The Ravit Show

Ravit Jain
  • 5.0 (2)
  • Technology
  • Updated Daily

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. 2d ago

    Why Generic AI Isn't Enough for Enterprise | Observe.AI CTO

    I had a blast chatting with Jithendra Vepa, CTO and Co-founder of Observe.AI, on The Ravit Show at MongoDB.local Bangalore. Jithendra has a PhD in speech technology and has spent years deep in speech recognition, NLP, and voice AI. He is not someone who got into AI because it became trendy. He has been building domain-specific AI systems long before the current wave, and it shows in how he thinks about the problem. Here is what we got into. -- We started with Observe.AI itself. What they are building, what problem they set out to solve, and why it matters for enterprises dealing with customer conversations at scale. Observe.AI is a contact center AI platform that helps businesses analyze customer interactions, coach agents in real time, and improve performance across support and sales. More than 300 organizations use it. They process millions of support touchpoints daily. -- That volume is where the database conversation gets real. I asked Jithendra what specifically made MongoDB the right fit for that kind of AI and data workload. When you are running models on millions of unstructured conversations every day, the database decision is not theoretical. His answer was practical and specific.We talked about what changes as enterprises move from AI pilots to real deployment. What MongoDB made easier for the Observe.AI team and for their customers that would have been much harder otherwise. This part is useful for anyone trying to figure out the gap between a working demo and a working product. -- We got into the wins and patterns that have stood out as Observe.AI has scaled. Customer outcomes, operational improvements, how teams are actually using the product once it is embedded. The patterns here tell you a lot about where enterprise AI is actually delivering value versus where it is still a slide deck. -- Jithendra gave the keynote at the event. I asked him what the biggest takeaway he wanted the room to leave with was. His answer came from someone who has built a 40 billion parameter contact center LLM and trains domain-specific models instead of relying on generic ones. That distinction matters more than most people realize. -- We closed on the signal versus hype question. His advice for founders and enterprise teams trying to decide where to place their bets right now was grounded in years of shipping, not months of experimenting. A few things stayed with me. Generic AI is not enough for enterprise. Domain-specific models built on domain-specific data is where the real moat lives. The companies winning in AI are not the ones with the most models. They are the ones with the most structured access to the right data at the right moment. Contact centers are one of the first places where AI is delivering measurable ROI at scale. What is happening there is a preview of what is coming for the rest of the enterprise. #data #ai #mongodb #mongodblocal #theravitshow

  2. 4d ago

    The Future of Coding? Build Apps with AI No Code

    Sat down with Mukund Jha, Founder and CEO of Emergent, on The Ravit Show at MongoDB.local Bangalore. Mukund is not new to building. He was part of the team that built Dunzo, founded startups before that, and has deep technical roots in ML and NLP. What he is doing now with Emergent is one of the most interesting vibe-coding stories happening right now. The company recently crossed $100 million in ARR, raised close to $200 million from Creaegis, Amazon, Ranjan Pai's Claypond, and others, and the numbers underneath are just as real as the funding. Here is what we got into. We started from the beginning. What Emergent actually is, the problem that made him want to start the company, and what it looks like in practice today. You describe what you want in plain English, and autonomous AI agents build, test, and deploy the full-stack app for you. Frontend, backend, database, hosting. All handled. The scale is hard to ignore. 10 million apps built across 190 countries. Deployment rates doubled in three months. Two thirds of power users are now taking complex apps live. This is not a demo product. This is a company that hit $100 million ARR eight months after public launch. We got into the database decision. Emergent tested PostgreSQL early on and ran into schema migration loops as agents tried to adapt apps while users kept changing requirements in real time. Mukund walked me through why MongoDB Atlas became the default for every app on the platform, and why the flexible document model maps naturally to how agents actually work. We talked about what is happening as more of these apps move from prototype to production. What MongoDB made easier that would have been much harder otherwise. And the patterns emerging in what people are building, which tell you something about where software is headed. Mukund gave the keynote at the event. I asked him what the one thing he wanted the room to walk away with was. His answer was clear and specific, and worth hearing from a founder who has already shipped at this scale. We closed on India. What the Indian builder community means to him, and why. A few things stayed with me. - The vibe-coding wave is not a toy. When your platform has 10 million apps live and the company just crossed $100 million ARR, the conversation shifts from whether this works to how it scales. - Schema flexibility is not a nice-to-have for AI-native products. It is the reason the agents can actually function when users change their minds every five minutes. - Some of the most interesting software being built right now is being built by people who do not call themselves developers. That changes things. #data #ai #mongodb #mongodblocal #theravitshow

