The Ravit Show

Speed to insight wins. If analytics does not move faster than the business, it gets ignored.I caught up with the amazing Deborah from Alteryx at Big Data London to talk about what is working right now.We spoke about — • The floor is hands on this year. Fewer slides, more real builds • Alteryx One fits that mood. One place to prep, analyze, automate, and share so teams move faster • Customers are turning hours into minutes on routine work. More people can self serve without waiting in line • The edge is in clean handoffs. Less copy and paste, clearer ownership, smoother reviews • Next up is scale with control. Bring governance into the same flow so speed does not slipWe will keep the conversation going! Don't forget to follow Deborah for the great work she does in the Data & AI space!!!!#data #ai #alteryx #theravitshow

Orchestration is where AI work meets reality. If it fails, everything slows.I caught up with Luke Lipan, Sales Leader for North America at Kestra, to get the view from the field.Here's the signal:Execs start with risk and reliability. Is it visible. Is it repeatable.Teams love open source to move fast. Scale, support, and ownership tip them to enterprise.Security and governance are not add-ons. They decide the deal.Success is measured in fewer incidents, faster cycles, and cleaner handoffs. Cost is a result, not the target.Consolidation is happening. One platform beats a patchwork when the stakes rise.If you are at Big Data London, meet the Kestra team at Booth N48.#data #ai #bigdataldn2025 #kestra #theravitshow

Declarative beats duct tape. I spoke to Eddie Jaoude, Lead Education Engineer at Kestra at the Big Data London, to unpack how teams actually ship with modern orchestration.Here is the flow we covered:* Why defining workflows declaratively changes the game for developers coming from Python DAGs* How teams adopt Kestra step by step without a risky forklift migration* Using the Playground in Kestra 1.0 to test steps safely and tighten the feedback loop* Plugging into existing stacks with plugins and a language-agnostic design so you do not rewrite everything* The first usage patterns Eddie sees in the wild, from scheduled jobs and data pipelines to event-driven tasksClear takeaways. Fewer moving parts. Faster iteration. Stronger reliability.#data #ai #kestra #bigdataldn #theravitshow

Everyone is racing to build AI. Almost no one is securing it end to end. I sat down with Vidya Shankaran, CISSP, Field CTO, Commvault and we talked about the real picture. AI risk is not just about models. It is about data, access, and clean recovery. Most teams are missing the biggest gaps.We covered:• The top AI security threats right now and where teams underestimate risk• The AI stack no one is securing in practice• If a CISO asks where to start and how to prioritize controls• Why traditional data access governance is broken• What is at stake if enterprises do not modernize access to sensitive data• How Satori delivers faster access with tighter control• How Commvault protects AI end to end and even recovers vector indexes and configs after an incidentWe also talked about SHIFT 2025 in New York on Nov 11–12. This event will bring together AI security, data access, and resilience with real answers.In-person: https://lnkd.in/dZ6t8nbY?If you cannot attend in person, there is a full virtual experience on Nov 19.Virtual: https://lnkd.in/dz8yhf-cThis was a raw and tactical conversation. If you care about building AI that moves fast with control, you should watch it.SHIFT will set the tone for how enterprises secure AI in 2025.#data #ai #security #shift2025 #theravitshow

A candid conversation with Navin Budhiraja, CTO and Head of Products at Vianai Systems, Inc. on The Ravit Show in Palo Alto. From Bhilai to Palo Alto. Navin topped the IIT entrance exam, studied at Cornell, and led at IBM, AWS, and SAP. We sat down to talk about building AI that enterprises can actually use.What we covered:- Vianai's mission and the hila platform: why it exists and the problem it solves- How hila turns enterprise data into something teams can interact with in plain language- Responsible AI in practice: tackling hallucinations and earning trust- Why a platform like hila is needed even with powerful foundation models- Conversational Finance: what makes it useful for finance teams- Real integrations: ERP, CRM, HR systems, and how this works end to end- Security for the real world: air-gapped deployments, privacy, and certifications- The road ahead: how AI, IoT, and cloud are converging in the next 2 to 3 years- Advice for the next generation of builders from Bhilai, the IITs, and beyondWhy this matters:Enterprises want outcomes, not hype. Navin's lens on trust, flexibility, and scale shows how AI moves from pilot to production.Thank you, Navin, for the clear thinking and straight answers. Full interview on The Ravit Show YouTube channel is live.#data #ai #vianai #theravitshow

Stop moving data. Start shipping models. I sat down with Molly Presley from Hammerspace and David A. Chapa from Hitachi Vantara to unpack the new Hitachi iQ M Series and how it pairs with Hammerspace for real GenAI work.What we cover• Running AI on data where it lives across sites and clouds• One global namespace so teams stop copying data back and forth• Flexible GPU choices that fit your budget today and scale later• Independent scaling of compute and storage to control costs• How this shows up on day one for training and inferenceWhy this matters• Faster first results without re-architecting your data• Fewer bottlenecks keeping GPUs idle• A simple path from pilot to productionWatch the full conversation. Link in the first comment.Thank you Molly and David for the clear breakdown and the practicality teams need right now.#data #ai #hammerspace #theravitshow

