Podcasts about enterprise tech

Podcast: Tech TransformedGuest: Mihir Nanavati, GM and Product Executive in MarTech and AdTechHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAI might have overtaken the industry with processing data, automating workflows, and creating content. The next big thing could be a major one, says Mihir Nanavati, GM and Product Executive in MarTech and AdTech, “AI is moving from managing data to making decisions with it.”In the recent episode of the Tech Transformed podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, sat down with Nanavati to talk about a larger transformation in data and decision-making systems driven by AI.They particularly focus on the integration of agentic AI in marketing and customer data platforms. They explore the challenges of fragmentation in ad tech, the importance of connecting customer data to revenue outcomes, and the transformative role of AI in decision-making processes. Mihir shares insights on how companies can leverage AI to enhance their marketing strategies and the future of first-party data."This is not a cost exercise, it's about how much more you can get done and how many more ideas you can execute," said Nanavati.For years, enterprises went through waves of technological change, including cloud infrastructure, mobile platforms, and customer data platforms (CDPs). Each development helped enterprises collect, store, and manage larger amounts of data. However, Nanavati asserts that humans making most decisions will never change. Now, AI agents are introducing a new model.How AI has Moved from Data Navigation to Making DecisionsIn the past, customer data initiatives aimed to create a unified view of customers. Enterprises built warehouses, ETL pipelines, and data platforms that were designed to be reliable. However, Nanavati suggests that AI agents are changing these expectations. "Machines can reason, and that is fundamentally different."Rather than simply serving as another analytical feature in existing systems, AI agents are increasingly acting as decision-makers. They weigh trade-offs, learn from results, and execute plans based on specific goals.This change has significant implications for customer data platforms. CDPs are not just repositories for customer information now. Instead, they are becoming layers that enable intelligent actions."The role of customer data platforms is evolving into ‘how do you make meaning of this?'" While, decisions about which customer segment to target, which message to send, or which offer to present may increasingly be guided by AI-driven systems.What's the Fragmentation Problem in Modern AdTechWhile AI agents create new opportunities, Nanavati pointed out a persistent issue in the AdTech and MarTech ecosystem – fragmentation. Brands today tend to lean towards deploying multiple advertising and customer engagement platforms. These include social platforms, retail media networks, email tools, and specialised ad technologies. Each system may optimise effectively within its own space, but often fails to connect at the customer level.Nanavati calls it a "paradox of choice." "Each system is optimising locally for its own clicks and conversions, but none of that is coordinated at the consumer level."The result is a customer experience that many consumers notice, alluding to repeated retargeting for products they have already bought, irrelevant recommendations, or disconnected interactions across channels.As enterprises adopt AI agents, fragmented data environments may become an even bigger problem. AI systems can process information quickly, but they still rely heavily on context. "AI doesn't need perfect data in many cases, but it needs context."What's Next for Enterprise Tech?As AI adoption continues, Nanavati believes that successful enterprises will be recognised not by how many experiments they run, but by how fast they learn and use the results."Learn very rapidly. Then scale what you've learned." For leaders, this may require a stronger commitment than just isolated pilot programs or limited rollouts. It may also need organisational changes that place AI decision-making and customer context at the centre of growth strategies.For companies navigating the intersection of AI agents, CDPs, and customer data, the question may no longer be whether AI can automate processes. The ultimate question is about who is calling the shots.Key TakeawaysAI is fundamentally changing how decisions are made in marketing.The shift from third-party to first-party data is crucial for businesses.Fragmentation in ad tech leads to a paradox of choice for brands.Connecting customer data to revenue outcomes is essential for success.AI can help marketers make better decisions without needing perfect data.Customer data platforms are evolving to support real-time decision-making.Companies can run significantly more marketing experiments with AI.Leaders must personally drive change in their Enterprises.Successful AI implementation requires a focus on revenue outcomes.First-party data collection is becoming more sophisticated and essential.Chapters00:00 Navigating the Shift in Data and AI03:03 The Evolution of Decision-Making in Marketing05:55 Challenges of Fragmentation in Ad Tech09:00 Connecting Customer Data to Revenue Outcomes11:56 The Role of AI in Customer Data Platforms14:55 Real-World Applications of Agentic AI18:05 Blueconic's Approach to Customer Growth21:14 The Future of First-Party Data24:02 Building Habits for Successful AI ImplementationListen to the full episode of Tech Transformed for a deeper discussion on AI agents, customer data platforms (CDPs), first-party data strategies and the future of AdTech. Subscribe for upcoming episodes and join the conversation across our social channels.BlueConic LinkedIn: @BlueConicEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFor more information, please visit em360tech.com and blueconic.com.

