The Ravit Show

AI workloads do not fail where people expect. They fail where resilience was never designed in. At AWS re:Invent, I spoke with my friend Michael Fasulo, Senior Director for Portfolio, AI Resilience and ResOps, Commvault to understand where AI systems on AWS are actually breaking and what teams should do differently.This conversation was practical and grounded in what customers are seeing today. We covered- Where resilience breaks first in real world AI workloads running on AWS- What ResOps means in simple terms and why it is becoming essential for AWS customers running AI at scale- How architects should think about recovery when AI spreads across S3, DynamoDB, and Iceberg based data lakes- The design rules that make recovery easier instead of more complex- The most important AI driven resilience capability Commvault is building into its AWS portfolio over the next yearIf you are building AI on AWS and assuming resilience will take care of itself, this conversation is a good wake up call.#data #ai #awsreinvent #aws #agents #awspartners #awscompetencypartners #agenticai #theravitshow

Winning AWS Storage Partner of the Year does not happen by accident. It happens because real customers see real value. Commvault did it!!!! At AWS re: Invent, I spoke to John Drake, Head of WW AWS Storage Data Protection at AWS, and Elliot Hujarski, VP, Global SaaS GTM at Commvault, to talk about how this partnership actually works behind the scenes.We spoke about • What it took for Commvault to be named Global AWS Storage Partner of the Year and the journey behind that recognition • How the Commvault and AWS partnership is structured and what each side brings to the table • The concrete ways customers are benefiting, from data protection and backup to cyber recovery and resilience on AWS • How this partnership helps customers simplify complexity while keeping their data safe and ready for AI and analytics • What is coming next and how they plan to expand the joint value for customers in the months aheadIf you care about how to protect and manage data at scale on AWS, this one will be useful.#data #ai #awsreinvent #aws #agents #awspartners #awscompetencypartners #agenticai #theravitshow

At Microsoft Ignite last week, one theme kept coming up in every hallway conversation: SRE teams are exhausted. Right in the middle of that, I sat down with Francois Martel, Field CTO at NeuBird.ai, to talk about how they are trying to change that story together with Microsoft.NeuBird is working closely with Microsoft to bring Hawkeye, their AI SRE assistant, into the Azure world. Instead of giving teams yet another dashboard, Hawkeye connects to signals across your stack and helps answer the basic questions every on call engineer has at 3am: What is actually broken, where should I look first, and what should we try next.Microsoft also featured NeuBird as one of only three startups to watch at Ignite this year. That is a strong signal that reliability and SRE are finally getting a real seat at the AI table, not just sitting behind analytics and chat use cases.In our conversation we went deep on three areas:- The Microsoft and NeuBird partnership and what it unlocks for Azure customers- Why being named a startup to watch matters for a young company in a crowded AI space- The real SRE pain points they are focused on: noisy alerts, slow incident bridges, growing hybrid environments, and burnout on the teams who keep everything runningIf you care about reliability, SRE work, and how AI can support teams instead of adding more noise, this interview will be worth your time.I will drop the NeuBird and Microsoft blogs, the Ignite startup article.#data #ai #ignite #microsoft Microsoft Azure Microsoft Azure Microsoft for Startups #microsoft2025 #copilot #agents #theravitshow

30 people. Over $1B valuation in six months.And a clear signal that AI chat alone is no longer enough.I just sat on The Ravit Show with Wen Sang, Co-Founder & COO of Genspark.Genspark is building an all-in-one AI workspace where AI agents do the actual work. Not just answers, but finished outputs. Slides, sheets, websites, designs, inbox management, and more, all in one place.In this conversation, we break down:- Why Genspark chose execution over conversation- How a 30-person team scaled at an unbelievable pace- What real AI agent workflows look like in production- Why the future of work is moving from tools to AI teammatesIf you are still juggling multiple AI tools, this episode will change how you think about productivity.You can try Genspark with free credits, and they are running two major promotions right now:Jan 1–10 only: Get 40% off any Annual plan. Save $100 on Plus Annual or $1,000 on Pro AnnualUnlimited AI Chat and AI Image usage for all of 2026, with access to top models like GPT-5.2, Claude Opus 4.5, Gemini 3 Pro, Flux, Seedream, Nano Banana Pro, and moreWatch and explore here: https://www.genspark.ai/?utm_source=yt&utm_campaign=ravitshowThis is not another AI chat story.This is about how work actually gets done in the AI era.#data #ai #Genspark #WorkWithGenspark #gensparkpartner #agents #openai #theravitshow

