The Ravit Show

Ravit Jain

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. 13 HR AGO

    Fireworks AI: Fine-Tuning Open Source Models at Scale

    AI models are easy. Making them useful is hard. At NVIDIA GTC, I had a blast chatting with Roberto Barroso-Luque from Fireworks AI at the Amazon Web Services (AWS) booth. Fireworks helps teams fine-tune open-source models and run them in production. Built on AWS, it gives you scale, speed, and reliability without managing infrastructure. Use cases are already real. Coding assistants. Customer support that resolves issues You can access it through AWS. Marketplace or start with an API. From models to real applications. #data #ai #AWSPartner #NVIDIAGTC #fireworks #api #models #theravitshow

    5 min

  2. 1 DAY AGO

    Zilliz + AWS: Scaling Vector Databases for AI

    Everyone is talking about AI. But what actually powers it? At NVIDIA GTC, I spoke with Travis White from Zilliz at the Amazon Web Services (AWS) booth. Exciting conversation!!!! We talked about vector databases. The layer that helps AI search through images, videos, and text, not just tables. Zilliz offers Milvus (open source) and a managed version on AWS. That means you can scale, stay secure, and avoid managing infrastructure. Real use cases are already here. Autonomous vehicles Drug discovery, and a few more You can also find Zilliz on AWS Marketplace and get started quickly. Simple idea. AI is not just models. It is the data layer underneath. Learn more from the conversation!!!! #data #ai #awspartner #nvidiagtc #theravitshow

    2 min

  3. 1 DAY AGO

    Building Flexible AI Systems with Deepset and AWS

    Everyone is building RAG. But the real question is what comes next. At NVIDIA GTC, I spoke with Jay Wilder from deepset, makers of Haystack, and the focus was clear. Moving from RAG to agents. Deepset, the team behind Haystack, is helping developers build flexible AI systems where you can choose your models, data, and guardrails. What stood out was their demo. They showed how RAG pipelines can evolve into agent-based systems by integrating across ecosystems like AWS, NVIDIA, and tools like Weights & Biases. This is where things get real. In banking, workflows that took weeks are now being done in hours. In pharma, teams are testing and iterating on complex data pipelines much faster. And all of this is built with flexibility in mind. Not locked into one stack. With Amazon Web Services (AWS) as a long-time partner and availability through AWS Marketplace, it is becoming easier for teams to get started and scale. This is the shift I am seeing. From static pipelines to adaptive AI systems. #data #ai #awspartner #NVIDIAGTC #deepset #api #haystack #theravitshow

    6 min

  4. 2 DAYS AGO

    How Do You Trust AI Agents in Production? Deepchecks + AWS SageMaker Explained

    One thing I keep thinking about from hashtag#NVIDIAGTC. We are moving too fast in building AI, but not fast enough in validating it. I spoke with David Arakelyan from Deepchecks, and the conversation really came down to trust. Once you move beyond demos, the question is no longer what your AI can do, but whether you can rely on it in production. Deepchecks is focused on this exact problem. Their LLM evaluation and monitoring solution helps teams test and stress their systems before they go live. What stood out was their new feature, Know Your Agent, which lets you generate a full report on your AI system with just an API key and understand where it can break. They are also one of the few solutions integrated directly into AWS SageMaker as a partner app and available on AWS Marketplace, making it easier for teams to bring this layer into their workflows. What do you think about it? #data #ai #awspartner #NVIDIAGTC #deepcheck #api #evals #theravitshow

    5 min

  5. 2 DAYS AGO

    Bringing AI to Data with Snowflake Cortex on AWS

    Everyone at NVIDIA GTC is talking about AI. But my conversation with Vinay Sridhar from Snowflake came down to one thing. AI is only as good as the data behind it. Snowflake is building Cortex, an AI layer that runs directly on governed enterprise data. So instead of moving data to AI, teams bring AI to their data. We also touched on how tools like Cortex Code and text-to-SQL are changing how fast teams can build. And behind all of this is Amazon Web Services (AWS), powering the infrastructure and scale. This is the shift. From models to data-driven AI systems. Learn more from the conversation!!!! #data #ai #AWSPartner #NVIDIAGTC #snowflake #NVIDIAGTC #api #models #theravitshow

