The Ravit Show

#EVOLVE25 London was a clear signal that Big Data is entering its third era, and it is about outcomes, not buzzwords. I sat down with Sergio Gago, CTO, Cloudera and we went straight to the shift everyone is feeling. This era is defined by convergence. The work now is to bring on-prem and cloud together so teams can move fast, stay compliant, and keep costs in check. That is where the real AI wins will come from.Here is what we covered in the interview I am publishing next:- What truly defines the third era of Big Data and how it differs from the last decade- Why convergence matters now for performance, cost, and control- Where Cloudera wins today, and where it chooses not to compete- How a unified data foundation raises trust in AI- The new Cloudera + Dell “AI-in-a-box” approach for private, trusted AI- A five-year view of on-prem, cloud, and AI working together- Cloudera's vision to support this shift end to endIf you care about building trustworthy AI on real enterprise data, this conversation will be useful. #data #ai #EVOLVE25 #cloudera #theravitshow

Sovereign cloud in Europe just moved from idea to action. At EVOLVE London I sat down with Christopher Royles from Cloudera. Cloudera has been named a launch partner for the new AWS European Sovereign Cloud, and we unpacked what this means for builders, leaders, and regulators across EMEA.Here is what we covered in the interview I am publishing next:- What “sovereign by design” means in practice for data, control planes, encryption, and operational access- How this model helps organizations meet strict European requirements while keeping teams productive- How it connects to Cloudera's Private AI strategy so enterprises can run AI on their terms- Where sovereign cloud demand is strongest across EMEA and why industries like public sector, financial services, and healthcare are leaning in- A practical path to comply without stalling innovation, from architecture choices to operating modelsIf you care about trusted AI, data control, and real-world compliance in Europe, this conversation will be useful. I will share the full interview with Chris next.#data #ai #sovereign #cloudera #theravitshow

Live from POSSIBLE by Teradata with Sumeet Arora, Chief Product Officer. had a blast chatting with him about five things: Trends. New announcements. Data and AI trends inside the enterprise. Real use cases. What is next for the industry.New announcements -- - Autonomous Customer Intelligence. Turning customer signals into timely actions across the journey.- NewtonX research on AI for customer experience. Where leaders are investing and where gaps still exist.Trends in Data and AI- Moving from pilots to production with tighter links between trusted data and AI.- Clear governance and cost control built in from the start.Use cases- Retention and growth with real-time signals and simple next best actions.- Smarter personalization without copying data all over the place.Future- Faster paths from idea to impact.- Smaller, focused teams shipping measurable outcomes.#data #ai #possible2025 #teradata #theravitshow

WOW! It was so nice to meet the man himself and even interview him on The Ravit Show at Possible 2025, Steve McMillan, President and CEO of Teradata. Getting this time on camera felt special.We kept it human and future focused:- His favorite Possible moment and what it revealed about the crowd- The one belief he hopes people take home and act on- When ideas strike for him, morning or night- The place he goes to dream bigger- What is still on his “possible” bucket listBetween the lines, you will hear the direction Teradata is setting:-- Moving from snapshots to signals so decisions fire in real time-- A cleaner path from data products to activation across the stack-- Agents that don't just chat but lift outcomes like CLV-- Guardrails and services that help teams run this at scale-- A builder mindset with new tools on the waIf you care about where enterprise CX is heading, you will want to hear this one. I have also shared the link to all announcements from Possible 2025!!!!#data #ai #possible2025 #teradata #theravitshow

Breaking down trust in AI, not just talking about it. I just sat with Manisha Khanna, Global Product Marketing Leader for AI at SAS, to unpack the SAS–IDC Data and AI Pulse. The core theme is simple. Trust drives ROI.Key takeaways:- Trustworthy AI leaders outperform because they do the basics well. Data lineage, access control, model monitoring, and clear ownership.- Order matters. Fix data quality and governance first, then productize, then scale. Skipping steps is how pilots stall.- Guardrails in SAS Viya make “safe by default” real. Clear policies, repeatable workflows, and measurable outcomes.- Agentic AI readiness is not a tool choice. It is about reliable data, governed actions, and feedback loops that teams can audit.Why this matters:Enterprises keep chasing bigger models while the wins come from cleaner foundations. If you want impact, make trust a requirement, not a marketing line.Watch it, share it with your team, and pressure test your own roadmap against these basics.#data #ai #agenticai #sas #theravitshow

Agents are here. Governance decides who wins.I just published my interview with my friend Marinela Profi from SAS. Marinela breaks down agentic AI in a way leaders can use today. Clear. Practical. Actionable.What we covered:- What makes agentic AI different and why enterprises should care- Autonomy levels, decisioning, orchestration, and the human-AI balance- Where teams go wrong: hype vs readiness, data maturity, governance, and missing orchestration- Real use cases on Viya across banking, insurance, and manufacturing- Why “LLMs are not agents” and how to combine deterministic and probabilistic methods with governance- What a CIO or CDO should do now to move from pilots to productionMarinela is sharp and grounded. She touched the important points and kept it real for enterprise teams.The interview is live. Watch it and share your takeaways.