I’m here at Microsoft Ignite!!!! Excited to cover every announcement on ground. Before the big keynotes, I sat down with Shireesh Thota, VP of Azure Databases at Microsoft, for an exclusive conversation that sets the stage for what’s coming.We talked about how Microsoft is redefining databases for the AI era, moving beyond just compute to focus on data power as the real foundation of AI.Shireesh walked me through the key differentiators of Azure Database offerings, how they’re being built to handle the next wave of intelligent workloads, and how Microsoft Fabric is bringing everything together as a unified data platform.We also discussed how Microsoft is infusing AI directly into databases, making them faster, smarter, and adaptive, while also enabling agentic AI systems that can act on insights in real time.And something many don’t know: Microsoft is one of the top contributors to the PostgreSQL open-source project.Shireesh shared how this community collaboration continues to drive innovation and scalability across the ecosystem.We wrapped up with a look ahead, on what’s next in database innovation and how AI will continue to reshape performance, automation, and intelligence at the core of enterprise data systems.This is just the beginning of an exciting week at Microsoft Ignite 2025, stay tuned for more coverage and interviews right from the floor.#Data #AI #BI #AzureData #PostgreSQL #MicrosoftIgnite #Azure #Data #AI #TheRavitShow

Are enterprise agents finally ready for prime time at scale in the enterprise world? At Microsoft Ignite, I sat down with the one and only Jay Parikh, Executive VP, Microsoft, to understand how Microsoft is actually building the full foundation for enterprise grade agents, not just talking about it.In our conversation, we went deeper into what “any agent, anywhere, at any scale” really means for developers and teams who are trying to move from experiments to production.We spoke about:-- How Foundry IQ in public preview changes the way agents connect to enterprise and web data through one secure entry point-- How Model Router being generally available helps teams pick the right model for each task instead of guessing-- Why the new Foundry Control Plane is so important for centralizing agent management and scaling safely-- How Foundry Observability being GA gives teams real time visibility into multi agent systems so they can troubleshoot and improve faster-- What Microsoft Agent Factory solves by bundling 33 products for teams that want to deploy agents quickly without stitching everything together on their ownWe closed by looking ahead at what the next phase of multi agent systems inside large enterprises could look like when you treat agents, data, models, and infrastructure as one connected stack instead of separate pieces.If you are serious about building or scaling enterprise agents, this is one conversation you will want to watch.#data #ai #ignite #microsoft Microsoft Azure Microsoft Azure Microsoft for Startups #microsoft2025 #copilot #agents #theravitshow

Last week at Microsoft Ignite, I finally got to interview the man himself, Arun Ulag, President, Azure Data, Microsoft. I have known Arun for years. He is one of the best in the data and analytics space, and meeting him in person was so good. I have a new friend!!!This was not a surface level chat. We went straight into the big announcements and what they unlock for customers: • The real takeaways from his keynote and how they help enterprises move faster with data and AI • What Fabric IQ actually is, how it works behind the scenes, and why it is a big deal • How customers can start seeing value from Fabric IQ from day one, not after months of setup • What makes Azure HorizonDB for PostgreSQL different and where it fits for modern workloads • What is coming next for data services in the era of AI • How leaders should think about the next 4 to 5 months with all these updates landing at onceIf you are trying to understand where the Microsoft data and AI stack is really heading, this conversation will give you a very clear picture!!!!#data #ai #ignite #microsoft Microsoft Azure Microsoft Azure Microsoft for Startups #microsoft2025 #copilot #agents #theravitshow

