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. 3D AGO

    Agentic AI, Data Foundations, and the Future of Enterprise AI

    Spent time at Qlik Connect this week and one thing became very clear to me. Everyone is talking about AI, but very few are talking about what actually makes AI work. I had a great conversation with Sean Stauth and Kyle Jourdan from Qlik, on The Ravit Show and we went beyond the usual AI hype. What stood out to me is that most teams are not failing at AI because of models. They are getting stuck on data. Not because they don’t have data, but because they don’t trust it, can’t access it easily, or simply can’t operationalize it fast enough. That gap between “we have data” and “we can actually use it for AI” is where most projects slow down. We also spoke about the constant tension between speed and foundations. Everyone wants to move fast with GenAI, but if your data layer is weak, you are just scaling confusion. The real challenge is not choosing between speed or building the right foundation. It is figuring out how to do both at the same time. Another point that stayed with me was around agentic AI. Grounding LLMs in enterprise data is no longer optional. It is the difference between something that looks good in a demo and something that actually works in production. And again, it all comes back to data quality, governance, and accessibility. My biggest takeaway from this conversation is simple. AI is no longer the hard part. Data is. The teams that figure this out will move ahead very quickly. The rest will keep experimenting without real impact. Conversations like this are exactly why I enjoy being on the ground at events like Qlik Connect. Learn from them below!!!! #data #qlik #ai #qlikconnect #theravitshow

    13 min

  2. 4D AGO

    Data Foundation Explained: What You Actually Need for AI

    AI is not the problem. The foundation is. That’s exactly what we unpacked in this conversation with Bruno BILLY and Rahul Bakhshi at APGAR On Air. Here’s what stood out for me. Most organizations are pushing hard on AI. But the data underneath is still fragmented, inconsistent, and not ready for scaleAnd that’s where things breakIn this conversation, we go deep on- What a real data foundation actually looks like- Why most AI initiatives fail before they even start- Where things break at scale across governance, ownership, and trust- What teams can realistically do in the next 90 daysIf you are building AI that needs to run in production, this is worth your timeWatch the full conversation here: https://lnkd.in/g-VSBqat#data #ai #apgar #theravitshow

    34 min

  3. 4D AGO

    How Qlik and AWS Are Changing Enterprise Data Stacks

    Another solid conversation from Qlik Connect 2026. This time with Gregory Pierce, MBA from Amazon Web Services (AWS), and we went deep into what it actually looks like to build data and AI systems at scale. What I liked about this discussion was how practical it was. There is always a lot of talk about cloud and AI, but this was more about how teams are actually making it work. We talked about the partnership between AWS and Qlik, and how it is helping customers bring everything together. Data integration, analytics, governance, all running on a scalable foundation. Not as separate pieces, but as something that needs to work end to end. One point that really stood out was around growth. Data volumes are increasing fast, AI workloads are getting heavier, and most teams are still dealing with legacy systems. The question is not just how to move to the cloud, but how to do it in a way that sets you up for what comes next. We also got into AI and GenAI in modernization. Where does it actually help? Things like speeding up migrations, reducing manual effort, and making systems easier to understand. But at the same time, Greg was clear about being careful. If your data is not reliable, adding AI on top just increases risk. And that led to another important point. Accuracy and trust. As teams use AI to transform legacy systems, they need strong validation, governance, and a clear understanding of what is happening behind the scenes. The last part of the conversation was about flexibility. This space is changing fast. New tools, new architectures, new expectations. The teams that win are the ones that stay adaptable and do not lock themselves into one way of doing things too early. Overall, this was a very grounded conversation on how cloud, data, and AI actually come together. #data #ai #qlikconnect #qlik #daredevil #api #trust #dataquality #agentic #agents #theravitshow

    14 min

  4. 6D AGO

    Qlik Connect 2026 Key Takeaways

    Another great conversation from Qlik Connect 2026. I sat down with Christopher Powell, and this one was all about customers. Not in a generic way, but what it actually means when you see real use cases in action. What stood out was how much focus Qlik is putting on customer stories. When you hear how teams are actually using data in their day to day work, it just clicks. It is not theory anymore. It becomes something you can relate to and apply. We talked about examples across regions, including teams in places like Japan solving very specific problems, and even sports organizations using data to compete with limited budgets. Those stories make everything feel a lot more real. He also walked through some of the key announcements. The Data Impact Awards stood out. Six customers from around the world being recognized not just for using data, but for actually driving measurable impact. Then the push around agentic AI. You can see where things are going. Less about static insights, more about systems that actually help move things forward. The ServiceNow partnership was another big one. Bringing trusted data into a system of action instead of keeping it separate. That shift is important. And there were updates on the engineering side as well, which felt like a direct response to what customers have been asking for. Looking ahead, there is a lot coming. More agentic AI releases through the year, built by teams across Sweden, India, the US, and Canada. And a continued focus on sharing more real customer stories. Overall, this conversation made one thing clear. Technology matters, but what really brings it to life is how customers are using it. #data #ai #qlikconnect #qlik #daredevil #api #trust #dataquality #agentic #agents #theravitshow

    8 min

  5. MAY 15

    Agentic AI in Analytics: Real or Overhyped?