  3. 5d ago

    What Every AI Developer Should Know Before Building at Scale

    What does it actually take to build AI products at scale in India? That was the focus of my conversation with Shrey Batra, Head of Engineering, Platforms at HROne and Founder of Cosmocloud, during MongoDB.local Bangalore. We started with the latest MongoDB announcements, including voyage-context-4, Hybrid Search, Native Reranking, and the expansion of Search and Vector Search. But the discussion quickly moved beyond product launches. Shrey shared what it looks like to build and run production systems in India, the infrastructure challenges that most teams underestimate, and why getting the data layer right matters long before AI agents enter the picture. We also talked about: -- Building Cosmocloud and the lessons from running it in production -- Why Indian AI founders have a unique opportunity right now -- What being a MongoDB Champion really means -- Why developers should join MongoDB User Groups -- How HROne and Cosmocloud use MongoDB today -- Where AI agents are headed -- One technology trend that's overhyped and another that's not getting enough attention It was a practical conversation with someone who is building every day, not just talking about AI. #data #ai #mongodb #mongodblocal #theravitshow

  4. 6d ago

    India Needs 2 Million AI Builders. Here's MongoDB's Plan

    Last week at MongoDB.local Bangalore, I sat down with Basavadarshan G N, or Darshan as most people know him, Senior Academia Partnership Manager for APAC at MongoDB, on The Ravit Show. Darshan sits at the intersection of two things I care a lot about. Developer education, and India's push to actually build for the AI era instead of just consuming it. His work with MongoDB for Academia is quietly one of the more important programs happening in Indian tech right now. Here is what we got into. - We started with the basics. What MongoDB for Academia actually is, who it reaches, and how it fits into the broader Indian developer landscape. If you have not looked at this program closely yet, this part is worth the time - We talked about the 650,000 students the program has already reached since 2023. That is not a small number. Darshan walked me through what has been driving the momentum, and why this moment felt right to double down and go bigger - We went into the big announcement from the event. MongoDB committing to upskill two million Indian builders by 2030. New curriculum in Kannada, Hindi, and Tamil. 1,500 plus institutions. 5,000 educators. I asked him what the actual roadmap to that number looks like, because two million is a promise that has to be earned, and he was clear about how they plan to get there - We spent real time on the language piece. Building curriculum in Kannada, Hindi, and Tamil is not a marketing move. It is an access move. Darshan's view on how big a barrier language has been for students outside the metros, and what opens up for them when that barrier drops, was one of the more grounded moments of the conversation. - We talked about foundational data skills too. The buzz right now is that AI is going to make technical skills more accessible. That may be true. But data skills are still the layer everything sits on, and Darshan made the case for why they are more important now, not less. - We got into the AICTE Virtual Internship Programme. What a student actually experiences, what they walk away with, and what they should be able to build after finishing it. A few things stayed with me. MongoDB is behind half of India's top 100 companies and 50 plus unicorns. Students trained on this stack are being prepared for the exact environment they will walk into on day one. The India AI story cannot be told without the education story. You cannot build two million careers on English-only curriculum. This is the real inclusion play. Two million by 2030 is not a slide. It is a plan with partners, institutions, languages, and a delivery model behind it. Worth watching. Full interview live now!!!! #data #ai #mongodb #mongodblocal #theravitshow

  5. Aug 28

    Everyone Is Building AI Agents Wrong. Here's What Actually Works

    Last week at MongoDB.local Bangalore I sat down with Sejal Khanna, Senior Developer Advocate at MongoDB, on The Ravit Show. Loved hosting her!!!! Sejal spends her days helping developers move from AI curiosity to actually shipping. Workshops, hands-on sessions, product storytelling, community. She works at the layer where hype meets reality, which makes her one of the most useful voices to hear from right now. Here is what we got into. We started with what she is building and teaching right now. The volume of AI content out there is enormous. What she keeps finding herself filling in when she is working with builders directly is the gap between watching a tutorial and actually getting an agent to behave in production. We walked through the announcements from the day. voyage-context-4 GA. Hybrid Search GA. Native Reranking in public preview. Search and Vector Search shipping in Community Edition and Enterprise Advanced. Sejal broke down which of these she is most excited for builders to actually get their hands on, and why the Community Edition move might quietly be the biggest one for developers in India. We spent real time on her workshop, The A to Z of Building AI Agents. Reasoning, tools, memory, agent architectures, and then actually building one using MongoDB as memory, a Claude model, and LangGraph for orchestration. She walked me through what she hopes people walk away able to do, which is a lot more concrete than the average AI workshop pitch. #data #ai #mongodb #mongodblocal #theravitshow

  6. Aug 27

    AI Isn't the Problem. Your Data Architecture Is.