Big traffic moments expose weak systems. Ticketmaster treats them as a proving ground.At .conf2025 I sat with Stephen from Ticketmaster to break down how they run reliable, resilient operations with Splunk. We started with his role and what his team owns. Then we went into the daily rhythm: where Splunk sits in their stack, how they monitor live traffic, and how signals turn into action during spikes.We talked about impact. Faster incident response. Tighter collaboration across teams when every second counts. Clear visibility across services so they can move from symptoms to root cause with less back and forth.Digital resilience was a major theme. Stephen walked through how they use Splunk products to harden critical paths, pressure test failure scenarios, and keep fan experiences stable during on-sales and marquee events.We also covered outcomes the business cares about. Better uptime. Fewer fire drills. Cleaner handoffs. The ability to learn from every incident and feed it back into playbooks and automation.We closed on what is next. More proactive detection. More use of data to predict hot spots before they flare. A roadmap that keeps resilience and customer experience front and center.#splunkconf25 #SplunkSponsored #data #ai #theravitshow

Competitions can change careers. Katie Brown is proof.At .conf2025 I sat with Katie Brown, Director of Platform Security at Splunk. We talked about her path from winning Boss of the SOC to joining Splunk, how she still supports the competition, and what her day to day looks like now. She shared a memorable challenge from BOTS that shaped how she works, practical advice for anyone thinking about capture the flag events, and why hands on contests help close the cybersecurity talent gap.Highlights • From BOTS champion to leading platform security, a clear example of skills turning into opportunity • Staying close to BOTS as a mentor and builder so more people can learn by doing • Lessons that stick, pressure testing analysis, teamwork, and clear thinking under time limits • Simple advice for newcomers, start small, practice often, document what you learn, share your work • Why competitions matter, real signals of skill, faster hiring signals for teams, confidence for candidatesIf you want a grounded view of how hands on learning opens doors in security, this will help.#splunkconf25 #SplunkSponsored #data #ai #theravitshow

I had a blast at .conf25 2025 by Splunk and an on-site interview I recorded with Lizzy Li, Principal PM for dashboards at Splunk. I spent time at the Data Visualizations area to understand how teams bring Splunk data to life for investigations and exec reviews. Lizzy walked me through three layers:- Splunk UI Toolkit for reusable UI components so internal teams and developers can build apps faster- The dashboard framework and visualizations that power charts across the Splunk portfolio and let developers create custom experiences- Dashboard Studio, the general purpose tool most customers use to build and share dashboardsWhat stood out:- Flexibility. Customers are not limited to charts in a grid. Think floor plans, architecture diagrams, and network maps that match real-world layouts- One view of more data. Dashboard Studio can bring together logs, observability metrics, and with federation, external data sources- Scale and performance. Tabs let you pack multiple dashboards into one, and performance updates keep large numbers of charts responsive- New this year. More advanced logic and the ability to show or hide panels dynamically so analysts can tailor the view during an investigationIf you care about clear, flexible dashboards that can handle real-world complexity, you will like this conversation. Full interview is below.#splunkconf25 #SplunkSponsored #data #ai #theravitshow

AI is only as good as the data behind it. In our new episode, I sat down with Makesh Renganathan from Informatica's product team to talk about what it really takes to get data AI-ready and ship use cases that move the needle.Highlights:* Only 48% of AI projects make it to production. The gap is data readiness.* Start with clear outcomes. Then build the foundation: completeness, quality, context, governance, security, and timely delivery.* Biggest blockers today: fragmented sources across legacy and cloud, 80–90% untapped unstructured data, and missing guardrails for trust and lineage.* Quantity is not quality. Clean and diverse data beats “more data.”How Informatica helps:* One platform with IDMC to connect, transform, and integrate at scale, including RAG ingestion.* Deep metadata and lineage to add context and trace outputs back to sources.* Built-in governance and data quality to keep sensitive data controlled and compliant.* Low-code and AI-assisted build with CLAIRE so existing teams can deliver faster, from pipelines to agents.Rapid takeaways from Makesh:* Treat data as a strategic asset before you scale models.* The future is AI-driven data management that automates integration, quality, and governance so people focus on strategy.The episode is live now. Watch and tell me which part resonated with your current AI stack.#data #ai #informatica #theravitshow

AI will not fix a broken data foundation. Fix the foundation first. I sat down with Richard Ganley, SVP, Global Partners at Informatica, to unpack a simple blueprint for AI-ready data modernization on The Ravit Show!!!!What we covered -- • Why modernization is now urgent: legacy stacks create scattered data, hand-coded pipelines, high cost, and low trust in reports• The goal state: a unified, automated platform where data is discoverable, governed, and trusted so teams move faster and spend less• Why partners matter: 650 active partners. 35% of new business is partner-sourced. Partners are involved in about 90% of opportunitiesHow the work gets done -- • Partner accelerators scan thousands of legacy jobs, map dependencies, and automate code conversion to modern Informatica mappings• LTIMindtree's IRX is a good example. Plan with automated analysis. Execute with 60–70% automated conversion. Validate with automated testing. Less manual effort. Fewer errors. Predictable timelinesProof it works• Statewide healthcare provider: 70% automation in migration, 30% less effort, 3x cost savings after decommissioning legacy and moving to cloud• Global financial services firm: regulatory reporting time cut from weeks to days, data quality score up 40% in year one, millions saved by reducing manual reconciliation and riskIf you are staring at a complex legacy environment and want a clear path to AI-ready, this conversation will help. Watch the full interview on The Ravit Show.#data #ai #dataquality #informatica #theravitshow