Patrick Moorhead and Daniel Newman dig into the week's biggest moves in enterprise AI: Anthropic and OpenAI launching PE-backed enterprise JVs on the same day, Anthropic filling its compute gap with SpaceX's Colossus, Cerebris filing for a $3.5 billion IPO, NVIDIA going deep on co-packaged optics with Corning, and a full IBM Think and ServiceNow recap. Plus, for The Flip, hosts debate whether Anthropic, at $1.2 trillion, is the most important company in enterprise tech. The handpicked topics for this week are: 1. Anthropic and OpenAI Launch PE-Backed Enterprise JVs on the Same Day — Both companies announced private equity joint ventures, with OpenAI backed by Bain, Brookfield, and Advent, and Anthropic partnering with Blackstone, Goldman Sachs, Apollo, and General Atlantic. Daniel's read is that this is fundamentally a distribution play, using private equity portfolio companies as a deployment channel for AI at scale. Pat sees it as the clearest admission yet that enterprise AI cannot be self-implemented at scale without specialized consulting support, and flags that mid-tier systems integrators (SIs) could get cut out of the middle. (The Decode) 2. Anthropic Signs Massive Compute Deal with SpaceX Colossus — Anthropic urgently needed compute and SpaceX had 300 megawatts and 220,000 GPUs sitting at Colossus One in Memphis without enough business to fill them. Pat's take is blunt: this move is pragmatic. Anthropic needs it, xAI has it. Daniel adds that Dario himself said they planned for 10x growth and got 80x, and this deal is the fast backfill that reality demanded. The side note both hosts flag: Anthropic is running on H100s, H200s, and B200s, which puts the whole "Anthropic only runs on Trainium and TPUs" narrative to rest. (The Decode) 3. Cerebris Files for a $3.5 Billion IPO at $26.6 Billion Valuation — This marks their second attempt at an IPO after pulling the first filing. The architecture is genuinely unique, a complete wafer with massive on-chip SRAM and interconnects built directly onto the wafer rather than copper or photonics. Pat calls it the first credible Western alternative for AI inference. Daniel's framing cuts through: you do not have to beat NVIDIA to sell right now. You just need to have availability. The more interesting headline, both hosts agree, is that Sam Altman and Greg Brockman are angel investors, which adds fuel to the ongoing OpenAI lawsuit. (The Decode) 4. NVIDIA and Corning Announce $500 Million Optical Partnership — Three new US factories, co-packaged optics for Vera Rubin, and a supply chain strategy that mirrors what NVIDIA did with Coherent. Pat's context: this is vertical integration through investment rather than acquisition. Daniel's observation is that the pace of movement toward co-packaged optics is accelerating faster than anyone expected, and his "rule of and" applies here too. Copper is not going away. Optics are being added on top because the data volumes moving across these racks are outrunning what copper alone can handle. US manufacturing in North Carolina and Texas is a strategic bonus. (The Decode) 5. IBM Think 2026: Day Zero, Sovereign Core, and the Quantum Plus AI Bet — Pat moderated on stage with CEO Arvind Krishna and calls this IBM's best showing in five years. Arvind opened with the AI divide, the gap between companies still running POCs and companies already in production, and framed where IBM sits as day zero, not because nothing has happened, but because enterprise AI deployment at scale is still so early. Daniel's biggest takeaways: watsonX Orchestrate updates, Sovereign Core going GA with policy at runtime, and the Confluent acquisition potentially being IBM's most important asset since Red Hat, given that 40% of Fortune 500 companies run on it and real-time streaming data is foundational to agentic systems. Both hosts land on quantum plus AI as IBM's next inflection moment. (The Decode) 6. ServiceNow Knowledge 2026: Enterprise SaaS 2.0 is Emerging — Daniel got there on day three of the event and noted the conference was densely packed. His observation: enterprises have not gotten the memo from Wall Street that SaaS is supposedly dead. His emerging thesis is that middleware could make a comeback for AI, with companies needing a layer that lets agents work across any infrastructure, any app, and within the rules of their specific business. Pat agrees and adds that the growth question is about mix, not survival. (The Decode) 7. The Flip: Is Anthropic at $1.2 Trillion the Most Important Company in Enterprise Tech? — Daniel took the affirmative citing that Claude Code is deeply entrenched in developer workflows. Anthropic went from $9 billion to $45 billion ARR in months. Every major hyperscaler is both a customer and an investor. The PE JVs are turning verticals into Anthropic engines. Dario said they planned for 10x and got 80x. Pat's counter: the enterprise trust gap is real after what Anthropic pulled on pricing and performance. Microsoft has 2 billion users across 365, Azure, and Copilot. NVIDIA is the infrastructure Anthropic runs on. And workforce replacement, which is how Anthropic extracts its terminal value, is not arriving as fast as the valuation suggests. In reality, both hosts admit their notes looked almost identical. (The Flip) 8. AMD — Lisa Su guided AI data center growth up from 60% to 80%. With OpEx growing 83%, net income up 95%, free cash flow ripping, and CPUs growing at nearly 40% without price increases, Pat reads this as unit market share gains coming soon. Daniel's framing: AMD is now a two-headed juggernaut with CPUs and GPUs for the data center. And Helios has not even started shipping yet. Both hosts take a victory lap for previously calling this one. (Bulls and Bears) 9. Palantir — Triple beat on revenue, EPS, and forward guidance. Rule of 40 at 145%. Government revenue up 84%, 47 deals over $10 million, and the largest guidance raise in the company's history. Daniel's take: Palantir is redefining the category entirely. It's not a software company in the Salesforce or ServiceNow sense. It's technology, plus ontology, plus people, deployed at the deepest layers inside governments and enterprises. Pat adds that the four deployed FTE model lets them stand up AIP POCs within a week, which is why they are winning business at this pace. (Bulls and Bears) 10. ARM — AGI processor demand doubled from $1 billion to $2 billion within 45 days. Record revenue, strong pipeline, royalty growth at 21% for the full year. The stock ripped after hours, then sold the next day when management confirmed only enough supply for $1 billion of that $2 billion demand. Pat's read: 50% CPU market share with hyperscalers at the core level is the most underdiscussed signal on the call. Daniel adds that the worry about ARM competing with its own customer base in custom silicon has been quietly swept away by the sheer volume of compute demand. (Bulls and Bears) 11. Supermicro — A board member allegedly used a hairdryer to remove labels from GPU boxes being shipped to China. Approximately 20% of their revenue has reportedly been illegally shipped to China. They beat on EPS and Q4 guide but missed Q3 revenue versus consensus. Stock still ripped 18%. Daniel's take: if you are selling picks and shovels during a gold rush and you are this messed up, he cannot imagine owning it with the overhang that is building. (Bulls and Bears) 12. Lattice Semi and Coherent — Lattice revenue up 42%, back into growth, guiding to 50% year-on-year at midpoint. The AMI acquisition at $1.65 billion doubles their serviceable market from $6 billion to $12 billion and puts them inside every AI server on the planet at the BIOS and platform firmware layer. Pat calls the timing right: core financials crushing it, time to make a move. Coherent printed 21% year-on-year growth, 55% EPS growth, margins expanding, debt coming down, entered the S&P 500, and sits at the center of the co-packaged optics trend that is accelerating. Pat's choke point note: Indium phosphide capacity is the constraint. Six-inch fabs are doubling capacity in 2026, a quarter ahead of plan, and competitors are still ramping their transitions. (Bulls and Bears) Want the full breakdown from IBM Think and ServiceNow Knowledge, and check out our on-the-ground coverage linked in the show notes. Be part of our community. Hit that subscribe button and let us know what you want us to cover next week in the comments. Intro Pat on Stage at IBM Think https://x.com/PatrickMoorhead/status/2051381046537601101?s=20 The Decode OpenAI and Anthropic Both Launch PE-Backed Enterprise Services JVs on the Same Day — The Palantir FDE Model Goes Mainstream https://www.bloomberg.com/news/articles/2026-05-04/openai-finalizes-10-billion-joint-venture-with-pe-firms-to-deploy-ai https://techcrunch.com/2026/05/04/anthropic-and-openai-are-both-launching-joint-ventures-for-enterprise-ai-services/ https://www.semafor.com/article/05/04/2026/openai-anthropic-ramp-up-enterprise-push Anthropic and SpaceX Sign Massive Compute Deal — Full 300MW / 220,000 GPU Colossus 1 Memphis Data Center Plus Exploration of Multi-Gigawatt Orbital AI Compute https://www.cnbc.com/2026/05/06/anthropic-spacex-data-center-capacity.html https://www.bloomberg.com/news/articles/2026-05-06/anthropic-inks-computing-deal-with-spacex-to-meet-ai-demand https://www.tomshardware.com/tech-industry/artificial-intelligence/musks-spacex-has-rented-out-access-to-its-supercomputers-220-000-nvidia-gpus-and-300-megawatts-of-ai-compute-power-to-rival-anthropic Cerebras Files for $3.5B IPO at $26.6B Valuation — The First Major AI Chip IPO of 2026 https://www.cnbc.com/2026/05/04/cerebras-ipo-ai-chipmaker.html https://theaiinsider.tech/2026/05/06/cerebras-systems-eyes-3-5b-in-largest-tech-ipo-of-2026-on-strength-of-ai-chip-demand/ https://www.briefs.co/news/ai-chipmaker-cerebras-just-filed-for-a-3-5-billion-ipo/ NVIDIA and Corning Announce Game-Changing Optical Partnership — $500M Investment, 3 New U.S. Factories, and Co-Packaged Optics for Vera Rubin and Beyond https://www.corning.com/worldwide/en/about-us/news-events/news-releases/2026/05/nvidia-and-corning-announce-long-term-partnership-to-strengthen-us-manufacturing-for-ai-infrastructure.html https://www.cnbc.com/2026/05/06/nvidia-corning-optical-factories-nc-texas-ai.html https://www.wsj.com/tech/nvidia-corning-form-partnership-to-expand-fiber-optic-manufacturing-17f525de https://kfgo.com/2026/05/06/corning-partners-with-nvidia-to-expand-us-fiber-optic-output-for-ai-growth/ IBM Think 2026 Boston — Watsonx Orchestrate Next-Gen, Confluent Real-Time Data, IBM Concert, and Sovereign Core Define IBM's Agentic Operating Model https://newsroom.ibm.com/2026-05-05-think-2026-ibm-delivers-the-blueprint-for-the-ai-operating-model-as-the-ai-divide-widens https://www.ibm.com/new/announcements/ibm-announcements-at-think-2026 https://www.instagram.com/reel/DX42DlrglOs/ ServiceNow Knowledge 2026 Las Vegas https://www.servicenow.com/events/knowledge.html https://newsroom.servicenow.com/press-releases/details/2026/Cohesity-and-ServiceNow-Deliver-Real-Time-Recovery-for-Enterprise-AI-Agents/default.aspx https://www.cnbc.com/2025/09/04/nvidia-backed-cohesity-eyes-2026-ipo-with-valuation-rivaling-17-billion-rubrik.html   The Flip: Anthropic at $1.2T Now the Most Important Company in Enterprise Tech — More Important Than NVIDIA, Microsoft, or OpenAI FOR: Dual-hyperscaler compute anchor (Amazon $33B + Google $40B = $73B) is structural — unmatched https://futurumgroup.com/insights/anthropics-gigawatt-scale-tpu-deal-with-broadcom-creates-a-structural-advantage/ Constitutional AI safety positioning wins regulated industries https://www.anthropic.com/news/anthropic-nec-japan-ai-engineering-workforce $900B valuation surpasses OpenAI ($852B) at faster revenue growth and lower burn rate https://techcrunch.com/2026/04/30/anthropic-potential-900b-valuation-round-could-happen-within-two-weeks/   AGAINST: NVIDIA still controls the substrate — every Anthropic dollar of revenue requires NVIDIA inference at some layer https://www.cnbc.com/2026/04/27/nvidia-just-hit-an-all-time-high-why-some-think-a-rally-is-just-getting-started.html Microsoft has the enterprise distribution — 365 + Azure + Copilot reach >2 billion users https://www.marketbeat.com/originals/microsofts-maia-200-the-profit-engine-ai-needs/ $900B valuation is venture marketing — the IPO will reset the number https://www.semafor.com/article/05/04/2026/openai-anthropic-ramp-up-enterprise-push   Bulls & Bears: AMD Q1 2026 — Revenue $10.3B (+38% YoY), MI300X Data Center GPU Demand Drives Stock +20% on the Print https://ir.amd.com/news-events/press-releases/detail/1284/amd-reports-first-quarter-2026-financial-results https://www.cnbc.com/2026/05/05/amd-q1-2026-earnings-report.html https://finance.yahoo.com/markets/stocks/articles/amd-q1-2026-earnings-revenue-203331768.html Palantir Q1 2026 — Revenue +85% YoY, US Commercial +133%, Rule of 40 Score Hits 145%; Largest Guidance Raise in Company History https://investors.palantir.com/files/Palantir%20-%20Q1%202026%20Business%20Update.pdf https://www.reddit.com/r/PLTR/comments/1t3t0me/palantir_reports_q1_2026_us_revenue_growth_of_104/ https://finance.yahoo.com/markets/stocks/articles/palantir-technologies-inc-q1-2026-002218719.html https://semiconalpha.substack.com/p/palantir-q1-2026-rewriting-the-rule Arm Holdings Q4 FY2026 — Record $1.49B Quarter, Full-Year Revenue Crosses $4.92B, $2B AGI CPU Pipeline; Stock +16% After Hours https://finance.yahoo.com/markets/stocks/articles/arm-q4-earnings-call-highlights-225942093.html https://www.stocktitan.net/sec-filings/ARM/6-k-arm-holdings-plc-uk-current-report-foreign-issuer-7e9ca9ac7dda.html https://semiconalpha.substack.com/p/arm-q4-fy2026-record-quarter-2-billion Super Micro Computer Q3 FY2026 — Revenue $10.2B (+123% YoY), Strong Q4 Guide; Stock +18% AH on First Earnings Call Since Co-Founder Indictment Drama https://www.cnbc.com/2026/05/05/super-micro-smci-q3-earnings-report-2026.html https://www.stocktitan.net/sec-filings/SMCI/8-k-super-micro-computer-inc-reports-material-event-e70b2f8b3cb7.html https://www.instagram.com/reel/DX42DlrglOs/ Lattice Semiconductor Q1 2026 — Beat-and-Raise Quarter ($170.9M, +42% YoY) Paired With $1.65B AMI Acquisition That Doubles Lattice's SAM to $12B https://www.stocktitan.net/sec-filings/LSCC/8-k-lattice-semiconductor-corp-reports-material-event-642a862b2bf9.html https://www.ami.com/resources/ami-announces-agreement-to-be-acquired-by-lattice-semiconductor/ https://www.linkedin.com/posts/patmoorhead_lattice-semiconductor-posts-beat-and-raise-activity-7457411226944425984-xA8T Coherent Q3 2026 Earnings https://www.msn.com/en-us/money/companies/coherent-cohr-tops-revenue-expectations-in-q3-as-ai-demand-accelerates-shares-decline/ar-AA22Bz24?ocid=finance-verthp-feeds  

