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. 1d ago

    Inside SAS Innovate: The Shift to Production-Ready AI

    From SAS Innovate, continuing conversations with leaders shaping how enterprise AI actually gets deployed. I spoke to Marinela Profi from SAS and this one cut straight to where the industry really is right now. There’s a lot of excitement around AI. But most enterprises are still not ready to scale it. We talked about why. The gap is no longer about models. It’s about systems, governance, and how AI fits into real enterprise workflows. One of the most interesting parts of the discussion was around MCP (Model Context Protocol) inside SAS Viya. This is about giving AI systems the right context, control, and structure so they can operate reliably in production environments. Because without that, AI stays stuck in experimentation. We also went deep into why SAS is building dedicated agent infrastructure instead of just layering AI on top of existing tools. That decision matters. It allows enterprises to move faster, while still maintaining control, auditability, and trust. That balance is what most organizations are struggling with today. My biggest takeaway. The industry is moving from generative AI experiments To governed, production-ready intelligence. And that shift requires a completely different approach to architecture. #data #ai #SASInnovate #SASVisionary #theravitshow

    15 min

  2. 2d ago

    Data: The Foundation Behind AI Success

    Last week at SAS Innovate, I spoke with Dan Soceanu about something every enterprise is talking about, but very few have solved. AI-ready data. The conversation was very practical. AI needs data, but not just more data. It needs data that is trusted, governed, and fit for purpose, especially as automation and agents start making decisions. We also went into digital sovereignty, which is becoming a key concern. Organizations are thinking deeply about where their data lives, how it is controlled, and how it aligns with regulations across regions. What stood out is that this is not a future problem. It is a current one. And looking ahead, the focus is shifting from collecting data to making it usable and reliable for AI systems. My biggest takeaway. AI success will depend more on data discipline than model sophistication. #data #ai #SASInnovate #SASVisionary #theravitshow

    8 min

  3. 2d ago

    Quantum AI Explained: Making Quantum More Accessible

    I’m here at SAS Innovate, continuing conversations on what’s next for enterprise AI. I had a blast chatting with Amy Stout, and this one was focused on something many enterprises are curious about but not fully ready for yet. Quantum AI. The discussion was very grounded. We talked about the real barriers enterprises face today: - Access to quantum systems - Lack of expertise - And uncertainty on where it actually fits in business problems What SAS is doing with Quantum Lab is interesting because it is trying to remove that friction. Making quantum more accessible, more practical, and connected to real use cases. The key takeaway for me was this. Quantum is not about replacing AI. It is about expanding what problems we can solve. And while it may still be early, the groundwork being laid now will define who is ready when it scales. That’s the kind of long-term thinking I’m seeing here at SAS Innovate. More content coming from SAS Innovate on The Ravit Show. #data #ai #SASInnovate #SASVisionary #theravitshow

    9 min

  4. 4d ago

    SAS Brings AI to Financial Services, Healthcare, Government and Beyond

    I’m here at SAS Innovate, speaking with leaders who are shaping how enterprise AI actually gets deployed. Just spoke to Alyssa Farrell from SAS on The Ravit Show, focused on how SAS is accelerating AI across industries like financial services, public sector, and life sciences.What stood out was how clearly this is not about generic AI anymore. We talked about pre-packaged agents and industry-specific models, and why they matter. Most enterprises don’t struggle to build models. They struggle to make them work in real environments.Regulation, workflows, and domain complexity are not edge cases. They are the system.SAS is leaning into this by embedding that context directly into AI systems, which is what makes agentic AI actually usable at scale.This is the shift I’m seeing here. From building AI. To deploying AI that understands the businessStay tuned for more content on The Ravit Show.#data #ai #SASInnovate #SASVisionary #theravitshow

