The Ravit Show

I had a blast chatting with Anthony Anter, DevOps Evangelist at BMC Software on The Ravit Show and this one goes deep into a topic many enterprises are struggling with quietly. Mainframe modernization. Not tools. Not hype. Real ground reality.We started with a simple but uncomfortable truth Tony writes aboutBefore you even think about converting code, explain what you already have.That single line sets the tone for the entire conversation.- We talked about why so many COBOL to Java projects fail even before they begin.- Why teams rush into conversion without understanding decades of business logic buried in code.- And why mainframe systems often look like a long game of telephone, where intent is lost but code survives.A big part of the discussion focused on generative AI.Not as a magic converter, but as a way to explain, map, and document existing systems before touching a single line of Java.When teams finally see dependencies and flows clearly, the surprises are often eye opening.We also broke down a critical distinction that is often ignoredCode explanation is not the same as code translation.Missing this is where most modernization programs go wrong.Tony also shared why refactoring before rewriting matters, what practical cleanup really looks like, and how GenAI can help create Java code that is actually maintainable, not just converted.One part I personally found valuable was the balance between automation and human expertise.Where AI helps, where humans are still irreplaceable, and what governance is needed so AI output can be trusted.We wrapped with Tony’s checklist for smarter modernization and one clear takeaway for anyone working on or around mainframes today.If you are a CIO, architect, or mainframe professional thinking about modernization, this conversation will save you from expensive mistakes.#data #ai #mainframes #bmc #theravitshow

AI is moving fast. But the data foundations underneath it are not. That is the core theme of my latest interview with Rajan Goyal, Founder and CEO of DataPelago on The Ravit Show, recorded at their office in Mountain View.Here is what we unpacked -- Why now- Three shifts are colliding at once. Hardware acceleration is now mainstream. Generative AI has changed how data is created and consumed. Data complexity has exploded beyond what existing systems were designed to handle. The result is clear. Enterprises do not just need faster systems. They need a more unified data foundation.Where the tension is- AI models are advancing quickly, from multimodal systems to agents and domain-specific LLMs. But the data infrastructure beneath them is still built for an analytics-first world. Most companies spend more time moving data between systems than actually innovating with it.What DataPelago is building- We spent time breaking down DataPelago Nucleus, described as the world’s first universal data processing engine. One engine that can handle batch, streaming, relational, vector, and tensor workloads together. The key idea is simple but powerful. Ingest, transform, and query data without constantly moving it across systems.We also talked about what makes their approach different.- A DataOS layer that intelligently maps workloads across CPUs, GPUs, and other accelerators.A DataApp layer that plugs into engines like Spark and Trino.And DataVM, a data-focused virtual machine that unifies execution across heterogeneous hardware.Why Spark acceleration matters- For teams running Spark today, we discussed the DataPelago Accelerator for Spark. It runs existing Spark workloads on accelerated compute with zero code changes. Faster joins, shuffles, preprocessing, and lower cost, without rewriting pipelines.Why today’s stack is breaking- Warehouses, lakes, and lakehouses were built for SQL analytics. AI workloads need tight coupling between data and compute. The separation we see today leads to redundant pipelines, silos, and expensive data movement. Many teams are forced to optimize for analytics or AI, but not both.Why DataPelago was founded and what customers see- The founding insight was clear. Data systems were never designed for AI-scale throughput. Customers adopting this approach are unifying analytics and AI pipelines on one platform, simplifying infrastructure while improving performance, governance, and observability. Rajan made an interesting comparison. This shift for data processing is similar to what GPUs did for compute.What’s next- We closed by talking about how the data and AI relationship will evolve over the next few years, and what this looks like in real-world deployments. That is what the next episode will dive into.If you are building AI systems and still relying on analytics-era data foundations, this one is worth your time.#data #ai #gpu #datapelago #lakehouse #sql #analytics #theravitshow

AI pilots are not the story anymore. The real story is who can turn AI into everyday, reliable work. Here at AWS re:Invent, I had the chance to sit down with Arvind Jain, Founder and CEO of Glean, for a conversation I have wanted to do for a long time!!!!We spoke about why so many enterprises are stuck in pilot mode and what actually has to change for AI to move from experiments to real impact on how people work. Arvind went deep on why enterprise context is still missing in most AI projects and what it looks like in practice when you finally get that piece right.We also talked about what CIOs and CTOs are really worried about this week at re:Invent. Not the buzzwords, but the hard problems around adoption, scale, and the misconceptions that keep slowing teams down!Since so many organizations here already run on AWS, I asked Arvind how the Glean and AWS partnership shows up in the real world. He shared how customers are thinking about reliability, security, and scale, and what a simple, low-risk starting point looks like if you want to see value fast.To close it out, Arvind shared one clear prediction for where AI is heading by 2026 and how it will change the way organizations think about work.Thanks Arvind Jain for always sharing amazing insights!!!!#data #ai #awsreinvent #aws #agents #awscompetencypartners #agenticai #theravitshow