Few executives bring the range of perspective that Mari Cross carries into the C-suite. As Chief Customer Officer at Infor, a roughly $3.5 billion enterprise software company with 17,000 employees, 2,000 partners, and 60,000 clients across 175 countries, Cross leads customer success, value engineering, and transformation teams spanning some of the most complex industries in the world.  From discrete and process manufacturing to healthcare and public sector; her path to that seat ran through classical dance in Russia, sStanford business school, and senior roles at Adobe, Nielsen, and Gartner, long before customer experience became a board-level conversation. Today she is applying her diverse experience to one of the most significant transformations in enterprise technology, helping a company that spent years as an acquisition machine reinvent itself as a cloud-first, AI-powered, micro-vertical platform.  Info was built around a simple but radical idea: enterprise software should drive outcomes, not just features.On this episode of The Reboot Chronicles Podcast, we sit down with Mari to unpack what it actually takes to modernize a legacy  ERP company.  Why Infor's micro-vertical strategy is outmaneuvering larger competitors, and what most enterprises get dangerously wrong about AI. Mari breaks down how an open architecture philosophy is changing what is possible for manufacturers and distributors. The last mile of AI adoption is harder than anyone admits.  She shares her perspective on what Koch Industries brings to the table as a long-term investor, and what systems thinking, whether in music, mathematics, or enterprise software, has to do with being a great leader.