I'm excited to share my latest conversation from Informatica's headquarters in Redwood City with Sumeet Agrawal, VP, Informatica on The Ravit Show. We went deep into the world of AI agents and what it takes to bring them into the enterprise. It was about how Informatica is making it real.Here's a glimpse into what we covered:- Breaking down consumer, coding, and enterprise agents and why trusted data is the biggest challenge for adoption- How Informatica's AI Agent Engineering makes it possible to build enterprise-grade agents in minutes- The role of the Model Context Protocol (MCP) in unlocking new levels of integration, governance, and scalability- Busting myths like “agents will replace developers” or “you need massive LLMs for useful agents”- Addressing doubts on trust, safety, scalability, and even whether IDMC capabilities can be reused outside IDMC- A rapid-fire round tackling both technical and business questions — from fixing hallucinations to the future-proofing power of context protocolsWhat stood out was the balance between innovation and trust. Informatica isn't just building fast-moving technology, they're making sure it's safe, governed, and ready for real-world scale!!!!Thank you to Sumeet and the Informatica team for the warm welcome and for opening up this conversation.The full interview is now live on The Ravit Show YouTube channel. Check out the link in the comments!#data #ai #informatica #mcp #theravitshow

BREAKING: Airbyte 2.0 is live now.I sat down with Michel Tricot to unpack Airbyte 2.0. It is a shift from “lots of connectors” to a real platform that gives you control, activation, and speed.What's new-- Enterprise Flex. Airbyte manages the control layer. Your data moves in your environment. That helps with sovereignty and compliance. External secrets, audit logs, PrivateLink, column-level hashing, and multi-workspace support are built in.-- Data Activation. Push trusted warehouse data into Salesforce, HubSpot, or Customer.io so marketing, sales, and support get fresher context. Monitor retries and errors, map identities, and close the loop by sending outcomes back to the warehouse.-- Faster pipelines. Protobuf transport, smarter partitioning, and moving more orchestration into connectors deliver big gains. Teams can see 4–10x speed-ups depending on source and destination.Who should care-- Regulated and global teams with residency needs-- Orgs that want to turn analytics into action inside business apps-- Platform teams that want speed without losing controlHow to start-- Pick one high-value flow to activate-- Set up Enterprise Flex-- Connect your warehouse and one destination-- Track freshness, error rates, and business impactIn this conversation, Michel and I go deeper on what changed from 1.0 to 2.0, how hybrid control works in practice, why activation sits inside Airbyte, and what is next on the roadmap.#data #ai #airbyte #airbyte2.0 #elt #ingestion #enterprise #theravitshow

At CommunityLIVE, I caught up with Tim McIntire, CTO at Hyland, for a quick conversation on The Ravit Show. Tim shared what excites him most about this year's event and gave a preview of the key takeaways attendees can expect over the next three days. From the energy on the ground to the sessions lined up, it's clear there's a lot of momentum here.We also touched on what's next for Hyland. Hearing directly from the leadership about where the company is heading makes it clear how they are shaping the future of content services and enterprise solutions.These quick conversations are a great reminder of why CommunityLIVE is such a special gathering, it's about learning, exchanging ideas, and seeing the vision behind the technology.#data #ai #communitylive25 #hyland #theravitshow

Excited to cover CommunityLIVE by Hyland. I had a chance to speak with Steve Baird, CRO and Head of Sales at Hyland, during CommunityLIVE.We spoke about how global Hyland has become, with its presence now spanning across countries, and what makes CommunityLIVE so special for him.These quick conversations always give a glimpse into the culture and the people driving the company forward.Stay tuned for more insights from CommunityLIVE.#data #ai #communitylive25 #hyland #theravitshow

From CommunityLIVE by Hyland: AI that helps clinicians and patients, todayI sat down with Dr. Shankar Sridharan, baby heart doctor, Chief Clinical Information Officer at Great Ormond Street Hospital, and National Clinical Lead for AI at NHS England. We spoke about taking AI out of pilots and into frontline care.Scale and design- The NHS has run the largest generative AI program with ambient voice across nine care settings so far.- 17,000 patients included with a staged, scientific approach.- Phase zero in the innovation lab, then professional actors and doctors in a safe test EHR, then real clinicians with real patients, then scale.Measured outcomes- 25% increase in direct care time.- In Accident and Emergency, documentation time reduced by 51%.- Independent analysis by York Health Economics Consortium shows each A&E doctor can see at least one extra patient per shift.- At NHS scale, that is 9,279 additional patients per day, a capacity benefit north of 650 million with a further documentation benefit of 160 million.Why now- Algorithmic AI needed high digital maturity and often lived in imaging.- Generative AI can work with unstructured data and needs operationalisation more than heavy new infrastructure.How to operationalise- People, process, technology in that order.- Train clinicians. Integrate into workflow. Measure time to decision, accuracy, and rework, not just model scores.Governance and assurance- Build at the speed of trust.Clear governance for data, cyber, and clinical safety, and assurance so the public can see how risk is managed.- Move beyond pilotitisTiny pilots with no owner and no scale plan slow us down.Create a national plan with strategic delivery, then expand by use case.- What good looks like in practiceAmbient voice reduces documentation load so clinicians focus on patients.Better throughput and clinicians who feel less drained at the end of a shift.The next step- Use AI as the tenth voice in multidisciplinary teams.- Not to replace clinicians, but to widen perspective, surface risks, and nudge better decisions.As Shankar put it, the clinician is the superhero. AI is the cape.This is how AI earns trust in healthcare. Results first. Safety always. Scale with discipline.#data #ai #CommunityLIVE25 #hyland #theravitshow