The future of reliability is not one tool. It is a team of agents working together. At AWS re:Invent, I had a chat with Francois Martel, Field CTO at NeuBird.ai, to talk about how AI is changing the way developers and SREs handle reliability in the real world.Here are the key takeaways from our conversation-- Coding agents are becoming the front door to AITools like GitHub Copilot and Cursor are getting massive adoption. When paired with NeuBird’s Hawkeye agentic SRE server, these agents can jump straight into root cause analysis and even take action to remediate issues-- SREs are a natural fit for agentsSREs already live in the command line and think in scripts. Coding agents are an easy and practical entry point for bringing AI into day to day SRE workflows-- Agent adoption is speeding upWe are past experimentation. Customers are seeing value from early use cases, which is pushing broader and faster adoption of agent based systems-- Enterprise security still mattersFor larger organizations, NeuBird can deploy the agent inside the customer’s VPC. The data stays in their environment and the full data path remains under their control-- AWS partnership momentumNeuBird is launching a pay as you go offering on the AWS Marketplace. This makes it one of the first agentic SRE servers you can try without long term commitment and connect to tools like AWS, Datadog, Dynatrace, and GrafanaIf you want to see how agentic SRE works in practice, you can start with the pay as you go option or the two week free trial and pairing it with your favorite coding agent.It was great catching up with François again and seeing how NeuBird is pushing the agentic SRE space forward.#data #ai #awsreinvent #aws #agents #awspartners #copilot #agents #theravitshow

Frontline healthcare is where AI either proves itself or stays a buzzword. At AWS re:Invent, I sat down with Max Mosky from TouchPoint Support Services, a Qlik customer working across more than 650 healthcare facilities!!!!Max and his team support the people who are closest to patients. I wanted to understand how they are using data and AI to make life easier for frontline staff, not harder.We spoke about- What TouchPoint Support Services does and Max’s role in supporting frontline teams- The day to day challenges their staff face inside hospitals and care facilities- Why they chose to partner with Qlik and AWS instead of trying to build everything in house- How Qlik Answers is bringing AI into frontline operations and what has changed for staff and patients so far- How AWS Bedrock and Qlik work together behind the scenes to deliver real time support at scale- What it means for Max and the team to be recognized as an AWS GenAI Trailblazer- If you care about how AI can support real people in real hospitals, this one will be worth your time.#data #ai #aws #reinvent2025 AWS Partners #analytics #agents #agenticai #qlik #theravitshow

Where your data lives will decide what AI you can run tomorrow. On The Ravit Show at AWS re:Invent, I spoke to Jessica DuBois, Senior Director for the AWS partnership at Qlik. Jessica is right at the center of how Qlik and AWS work together for customers.We spoke about- Her role in leading the Qlik x AWS partnership and how that work shows up for customers in real projects- How she describes the Qlik x AWS partnership today and why it has become so important for customers who want trusted analytics and AI on AWS- Why data sovereignty is now a non negotiable topic in boardrooms and how Qlik becoming a launch partner for AWS European Sovereign Cloud opens new options for customers with strict regulatory needs- What this means in practice for organizations in regulated industries who want to move faster with analytics and AI without losing control of their data- Where she sees the Qlik and AWS partnership heading as we move into 2026 and the next wave of AI driven use cases- If you care about data sovereignty, trust, and how partners like Qlik and AWS are shaping the next phase of AI, this one is a good listen.Feel free to follow Jessica and learn more about the partnership!!!!#data #ai #aws #reinvent2025 AWS Partners #analytics #agents #agenticai #qlik #theravitshow

At the AWS re:Invent in Vegas, I spoke to Christopher Powell, CMO at Qlik. We last spoke at Qlik Connect 2025 in Florida, so this was a good moment to step back and look at what has changed since then.In our conversation, we covered- What Chris and the Qlik team have been focused on since Qlik Connect and how priorities have evolved through the year- The announcements from AWS re:Invent that stood out most to him and why they matter for customers- Qlik’s new master reseller partnership with Megazone Cloud in Korea and why this collaboration is strategically important for the region- How Qlik’s push into agentic AI is shaping customer adoption and what to expect over the next year- Why the AWS partnership continues to be a core pillar for Qlik and where the biggest opportunities lie- The trends Chris is watching as we move into 2026 and what they mean for data and AI leadersIf you want a clear view of how Qlik is thinking about AI, partnerships, and what is coming next, this conversation is worth your time.#data #ai #aws #reinvent2025 AWS Partners #analytics #agents #agenticai #qlik #theravitshow

At AWS re:Invent I spoke to Woon Ho Jung, CTO for Cloud Native at Commvault, to talk about how they are helping AWS customers protect more than just one type of workloadWe spoke about how they started with BackTrack for S3 and now support DynamoDB and Apache Iceberg, and what real problem that solves when your data is spread across so many services!For teams who are new to Apache Iceberg on AWS, I asked Woon to break down the basics. What do you need in place so that recovery is not a theory, but something you can rely on when a table, job, or pipeline goes wrong!If you care about resilience across modern AWS workloads, this one will be worth watching.#data #ai #awsreinvent #aws #agents Amazon Web Services (AWS) AWS Partners AWS Events #awspartners #awscompetencypartners #agenticai #theravitshow

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