Bill Hilf has spent decades enterprise tech, open-source technologies, and AI, from IBM and Microsoft to running Paul Allen's portfolio as the CEO of Vulcan. He now chairs the Allen Institute for AI and American Prairie. His debut sci-fi novel, "The Disruption," imagines AI gone very wrong, and implicitly challenges the industry to think differently about how it's building our real future today. With GeekWire co-founder Todd Bishop. Edited by Curt Milton.See omnystudio.com/listener for privacy information.

Justin sits down with Sanjay Pal, Worldwide VP of Professional Services at IBM, to explore what it really takes to lead services at global scale and why the role is more strategically important now than ever before.Sanjay draws on his journey from Cisco to Accenture to IBM to break down what has fundamentally changed about services delivery in the AI era, and what has stayed the same. He shares how IBM thinks about standardizing delivery across 16 global markets without sacrificing client experience, why the forward-deployed engineer model is gaining momentum, and how professional services leaders need to evolve from deployment executors into trusted business advisors.He also shares a personal story about his father, who wrote 52 books with pen, paper, and a stack of research clippings, and what that means for what's possible now.Chapters[00:00] Intro and Sanjay's Path to IBM [02:33] What's Changed in Services, and What Hasn't [05:00] How AI Amplifies Delivery Without Replacing Judgment [08:01] Standardization vs. Customization at Global Scale [10:38] The Evolving Role of the Services Leader [12:44] Forward-Deployed Engineers and Leading with Services [15:02] Breaking Down Silos Across Pre-Sales, Implementation, and Post-Sales [16:05] What's Top of Mind Heading into 2026

Send us Fan MailToday we're joined by Kareem Yusuf, SVP at IBM, where he leads Ecosystem and Strategic Partnerships. His career journey spans IoT, sustainability, and product growth — and it's more diverse than you might expect. In this episode, we dig into the critical thinking behind building successful partnerships, navigating complex tech ecosystems, and what it really takes to prioritize when everything feels urgent.00:00 Introduction01:15 Meet Kareem Yusuf03:44 Best Job Ever08:03 Career Path13:31 The Ecosystem18:20 The Partner "X" Factor21:05 Prioritization23:18 The Ecosystem Dilemma26:17 IBM Differentiation30:13 Modernizing the Mainframe34:50 Exciting Products37:18 Prioritization Revisited38:46 Leadership39:23 Lightning RoundLinkedin: https://www.linkedin.com/in/kareemyusufWebsite: https://www.ibm.com/partnerplusWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailToday we're joined by Kareem Yusuf, SVP at IBM, where he leads Ecosystem and Strategic Partnerships. His career journey spans IoT, sustainability, and product growth — and it's more diverse than you might expect. In this episode, we dig into the critical thinking behind building successful partnerships, navigating complex tech ecosystems, and what it really takes to prioritize when everything feels urgent.00:00 Introduction01:15 Meet Kareem Yusuf03:44 Best Job Ever08:03 Career Path13:31 The Ecosystem18:20 The Partner "X" Factor21:05 Prioritization23:18 The Ecosystem Dilemma26:17 IBM Differentiation30:13 Modernizing the Mainframe34:50 Exciting Products37:18 Prioritization Revisited38:46 Leadership39:23 Lightning RoundLinkedin: https://www.linkedin.com/in/kareemyusufWebsite: https://www.ibm.com/partnerplusWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailCraig McLuckie is the Founder and CEO of Stacklok and one of the original inventors of Kubernetes — the open-source container orchestration system that became the backbone of modern cloud infrastructure. After leading Kubernetes into the CNCF and navigating VMware's pivot under Broadcom, Craig made a sharp turn and founded Stacklok: an Enterprise MCP Platform designed to make developers and AI agents dramatically more productive in secure, enterprise environments.In this episode, Craig and Al Martin explore what it means to build again after building something that changed the industry — and what the next wave of enterprise AI infrastructure actually requires.In this episode:01:14 Meet Craig McLuckie — background, Kubernetes origins10:08 Tanzu and Broadcom — what that chapter looked like from the inside11:28 Stacklok and the Big Pivot — why MCP, why now19:57 I Don't Know! — a rare founder moment of intellectual honesty21:32 Success is a Poor Teacher — what winning can hide from you23:36 The Future Developer — how AI changes what developers do26:38 Hiring Developers — what Craig looks for nowConnect with Craig: LinkedIn: https://www.linkedin.com/in/craigmcluckie/ Website: http://stacklok.comWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailCraig McLuckie is the Founder and CEO of Stacklok and one of the original inventors of Kubernetes — the open-source container orchestration system that became the backbone of modern cloud infrastructure. After leading Kubernetes into the CNCF and navigating VMware's pivot under Broadcom, Craig made a sharp turn and founded Stacklok: an Enterprise MCP Platform designed to make developers and AI agents dramatically more productive in secure, enterprise environments.In this episode, Craig and Al Martin explore what it means to build again after building something that changed the industry — and what the next wave of enterprise AI infrastructure actually requires.In this episode:01:14 Meet Craig McLuckie — background, Kubernetes origins10:08 Tanzu and Broadcom — what that chapter looked like from the inside11:28 Stacklok and the Big Pivot — why MCP, why now19:57 I Don't Know! — a rare founder moment of intellectual honesty21:32 Success is a Poor Teacher — what winning can hide from you23:36 The Future Developer — how AI changes what developers do26:38 Hiring Developers — what Craig looks for nowConnect with Craig: LinkedIn: https://www.linkedin.com/in/craigmcluckie/ Website: http://stacklok.comWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Kapil Gupta, former Enterprise AI Product & Platform Leader at Cigna, shares insights from more than two decades of turning cutting-edge technology into enterprise-ready products. He unpacks the difference between generative AI and agentic AI, and why governance, user choice, and thoughtful design matter just as much as innovation. Learn how enterprises can scale responsibly and why the best technology often feels invisible to the people using it. Key Takeaways:  The tangible difference between generative AI and agent-based workflows Why adoption depends on fitting into existing workflows, rather than forcing behavior change The challenge of legacy systems and disconnected data How companies can innovate quickly without introducing unnecessary risk How pushing back, probing, and questioning AI can unlock more value Why listening to users matters more than building flashy features Guest Bio: Kapil Gupta is an executive product leader specializing in leveraging emerging technologies to solve complex business problems at scale. As a leader of AI product and platform teams at Cigna and previously at industry leaders like Capital One, Deloitte, and IBM, he has turned breakthrough innovations like Generative AI into practical enterprise solutions.  Kapil is driven by a focus on crafting AI-driven product experiences that solve real problems and ensure high adoption, bridging the gap between sophisticated technology and business value. He balances high-level strategic vision with a passion for staying hands-on, often vibe coding prototypes to prove out new concepts. Kapil holds an MS in Computer Science and an MBA from NYU Stern. He shares his work at kapilgupta.me and lives in New York. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte

Send us a textWhat if your software teams operated like a special operations unit—small, focused, and relentless about the mission? That's the lens Ben Johnson brings to the table as a serial technical co‑founder and CEO of Particle 41, where he's helped launch 94 products and build elite, outcome‑driven teams across software, data, and cloud.We dive into the turning points that shaped his leadership: learning to lead people rather than tasks, aligning cross‑functional teams to a single business outcome, and using radical visibility to dissolve silos. Ben breaks down why maximum capacity beats minimum standards and how to set smart boundaries that prevent burnout while accelerating delivery. He shares a practical framework for managing resistance during automation and AI rollouts, using the seven primal questions to address fear and designing incentives around total output so experts become quality stewards, not casualties of change.You'll also hear how open source habits inside the enterprise—transparent architecture, discoverable repos, fast code reviews—unlock autonomy and speed to trust. We talk about decision paralysis in middle management, why “own the outcome” beats “own the function,” and the Be–Do–Have identity shift that turns elite performance into a habit. Along the way, Ben opens up about faith, purpose, and the kind of legacy that lasts: families that thrive, teams that grow, and systems that keep compounding long after handoff.If you're navigating AI, RPA, or just need a cleaner path from idea to impact, this conversation is a playbook. Subscribe for more candid, practical episodes, share this with a leader who needs it, and leave a review with your biggest bottleneck—we'll tackle it on a future show.Thanks for listening. Please check out our website at www.forsauk.com to hear great conversations on topics that need to be talked about. In these times of intense polarization we all need to find time to expand our Frame of Reference.

AI is no longer a technology conversation, it's an economic reckoning.In this episode of TECHtonic, TSIA's Thomas Lah is joined by J.B. Wood and George Humphrey to unpack the real-world implications of AI Economics through the headlines shaping enterprise tech right now. From Salesforce's AI-driven job cuts to Adobe's competitive pressure, Palantir's services-led growth, and the collapse of traditional SaaS pricing models, this conversation makes one thing clear: the old rules of technology business models are breaking fast.This isn't academic theory. It's a frontline analysis of how AI is reshaping profitability, pricing, org design, customer success, and competitive advantage, right now. The group challenges assumptions around per-user pricing, sales-led growth, and “free” professional services, arguing that outcome-based models, forward-deployed engineers, and value-centric customer engagement are becoming mandatory for survival.If you're a technology executive wondering how to grow profitably in an AI-first world, or whether your current model will survive the next 24 months, this episode lays out the uncomfortable truths and the strategic shifts you can't afford to ignore.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   New Software Pricing Models in the Enterprise Tech Space, Q&A (Darian Chwialkowski, Third Stage Consulting) How to Rescue a Troubled Digital Transformation Project How to Create a Realistic Implementation Plan for Your Project   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Sylvester Wee is a Partner at Sentinel Global, a New York–based, Singapore-anchored venture fund that leads a $200M+ vehicle backing frontier enterprise technologies. At Sentinel, he focuses on enterprise AI, fintech, cybersecurity, programmable finance, and next-gen infrastructure partnering with Series-A and growth teams that demonstrate strong product-market fit and a clear path to commercializing with regulated customers.Before joining Sentinel, Sylvester founded ChrysCard, a U.S.-focused fintech that built alternative credit underwriting and mobile-first financial products to expand access for underserved consumers; ChrysCard was recognized as a winner of the CB Insights FinTech Global Innovation Challenge. Prior to his entrepreneurship, he invested across growth equity and venture at GIC, Singapore's sovereign wealth fund, where he participated in deploying over $1B across global technology and financial services companies.Sylvester's leadership and resilience trace back to competitive sport and military service. He served as an Artillery Officer in the Singapore Armed Forces. Lleading battalion operations and more than 200 personnel, and earning the Sword of Merit—and competed internationally as Singapore's top-ranked tennis player, representing the country in the Davis Cup and Australian Open Juniors. Those experiences inform his founder-first, execution-oriented approach to scaling high-impact enterprise companies.He holds an MBA from Harvard Business School and a B.S. in Economics from The Wharton School.LinkedIn: https://www.linkedin.com/in/sylvesterweeWebsite: https://www.sentinelglobal.xyz

On this episode of Embracing Erosion, Devon sits down with Suyog Deshpande, the Co-Founder and CEO of Webless. Before starting this company, Suyog spent years at some of the most respected names in enterprise tech - Amplitude, Salesforce, and Samsara - helping shape products and go-to-market strategies at scale as a product marketing leader.In their conversation, they explored what an LLM-native web might actually look like in practice—how companies should think about becoming “LLM-ready,” what metrics will matter in a world beyond pageviews and clicks, and how safety and trust need to be built into agent-driven experiences. Suyog also shared lessons from his time in “big tech” that inform how he's approaching this transformation, and we talked about the roadblocks and signals that will determine whether this shift takes hold. Enjoy the conversation!

Welcome to the The Achievers Podcast.  I'm your host, Amber Deibert, Performance Coach. I help enterprise sellers unlock their full potential by aligning their work with how they work and cleaning up mindset trash, so they can sell more, stress less, and take back control of their time and success. If you've been spending months trying to fix your weaknesses and still feel stuck, this episode is your permission slip to try a totally different way. I'll show you how to double down on your strengths instead, and why optimizing for what comes naturally creates faster, more joyful success. Plus, I share the real reason most planning fails… and what to do instead.  

On today's show, we have Tito Obaisi, the Senior Manager of Pipeline and Insights for Comcast NBCUniversal LIFT Labs. Tito leads efforts to identify strategically relevant, enterprise ready AI startups that are at the cutting edge of new technology that not only deliver new capabilities but also shape insights from working with the world's largest media and technology companies. Tito brings a unique perspective on how large organizations can drive innovation through collaboration – the value of an always learning mindset, grounding insights in tangible business needs, delivering insights at the speed of AI. We talk about the disruption of SaaS, Agentic Orchestration, Intelligence Allocation and how Enterprise-Ready startups are spinning up faster, with less people, and more impact for enterprise organizations.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   How Elon Musk's Chatbot Grok Will be Used by Federal Agencies, Q&A (Darian Chwialkowski, Third Stage Consulting) The Future of ERP and AI in 2025 (Senior leaders from Oracle NetSuite, Infor, Epicor, and Priority Software) 4 Digital Strategies That Will Dominate the Future of Enterprise Tech   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Join us this week for The Tech Leaders Podcast, where Gareth sits down with Dr. Nicola Hodson, Chair at IBM UK and Ireland. Dr. Hodson talks about how to manage transformations in complex organisations, how UK Enterprises are adopting AI, and why Quantum computing might be coming sooner than you think. On this episode, Gareth and Dr. Hodson discuss why authenticity is underrated, the evolution of AI regulations, the importance of Polymaths, and how Concorde and a copy of the Encyclopaedia Brittanica inspired her to begin the journey which would lead to IBM. Timestamps: Good leadership, Concorde and the Encyclopaedia Brittanica (2:40) How to drive change in large organisations (9:36) Polymaths (13:50) IBM and Quantum computing (20:00) ITAM Evolution and Hybrid Cloud Management (26:50) Enterprise adoption of Agentic AI (31:10) AI and Graduate jobs (36:40) AI Regulation (41:08) Advice for young IT professionals, and 21-year-old Nicola (43:30) https://www.bedigitaluk.com/

