The Ravit Show

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

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

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

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

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

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

One of the biggest misconceptions in enterprise AI today is that better models automatically lead to better outcomes. During my conversation with Ann Maya at Boomi World Tour London on The Ravit Show, we discussed why many organizations are still struggling to move AI initiatives from experimentation into production despite significant investments in technology.

What stood out to me was her perspective on AI readiness.

Most companies focus heavily on models and tools, but the real differentiators are governance, context, trust, and the ability to connect knowledge across the organization. As AI agents become more common in enterprise environments, these foundational capabilities become even more important.

We also explored:

• Why bigger models don't always produce better business outcomes

• The growing importance of agentic workflows

• How organizations should think about enterprise governance in the AI era

• Why context may become more valuable than the model itself

• The gap between AI ambition and AI execution

This was a thoughtful discussion on where enterprise AI is heading and what leaders should prioritize over the next few years.

The full interview is now live.

#data #ai #boomi #BoomiWorldTour #london #api #BoomiWorld #BoomiAmbassador #theravitshow

Technology is often measured by speed, efficiency, or innovation.

But sometimes, its greatest impact is measured by the lives it helps improve.

At Boomi World Tour London, I had the opportunity to speak with David Minahan from Young Lives vs Cancer about what "tech for good" really means and how technology can help charities deliver greater impact to the communities they serve.

Our conversation went beyond technology itself. We discussed how charities are beginning to explore AI, the opportunities it creates, and the importance of ensuring technology always supports the people at the heart of their mission.

We also talked about:

* The mission and work of Young Lives Matter

* What "tech for good" looks like in practice

* How charities are adapting to AI and digital transformation

* The role technology plays in helping nonprofits work more effectively

* How Boomi supports Young Lives Matter in delivering better outcomes

It was a refreshing reminder that behind every technology platform are people working to solve real-world problems.

The full interview is now live.

#data #ai #boomi #BoomiWorldTour #london #api #BoomiWorld #BoomiAmbassador #theravitshow

AI readiness has quickly become one of the most discussed topics in the industry. But what does it actually mean to be AI-ready? At Boomi World Tour London, I sat down with Maneesh Garg and Subash Chandra Bose M from GlobalLogic to explore how organizations are preparing their data foundations for the next wave of AI innovation.

A key takeaway from our conversation was that AI readiness is not achieved by deploying a model.

It is achieved by creating the right foundation of data, integration, governance, and operational processes that allow AI initiatives to scale successfully.

During our discussion, we covered:

• How enterprises are preparing data for AI initiatives

• Common challenges organizations encounter on their AI journeys

• Why integration plays a critical role in AI success

• The importance of creating trusted and accessible data foundations

• Opportunities they see emerging in the next 12 to 18 months

The conversation reinforced something I've heard repeatedly from industry leaders this year:

Organizations that invest in strong data foundations today will be best positioned to realize value from AI tomorrow.

The full interview is now live.

#data #ai #boomi #BoomiWorldTour #london #api #BoomiWorld ##BoomiAmbassador #theravitshow

For years, integration was viewed as plumbing. Today, it is becoming one of the most important foundations for AI. At Boomi World Tour London, I had the opportunity to speak with Rahul Murudkar from Capgemini about how AI is reshaping the integration landscape and why enterprises are rethinking the way they connect applications, APIs, and data.

The conversation came at an exciting time for Capgemini, which was recently recognized as Boomi FY26 EMEA Growth Partner of the Year, highlighting the momentum the company is seeing across integration, automation, and digital transformation initiatives.

What I found particularly interesting was how the discussion shifted from technology to business impact.

As organizations pursue AI initiatives, integration is no longer just about moving data from one system to another. It is about creating intelligent, connected environments where information can be discovered, accessed, and acted upon in real time.

In our discussion, we covered:

* How AI is changing the role of enterprise integration

* The challenges organizations face with disconnected systems and integration debt

* How modern integration platforms are helping teams work more efficiently

* The impact of AI on API management and automation

* What measurable outcomes customers are seeing from modern integration strategies

* Why integration is becoming a critical enabler for enterprise AI

A great conversation for anyone thinking about the future of enterprise architecture, integration, and AI.

The full interview is now live.

#data #ai #boomi #BoomiWorldTour #london #api #BoomiWorld ##BoomiAmbassador #theravitshow