Analyst perspectives often reveal what's beneath the surface of big announcements.At CommunityLIVE, I caught up with Ralph Gammon from Infosource to hear his thoughts on the keynote and his key takeaways. He shared how he sees the space evolving, how Hyland is adapting to those shifts, and what the next 6–8 months could look like for the company.Hearing an outside-in perspective like this is a great way to connect the vision shared on stage with the real trends shaping the market.#data #ai #CommunityLIVE25 #hyland #theravitshow

The financial lens often brings a grounded perspective to big announcements.At CommunityLIVE, I spoke with Prasenjit Dasgupta, CFO at Hyland, about his key takeaways from the keynote and how they connect back to customer stories and Hyland's broader strategy.He also shared how Hyland is planning for the next 6–8 months — a period focused on strengthening customer impact, executing on strategy, and aligning investments to where the market is heading.Hearing this view from the CFO's seat provided a clear picture of how Hyland is balancing innovation with disciplined growth to deliver real value for its customers.#data #ai #CommunityLIVE25 #hyland #theravitshow

At CommunityLIVE, I had a chance to speak with Michael Campbell, Chief Product Officer at Hyland on The Ravit Show. We discussed two exciting announcements: the Content Innovation Cloud and the Enterprise Context Engine. Mike shared how the Content Innovation Cloud is designed to help enterprise leaders unlock more value from their information, and how the Enterprise Context Engine brings intelligence and context into the heart of business processes.Hearing directly from Mike gave great perspective on how Hyland is innovating to meet the needs of modern enterprises and shaping the future of content services!!!!#data #ai #communitylive25 #hyland #theravitshow

The conversation around AI often focuses on speed and scale — but context, governance, and open collaboration matter just as much. At CommunityLIVE, I had the opportunity to sit down with John Newton, Innovation Strategist, for his talk on the State of Open Source AI and Content.We explored the key themes shaping this space:- Why this moment for AI + content is such a big inflection point- How intelligent agents could redefine the way we interact with and manage content- The role open source will play in enterprise AI and why communities are central to driving innovation- What architects and developers should take away from this shift and how they can prepare for an agent-driven future- The balance between AI innovation, governance, and compliance, and how leaders can navigate that tensionJohn also shared why he believes Hyland is on the right path with AI, aligning innovation with customer needs and enterprise realities.It was a thoughtful discussion that reinforced a simple truth: the future of content platforms will be shaped not just by technology, but by the open source communities and developers who bring it to life!!!!#data #ai #CommunityLIVE25 #hyland #theravitshow

One theme that kept coming up at CommunityLIVE was CONTEXT, especially when we talk about AI!!!!I spoke to Chris Winczewski, EVP & Head of Strategy at Hyland on The Ravit Show, to dive into this topic. He shared why context is so critical for AI to deliver real impact, and also spoke about the common challenges users face when it comes to managing their content.Hearing his perspective was a reminder that while AI opens new possibilities, the real breakthroughs happen when it's grounded in the realities of how people work with information every day.#data #ai #CommunityLIVE25 #hyland #theravitshow

Every keynote leaves the audience with big ideas, but the real question is, what do those takeaways mean for customers?At CommunityLIVE, I sat down with Becca Toth, CMO at Hyland, to dive into this. She shared her perspective on the keynote highlights, what they mean for customers in practical terms, and why CommunityLIVE is such a powerful gathering for this community.It's always valuable to hear directly from leadership on how these moments connect back to the people and organizations they serve.#data #ai #CommunityLIVE25 #hyland #theravitshow

Keynotes always set the tone for a conference, but the real insights come when you unpack what they mean for the future!!!!At CommunityLIVE, I spoke with Alan Pelz-Sharpe, Founder, Deep Analysis to get his perspective on the keynote takeaways. We explored what enterprises truly expect from AI today, not just innovation, but real outcomes that improve how they work.We also looked ahead at the future of agentic AI and how it could reshape enterprise operations. Alan's perspective made it clear that while the technology is advancing quickly, the focus will remain on trust, usability, and value for customers.Conversations like these help bridge the big stage announcements with the practical realities enterprises face every day.#data #ai #CommunityLIVE25 #hyland #theravitshow

Speed to insight wins. If analytics cannot move decisions, it gets ignored.Fresh off Big Data London, I sat down with Clarence Rozario, Zoho on The Ravit Show to talk about how leaders are pushing BI to deliver real outcomes. The energy was high and the message was clear. Make analytics the shortest path from question to action.Why I rate Clarence as a leader: he blends field reality with product thinking. He listens to customers, trims what is not working, and ships the bits that help teams decide faster. No hype. Clear priorities. Tight feedback loops.What we discussed:* How enterprises are standardizing definitions so everyone answers the same question the same way* Cutting the cycle time from a metric to the next step with guided drill downs and clear ownership* Putting AI inside BI to explain changes in plain language and suggest actions people can trust* Short term moves that matter right now, like ready to use templates, guardrails, and monitorsWe kept it practical. Less demo polish. More ways to ship value this quarter.#data #ai #zoho #analytics #theravitshow