In today's Cloud Wars Minute, I explore how ServiceNow and Nicus Software are teaming up to deliver a financial intelligence layer that helps enterprises optimize their cloud, AI, and IT spending by unifying data across finance, IT, and business units.Highlights00:08 — ServiceNow is working with a partner, Nicus, to deliver a financial intelligence layer for enterprise tech. Interesting angle here: It's trying not just to consolidate the numbers, but to go beyond that. It involves multiple parts of the organization working in concert to really get not only the best data but also the ability to act on it.00:34 — Tom Smith had a conversation with Ron Wastal, the Chief Ecosystem and Partner Officer at Nycus. Wastal described how this works for companies. It's in the category of Technology Business Management, but goes beyond that. Nicus is trying to bring financial teams, IT teams, engineering, and lines of business together to share this intelligence and collaborate.01:22 — Again, this isn't just about saying, “Hey, here's how much is going on.” It's about answering: Where is it happening? Why is it happening? How is it contributing or not contributing to business outcomes? That way, they can optimize the substantial dollars being poured into cloud and AI spending. These optimizations can really add up.02:11 — Why ServiceNow in particular? Why did Nicus want to work with them? Ron explained that the IT data for many big companies lives in ServiceNow databases. That's where they can find out what's really going on. Tapping into those massive data stores allows them to have a huge impact.02:38 — What Nicus does is put a financial intelligence layer on top of that IT data to enable a cycle of understanding, tracking, and optimizing IT spend. It's also leveraging ServiceNow's unique workflows and cutting-edge AI capabilities to take action on these insights. That's the difference Nycus sees in what it does versus others.03:13 — Nicus has developed two specific applications—one for costing and one for planning. These apps are used across the platform to deliver a comprehensive picture of what's going on. This is another example of how ServiceNow is working with world-class partners and ISVs to deliver great business outcomes for customers.This episode is sponsored by ServiceNow. Visit Cloud Wars for more.

991: In this episode of Technovation, Peter High speaks with Rajeev Dham, Partner at Sapphire Ventures, about how venture capital investment in enterprise technology is evolving in the age of AI. Rajeev discusses why he prioritizes first-principles, highly technical founders over playbook-driven approaches, and how enterprise buyers are distinguishing between authentic and superficial AI innovation. Rajeev shares his view on why SaaS remains a powerful model in the AI era, how agentic AI is starting to reshape enterprise use cases, and the profound implications AI has on software development, go-to- market strategies, and business models. He also explains how CIOs can identify the most promising emerging technologies and the cultural change required to adopt them effectively.

In this episode, Daniel Newman and Patrick Moorhead sit down with Jeetu Patel, President and Chief Product Officer at Cisco, to explore the transformative impact of AI on technology and business. Jeetu shares insights into Cisco's strategic focus on infrastructure, security, and partnerships to drive AI innovation. The handpicked topics for this week are:   AI and Industry Transformation: Discussion on the seismic shift in technology driven by AI with special guest: Cisco's Jeetu Patel. Cisco's role in providing low-latency connectivity and reducing GPU idle time. Strategic investments and partnerships for networking and security infrastructure.   Microsoft Build Highlights: Comprehensive end-to-end development cycle offerings from Microsoft with a focus on Agentic Web and AI augmentation. Advancements in AI-assisted code development and security measures.   Google I/O Announcements: Launch of AI mode in search and upgrades to various AI tools. Introduction of real-time translation in meetings. Discussion on Google's competitiveness in the AI space.   Market and Economic Updates: Analysis of bond yields and auctions. Impact of potential new tariffs on EU trade. Discussion on Apple's manufacturing strategy and potential shift to US production.   Earnings Highlights: Strong results from Palo Alto Networks and Snowflake. Lenovo's impressive growth, particularly evident in infrastructure solutions. Expectations for NVIDIA's upcoming earnings report. Indications of strong AI demand and stable CapEx spending.   The Six Five Summit Preview: Teaser of high-profile speakers and AI-focused content, 100% virtual and free to attend.   The Six Five Summit Don't miss The Six Five Summit: AI Unleashed 2025 — a high-impact, four-day virtual event, June 16–19. Explore how the world's leading companies are putting AI into action.

In this episode of Zero to CEO, I speak with Harvard serial founder Shirish Nimgaonkar about how his company, eBlissAI, is leading a new era of agentic AI through self-healing, autonomous systems. Shirish explains why today's enterprise IT systems are falling short and how eBlissAI's platform is transforming endpoint management by combining real-time analytics, predictive insights, and intelligent automation. We discuss how businesses can drastically reduce operational costs, improve user productivity, and gain a superior ROI by adopting AI that not only reacts but predicts and personalizes. With enterprise tech at a tipping point, this episode explores why now is the critical moment to embrace truly autonomous solutions.

In this episode of Tech Sales Insights, Randy Seidl is joined by Dave and Joe O'Callaghan, co-founders of Vation, about their journey and experiences as a father-son duo in the tech industry. They discuss the importance of go-to-market strategies and what leaders can learn from the innovation ecosystem. Sponsored by Sandler, a sales training provider, the discussion delves into the significance of sales training, especially for first-line managers, and explores the evolving roles of technology leaders. Joe and Dave share insights on the challenges emerging tech companies face, the importance of execution and humility, and the growing role of AI and data security. They also highlight the importance of cold calling, the shift in sales training needs, and the evolving skill sets required in the tech industry.KEY TAKEAWAYSFirst Father-Son Duo: Episode features Dave and Joe O'Callaghan, co-founders of Vation Ventures, discussing their father-son dynamic. Business Focus: Highlight on go-to-market strategies from the innovation ecosystem. Importance of Sales Training: Emphasized by Sandler, focusing on training necessity due to promotions during COVID. AI and Security: Special focus on AI trends and the importance of secure AI. Channels and Relationships: The enduring importance of trusting relationships in the channel for effective advice and sales. Cold Calling: Seeing a resurgence, combined with high-quality, AI-supported research. Mentorship and Humility: The fundamental value of being humble, inquisitive, and learning from great mentors. Innovation and Execution: Balancing innovation with execution in today's rapidly evolving technology landscape.QUOTES"Innovation is hard. Innovation at scale is really, really hard." "Humility and inquisitiveness are key in driving innovation and leading teams." "The only person that likes to hear you talk about yourself is your mom." "Distributors can lean into orchestrating everything from Dataiku to Cisco Meraki for a comprehensive solution."Find out more about Dave & Joe O'Callaghan through the link/s below:Dave O'Callaghan's LinkedIn: https://www.linkedin.com/in/daveo4/Joe O'Callaghan's LinkedIn: https://www.linkedin.com/in/joeyocallaghan/This episode is sponsored by Sandler. Sandler is a world leader in innovative sales, leadership, and management training. For more than 50 years, Sandler has taught its distinctive, non-traditional selling system and highly effective sales training methodology, which has helped salespeople and sales managers take charge of the process.