    10 min

  5. 4d ago

    Equinix’s Internal Use of AI-Tools

    AI conversations are everywhere, but what stood out to me in my chat with Harmeen Mehta from Equinix at Google Cloud Next '26 was how grounded their approach is. They did not start with big external announcements. They started inside. Harmeen shared a simple idea. If AI is going to change how a company works, it has to show up in how employees work first. Not as a side experiment, but as part of daily workflows. That shift is what moved AI from a pilot to something core to the business. At Equinix, AI is not sitting on the edges. It is being used to remove real friction from day-to-day work. Helping teams move faster, reduce repetitive tasks, and focus on higher value problems. That is where the impact starts to become real. But what stood out even more was how they approached trust. Employee hesitation is real. Questions around accuracy, reliability, and job impact come up quickly. Instead of ignoring that, they leaned into it. Clear use cases, transparency, and gradual rollout made a big difference in adoption. The biggest takeaway from this conversation was simple. Do not try to scale AI before you make it work internally. If your own teams are not using it, trusting it, and seeing value from it, scaling it across the business will not work. And looking ahead, the shift is already happening. Not years from now, but right now. AI is starting to change how work gets done inside enterprises, one workflow at a time. #data #ai #equinix #security #googlecloudnext #api #google #theravitshow

    15 min

  6. 6d ago

    How Commvault, Google Cloud, and Clumio are redefining data resilience for the cloud era

    Just wrapped a great conversation with Woon Ho Jung, CTO - Cloud Native, Commvault, at Google Cloud Next 2026 and this one hit a nerve. Everyone is talking about multi-cloud, AI pipelines, and scaling data. But almost no one is talking about what’s quietly breaking underneath it all. Data protection. We got into what’s really happening inside enterprises today. Teams assume replication and retention policies are enough. They’re not. At scale, across billions of objects, things get messy fast. Gaps show up where you least expect them. That’s where the big announcement comes in. Clumio is going deeper with Google Cloud. Clumio for GCP is not just another backup solution. It’s a rethink of how you protect cloud-native data, especially inside Google Cloud Storage where most AI and analytics pipelines live today. What stood out to me: - Protecting data at massive scale is still an unsolved problem for many teams Native tools give a false sense of security - Resilience in the AI era needs a completely different approach If you’re building on Google Cloud right now, this is something you need to pay attention to. This is not about backup. This is about trust in your data layer. #data #ai #commvault #security #googlecloudnext #api #google #theravitshow

    8 min

  7. May 30

    Commvault’s AI vision: Data Activate, AI Protect, and what it means for enterprises

    AI sounds exciting… until you actually try to use it inside a company. That was my biggest takeaway from my conversation with Michael Fasulo from Commvault at Google Cloud Next '26 on The Ravit Show. Everyone wants AI, but when it comes to real deployment, things break. Data is messy, systems are disconnected, and trust is missing. The gap is not ambition, it is readiness. One line that stayed with me. If your data is compromised, your AI is compromised. And with agentic AI, it gets even more real. These systems are not just answering anymore, they are taking actions. That means mistakes can have real impact. My takeaway is simple. The companies that win will not be the ones trying the most AI. They will be the ones fixing their data and putting the right guardrails in place first. #data #ai #commvault #security #googlecloudnext #api #google #theravitshow

    9 min

  8. May 28

    Agentic Governance + Security

    AI agents sound exciting. But my conversation with A. Ravi M., CIO at Box at Google Cloud Next '26 on The Ravit Show was not about excitement.It was about risk. We are moving from AI that answers to AI that acts. And that shift introduces a completely new set of challenges. Not just accuracy, but control, access, and accountability. Ravi pointed out that most enterprises are not struggling with AI capability. They are struggling with governance. Who has access to what data, what an agent is allowed to do, and how you track those actions. Those gaps become very real once agents start operating on sensitive enterprise content. And that is where security needs to evolve. It is no longer enough to protect data at rest. You have to think about how AI agents interact with that data in real time, and what guardrails are in place when they take action. The partnership with Google Cloud plays a big role here. With platforms like Vertex AI and BigQuery, the focus is not just on building agents, but on building them with the right controls and visibility from day one. The biggest takeaway for me was simple. If you are a CIO thinking about AI agents, do not start with deployment. Start with trust. Because without that, none of this scales. #data #ai #box #security #googlecloudnext #api #google #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
    2021 - 2026
  • Episodes
    542
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show