The Ravit Show

What happens when AI is applied to real mission problems, not just demos? At Data Driven 2026, I sat down with Lisa Wolff from ForeSite360 to talk about how they are using AI, together with Reltio, to solve complex challenges in highly regulated environments like the federal government.One example stood out immediately. A deployment of their platform, Foresight 360, built on top of Reltio, has already helped a government agency save more than $100M every year. That kind of impact only happens when the data foundation is right.Lisa made an important point during our conversation. AI only works when the context around the data is well understood and properly managed. Without that, even the most advanced models struggle to deliver meaningful outcomes.We also discussed how large organizations are moving away from slow, traditional data modernization approaches. The pace of change is accelerating quickly, and Lisa expects some major shifts in the next six months as enterprises adopt more agent-driven systems.What I also found interesting was how these ideas translate beyond government. Foresight is applying similar approaches to improve experiences for seniors interacting with public programs and even the guest journey in hospitality. The real power of AI shows up when it solves personal, real-world problems.It was a fascinating conversation about how AI, data context, and agent systems are starting to deliver real impact.hashtag#data hashtag#ai hashtag#datadriven hashtag#reltio hashtag#theravitshow

Everyone talks about AI agents. Very few talk about what they actually change inside enterprises. At the DataDriven Conference, Ravit Jain sat down with Rajeev Krishnan from PwC to unpack what the agentic shift really means for data, governance, and Master Data Management.PwC and Reltio have been working together for years, but the conversation is now moving beyond implementations to real business outcomes. Rajeev shared how their Agent OS ecosystem is being integrated with Reltio to deploy agents that handle tasks data teams have struggled with for years. Things like resolving match queues, auto-classifying records, and improving data quality without constant manual effort.What makes this important is simple. Enterprises already know they need trusted master data. The challenge has always been the operational burden required to maintain it. Agentic AI is starting to change that equation by reducing operational cost while strengthening the data foundation needed for AI-driven decisions.We also discussed what leaders are wrestling with in 2026. Two themes stood out.First, governance is no longer just about data. It is about governing data in the age of AI.Second, organizations are facing a real tension between using data to power AI and using AI to fix their data. The right path depends on the use case, not a one size fits all strategy.It was a grounded conversation about how enterprises are moving from AI experiments to operational impact.#data #ai #datadriven #reltio #theravitshow

AI agents are only as good as the data and context behind them. At DataDriven 2026, I caught up with Sushant Rai from Reltio to talk about their latest announcements and where they see enterprise AI heading next. The big theme was clear. Context is everything. Without trusted enterprise data grounding AI systems, outcomes fall short. That is exactly where Reltio is placing its bets with its Context Intelligence Platform and the evolution of Agent Flow.We talked about how Agent Flow is moving beyond experimentation into real execution. From out-of-the-box agents for governance and operations, to a new Agent Builder that lets teams create agents with simple prompting, the focus is on making agentic AI practical for enterprises. Trust was another major point. Susant emphasized the need for observability, transparency, and explainability so organizations understand what agents are doing and why. Without that, adoption stalls. Looking ahead, Reltio is investing heavily in unstructured data processing, agent-driven data quality, expanded zero-copy integrations, and stronger identity resolution to unify enterprise data at scale.The direction is clear. Enterprises are shifting from dashboards to intelligent systems powered by context-rich data.#data #ai #datadriven #reltio #theravitshow

AI will fail without strong data foundations. At the DataDriven Conference 2026 by Reltio, I sat down with Bronwen Schumacher from ZS to talk about what it really takes to make enterprise data ready for AI.Bronwen leads the Reltio partnership at ZS, a global consulting firm deeply rooted in life sciences and healthcare. ZS has been one of Reltio’s earliest partners, working together for 13 years to build modern Master Data Management solutions for global pharma companies.This year, they won Innovation Partner of the Year for their work integrating ZS’s platform, ZAIDYN, with Reltio. The goal is clear. Deliver an out-of-the-box data and analytics solution that helps organizations, including smaller pharmaceutical companies, master their data faster.We also spoke about what 2026 really demands from enterprises. The focus is shifting toward Agentic MDM, where strong data quality, governance, and change enablement become the backbone for AI. Without organizational buy-in and clean, trusted data, large-scale AI programs simply do not scale.Beyond pharma, ZS is also expanding into travel and hospitality, bringing similar data discipline to customer loyalty and experience use cases.This was a grounded conversation about how real enterprises are preparing their data before chasing AI.Sharing the full interview here.#data #ai #datadriven #reltio #theravitshow

Most companies think they are building data platforms. What they are actually building is the foundation for AI agents to make decisions!!!! At DataDriven 2026, I sat down with Manish Sood, Founder and CEO of Reltio, and our conversation made one thing clear: the role of data platforms is changing fast.Reltio just crossed $185M in ARR with strong growth, but the bigger story is how they are redefining master data management for the AI era. Instead of focusing only on data storage, they are pushing toward Context Intelligence, where AI systems operate on real-time, curated, and governed data.We discussed their new AgentFlow approach, where prebuilt AI agents automate stewardship work like match resolution, profiling, and data exploration. This moves data teams from manual cleanup to intelligent automation.We also talked about speed and access. Their Lightspeed data delivery network aims to make enterprise data globally available in milliseconds so customer-facing and agentic AI systems can actually function in real time.What stood out from customers at the event is simple:- The conversation is no longer about adopting AI- It is about whether their data foundation can support itSharing the full interview here where Manish breaks down the announcements, the strategy behind AgentFlow, and what enterprises should be preparing for next.#data #ai #datadriven #reltio #theravitshow