    I got a chance to sit with Charlie Farah at Qlik Connect on The Ravit Show and this was one of those conversations that makes you pause and rethink how we look at data and analytics today. We often talk about tools, platforms, and the next big thing in AI. But what stood out to me in this conversation was how different regions are evolving at different speeds, especially across APAC versus the US and Europe. The ambition is the same, but the maturity, priorities, and constraints vary a lot more than we usually acknowledge. We also discussed Qlik’s analytics roadmap, and it is interesting how fast things are moving. It feels like Qlik Answers just launched, and now the conversation is already shifting toward how these capabilities actually get used in real business workflows. Not just dashboards or insights, but decisions. And that is where I think the biggest gap still exists. Not between data and analytics, but between analytics and actual business value. Many teams are still very good at generating insights, but not as strong at embedding those insights into day to day operations where decisions are made. That last mile is still broken in many organizations. Another point that stayed with me was how easy it is to overlook the hidden challenges. It is not always about technology. It is about alignment, ownership, and making sure the right people trust and act on the data. Looking ahead, the next few years will not just be about better AI or faster analytics. It will be about making these systems actually usable and reliable in real environments. Less experimentation, more execution. What I liked most about Charlie’s perspective is that despite all the changes, the core excitement around analytics has not changed. The opportunity to turn data into something meaningful for the business is still huge. And we are just getting started. #data #qlik #ai #qlikconnect #theravitshow

    13 min

  6. MAY 13

    From Ice to Insights: How Qlik Powers Malmö Redhawks’ Data-Driven Strategy

    Most teams do not lose because of lack of talent. They lose because of decisions. At Qlik Connect, last week, I had a great conversation with Andreas Hadelöv, Assistant General Manager and Lead Analyst at Malmö Redhawks on The Ravit Show, and what stood out was how disciplined their approach to data is. This is a team competing in Sweden’s top ice hockey league with one of the lowest budgets, so they cannot afford guesswork. Everything they do is grounded in data, but in a very practical way. They bring together data from wearables, game events, and training into a single view using Qlik, and use it to plan practices, give player feedback, prevent injuries, and shape game-day strategy. No overcomplication, just focusing on where data actually impacts performance. Where it gets even more interesting is recruitment. They rely on a few trusted metrics like ice time and performance to make hiring decisions. That clarity helps them stay competitive without overspending. Their approach to AI was also refreshing. They are testing it, but only using it where the data is highly reliable, mainly in scouting. Everything else can wait until the foundation is strong. The biggest takeaway for me was simple. Start small, stay focused, and align data with your strategy. That is what makes data actually useful. #data #qlik #ai #qlikconnect #theravitshow

    7 min

  7. MAY 12

    NetApp at RSAC: Securing AI Data from the Inside Out

    What if the biggest shift in data security is happening where most teams aren’t even looking? I was at the RSA Conference at the NetApp booth, and had a great conversation with Gagan Gulati, SVP/GM of Data Services at NetApp, that really got me thinking. For years, we’ve focused on visibility like dashboards, alerts, and detection. But the real shift is moving from detecting risk to actually blocking it at the data I/O layer, right where data is accessed. In a world where AI systems are interacting with data at massive scale, this becomes critical. We spoke about how concepts like a Security Knowledge Graph can help govern not just human users but nonhuman identities by understanding relationships between data, systems, and access in real time without slowing things down. Another important point was around AI training. It is no longer just about protecting data, but about knowing if your data is even ready by scoring it early and preventing risks before they show up in model outputs. And with most enterprise data being unstructured, the storage layer itself is evolving into a place where context and control come together. This conversation made me realize that security is no longer just another layer in the stack, it is moving closer to the data itself. Are we ready to rethink where security should actually live? Explore NetApp's CyRes capabilities -- https://www.netapp.com/cyber-resilience/?utm_campaign=cross-cyre-multi-all-ww-digi-ravit_show_influencer_video_interview_at_rsac_2026-1775578050296&utm_source=linkedin&utm_medium=social&utm_content=video&utm_segment=1j_cyre #data #ai #security #storage #agents #api #netapp #theravitshow

    9 min

  8. MAY 11

    How Cisco Is Preparing for an Agentic Workforce

    “Your next employee might not be human… and your security strategy isn’t ready for it.” At RSAC, I spoke to Tom Gillis, SVP & GM of Infrastructure & Security Group at Cisco on The Ravit Show, and the conversation quickly moved beyond the usual AI hype into something much more real. We talked about agentic AI not just as a tool, but as a system that can act on its own, make decisions, and operate across enterprise data. That shift is forcing a complete rethink of security, because traditional models were built around humans, not autonomous agents. One thing that stood out was how security teams have always played it safe, often defaulting to “no,” but with agentic AI, that mindset becomes a bottleneck. The real challenge now is enabling this new layer of intelligence without losing control. We also unpacked what it really means to secure an “agentic workforce.” If every employee starts running multiple AI agents, each acting independently, the attack surface grows overnight. So do we start treating these agents like endpoints? Do they need identities, permissions, and governance just like humans? And if that’s the case, how do SOC teams even deal with the explosion of alerts and signals? What I found interesting is that this is not some distant future problem, it is already showing up, and companies like Cisco are actively working through how to design security systems that can keep up. This conversation made one thing very clear to me. The AI conversation is no longer about models or capabilities. It is about control, trust, and how we rethink security for a world where humans are no longer the only actors inside the enterprise. #data #ai #rsac #cisco #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
    2022 - 2026
  • Episodes
    529
  • Rating
    Explicit
  • Copyright
    © Ravit Jain
  • Show Website
    The Ravit Show