I had the chance to speak with Sam Newnam, Senior Director of AI Solutions at Hammerspace on The Ravit Show, about the challenges and opportunities enterprises face as they scale AI infrastructure.We began with the name itself, Hammerspace. A concept borrowed from comic books, now representing a very real approach to how data can be accessed, unified, and delivered without limits.From there, we explored the pressures shaping enterprise AI today. The rise of AI agents and enterprise-scale deployments is creating new challenges around data gravity and data friction. Sam shared why this is no longer just about storage, but about what he calls “GPU gravity”, moving data efficiently to where the models and GPUs actually are.Hammerspace's view is clear: enterprises do not need to forklift data into proprietary silos or rewrite workflows just to enable AI. Instead, an open, Linux-native, standards-based approach allows data to remain where it lives, whether on-prem or across clouds, while streaming on demand to the infrastructure that needs it.We closed with a look ahead. As AI workloads continue to grow, the ability to unify data seamlessly and avoid lock-in will become a critical competitive differentiator.Conversations like this highlight a big shift: AI success is not just about the model. It is about how well enterprises prepare their data infrastructure to keep pace with it.#data #ai #hammerspace #infra #storage #agents #gpu #theravitshow

AI without web data is AI without context. At AI4, I spoke with Ariel Shulman, Chief Product Officer at Bright Data on The Ravit Show, about why public web data is becoming the backbone of modern AI!Ariel explained that without access to real-time, high-quality web data, models quickly lose relevance. Product listings, reviews, job postings, news, and social content all provide the signals enterprises need to make AI systems smarter and more usefulBut collecting that data at scale is not simple. CAPTCHAs, geo-restrictions, and IP blocks make it challenging. Bright Data's mission is to remove these barriers so organizations can focus on building applications instead of fighting access issues.We also explored why real-time matters more than ever. AI agents must interact with the live web to stay effective, and that shift opens up both opportunities and responsibilitiesLooking ahead, Ariel sees public web data as central to the future of AI, but success depends on collecting and using it ethically, transparently, and at scale.The takeaway: data is the bridge between AI and the real world, and web data is one of its most important foundations!#data #ai #ai4 #brightdata #theravitshow

At AI4, I spoke with Kevin McGrath, Co-Founder and CEO of Meibel, on The Ravit Show about the hard truths behind the numbers: nearly 80% of AI projects never make it to long-term success.Kevin explained that it often comes back to data. Customers run into incomplete or poor-quality datasets, or they cannot unify data across silos. Without fixing those fundamentals, even the most ambitious AI initiatives will falter.We also explored why AI demos that wow investors often stumble when they reach real customers. Scaling is the breaking point; infrastructure, workflows, and production realities expose weaknesses that prototypes cannot hide.With GenAI, Kevin sees teams hitting roadblocks around context, reliability, and safety. Building proofs of concept is straightforward, but building systems that are trustworthy and scalable is the real challenge.The takeaway: AI success depends less on the demo and more on how well you prepare data and infrastructure for real-world scale.#data # ai #agents #meibel #theravitshow

AI is only as powerful as the data you give it. At AI4 this week, I sat down with Zack Wenthe

The AI ecosystem is moving fast and that includes the companies behind it. I spoke with Jeff Mills, President of iMerit Technology on The Ravit Show about what recent founder exits and shifting strategies from big players mean for the data annotation and labeling industry!!!!Jeff explained that in a market where trust and longevity matter more than ever, companies building high-stakes AI products cannot afford to rely on unstable or short-term partners. The risk is not just disruption, it is potential failure of entire AI initiatives if the data foundation is compromised.We also discussed what AI companies should look for in a data quality partner today. With innovation moving at breakneck speed, reliability, scalability, and domain expertise are just as critical as technology. It is not about one-off projects but about building trusted, long-term partnerships that evolve with the industry.Jeff highlighted what sets iMerit apart from the dozens of vendors in the market: a proven ability to deliver high-quality data pipelines at scale, a focus on trust, and a commitment to supporting customers as their needs shift from simple annotation toward powering complex AI systems.The takeaway: as AI advances, data quality remains the foundation. And choosing the right partner may determine not only the success of your current models, but your ability to innovate sustainably in the years ahead.What do you think?#data #ai #imerit #ai4 #theravitshow

The era of traditional digital transformation is over. Is it? What do you think?I spoke with Tim McIntire from Hyland on The Ravit Show about why enterprises can no longer think of transformation as just migrating to the cloud or modernizing applications. Those moves may reduce costs or simplify IT, but they do not fundamentally change how businesses operate!Tim explained that the real shift comes with AI agents. These agents are not just tools that automate repetitive tasks. They are intelligent systems that can learn, adapt, and work alongside people in real timeThey change the way decisions are made, how information flows, and how quickly businesses can respond to customers and markets.We also talked about why cloud migration alone is not enough. Without intelligence embedded into processes, enterprises simply recreate the same inefficiencies in a different environment. True transformation requires agents that can cut through friction, connect data, and surface insights the moment they are needed.Hyland calls this agentic transformation, a continuous evolution where AI agents are woven into the fabric of business operations. It is not a one-time project, but an ongoing journey where processes become more adaptive, collaborative, and intelligent over time.The key takeaway: in the AI era, transformation is no longer about where your systems run, but how intelligently they operate and how seamlessly they work with the people who rely on them.#data #ai #agents #hyland #theravitshow

