

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!
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!
Episodes
Mentioned books

Oct 30, 2025 • 13min
Business-Oriented Pain Points and Enterprise Value
 Orchestration is where AI work meets reality. If it fails, everything slows.I caught up with Luke Lipan, Sales Leader for North America at Kestra, to get the view from the field.Here’s the signal:Execs start with risk and reliability. Is it visible. Is it repeatable.Teams love open source to move fast. Scale, support, and ownership tip them to enterprise.Security and governance are not add-ons. They decide the deal.Success is measured in fewer incidents, faster cycles, and cleaner handoffs. Cost is a result, not the target.Consolidation is happening. One platform beats a patchwork when the stakes rise.If you are at Big Data London, meet the Kestra team at Booth N48.#data #ai #bigdataldn2025 #kestra #theravitshow 

Oct 29, 2025 • 11min
Automated Orchestration for Faster Innovation and Lower Costs
 Declarative beats duct tape. I spoke to Eddie Jaoude, Lead Education Engineer at Kestra at the Big Data London, to unpack how teams actually ship with modern orchestration.Here is the flow we covered:* Why defining workflows declaratively changes the game for developers coming from Python DAGs* How teams adopt Kestra step by step without a risky forklift migration* Using the Playground in Kestra 1.0 to test steps safely and tighten the feedback loop* Plugging into existing stacks with plugins and a language-agnostic design so you do not rewrite everything* The first usage patterns Eddie sees in the wild, from scheduled jobs and data pipelines to event-driven tasksClear takeaways. Fewer moving parts. Faster iteration. Stronger reliability.#data #ai #kestra #bigdataldn #theravitshow 

Oct 28, 2025 • 22min
CISO Playbook for AI Security in 2025
 Everyone is racing to build AI. Almost no one is securing it end to end. I sat down with Vidya Shankaran, CISSP, Field CTO, Commvault and we talked about the real picture. AI risk is not just about models. It is about data, access, and clean recovery. Most teams are missing the biggest gaps.We covered:• The top AI security threats right now and where teams underestimate risk• The AI stack no one is securing in practice• If a CISO asks where to start and how to prioritize controls• Why traditional data access governance is broken• What is at stake if enterprises do not modernize access to sensitive data• How Satori delivers faster access with tighter control• How Commvault protects AI end to end and even recovers vector indexes and configs after an incidentWe also talked about SHIFT 2025 in New York on Nov 11–12. This event will bring together AI security, data access, and resilience with real answers.In-person: https://lnkd.in/dZ6t8nbY?If you cannot attend in person, there is a full virtual experience on Nov 19.Virtual: https://lnkd.in/dz8yhf-cThis was a raw and tactical conversation. If you care about building AI that moves fast with control, you should watch it.SHIFT will set the tone for how enterprises secure AI in 2025.#data #ai #security #shift2025 #theravitshow 

Oct 27, 2025 • 34min
Scaling Trustworthy AI for the Enterprise with Vianai Systems
 A candid conversation with Navin Budhiraja, CTO and Head of Products at Vianai Systems, Inc. on The Ravit Show in Palo Alto. From Bhilai to Palo Alto. Navin topped the IIT entrance exam, studied at Cornell, and led at IBM, AWS, and SAP. We sat down to talk about building AI that enterprises can actually use.What we covered:- Vianai’s mission and the hila platform: why it exists and the problem it solves- How hila turns enterprise data into something teams can interact with in plain language- Responsible AI in practice: tackling hallucinations and earning trust- Why a platform like hila is needed even with powerful foundation models- Conversational Finance: what makes it useful for finance teams- Real integrations: ERP, CRM, HR systems, and how this works end to end- Security for the real world: air-gapped deployments, privacy, and certifications- The road ahead: how AI, IoT, and cloud are converging in the next 2 to 3 years- Advice for the next generation of builders from Bhilai, the IITs, and beyondWhy this matters:Enterprises want outcomes, not hype. Navin’s lens on trust, flexibility, and scale shows how AI moves from pilot to production.Thank you, Navin, for the clear thinking and straight answers. Full interview on The Ravit Show YouTube channel is live.#data #ai #vianai #theravitshow 

Oct 25, 2025 • 43min
AI Infra with Hammerspace and Hitachi
 Stop moving data. Start shipping models. I sat down with Molly Presley from Hammerspace and David A. Chapa from Hitachi Vantara to unpack the new Hitachi iQ M Series and how it pairs with Hammerspace for real GenAI work.What we cover• Running AI on data where it lives across sites and clouds• One global namespace so teams stop copying data back and forth• Flexible GPU choices that fit your budget today and scale later• Independent scaling of compute and storage to control costs• How this shows up on day one for training and inferenceWhy this matters• Faster first results without re-architecting your data• Fewer bottlenecks keeping GPUs idle• A simple path from pilot to productionWatch the full conversation. Link in the first comment.Thank you Molly and David for the clear breakdown and the practicality teams need right now.#data #ai #hammerspace #theravitshow 