Agentic AI does not matter if it stays in slides. What matters is whether it can run safely in production. After AWS re:Invent, I sat down with Hemant Mohan from Amazon Web Services (AWS) for a follow up conversation focused on agentic AI and the AWS and IBM partnership. This discussion was less about announcements and more about what actually changes for enterprises now.Here is the core of what stood out.- AI is moving from response to actionWe are past the phase of just experimenting with models. The next phase is agentic AI systems that can reason, plan, and execute across tools and workflows. Business problems are never single step. They involve legacy systems, approvals, fragmented data, and humans in the loop. Agents are built to work across that reality.- Why the AWS and IBM partnership mattersMany enterprises struggle with the same question. How do we move agents from proof of concept to production without breaking security, compliance, or reliability? This partnership is about solving that gap. AWS brings the trusted, global infrastructure to run agents at scale. IBM brings orchestration, governance, and deep enterprise integration. Together, they give customers a clear path from experimentation to operational trust.- From promise to productionIBM becoming a launch partner for the AWS Marketplace AI and Tools category was an important signal. Customers want flexibility and choice, but they also want enterprise grade controls. This partnership is designed to give them both.- Watson Orchestrate and Amazon Bedrock Agent CoreAnnounced at re:Invent, this integration brings together AWS’s managed runtime for agents with IBM’s orchestration layer. The result is a full agentic stack where agents can run securely, maintain context, be audited, and coordinate across complex business workflows. This is what running agents responsibly actually looks like.- Project BobWe also spoke about IBM’s Project Bob, which tackles a problem many enterprises quietly struggle with. Most development budgets still go toward modernizing old code instead of building new features. Project Bob brings agentic AI into software modernization, helping teams refactor faster, reduce risk, and deal with long standing skill shortages.My takeaway.Agentic AI will not be adopted because it is powerful. It will be adopted because it is trustworthy. The AWS and IBM partnership is focused exactly on that transition.Learn more about the partnership here -- https://lnkd.in/gyRRuvdk#data #ai #awsreinvent #agents #agenticai #aws #enterprise #IBM #theravitshow

Healthcare runs on data. Most of it is still unstructured!!!! I had a great conversation on The Ravit Show with Lyle McMillin, AVP of Product Management at Hyland, where we went deep into how healthcare organizations are turning unstructured content into real decisions.A few points that stood out to me:- Most healthcare data is unstructured. In many organizations, it is close to 80 percent. This includes clinical and admin documents, faxes, emails, and massive imaging files like X-rays, CTs, and MRIs- Hyland’s Content Innovation Cloud is changing how this data is used. Lyle shared how their Intelligent Med Record solution is helping teams move faster. A beta customer, Nebraska Medicine, saw a 99 percent improvement in time to value, with classification accuracy improving from 95 to 96 percent, driven by new LLM-based capabilities.- AI is no longer just about automation. It is about decision support.With Knowledge Discovery, teams can ask natural language questions and get answers with direct links to the exact place in the document. This can cut 60 to 80 percent of the time spent searching and stitching information together.- Agentic AI was the most interesting part of the discussion.From classifying documents to pulling missing records, bundling them, and sending claims back to payers, the system can handle most of the workflow. When humans step in, 80 percent of the work is already done.Healthcare transformation is not only about new systems.It is about finally making sense of the data we already have.#data #ai #agentic #healthcare #unstructureddata #agents #knowledgehub #hyland #theravitshow

I had a chance to attend and cover SHIFT by Commvault in New York last week. I just spoke to Tim Zonca, VP of Product Marketing at Commvault, to talk ResOps, Keynote takeaways and more.What we covered• ResOps in one line and why it matters now• How the Unity Platform turns resilience into daily practice across cloud, SaaS, and on-prem• Synthetic Recovery and what it does to RTO and incident playbooks• Identity resilience for AD with real-time detection and safe rollback• Cloud-native protection with cost and energy views that drive smarter policiesLeaders want AI speed with clean recovery and tighter identity control. Tim breaks down how Unity brings these pieces together so teams can move fast and stay safe. Simple language. Clear outcomes. No hype.My takeSynthetic Recovery plus Cleanroom is a real shift. The AD rollback story closes a gap I see in many incident reviews. The cost and energy view belongs in every daily dashboard!!!!The interview is live now. I will share more clips and floor notes from SHIFT as sessions go up.Check out all the announcement links in the comments!#data #ai #cloud #security #cybersecurity #recovery #resilience #commvault #shift2025 #shift #theravitshow