Product-market fit doesn't always start with innovation. Sometimes, it starts with frustration. That's exactly how Pulpo WMS began: not as a genius idea in a boardroom, but as a real-world pain point inside a medical warehouse. Highlights include: Has Anyone Actually Tried This? (03:53), Where did Rebillia's First Customer Come From? (09:33), The Product-Fit Moment (13:05), and more… Stay updated with our podcast and the latest insights in Outbound Sales and Go-to-Market Strategies!

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

OpenAI has done it again. The AI giant closed $40 billion in fresh funding (kind of) led by Softbank, We debate the bull and bear case for OpenAI's $300 billion valuation. Eric sticks to his guns from his previous bear case, but Madeline is more optimistic about OpenAI's consumer revenue.We also go over the latest in the Deel/Rippling corporate espionage saga and dig into Eric's reporting on the Deel spy's confession. Plus, Elon Musk is reportedly stepping back from his hands on role in Washington in the coming weeks.In the second half of this week's episode, Eric interviews Clay CEO and cofounder Kareem Amin, who topped the Enterprise Tech 30 list on mid-stage startups.Time stamps00:00 — Announcing Cerebral Valley London03:26 — Is OpenAI worth $300 billion?11:00 — The Deel Spy Confession16:09 — Elon Pulls Back in DC22:40 — Clay's Kareem Amin Talks Marketing Agents

Episode 50 | AI Agents in ActionThe Big Themes:The Rise of 'Agent Ratios': As companies roll out more AI agents, the "agent-to-human ratio" could become a useful AI maturity indicator. Currently, we're seeing early adoption — with Oracle reporting that only 5–10% of its customers have put agents into production. These early use cases focus on low-risk, easily-automated tasks. It's a cautious start, but the trajectory is upward. Bonnie points out that once the groundwork is laid, the pace of adoption will likely accelerate, yielding increased productivity.Four Smart Questions for Evaluating Enterprise AI Initiatives: To help customers decide whether to adopt AI capabilities, Bonnie offers four key questions: (1) Is it available to me? Not all customers have access to AI features; infrastructure matters. (2) Do I need or want it? Weigh the risk-reward tradeoff, especially in terms of time and internal resources. (3) Is my data protected? Ensure your vendor offers strong governance and compliance support. (4) What is the time to value?Knowing When to Leap and When to Wait on AI Adoption: Should companies wait or dive into AI now? Her advice: it depends. If your organization is in a fast-moving, innovation-driven sector, early adoption is essential to stay competitive. Waiting could mean falling behind. But for highly regulated industries or companies unused to rapid tech change, a cautious approach makes sense.

CEO and Principal Analyst at Amalgam Insights, Hyoun Park helps CIOs & CFOs create the ROI and strategic business cases for better AI and IT FinOps. He is also host of the weekly podcast, This Week in Enterprise Tech. In this episode Hyoun discusses some of the quick AI wins for finance departments. My journey Starting as a CRM administrator to analyst  Cloud spend getting out of control (unexpected cloud bills for $20m!) AI use cases: invoices, contracts, billing and spending contracts (dealing with 1000 software contracts) and reconciliations Agentic AI and uses in Finance  Zero based budgeting and Forecasting in the AI age  ROI for AI investment People who will lose their jobs in AI in finance vs those who will survive   My futurist prediction  Connect with Hyoun on LinkedIn: https://www.linkedin.com/in/hyounpark/ Host of weekly podcast, This week in Enterprise Tech: https://www.buzzsprout.com/2319034  http://www.amalgaminsights.com/

This is a replay of our first episode from April 12, featuring Databricks VP of AI Naveen Rao and a16z partner Matt Bornstein discussing enterprise LLM adoption, hardware platforms, and what it means for AI to be mainstream. If you're unfamiliar with Naveen, he has been in the AI space for more than decade working on everything from custom hardware to LLMs, and has founded two successful startups — Nervana Systems and MosaicML. Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

Another Trump presidency could bring significant implications for enterprise tech, particularly through a focus on deregulation, increased M&A, and expanded Big Tech investments. this also extends to advancements in military technology, Israel's influence on cybersecurity, the impact of initiatives like StarLink and rural broadband on connectivity, nuclear energy, AI, the CHIPS Act, and the expanding space industry. Altogether, these insights suggest that a pro-deregulation agenda, aiming to remove ten regulations for each new one introduced, could profoundly shape the future of enterprise technology. This and more on the Gestalt IT Rundown. Hosts: Stephen Foskett: Foskett: https://www.linkedin.com/in/sfoskett/ Jack Poller: https://www.linkedin.com/in/jackpoller/ Follow Gestalt IT Website: https://www.GestaltIT.com/ Twitter: https://www.twitter.com/GestaltIT LinkedIn: https://www.linkedin.com/company/Gestalt-IT #Rundown, #AI, #CHIPsAct, #CyberSecurity, #PrivateCloud, @GestaltIT, @TechFieldDay, @TheFuturumGroup, @SFoskett, @Poller, @MitchellAshley, @OktaDev, @AWSCloud, @Microsoft, @Cloudera, @Google, @GoogleCloud, @Supermicro_SMCI, @NVIDIA,

What if value-based care is the future of healthcare? This would mean a shift towards preventing illness rather than solely treating symptoms. Kira Radinsky, a pioneer in AI-driven healthcare, develops innovations that enable healthcare providers to predict patient risks and intervene early. In this episode, Kira reveals how predictive analytics can empower practice owners to personalize care, drive better patient outcomes, and achieve greater efficiency in their operations. Kira Radinsky is a visionary in AI-driven healthcare solutions. She is the CEO and co-founder of Diagnostic Robotics, which uses AI to enhance healthcare efficiency. In 2015, Forbes named her to its 30 Under 30 list in Enterprise Tech. In this episode, Kevin and Kira will discuss: - Kira's journey from tech to healthcare - How AI is transforming healthcare predictions - Reducing ER wait times with AI - Shifting from treatment to prevention in healthcare - The impact of value-based care on patient outcomes - Kira's strategies for effective team building and leadership - The importance of adaptability and resilience in business - Lessons learned from scaling her company - Overcoming barriers to AI adoption in healthcare - How predictive care could shape audiology's future - And other topics… Kira Radinsky is the CEO and co-founder of Diagnostic Robotics, where she leads the development of AI-driven solutions that are transforming healthcare. She is a prominent Israeli computer scientist and entrepreneur known for her pioneering work in predictive analytics. She gained recognition for developing algorithms that predicted significant events, such as the 2012 cholera outbreak in Cuba. She has been recognized globally for her work in predictive analytics, including being named one of MIT Technology Review's 35 Innovators Under 35. She also serves as a visiting professor at the Technion, focusing on predictive data mining in medicine. Connect with Kira: Kira's LinkedIn: https://www.linkedin.com/in/kira-radinsky/  Resources Mentioned: Diagnostic Robotics Website: https://www.diagnosticrobotics.com The Only Thing: If you're an audiologist and want to grow your practice – we've got a FREE, expert guide to help you achieve your goals. It's called The Only Thing.  This expert guide will show you how to increase new patient calls by 5 to 57 a month, schedule more new patients each week, help more people, and increase revenue. It's the best resource I know for growing your audiology practice. Get your copy for free at http://medpb.com/mastery.