Oct 24, 2025 • 7min
How Ticketmaster Runs Stable on Splunk
 Big traffic moments expose weak systems. Ticketmaster treats them as a proving ground.At .conf2025 I sat with Stephen from Ticketmaster to break down how they run reliable, resilient operations with Splunk. We started with his role and what his team owns. Then we went into the daily rhythm: where Splunk sits in their stack, how they monitor live traffic, and how signals turn into action during spikes.We talked about impact. Faster incident response. Tighter collaboration across teams when every second counts. Clear visibility across services so they can move from symptoms to root cause with less back and forth.Digital resilience was a major theme. Stephen walked through how they use Splunk products to harden critical paths, pressure test failure scenarios, and keep fan experiences stable during on-sales and marquee events.We also covered outcomes the business cares about. Better uptime. Fewer fire drills. Cleaner handoffs. The ability to learn from every incident and feed it back into playbooks and automation.We closed on what is next. More proactive detection. More use of data to predict hot spots before they flare. A roadmap that keeps resilience and customer experience front and center.#splunkconf25 #SplunkSponsored #data #ai #theravitshow 

Oct 23, 2025 • 7min
BOTS Lessons for Real-World SecOps
 Competitions can change careers. Katie Brown is proof.At .conf2025 I sat with Katie Brown, Director of Platform Security at Splunk. We talked about her path from winning Boss of the SOC to joining Splunk, how she still supports the competition, and what her day to day looks like now. She shared a memorable challenge from BOTS that shaped how she works, practical advice for anyone thinking about capture the flag events, and why hands on contests help close the cybersecurity talent gap.Highlights • From BOTS champion to leading platform security, a clear example of skills turning into opportunity • Staying close to BOTS as a mentor and builder so more people can learn by doing • Lessons that stick, pressure testing analysis, teamwork, and clear thinking under time limits • Simple advice for newcomers, start small, practice often, document what you learn, share your work • Why competitions matter, real signals of skill, faster hiring signals for teams, confidence for candidatesIf you want a grounded view of how hands on learning opens doors in security, this will help.#splunkconf25 #SplunkSponsored #data #ai #theravitshow 

Oct 22, 2025 • 4min
Inside Splunk’s Data Viz Zone at .conf
 I had a blast at .conf25 2025 by Splunk and an on-site interview I recorded with Lizzy Li, Principal PM for dashboards at Splunk. I spent time at the Data Visualizations area to understand how teams bring Splunk data to life for investigations and exec reviews. Lizzy walked me through three layers:- Splunk UI Toolkit for reusable UI components so internal teams and developers can build apps faster- The dashboard framework and visualizations that power charts across the Splunk portfolio and let developers create custom experiences- Dashboard Studio, the general purpose tool most customers use to build and share dashboardsWhat stood out:- Flexibility. Customers are not limited to charts in a grid. Think floor plans, architecture diagrams, and network maps that match real-world layouts- One view of more data. Dashboard Studio can bring together logs, observability metrics, and with federation, external data sources- Scale and performance. Tabs let you pack multiple dashboards into one, and performance updates keep large numbers of charts responsive- New this year. More advanced logic and the ability to show or hide panels dynamically so analysts can tailor the view during an investigationIf you care about clear, flexible dashboards that can handle real-world complexity, you will like this conversation. Full interview is below.#splunkconf25 #SplunkSponsored #data #ai #theravitshow 

Oct 21, 2025 • 15min
Data Readiness: Why 52% of AI Fails
 AI is only as good as the data behind it. In our new episode, I sat down with Makesh Renganathan from Informatica’s product team to talk about what it really takes to get data AI-ready and ship use cases that move the needle.Highlights:* Only 48% of AI projects make it to production. The gap is data readiness.* Start with clear outcomes. Then build the foundation: completeness, quality, context, governance, security, and timely delivery.* Biggest blockers today: fragmented sources across legacy and cloud, 80–90% untapped unstructured data, and missing guardrails for trust and lineage.* Quantity is not quality. Clean and diverse data beats “more data.”How Informatica helps:* One platform with IDMC to connect, transform, and integrate at scale, including RAG ingestion.* Deep metadata and lineage to add context and trace outputs back to sources.* Built-in governance and data quality to keep sensitive data controlled and compliant.* Low-code and AI-assisted build with CLAIRE so existing teams can deliver faster, from pipelines to agents.Rapid takeaways from Makesh:* Treat data as a strategic asset before you scale models.* The future is AI-driven data management that automates integration, quality, and governance so people focus on strategy.The episode is live now. Watch and tell me which part resonated with your current AI stack.#data #ai #informatica #theravitshow 

Oct 20, 2025 • 15min
Partners Power Data Modernization
 AI will not fix a broken data foundation. Fix the foundation first. I sat down with Richard Ganley, SVP, Global Partners at Informatica, to unpack a simple blueprint for AI-ready data modernization on The Ravit Show!!!!What we covered -- • Why modernization is now urgent: legacy stacks create scattered data, hand-coded pipelines, high cost, and low trust in reports• The goal state: a unified, automated platform where data is discoverable, governed, and trusted so teams move faster and spend less• Why partners matter: 650 active partners. 35% of new business is partner-sourced. Partners are involved in about 90% of opportunitiesHow the work gets done -- • Partner accelerators scan thousands of legacy jobs, map dependencies, and automate code conversion to modern Informatica mappings• LTIMindtree’s IRX is a good example. Plan with automated analysis. Execute with 60–70% automated conversion. Validate with automated testing. Less manual effort. Fewer errors. Predictable timelinesProof it works• Statewide healthcare provider: 70% automation in migration, 30% less effort, 3x cost savings after decommissioning legacy and moving to cloud• Global financial services firm: regulatory reporting time cut from weeks to days, data quality score up 40% in year one, millions saved by reducing manual reconciliation and riskIf you are staring at a complex legacy environment and want a clear path to AI-ready, this conversation will help. Watch the full interview on The Ravit Show.#data #ai #dataquality #informatica #theravitshow 


