeing as an integrated lifestyle category.Omnichannel Experience, Reinvented: The Ulta app serves as a central digital companion—bridging AR try-ons, real-time inventory, and event discovery to create a seamless, pre- and post-store journey.Community-Led Commerce: Ulta's growing in-app community fosters peer-to-peer engagement and brand interaction, transforming customer relationships into participatory ecosystems.Tech-Enabled Personalization at Scale: Leveraging Adobe, Miracle, and Databricks, Ulta is advancing real-time personalization, AI-powered merchandising, and a retail media network that integrates seamlessly into its broader ecommerce infrastructure.“We're not going after an endless aisle. We're really just going after an extender.” – Josh Friedman“We want the app to be the destination to have beauty and wellness.” – Josh Friedman“We owe it to our customers to requite them with a personalized experience that's relevant to them.” – Josh Friedman“Marketplace should be a gateway into experimenting, growing a bit of a business, and becoming a candidate for our physical shelves.” – Josh Friedman“We all have to understand AI-driven commerce as a totally new mode of shopping—it's not just a new channel.” – Phillip JacksonAssociated Links:Order LORE by Future CommerceCheck out Future Commerce on YouTubeCheck out Future Commerce+ for exclusive content and save on merch and printSubscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!