Most AI systems look impressive in controlled environments.But the real test begins when they meet production data.In my latest conversation, I sat down with Antonio Bustamante, Co-Founder and CEO of bem on The Ravit Show, to unpack one of the hardest problems in enterprise AI today: making unstructured data reliable enough to power real decisions.We talked about why extraction alone is not the problem anymore. The harder challenge is what comes after. Validation. Business rules. Schema enforcement. Exception handling. And making sure the system does not quietly fail when confidence drops.Antonio shared how bem approaches this differently by treating unstructured data pipelines more like critical infrastructure than experimental AI workflows. Instead of relying on prompts and probabilistic outputs, their focus is on deterministic systems that enforce constraints, match against existing data, and flag uncertainty rather than guessing.We also explored why unstructured pipelines tend to fail silently, how teams should rethink data quality in a probabilistic world, and where the real intellectual property lies when building AI-powered products today.What I found most interesting is how this shifts the conversation from model capability to operational trust. Enterprises are not just asking whether AI works. They are asking whether they can depend on it when money, compliance, or customers are involved.If you are building AI products, data platforms, or automation workflows, this discussion goes deeper than the usual AI hype cycle.Watch the full interview below and share your biggest takeaway.#data #ai #bem #theravitshow

They built one of the fastest growing newsletter platforms for creators.I just published my conversation with Tyler Denk, Co-Founder & CEO of beehiiv on The Ravit Show and this one is fully practical.Instead of talking about newsletters in theory, we went inside his own newsletter, Big Desk Energy, and broke down how he actually runs it.On screen.Step by step.No fluff.We covered:* How Big Desk Energy crossed 118,000 subscribers* What is automated vs what still needs direct input* Website builder from landing page to archive* What happens the second someone signs up* How signup data powers smarter automations* Welcome journeys and re-engagement campaigns explained simply* Mistakes new creators make with automations* The post editor and what actually improves open rates* Growth tools like Boosts, Marketplace, referrals, and recommendations* Monetization through digital products, paid subscriptions, and ads* Why beehiiv charges 0% platform fees on paid subscriptionsPersonally, this conversation meant a lot to me.I use beehiiv myself to run our newsletter with 137,000 subscribers. It powers everything behind the scenes for us. Publishing, segmentation, automations, monetization.This episode felt like opening the backend of a real newsletter business and understanding how to think about it as a system, not just emails.If you are serious about building a newsletter in 2026, this is not inspiration content. It is execution content.We also have a special offer for The Ravit Show community:30% off for your first three monthsCode: RAVIT30This link auto-applies the discount:https://beehiiv.link/7twzg8I built 137K subscribers on beehiiv.Now you can see exactly how the CEO himself runs it.#data #ai #newsletter #beehiiv #creators #community #automations #theravitshow

Let's go 2026!!!! This Enterprise series is huge. Loved recording this one with real leaders who are using GenAI and leveraging right Data. Everyone is talking about GenAI in customer service. Very few are talking about what actually works in production. Next week, we are going live with a real, honest conversation on how enterprises are using GenAI with customer data to transform customer service.This is not about theory.This is not about shiny demos.We will talk about:- What GenAI chatbots and virtual agents are actually doing in production- Why most pilots fail when they hit real enterprise data- The kinds of customer questions that create the most value- How teams think about security, privacy, real-time access, and scaleThe business impact leaders really care about like resolution time, agent efficiency, and customer satisfactionJoining me are Ronen Schwartz and Miguel Navarro, who are working hands-on with these challenges inside large financial institutions.If you are building GenAI for customer-facing use cases, or planning to, this session will help you avoid costly mistakes and focus on what actually matters.Customer service is being redefined.But only for teams that get data right.#data #ai #genai #agents #governance #dataquality #k2view #theravitshow

Once teams start trusting AI to explain systems and guide decisions, expectations change. The conversation shifts from understanding to action. In Part 2 of the podcast, we go deeper into what happens next in the AI journey on the mainframe.We talk about trust and why it is the real blocker to scaling AI.How organizations move from alerts and recommendations to agentic workflows.And what safe autonomy actually looks like in real enterprise environments.Liat Sokolov from BMC Software shares how trust in AI develops over time and why it cannot be rushed.Anthony DiStauro from BMC Software breaks down how AI agents and orchestration change day-to-day mainframe operations without removing human accountability.This episode is about delegation, scale, and using AI in a way that strengthens reliability rather than putting it at risk.#data #ai #mainframe #agents #bmi #mainframe #skills #bmc #theravitshow

🚨Breaking: Big announcements by MongoDB. I just spoke to Pete Johnson, Field CTO for AI at MongoDB on The Ravit Show. This conversation cuts through the noise around AI and focuses on what actually works in production!!!!We get into:- What the Field CTO for AI role really looks like in the field- How MongoDB thinks about the data and AI intersection- Which recent MongoDB announcements actually matter- What enterprises should prioritize as they head into 2026- Clear advice for developers, data, and DevOps teams building with AINo hype. No buzzwords. Just practical insight from someone working directly with customers every day.If you are building, scaling, or planning AI beyond pilots, this episode is for you.Thank you MongoDB for sponsoring this post!#data #ai #mongodb #databases #mongodbpartner #agents #agenticai #theravitshow