    5 min

  6. 3 DAYS AGO

    Inside the AWS Marketplace: Deploying Vector Databases and Foundation Models

    AI agents are everywhere at NVIDIA GTC. But here is what stood out in my conversation with Rudy Chetty from Amazon Web Services (AWS) on The Ravit Show. AWS is leaning heavily into this with Marketplace. A growing hub where you can search, purchase, and deploy AI solutions in minutes. From foundation models to vector databases to monitoring tools, everything is starting to come together in one place. We also talked about the role of partners. Because scaling AI is not a one-company job. It takes an ecosystem. AWS provides the infrastructure. More from the AWS Marketplace Kiosk at GTC. #data #ai #awspartner #nvidiagtc #nvidiagtc2026 #api #awsmarketplace #theravitshow

    6 min

  7. 3 DAYS AGO

    Data Quality at Equifax with Anomalo | What Actually Works

    Data quality is still one of the most underestimated problems in AI. Everyone talks about models. Very few talk about whether the data behind those models can actually be trusted. At Gartner D&A, I sat down with Nick Oldham, COO at Equifax, and the conversation was very real. Equifax operates at the center of the global financial ecosystem. That means data integrity is not just a technical problem. It is a business risk. A regulatory risk. A trust problem. What stood out was this shift: - They are not treating data quality as a one-time cleanup anymore. - They are building systems to monitor, detect, and fix issues continuously. That is where platforms like Anomalo come in. Instead of reacting to broken dashboards or failed pipelines, the goal is simple Catch issues before they impact the business. And this becomes even more critical as AI enters the picture. Because AI systems do not fail loudly. They fail quietly when the data is wrong. Nick also shared how their journey was not just about tools. The harder part was organizational. - Aligning teams on what “good data” actually means - Moving from siloed ownership to shared accountability - Bridging the gap between data strategy and real execution Looking ahead, with investments in Google Cloud and tools like Dataplex, the direction is clear More automation More observability Less manual firefighting If you are building AI without solving for data integrity first, you are building on weak foundations. If this topic interests you, Nick will be going deeper into this at an upcoming session: The Road to Self-Driving Data, April 2 go for it https://engage.anomalo.com/the-road-to-self-driving-data This is one of those conversations that is less about hype and more about what it actually takes to make data work at scale. #data #ai #anomalo #dataquality #theravitshow

    11 min

  8. 3 APR

    The Data Quality Crisis No One Talks About

    We are surrounded by the biggest Data and AI leaders at Gartner. Yet one question keeps coming up. Why are so many AI initiatives still failing? I asked Rich Hoyland, President, Global Field Operations, Anomalo to answer that directly on The Ravit Show at Gartner Orlando. His take was simple. AI does not fail because of ambition. It fails because of bad data. We spoke about: -- Why agentic AI raises the stakes for data quality -- Why speed without trust is a risk for executives -- What data quality failure actually looks like inside large enterprises -- Why traditional rule-based approaches are not enough anymore -- And where Anomalo sees the future of data management going One part of the conversation stood out. When AI moves from insight to action, data quality stops being a reporting issue. It becomes a business risk issue. Old approaches were built for dashboards. Now we are feeding data into agents that make decisions. That changes everything. Rich also shared how their long term vision goes beyond just catching bad data to providing enterprises with an agentic “self-driving data” system. It is about building continuous trust in data across the enterprise from ingestion to decision so AI agents can operate and scale safely. If you care about AI that actually works in production, this is one to watch. #data #ai #anomalo #dataquality #theravitshow

    9 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
    2021 - 2026
  • Episodes
    502
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show