Most companies think they have a backup problem. What they really have is a recovery problem. I spent the day at Commvault SHIFT, on the ground talking to customers, partners and the Commvault team. I also spoke with Darren Thomson, Field CTO at Commvault, for a focused chat on what they announced and what it means in the middle of real attacks and real pressure on IT teams.In the interview, we got into:-- The new Unity Platform and why Commvault is trying to bring data security, data access, identity patterns and cyber recovery into one view-- How they are thinking about very fast, clean recovery after an attack, not just “we have backups somewhere”-- Cloud Native Protection and what that actually changes for existing customers and large enterprises already deep into cloud-- Identity Resilience and why identity is now part of the data security story, not a separate topic-- Synthetic Recovery and how they use ML signals from anomalies, entropy, threat scans and third party tools to compose a clean state across multiple backup points-- Real world use cases from regulated industries, where downtime and data loss are simply not an optionWhat I liked most is that this was not only about shiny new features, but about how security, backup and AI are starting to come together in one place. For teams who are tired of stitching ten tools to get back up after an attack, this direction will be interesting to watch.If you care about data, security and recovery, this is worth your time.Check out all the announcements links in the comments!#data #ai #cloud #security #cybersecurity #recovery #resilience #commvault #shift2025 #shift #theravitshow

From SHIFT by Commvault New York, I sat with Christopher Mierzwa on culture, clarity, and execution!!!!What you will get• Real takeaways from his panel• Why people, mindset, and culture decide security outcomes• Practical advice for leaders, CISOs, and CIOsHighlights• Culture beats tools when pressure hits. If teams do not trust each other, runbooks stall.• Mindset sets the tone. Treat incidents as system problems, not hero moments.• Practice builds confidence. Short drills with clear ownership move every metric that matters.Advice from Chris• Start with people. Define roles, practice handoffs, review the tape after every drill.• Build muscle memory. Run small, frequent exercises across IT, SecOps, and the business.• Keep the board close. Explain risk in plain language and track progress like product work.My takeSecurity is a team sport. The best programs invest in culture first, then controls.#data #ai #cloud #security #cybersecurity #recovery #resilience #commvault #shift2025 #shift #theravitshow

Stop chasing tools. Start fixing decisions. I spoke to Stephen Sciortino, CEO and Founder of Database Tycoon LLC, at Small Data SF by MotherDuck. Clear takeaways for anyone running or advising a data team.What we covered• The real shift from his Brooklyn Data days to independent consulting• Early signals a team will win vs signs they are in trouble• How AI is changing expectations and what must stay the sameWatch the complete interview! Practical, direct, and worth your time.#Data #AI #SmallDataSF #DataEngineering #AI #Analytics #TheRavitShow

Real-time data is no longer a future problem. At Small Data SF by MotherDuck, I sat down with David Yaffe, Co-Founder & CEO at Estuary, to talk about what has changed in the world of data streaming!!!!A few years ago, real-time data was something most teams put on their “later” list. Expensive. Hard to scale. Too complex for most use cases.But as David shared, that story has shifted fast.Here are some takeaways from our conversation:- Streaming is now viable for everyoneWith cheaper compute, mature tooling, and simpler developer experiences, real-time data isn’t a luxury anymore. The barriers that once made it a niche capability are gone- Batch vs Real-time: Asking the right questionsBefore jumping to streaming, David suggests asking what problems you’re solving — speed for the sake of speed rarely pays off. Sometimes batch is just fine. The goal is fit, not flash- Architecture mattersMoving from batch to streaming means thinking end-to-end: from schema evolution and error handling to observability. Teams that skip this planning end up redoing pipelines- CDC done rightChange Data Capture is powerful, but it’s easy to misuse. The most common mistake? Treating CDC as an ETL replacement rather than an event system. Understanding that difference prevents pain later- The conversation was practical, focused, and refreshing.Real-time isn’t about chasing trends, it’s about enabling faster insights and cleaner data movement with less friction.If you’ve been wondering when “real-time” becomes realistic, this one will give you a clear answer.#data #ai #motherduck #smalldatasf #theravitshow