AI without observability is guesswork.I har a blast chatting with Patrick Lin, SVP and GM of Observability at Splunk on The Ravit Show. We get straight into how teams keep AI reliable and how leaders turn telemetry into business results.What we cover: • .conf25 updates in Splunk Observability • AI Agentic Monitoring and AI Infrastructure Monitoring • How a unified experience with Splunk AppDynamics and Splunk Observability Cloud helps teams ship faster with fewer surprises • Why observability is now a growth lever, not just a safety net • Fresh insights from the State of Observability 2025 reportMy take: • The nervous system of AI is observability • Signal quality beats signal volume • OpenTelemetry works best when tied to business context • When SecOps and Observability work together, incidents become learning momentsIf you care about reliable AI, faster recovery, and clear impact on productivity and revenue, this one will help.#data #ai #conf2025 #splunk #splunkconf25 #SplunkSponsored #theravitshow

I sat down with Jeff Baxter, NetApp to discuss about the announcements from INSIGHT to go deep on the new announcements today and why they matter for teams building with AI.We covered what this means in practice for customers. The NetApp AI Data Engine moves data to the right place at the right time, manages metadata, lineage, and versioning so work is reproducible, and adds AI powered ransomware detection so teams can ship with confidence. It runs as one platform across on premises and all major clouds, so hybrid stays simple and cost aware.Highlights from our conversation:• From data to innovation. A single data platform that reduces handoffs and cuts wait time for data scientists and engineers.• Reproducible AI by design. Metadata, lineage, and versioning are first class so you can rerun, compare, and promote models with clarity.• Security that keeps pace with AI. AI powered ransomware detection plus built in controls to protect sensitive data without slowing teams down.• One control plane. On prem and across major clouds with consistent operations, cost visibility, and policy enforcement.My take:• This is about operational discipline, not hype. Reproducibility and lineage are the difference between a demo and a dependable AI program• Security has to be native to the data platform. If it is bolted on later, teams hesitate and AI work stalls• Hybrid is the real world. A unified approach across on prem and clouds reduces complexity and keeps options openIf you are scaling AI and want fewer blockers between data and outcomes, this will help.“Explore NetApp AI solutions” AI solutions page: https://www.netapp.com/artificial-intelligence/?utm_campaign=cross-aiml-multi-all-ww-digi-spp-ravit_/_baxter_yt_interview-1760561150310&utm_source=youtube&utm_medium=video&utm_content=video#data #ai #insight2025 #netapp #theravitshow

Ransomware is getting faster. Your recovery needs to be faster.I had a blast chatting with Ryan Howard from BMC Software AMI Security on building cyber resiliency for mainframe environments. Simple, practical, and focused on what actually works in the real world.What we covered:* What cyber resiliency really means for mainframes* The core controls that matter: prevention, detection, isolation, recovery* Common blockers teams hit when rolling out new controls* A real incident walkthrough and how recovery stayed on trackWho should watch:* Security leaders who own mainframe risk* Infra and ops teams running mission-critical workloads* Anyone tightening their ransomware playbookWatch the interview now and share it with your team!!!!#cyberresilience #ransomware #mainframe #security #incidentresponse #bmc #theravitshow

What happens when AI agents become your teammates on the mainframe?I sat down with Anthony DiStauro from BMC on The Ravit Show to explore how agentic AI is moving from hype to real work. We unpacked the building blocks, the use cases, and what this shift means for teams who keep mission-critical systems running.Highlights we covered:- The teammate you didn't hire: where agents plug in first across monitoring, remediation, change checks, and capacity tuning.- The basics in plain English: AI Agents, Agentic Workflows, and MCP Servers, and how they connect to form an execution layer that can act, not just alert.- Why now: falling hype, rising adoption as teams want safer automation with clear guardrails.- From mundane to strategic: operators focusing on performance engineering, cost optimization, and resilience design while agents handle the repetitive loops.- Capturing know-how: using agents to encode runbooks, tacit fixes, and tribal knowledge so it survives turnover.- Five-year picture: proactive, self-healing mainframes where agents predict drift, test changes, and roll back safely.- Humans + agents: trust comes from transparency, audit trails, and clear handoffs.- Invisible infrastructure: agentic workflows that hum in the background and surface only when needed.- From dashboards to decisions: moving beyond graphs to actions with approval gates for high-risk steps.- Future talent: a shorter learning curve for newcomers, making mainframe roles more attractive.If you care about reliability, cost, and speed on the mainframe, this is the next chapter.#data #ai #mainframe #bmc #theravitshow