I spoke with Tim McIntire, EVP and CTO, Hyland on The Ravit Show about one of the biggest questions enterprises are facing today: how to scale AI agents responsibly and effectively!!!!Tim shared that the real challenge is not just building the agents, but preparing the right foundation for them to operate at scale. Without trusted data and thoughtful governance, AI agents risk creating more problems than they solve.Hyland is working with customers to put that foundation in place, ensuring AI agents are embedded into workflows in a way that augments people rather than replaces them. The focus is on collaboration between humans and agents, not competition.Looking ahead, Tim sees AI agents becoming much more integrated into day-to-day operations within the next one to two years. Success will come to those enterprises that can strike the right balance: equipping agents with data they can trust, while maintaining transparency and control for the humans who rely on them.The future of AI is not just about agents running faster, it is about building systems where people and AI can work better together.I can't wait to meet again at the COMMUNITYLIVE next week in Vegas!!!!#data #ai #ai4 #hyland #theravitshow

Everyone's excited about GenAI — but building real, reliable agents? That's where it gets tricky. I chatted Holly Smith and Nick Karpov from Databricks at the Data + AI Summit on The Ravit Show to talk about the tools that are actually making agentic AI work in the enterprise.We covered two big launches:

How do you modernize data management while keeping the reliability of the mainframe?This was the central theme of my conversation with Tomer Zelberzviq, Senior Product Manager at BMC Software. Mainframes have been the backbone of enterprise IT for decades, but today's cloud-driven environment demands scalability, cyber resiliency, operational efficiency, and compliance at a whole new level.In this interview, Tomer and I discussed:-- Why modernization is still a major challenge for enterprises running on mainframes-- How technologies like Cloud Data Sets are changing the game for security, resilience, and cost efficiency-- Strategies to protect mainframe data against ransomware and cyber threats-- How to make mainframe data accessible for AI and analytics, eliminating silos without disrupting core systemsThis session goes beyond buzzwords. It's about real solutions that help enterprises bridge legacy reliability with modern innovation.#data #ai #mainframes #bmc #theravitshow

AI doesn't work without the right data layer. And that's why Lakebase is turning heads this year. I had a blast chatting with Holly Smith and Nick Karpov from Databricks at the Data + AI Summit, where we dug into some of the most exciting (and most technical) announcements from this year — especially Lakebase.We unpacked why Lakebase is such a big deal:• It's not just another feature — it's about making the database layer finally work for AI.• Traditional databases weren't built for the scale, speed, or flexibility that production AI agents demand — Lakebase is changing that.• We also talked about the Neon acquisition — and why it's generating so much buzz in the data community.From a data engineer's lens, the big question is always: Does this make my job easier?Lakebase, combined with AI-native platform features, is a big step toward faster, cleaner AI project delivery.Holly and Nick also gave me a look at what's coming with Spark Declarative Pipelines — bridging declarative simplicity with real developer control.Big thanks to both for the great chat.#data #ai #DataAISummit #databricks #theravitshow

Privacy, governance, and security — three things that are becoming even more critical as AI goes mainstream. I spoke to Anshu Sharma, Co-Founder & CEO of Skyflow, at Data + AI Summit on The Ravit Show to talk about where the market's heading and how enterprises are thinking about secure AI adoption.We covered:

I had a chance to interview one and only Jeff Lunsford, CEO of Tealium, at the Data + AI Summit, and we had a real conversation about what it actually takes to deliver AI-powered customer experiences. One key takeaway: AI is only as good as the data feeding it — and that data needs to be real-time, consented, and privacy-compliant. That's where Tealium comes in.We spoke about the launch of CloudStream and how it's helping enterprises push clean, event-driven customer data into platforms like Databricks without delays or duplication.Jeff also shared how Tealium's working with Databricks to close the gap between marketing data and AI — making it easier for teams to build smarter, faster, and more responsible experiences.Always great to dig into how different layers of the stack come together.#data #ai #tealium #DataAISummit #agents #cdp #databricks #theravitshow

One of the most honest conversations I had at Data + AI Summit by Databricks was with Sally Liu (Machine Learning Engineer at Kumo) and Raymond Yao (Coinbase) — two people building and applying AI where it really matters. Learn more -- https://kumo.ai/?utm_source=ravit&utm_medium=influencer&utm_campaign=snowflake_databricks2025&utm_term=the_ravit_showWe talked about:- The biggest opportunities and roadblocks in deploying machine learning at scale — across both platforms and real-world fintech- What's getting their attention beyond LLMs — including models and infrastructure they believe are next- The real talk on ROI — not every AI project pays off, so we dug into which efforts have actually delivered business impact- And that eternal question: build vs. buy? Their perspectives on when to lean on in-house innovation vs. external tools were refreshingly groundedIt's always great to hear from folks who are in the trenches, balancing experimentation with results.#data #ai #DataAISummit #databricks #kumo #agents #machinelearning #theravitshow

