The Ravit Show

Ravit Jain
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The Ravit Show aims to interview interesting guests, panels, companies and help the community to gain valuable insights and trends in the Data Science and AI space! The show has CEOs, CTOs, Professors, Tech Authors, Data Scientists, Data Engineers, Data Analysts and many more from the industry and academia side. We do live shows on LinkedIn, YouTube, Facebook and other platforms. The motto of The Ravit Show is to the Data Science/AI community grow together!

  1. 23H AGO

    AI Agents in the Enterprise: Key Insights from the Databricks State of AI Agents Report

    Everyone is talking about AI agents. But very few conversations are grounded in real data. Databricks just released their new State of AI Agents report, and it gives a clear picture of how enterprises are actually using AI today, what is working, and where things are headed next. I sat down with Kunal Marwah, Mason Force, and Chengyin Eng from Databricks to break down what stood out to them from the report and what they are seeing directly with customers. We talked about why companies are moving from to multi-agent systems, how teams are choosing their first real business use cases, and how agents are driving the need for a new type of database called Lakebase. We also discussed what separates teams that get AI into production from those stuck in endless pilots. Governance, evaluation, and clear alignment to business outcomes came up again and again. If you are leading data, AI, or product initiatives, this conversation gives a practical look at what enterprise adoption actually looks like today and what leaders should focus on next. I have shared the link to the full report in the comments if you want to dig into the data yourself. Learn more about -- -- Databricks Mosaic Research: https://www.databricks.com/blog/category/ai/mosaic-research -- Databricks Industry Solutions: https://www.databricks.com/solutions/accelerators #data #ai #report #agents #chatbots #api #business #databricks #theravitshow

    32 min

  2. 1D AGO

    The Symbiotic Relationship Between AI and MDM

    What if AI is not just powered by master data… but actually improves it? At the DataDriven Conference, Ravit Jain sat down with Anjan Roy from Deloitte, who leads the global life sciences MDM practice, to talk about the real relationship between AI and Master Data Management. One line from our conversation stayed with me: AI supports MDM and MDM supports AI. Most companies talk about preparing data for AI. Deloitte is also focused on the reverse. Using AI to make MDM programs faster, smarter, and more scalable so organizations can realize value sooner. In life sciences, this is not theoretical. It currently takes 10 to 12 years to bring a drug to market. If better data and AI can reduce that timeline by even 10 to 20 percent, patients get access to treatment sooner. That impact is real. They also discussed how agentic AI is starting to change the pace of execution. Life sciences is one of the most regulated industries in the world, yet we saw vaccines come to market in nine months during COVID. The acceleration is possible when data, governance, and AI come together with the right intent. Looking ahead six to eight months, Anjan expects AI to become more operational, data to be more accessible, and organizations to move from gut-driven decisions to data-driven action. This is powerful conversation about speed, scale, and impact in one of the most critical industries. #data #ai #datadriven #reltio #theravitshow

    5 min

  3. 2D AGO

    Blumetra and Reltio: Driving Value and Context with Master Data

    LLMs can accelerate everything. But without context, they accelerate you in the wrong direction. At DataDriven Conference 2026 by Reltio, Ravit Jain had a powerful conversation with Satish Mallavolu, CEO of Blumetra Solutions, about the end-to-end data life cycle and what it really means to monetize data. One message came through clearly. Master data is not optional. It is the glue that holds the enterprise together. Satish described LLM acceleration like oil in an engine. It helps you move faster. But without strong context, and without master data as a core ingredient of that context, that speed will land you in a ditch. They spoke about why enterprise leaders are rethinking their foundations. If the data layer is weak, every AI use case built on top of it will struggle. Garbage in, garbage out is still true, even in the age of generative AI. Looking ahead, Satish believes every enterprise will need a serious metadata practice. He even advocates for a Chief Metadata Officer role. Without ownership of metadata and context, AI initiatives will continue to produce inconsistent results. They also discussed real use cases, from campaign activation and churn prevention to smarter upsell and cross-sell strategies, and better data retention. This was a grounded conversation about turning data into business value, not just dashboards. #data #ai #gartnerda #wisdomai #theravitshow

    8 min

  4. 3D AGO

    How Workato and Reltio Enable Business Success with Data Orchestration and Integration

    MDM is back. And this time, it is tied directly to AI outcomes. At DataDriven Conference 2026 by Reltio, I had a great conversation with Avinash (Avi) Deshpande, Field CTO at Workato, about how integration, MDM, and agentic workflows are coming together. One thing was clear. MDM is no longer a back-office data discipline. It is becoming the context engine for AI. Workato plays a critical role in this ecosystem. As a strategic partner with Reltio, they act as the integration hub powering the data layer. That means enabling inbound data, enriching it with external sources like Dun & Bradstreet, and activating it across the business for real consumption. But the bigger shift we discussed was agentic flow. This is where traditional MDM is being reimagined. Instead of static processes, agents operate within workflows to improve automation, user experience, and speed. The industry is moving past experimentation and toward business enablement. By mid-year, Avinash expects most enterprises to be done testing and focused on measurable impact. And that is what leaders care about. Real ROI. The combination of integration, trusted master data, and agentic capabilities is no longer theoretical. It is accelerating outcomes across enterprises. #data #ai #datadriven #reltio #theravitshow

    7 min

  5. MAR 6

    Reltio's Hockey Stick Growth: CRO Alyson Discusses the Journey to $185 Million ARR

    Reltio crossed $185M in ARR and saw 58% growth in the second half of the year. That kind of acceleration in an enterprise platform signals strong market pull. At the DataDriven Conference 2026, I sat down with Alyson Welch, CRO of Reltio, to talk about what customers are actually asking for in the age of AI. Alyson owns the full customer journey, from acquisition to support, and also leads the partner ecosystem. Her lens is simple. If the customer does not see value in their data, nothing else matters. One insight stood out. Enterprises are drowning in applications. One former CIO shared she had 1,500 enterprise apps to manage. That means data is locked everywhere. The real demand today is not just dashboards or models. It is a trusted, unified data layer that sits between enterprise systems and AI. That is where Reltio is focused. Bringing accuracy, trust, and unification so companies can actually use their data across environments. We also discussed agentic workflows. In an agent-driven world, your data foundation cannot be average. Every automated decision depends on it. This is not just a tech shift. It is a cultural shift. Leaders now have to think about how humans and AI agents work together and how to build capability across both. The momentum reflects this shift. This conversation was about trust, scale, and what it really takes to lead in the AI era. #data #ai #datadriven #reltio #theravitshow

    8 min

  6. MAR 5

    How ForeSite360 and Relio Saved the Federal Government Over $100 Million Annually

    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

    9 min

  7. MAR 4

    PWC and Reltio: Driving Value with Agentic AI and MDM

    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

    6 min

  8. MAR 3

    Reltio on Agentic AI, Data Unification, and the Trust Factor

    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

    13 min
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About

The Ravit Show aims to interview interesting guests, panels, companies and help the community to gain valuable insights and trends in the Data Science and AI space! The show has CEOs, CTOs, Professors, Tech Authors, Data Scientists, Data Engineers, Data Analysts and many more from the industry and academia side. We do live shows on LinkedIn, YouTube, Facebook and other platforms. The motto of The Ravit Show is to the Data Science/AI community grow together!

Information

  • Creator
    Ravit Jain
  • Years Active
    2022 - 2026
  • Episodes
    479
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show