Small Data. Real outcomes. I covered MotherDuck’s Small Data SF in person and spoke to my long-time connection with Colin Zima, CEO of Omni, to cut through the AI noise in BI. We focused on what actually moves the needle for teams today.Here is what we got into:• Where AI is creating real BI valuePractical wins that ship now, not hype cycles• Flexibility vs governanceHow Omni gives analysts room to explore while keeping the shared truth intact• Why build a modeling layerWhat Omni’s own model unlocks for speed, trust, and how far AI can go• Embedded analytics after the Explo acquisitionWhen it makes sense to put live insights inside your product and what to avoid• Simple over cleverWays AI can remove clicks, clean up metrics, and make BI easier to use• Common mistake with AI in dashboardsTeams bolt on features before they fix definitions and owners• The agent futureIf agents run dashboards tomorrow, why export to Excel might still matterIf you care about getting answers faster with clear guardrails, you will like this one.#data #ai #motherduck #smalldatasf #theravitshow

Small Data is having a big moment!!!! I covered Small Data SF by MotherDuck in person and sat down with Brittany Bafandeh, CEO at Data Culture. We talked about the real blockers to impact and how teams can move faster with the data they already have.Here is what we got into:When it is not a data problem - Brittany walked through a case where dashboards, pipelines, and new tools were not the fix. The real issue was slow decisions and unclear ownership. Once they set decision rights and clear KPIs, outcomes changed without buying more tech.Do you have a data culture or just tools - As a consultant, she looks for simple signals. Are decisions tied to metrics. Do teams review outcomes every week. Are definitions shared. If the answer is no, that is an infrastructure shell without culture inside it.Consultant vs in house - Consultants can push for focus and bring patterns from many teams. In house leaders win by staying close to the business and building habits that last. The best results happen when both mindsets meet.One modeling habit that breaks things - Teams jump to complex models too soon. Brittany’s fix is to model around decisions first. Keep names, metrics, and grain simple. Let complexity come only when the use case proves it.Why this mattersMost teams do not need more tools to get value. They need faster decisions, shared language, and simple models that match the business. Small data, used well, beats big stacks used poorly!!!!I am publishing the full interview next. If you care about real outcomes with the stack you already have, you will like this one.#data #ai #motherduck #smalldatasf #theravitshow

Most companies say they are “doing AI.” Very few are actually ready for it. In my new episode of The Ravit Show, I sat down with Simon Miceli, Managing Director, Cisco, who leads Cloud and AI Infrastructure across Asia Pacific, Japan, and Greater China. He sits right where big AI ambitions meet the hard reality of networks, security, and technical debt.This conversation builds on my earlier episode with Jeetu Patel, President and CPO Cisco and goes deeper into what it really takes to get AI working in production in APJC.Here are a few themes we unpacked:-- Only a small group is truly AI ready- Cisco’s latest AI Readiness Index shows that just a small percentage of organizations globally are able to turn AI into real business value. Cisco calls them “Pacesetters.”- They are not just running pilots. They have use cases in production and are seeing returns.-- We are entering the agentic phase of AI- Simon talked about how we are moving from simple chatbots to AI agents that can take action.- That shift changes everything for infrastructure.- Instead of short bursts of activity, you now have systems that are always working in the background, automating processes and touching real operations.-- AI infrastructure debt is the new technical debt*- Many organizations are carrying years of compromises in their networks, data centers, and security.- Simon called this “AI infrastructure debt” and described how it quietly slows down innovation, increases costs, and makes it harder to scale AI safely.-- Network as a foundation, not an afterthought- One of his strongest points: leaders often think first about compute, but the companies that are ahead treat the network as the base layer for AI.- When workloads double, your network can become the bottleneck before your GPUs do. - The Pacesetters are already investing to make their networks “AI ready” and integrating AI deeply with both network and cloud.Three things leaders must fix in the next 2–3 yearsSimon shared a very clear checklist for CIOs and business leaders who are serious about agentic AI: 1. Solve for power before it becomes a constraint 2. Treat deployment as day one and keep optimizing models after they go live 3. Build security into the infrastructure from the start so it accelerates innovation instead of blocking itThis was a very honest, no-nonsense view of where APJC really stands on AI, and what the leading organizations are doing differently!!!!Thank you Simon for joining me and sharing how Cisco is thinking about AI infrastructure across the region.#data #ai #cisco #CiscoLiveAPJC #Sponsored #CiscoPartner #TheRavitShow