How can product leaders scale enterprise tech businesses? In this episode of Product Talk hosted by Sid Shaik, Globalization Partners SVP and Head of Product Gangadhar "GK" Konduri shares his extensive experience building and scaling products across various industries, including customer data platforms, digital customer experience, and HR tech. Listeners will gain valuable insights into establishing product-market fit, navigating compliance requirements for SaaS product, and the role of AI in product development.

Do you want to have tech companies and venture capitalists as your clients? This can be very lucrative and interesting. If the answer is yes, listen to this episode.  This interview was originally aired on the Rainmaking Podcast with Scott Love.   Timestamps 03:02 Why the Tech Industry is still young 06:10 Choosing Tech as a Niche 08:04 Consumer vs Enterprise Tech 13:54 Mindset Differences in Selling to Tech Clients 14:53 Importance of Relationships and Experience 22:59 Action Step: Get Involved in Tech Accelerators 24:17 Action Step: Add Value as a Mentor or Advisor 27:35 About Tech for Non-Techies   For more free career & tech lessons, subcribe to Tech for Non-Techies on Apple Spotify YouTube   To discuss a corporate training program for your organisation, book a consultation call here.  Happy clients include The Royal Bank of Scotland, Oxford University and Constellation Brands.  ---    For the transcript, go to: https://www.techfornontechies.co/blog/rainmaking-show-how-to-get-tech-clients-in-professional-services We love hearing from our readers and listeners. So if you have questions about the content or working with us, just get in touch on info@techfornontechies.co   Say hi to Sophia on Twitter and follow her on LinkedIn. Following us on Facebook, Instagram and TikTok will make you smarter.

Join us as we talk to the co-founders of Whatfix - Khadim Batti and Vara Kumar Namburu about their story. Khadim earned his Bachelor's degree in Engineering from University of Mumbai and a post graduate degree in IT from IIIT Bangalore. Starting his career at CMC Ltd., he worked at Huawei, Applabs Technologies and Kenexa. He co-founded Whatfix in 2013 with Vara. Vara completed his Bachelor of Computer Science and then pursued his Masters in Computer Application from Jawaharlal Nehru Technological University. He joined Huawei, where he met Khadim and joined forced with him to start Whatfix.

Ronald McCollum (@RonaldMcCollam, Solutions Engineering @GrafanaLabs) talks about updates in the observability space and learning more about Grafana and data visualization.SHOW: 799CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to date with Enterprise Tech with theCUBELearn More About Azure Offerings : Learn more about Azure Migrate and Modernize & Azure Innovate!Azure Free Cloud Resource Kit : Step-by-step guidance, resources and expert advice, from SHOW NOTES:Grafana (homepage)Getting Started with Grafana Book by RonaldTopic 1 - Welcome to the show. Before diving into today's discussion, tell us a little about your background.Topic 2 - We last talked about Grafana back in 2019 and 2020. Observability continues to be a hot topic, how are you seeing the open-source community and open-source tools evolve in this space?Topic 3 - We always hear about Grafana as a visualization tool. Grafana AND something (Grafana and Prometheus, Grafana and (insert logging/observability tool here). Is that still a fair assessment? Where does Grafana fit in a modern cloud-native observability stack these days?Topic 4 - When you are speaking to folks out there, where does the data visualization story resonate the most in the organization, and does it become at times political and cultural (meaning cultural changes need to happen)? There can be an ROI/Business case to be made; developers integrations that will need to happen, SRE operations changes, etc. How do you get something that likely spans many different parts of the organization on board?Topic 5 - Anytime I think about observability I think in two stages. Identification of the problem and resolution of the problem. Some tools address one or the other, and some attempt to do both. Where does Grafana fit on this continuum?Topic 6 - I have to ask the AI question. How has AI changed or in your opinion will change observability and visualization in the near future?Topic 7 - You've literally written the book on Grafana so this is a softball question. For those who are interested, how would you recommend they get started with GrafanaFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Shreya Rajpal (CEO and Co-Counfer @ Guardrails AI) talks about the need to provide guardrails and validation of LLM's, along with common use cases and Guardrail AI's new HubSHOW: 797CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Learn More About Azure Offerings : Learn more about Azure Migrate and Modernize & Azure Innovate!Azure Free Cloud Resource Kit : Step-by-step guidance, resources and expert advice, from migration to innovation.CloudZero – Cloud Cost Visibility and SavingsFind "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to date with Enterprise Tech with theCUBESHOW NOTES:Guardrails AI (homepage)Guardrails AI HubGuardrails AI GitHubGuardrails AI DiscordShreya on TWIML podcastGuardrails AI on TechCrunchTopic 1 - Welcome to the show. Before we dive into today's discussion, tell us a little bit about your background.Topic 2 - Our topic today is the validation and accuracy of AI with guardrails. Let's start with the why… Why do we need guardrails for LLMs today?Topic 3 - Where and how do you control (maybe validate is a better word) outputs from LLM's today? What are your thoughts on the best way to validate outputs?Topic 4 - Will this workflow work with both closed-source (ChatGPT) and opensource (Llama2) models? Would this process apply to training/fine-tuning or more for inference? Would this potentially replace humans in the loop that we see today or is this completely different?Topic 5 - What are some of the most common early use cases and practical examples? PII detection comes to mind, violation of ethics or laws, off-topic/out of scope, or simply just something the model isn't designed to provide?Topic 6 - What happens if it fails? Does this create a loop scenario to try again?Topic 7 - Let's talk about Guardrails AI specifically. Today you offer an open-source marketplace of Validators in the Guardrails Hub, correct? As we mentioned earlier, almost everyone's implementation and guardrails they want to implement will be different. Is the best way to think about this as building blocks using validators that are pieced together?  Tell everyone a little bit about the offeringFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

This week, Mary Ann Azevedo and Alex Wilhelm took to the mics to chew through funding rounds and trends galore. Enjoy, and don't forget that our interview with Aileen Lee is here.Pomelo: $40 million more dollars for Latin American fintech? It's the perfect Mary Ann story. Even better, we got growth data from the company to noodle on. It turns out you can raise up rounds in 2024!Tandem: Alex chose the Tandem Seed round for his deal of the week, even if he doesn't want to use it. In short, couples of all types have different money management needs, making Tandem a potential hit.Briq: Mary Ann has been covering this company for some time, making its recent extension round well worth our time.AI and the enterprise: AI is going to change everything, AI is going to make your job irrelevant, AI is going to eat your lunch. So we hear. The enterprise, however, is singing a slightly different tune.Valuations, and their potential recovery: Sadly it doesn't seem too likely that we are about to see a massive rebound in startup valuations this year. The good news? It doesn't seem too likely that we are about to see massive price erosion, either.For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more! Credits: Equity is hosted by Editor in Chief of TechCrunch+ Alex Wilhelm and TechCrunch Senior Reporter Mary Ann Azevedo. We are produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.