The Ravit Show

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 🧠📢, Director of Product Marketing at Tealium, to unpack why a trusted, real-time data foundation is becoming the make-or-break factor for AI success.We started with the basics — trust. If your AI does not have reliable, clean data, everything it produces is at risk. Zack shared why this foundation is non-negotiable for enterprises.Then we explored “real-time.” AI has redefined it from milliseconds to near-instant context and action. Tealium’s approach to orchestrating customer data in real time is not just about speed — it is about making the right decision at the right moment.Zack also gave a preview of his talk, 5 Trends That Will Change Your Customer Data Strategy & Marketing Future. His point was clear: traditional strategies cannot keep up, and marketers who embrace AI-driven approaches will be the ones to thrive.We closed on action. From AIStream and MCP integration to partnerships with Databricks and Snowflake, Tealium provides practical ways to start leveraging AI today — with innovations like Sia pushing the boundaries even further.The takeaway: In the AI era, your data foundation is your competitive advantage.#data #ai #ai4 #tealium #theravitshow

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:🔹 Agent Bricks – Designed to reduce the cost and complexity of deploying AI agents in production. Holly and Nick walked me through how it’s solving real-world problems — and what kinds of use cases are already gaining traction across industries.🔹 MLflow 3.0 – The latest update has been reimagined for GenAI workflows, with better support for LLMs and more streamlined experimentation. It’s a big step toward faster iteration and safer deployment of AI models.We also geeked out a bit on how Databricks uses its own platform internally — always fun to hear how the builders are also the power users.Great convo with two people who live and breathe this stuff.#data #ai #databricks #DataAISummit #theravitshow