Clean data isn't just nice to have — it's the difference between insight and noise. At Databricks' Data + AI Summit, I had a conversation with Sal Pecoraro about how Data Axle is helping enterprises make their data not just accessible, but actionable.We covered a lot of ground, including:- Their new presence on the Databricks Marketplace, and what that means for seamless access to high-quality, enriched datasets- Why data quality is central to any CDP initiative — and how it directly impacts customer understanding and segmentation- The move to first-party data strategies, and how companies can maximize the value of what they already own- The evolution of data marketplaces and why they're becoming a key pillar in modern data architecture- Misconceptions around data enrichment, especially when it comes to scale and relevanceSal brought clear, grounded advice that any data leader should pay attention to. #data #ai #DataAISummit #databricks #dataaxle #agents #identity #theravitshow

Customer identity is more than a profile — it's a foundation.I recently chatted with Marc Sabatini at Databricks' Data + AI Summit to unpack why identity resolution is fast becoming the backbone of effective marketing strategies.Marc introduced me to the concept of the “Identity Spine” — a unified thread that connects all customer interactions and behaviors. In a world of rising privacy expectations and the fall of third-party cookies, this kind of consistency is more valuable than ever.We dug into:- How a strong Identity Spine helps unify customer data and drive real ROI- Why so many transformation projects stall, and what it takes to get them back on track- What it means to actually activate identity across an enterprise, not just store it- Emerging martech trends for the next 12–18 months — and how Data Axle is preparing for what's nextGreat perspective from someone who's seen the strategy behind the buzzwords. Watch the full interview here#data #ai #DataAISummit #databricks #dataaxle #agents #identity #theravitshow

Had a great conversation with Eric Pité, SVP of Product & Strategy at Posit PBC (formerly RStudio) on The Ravit Show, at the Data + AI Summit by Databricks.We talked about:-- The evolution from RStudio to PositIt's more than just a name change — it's a signal of how seriously they're embracing Python while staying true to their R roots and open-source mission.-- Open source meets enterpriseEric shared how Posit is navigating the balance between community contribution and commercial sustainability — and why that mission still matters in an AI-first world.-- Positron + DatabricksTheir strategic partnership is one to watch. Positron is making it easier to do high-quality data science (in R and Python) inside the Databricks ecosystem — with an emphasis on collaboration, reproducibility, and performance.-- AI's place in modern data scienceWe chatted about how Posit sees the role of AI in helping data teams be more productive — without losing rigor or transparency.-- The power of storytelling with codeOne of my favorite parts: the emphasis on communication. It's not enough to build models — data scientists need to share insights clearly, and Posit is building for that.Big thanks to Eric for the thoughtful chat — and to the Posit team for continuing to push the boundaries of open, collaborative data science.#data #ai #DataAISummit #Databricks #cdata #agentic #connectors #theravitshow

Every year at Data + AI Summit, there's a shift in energy — and this year, it's clear: AI is in production, and the spotlight is finally on the data layer. Caught up with my friend Raj Bains, CEO & Co-Founder of Prophecy on The Ravit Show, to talk about what's changed — and how their mission to combine self-service with governance is resonating more than ever.We covered:-- Why “democratizing AI” isn't just a nice phrase — it requires a platform that prepares the room with the right guardrails-- Real-world traction with JPMC and Amgen — and how success turned into investment-- What it really takes to build a production-ready, governed data pipeline in under 10 minutes (hint: it's not just speed, it's control)-- Their early agentic AI features helping analysts find and transform data with smarter guidanceRaj also shared what's changed in the past year — a clear push across customers to modernize, consolidate legacy tools, and go deeper with AI features.Lots of energy around Prophecy this year — and for good reason.#data #ai #DataAISummit #Databricks #prophecy #agentic #connectors #theravitshow

How do you modernize data management while keeping the reliability of the mainframe?This was the central theme of my conversation with Tomer Zelberzviq, Senior Product Manager at BMC Software. Mainframes have been the backbone of enterprise IT for decades, but today's cloud-driven environment demands scalability, cyber resiliency, operational efficiency, and compliance at a whole new level.In this interview, Tomer and I discussed:-- Why modernization is still a major challenge for enterprises running on mainframes-- How technologies like Cloud Data Sets are changing the game for security, resilience, and cost efficiency-- Strategies to protect mainframe data against ransomware and cyber threats-- How to make mainframe data accessible for AI and analytics, eliminating silos without disrupting core systemsThis session goes beyond buzzwords. It's about real solutions that help enterprises bridge legacy reliability with modern innovation.#data #ai #mainframes #bmc #theravitshow

I caught up with Rahul Pahuja from CData Software to dive into how they're helping enterprises unlock more value from their data inside Databricks — especially as companies push harder into AI and agentic workloads.Here's what stood out from our conversation:

Spoke with Amit Sharma, CEO of CData Software, at the Data + AI Summit on The Ravit Show, and we dove into a critical but often overlooked topic: data connectivity for AI agents. With the rise of agentic AI, the old ways of integrating data just don't cut it. Amit broke down why real-time, context-aware access is now a must — and how CData is helping lead that shift.We talked about:-- The Model Context Protocol (MCP) — a powerful new way to serve up enterprise data to LLMs and agents without building brittle pipelines-- Why CData's approach to live connectivity is a better fit for GenAI use cases than traditional ETL-- Where agents are being adopted first, based on early traction with their MCP servers-- And the biggest misconception he sees: thinking that LLMs can work well without solving the data access problem firstIf you're thinking about scaling AI agents across your enterprise, this conversation is worth a listen.#data #ai #DataAISummit #Databricks #cdata #agentic #connectors #theravitshow

What does it really mean to be “agentic-ready”? On The Ravit Show, I had an insightful conversation with Aakarsh Kishore, Chief Product Officer at MathCo, at the Data + AI Summit, and we unpacked what that looks like in practice.We explored:-- Contextual solutions — and why understanding enterprise context is key to building AI agents that actually deliver value-- The concept of a “supercharged brain” — MathCo's vision for decision intelligence that goes beyond dashboards and reports-- NucliOS — MathCo's AI decisioning platform that plugs into the Databricks Data Intelligence Platform to help enterprises scale decision-making across teamsAakarsh also shared how the MathCo + Databricks partnership is shaping real-world use cases — and how they're thinking about AI that's both scalable and deeply enterprise-aware.#data #ai #databricks #DataAISummit #theravitshow

I had a great conversation with Steven Touw, CTO of Immuta, at the Databricks Data + AI Summit — diving deep into one of the most overlooked challenges in scaling AI: data access.We started with a key question — why are traditional request-and-approve workflows no longer working for modern data teams?Steve broke it down: with more users, more data sources, and faster decision cycles, manual processes create friction, slow teams down, and often lead to over-permissioning or shadow access.We explored how policy-based access control is emerging as the scalable, secure alternative — automating who gets access to what, under which conditions, in real time.Steve also shared how Immuta is helping enterprises balance flexibility and control — enabling faster AI development without compromising on governance, compliance, or data privacy.This shift in thinking is critical for any company looking to unlock the full value of their data while keeping it safe.Appreciate the insights, Steve!!!!#data #ai #DataAISummit #Databricks #immuta #agentic #connectors #theravitshow

GenAI didn't just change how we work — it changed who has access to data. I sat with with Matthew Carroll, CEO of Immuta, at Data + AI Summit by Databricks, and we talked about one of the biggest shifts happening in data right now: everyone in the org is suddenly a data user — whether governance teams are ready for it or not.We covered:- How to scale governance without becoming a blocker- What happens when a marketing manager can chat with a database in plain English — and how to keep control without killing the magic- Why writing one-off policies for each GenAI use case is a fast path to chaos- And the real difference between self-service with guardrails vs just opening the floodgatesMatt had strong views on where policy management needs to go — and how Immuta is helping orgs strike the right balance between agility and accountability.Always a blast hosting, Matthew Carroll on The Ravit Show!!!!#data #ai #datasecurity #immuta #theravitshow

AI in the public sector isn't just about innovation — it's about trust, access, and doing it right. On The Ravit Show, I had the opportunity to speak with Chris Brown, Public Sector CTO at Immuta, at the Data + AI Summit — and we delved into what it takes to bring AI to government agencies without compromising on security or compliance.We talked about:- The reality of provisioning secure data access for AI when sensitive data and clearance levels are involved- How to move from manual approvals to automated, policy-based access — especially when “speed of mission” is non-negotiable- Real-world challenges like multi-classification data, contractor access, and inter-agency collaboration- And how Immuta is helping government orgs compress timelines while still meeting the strictest zero-trust requirementsReally appreciated Chris's perspective — thoughtful, practical, and rooted in what government teams actually deal with.#data #ai #DataAISummit #Databricks #immuta #agentic #connectors #theravitshow

That's exactly what I explored with my friend Harveer Singh, CDO, CDO, Consumer and small business banking at Truist Bank on The Ravit Show!We kicked things off with Truist's recent win — Innovation of the Year for Analytics and AI from American Banker. But the conversation went much deeper.We discussed: • How Truist is using AI to personalize banking across digital, retail, and SMB • The bank's framework for scaling data-driven decision-making across the org • Exciting use cases in lending, fraud detection, and real-time contextual insights • How they're supporting small businesses with smarter, more relevant data products • And why responsible AI governance isn't optional — it's built into the way they workHarveer brought such a grounded and strategic take on what's really required to make AI deliver value inside a large enterprise — from culture to architecture to execution.hashtag#data hashtag#ai hashtag#snowflakesummit hashtag#theravitshow

I had to catch up and chat with my friend Sarang Bapat, Director Data Analytics and Governance, Mitsubishi Electric Trane US on The Ravit Show to talk about three topics every data and AI leader is thinking about right now:We dove into some of the most urgent conversations happening in boardrooms and data teams right now: ➡️ What's really holding back AI adoption inside enterprises ➡️ Why data governance is being redefined — and fast ➡️ How data quality and literacy are no longer optional in a GenAI worldThis wasn't just theory — it was real, practical insight from someone who's been in the trenches of AI enablement at scale.This one's worth a listen if you're navigating the intersection of AI, governance, and data strategy.