These are some of the most exciting times to be in AI. And some leaders are not just watching the shift. They are building it. Excited to share, I sat down with Jeetu Patel, President and Chief Product Officer at Cisco, for a conversation I have been wanting to do for a long time. Cisco is right in the middle of AI, networking, security, and data, and this interview felt like a front row seat to how the next decade is being shaped.In this episode of The Ravit Show, we spoke about:- The key AI trends Jeetu is seeing right now and how he explains Cisco’s AI vision- What being at the intersection of networking, security, and data allows Cisco to do with AI that most pure AI companies cannot- How AI adoption in Asia Pacific, Japan, Greater China, and India looks different from North America and Europe- Why India is so important to Cisco, both as a market and as a serious talent hub- The early career moments that still shape how he leads today- The one piece of career advice he wishes someone had given him at 25, for everyone starting out in India and across APJCFor me, this was part AI roadmap, part masterclass in leadership at global scale. You can feel how seriously he takes this moment and the responsibility that comes with it.If you care about AI, infrastructure, or building your career in this space, this is one you will want to watch.#data #ai #cisco #CiscoLiveAPJC #Sponsored #CiscoPartner #TheRavitShow

Gartner has named K2view a Visionary in the 2025 Magic Quadrant for Data Integration Tools, and they have moved up inside the Visionary quadrant. This is a big signal for anyone who cares about data and AI in the enterprise.I had to cover this news in person and what better place than my friend, Ronen Schwartz’s home in Palo Alto, talking to him about what this actually means. We did not just speak about a report. We spoke about whether data integration still matters in an AI world and why K2View’s approach is getting attention right now.Here is how I see it.- First, data integration is more relevant than ever. Your AI agents, copilots, and analytics are only as good as the data foundation behind them. K2View’s bet has been simple to understand. Give every business domain a clean, real time, governed view of its data, and make it available to any use case, including AI.- Second, the move up in the Visionary quadrant is about more than a label. It reflects how K2View is executing on this idea of “AI ready data,” not just talking about it. They are helping customers move away from scattered pipelines to a consistent way of delivering trustworthy data products into AI, analytics, and operations.- Third, when you compare their position with the large leaders, you see a different angle. The big platforms are broad. K2View is sharp and focused.They model data around real business entities, not just tablesThey support real time views without forcing you into one storage patternThey are designing with GenAI and agentic AI in mind from day oneFinally, the strategic outlook. Ronen is very clear that this is not about selling “yet another integration tool.” It is about being the data layer that lets enterprises move faster with AI while staying in control of privacy, compliance, and performance.For leaders who are serious about AI and tired of slideware, K2View’s move in the Magic Quadrant is one of those signals worth paying attention to.#data #ai #gartner #gartnermagicquadrant #agenticai #agents #k2view #theravitshow

Some conversations shift how you think about the future of AI. This one did. I just sat down with David Flynn, Founder and CEO of Hammerspace, to talk about something enterprises rarely discuss openly: the real engine behind AI is no longer compute. It is data.We went deep into why NVIDIA’s AI Data Platform has become the blueprint for modern AI architecture and why Hammerspace is emerging as the layer that actually makes this blueprint real for enterprises.David broke down how the industry is moving from building AI around compute to building AI around data. He talked about what the AI Anywhere era looks like, and why the next generation of AI systems will need a global, unified view of data across cloud, edge, and physical environments.We also talked about the partnership with NVIDIA, how it boosts the productivity of agentic AI, and why enterprises will need data that can move as fast as their models. David shared how Hammerspace is preparing for what comes next in 2026 and beyond, from scale to power efficiency to open standards.This is one of those conversations that gives you clarity on where the industry is going and why data architecture is about to become the biggest competitive advantage.#data #ai #nvidia #hammerspace #gpu #enterprise #agenticai #theravitshow