    Last week at MongoDB.local Bangalore I sat down with Pete Johnson, Field CTO for AI at MongoDB, on The Ravit Show. Pete is a good friend and one of the most honest voices I know in this space. We covered a lot of ground. We walked through the announcements from the day. - voyage-context-4 going generally available. - Native Reranking hitting public preview. - Hybrid Search now GA. - Search and Vector Search shipping in both Community Edition and Enterprise Advanced. Pete broke down why retrieval quality has quietly become the most important AI conversation in enterprises right now, and what a real improvement in retrieval actually changes for teams trying to move from pilot to production. We spent real time on agentic AI. What is working, what is still slideware, and why the teams shipping agents in production are almost always the ones who solved the data layer first. We got into the message Pete brought to the general session. AI in production is a data problem, not a model problem. Simple line. Explains why so many enterprise AI programs stall. #data #ai #mongodb #mongodblocal #theravitshow

  7. Aug 26

    What It Actually Takes to Win at AI Transformation

    Wow!!!! Loved hosting Erica Volini, Chief Customer Officer at MongoDB, here at MongoDB.local Bangalore on The Ravit Show. Erica has had a front-row seat to some of the biggest enterprise shifts of the last two decades. Deloitte. ServiceNow growing from 1.5 billion to over 10 billion in revenue. And now MongoDB at the center of the AI moment. So when she talks about how companies actually navigate change, you listen. Here is what we got into. I asked her how this AI moment compares to the transformations she has seen before. Her answer was honest. Faster, messier, and the gap between leaders who are experimenting and leaders who are deploying is wider than people realize. We talked about what she is actually hearing from enterprise leaders right now. Where they are excited, and where they are stuck. The stuck part was the more interesting half. We spent real time on India. MongoDB is behind half of India's top 100 companies and more than 50 unicorns. I asked her what that signals about where India is headed as an AI market. Her read on the speed of adoption here was sharper than I expected. Her background in human capital is rare for someone in her role, and that came through. She thinks about AI as much through the lens of people and skills as she does through the lens of platforms. That framing showed up strongly when we got to MongoDB's commitment to upskilling two million Indian builders by 2030. She made the case for why the developer pipeline matters as much as the product itself, and I agreed with most of it. A few things stayed with me from this conversation. The companies winning with AI right now are not the ones with the biggest budgets. They are the ones whose people are ready to use it. India is not just adopting AI. India is shaping how AI gets built for the rest of the world. And the next two years will separate the enterprises that treated AI as a project from the ones that treated it as a rewiring. More conversations coming soon stay tuned!!!! #data #ai #mongodb #lmongodbocal #theravitshow

  8. Aug 25

    SAP Transformation in 2026: Migration, AI, and the Road Ahead

    For many SAP customers, the next couple of years will be critical. Between the upcoming ECC end-of-support deadline, evolving API strategies, and growing interest in AI, organizations have a lot of important decisions to make. At Boomi World Tour London, I had a chat with Donna Matthews to discuss what all of this means for SAP customers and how they can prepare for what's next. One of the biggest takeaways from our conversation was that modernization isn't just about completing a migration. It's about building a foundation that allows organizations to move faster, integrate more effectively, and take advantage of AI as their business evolves. During our discussion, we covered: * What SAP's recent API policy means for customers * How organizations should be thinking about the 2027 ECC end-of-support deadline * Why integration plays a key role in a successful S/4HANA journey * How SAP customers can start realizing value from AI today instead of waiting until migration is complete * Practical advice for organizations that are still planning or early in their transformation If your organization is navigating its SAP roadmap, this conversation offers valuable insights into the challenges and opportunities ahead. The full interview is now live. #data #ai #boomi #BoomiWorldTour #london #api #BoomiWorld #BoomiAmbassador #theravitshow

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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
    2021 - 2026
  • Episodes
    596
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show