What if your mainframe could talk back and guide the fix? I spoke to Liat Sokolov, Product Manager for AI solutions and an AI Evangelist at BMC Software. We explored how teams move from manuals and dashboards to real conversations with the platform. Liat breaks down why “guided resolution” beats “just answers” by giving the next right step in context, cutting time to recovery and reducing errors.We dug into the GenAI knowledge expert that keeps hard-won expertise in house as veterans retire. It becomes a coach for new developers and operators, helping them ramp faster and avoid costly mistakes.We also separated conversational AI from AI Agents and showed why enterprises need both. Picture agents coordinating across dev, ops, and cloud to roll out a change with checks, traceability, and rollback. That is how you modernize with confidence. Liat also explained why the mainframe can be the most explainable platform in the AI era, which matters for trust and safety.We finished with a practical path forward. Start with one high-value workflow, capture the expert playbook, pilot a conversational assistant with guardrails, then add agents as you prove value.If you care about making the mainframe simpler, safer, and faster, this interview is worth your time.#data #ai #mainframe #bmc #theravitshow

What happens when enterprise-grade AI visualization meets on-prem reality? I sat down with Leo Brunnick, Chief Product Officer at Cloudera on The Ravit Show, to talk about a major shift: bringing Cloudera Data Visualization to on-prem environments.We got deep into:-- Why now? What pushed Cloudera to extend this capability beyond the cloud-- How AI Visual and natural language querying are finally breaking barriers for non-technical users - right at the source-- The actual features that make this visualization layer powerful—not just dashboards, but intelligent, explainable insights-- Real business impact: we talked through use cases where organizations are solving high-stakes problems by giving their teams access to AI-powered visualizations on-prem-- And most importantly—where this is all headed. Leo shared a vision that includes GenAI, real-time visualization, and enabling large enterprises to move faster, smarter, and more transparently with their data-- The future of enterprise BI isn't about choosing between cloud or on-prem. It's about bringing AI to wherever the data livesIf you're navigating complex environments or looking to scale AI-driven insights inside the firewall, this conversation is worth your time.#data #dataviz #ai #cloudera #theravitshow

During GraphSummit London, Neo4j put $100M to become the default knowledge layer for agentic systems. I spoke with Sudhir Hasbe, President & Chief Product Officer at Neo4j to break it down.What we covered* The $100M push. Why Neo4j is betting on graph as the knowledge layer for agentic systems* Graph Intelligence. Turning disconnected data into explainable context your agents can trust* Aura Agent. Build, test, and deploy agents on your graph data in minutes. Early access now. GA in Q4* MCP Server for Neo4j. A cleaner path to add graph memory to the agents you already run* Use cases. Fast wins in healthcare R&D, procurement and supply chain, and financial operations* What's next. GA timelines, first milestones, and how customers will measure impactWhy it mattersMost pilots fail without context and memory. Graphs give agents structure, reasoning, and traceability. That is how you ship production outcomes, not demos.#Neo4j #GraphSummit #GenAI #AgenticAI #GraphIntelligence #TheRavitShow

I had a blast at GraphSummit by Neo4j yesterday in London. I spoke to Michael Hunger on The Ravit Show and we went deep on Neo4j's $100M GenAI push and what it means right now. Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes — https://bit.ly/3KTjxlJWe discussed about these developments in the interview • How this investment helps teams move past stalled pilots and get real results on production data • Aura Agent explained in plain language, with the first two use cases to try for fast wins • MCP Server for Neo4j and how it lets existing agents plug into graph memory with natural language and text to query • What “default knowledge layer” looks like on day one, including how to keep results explainable and traceable • Timelines and signals to watch as Aura Agent and the MCP Server move to GA in Q4The interview is live now. If reliability, speed, and explainability are on your roadmap, you will find this useful.#data #ai #neo4j #graphs #theravitshow

I had a blast at Neo4j's GraphSummit in London. I also got a chance to speak with Jesús Barrasa, AI Field CTO about the following topics -- - Customer Use Cases, - Challenges Enterprise Leaders Face - New Book about Graphs and more#Neo4j #GraphSummit #Infinigraph #GenAI #AgenticAI #GraphIntelligence #TheRavitShow

AI at massive scale needs a graph engine that does not blink at 100 TB. Enter Infinigraph.I had a blast at GraphSummit, London, I spoke to Ivan Zoratti, VP Product Management, Neo4j to dig into the Infinigraph announcements and what they unlock for real workloads.What we covered* What Infinigraph is and who needs it now* Property sharding in plain terms. How data spreads across nodes without losing graph semantics* One engine for ops and analytics. How HTAP stays fast without starving either side* Migration path for current Neo4j users. What carries over and what to plan for* Where it shines at 100 TB and up. Boundaries, guardrails, and real results on speed and cost* Timelines to ship and what this means for agentic AI nextWhy it mattersBigger graphs with lower latency change what agents can do. If you want real-time reasoning on live data, the storage and compute model must scale without falling apart.Watch if you care about scale, cost, and a clean path from today's Neo4j to what is coming next.#Neo4j #GraphSummit #Infinigraph #GenAI #AgenticAI #GraphIntelligence #TheRavitShow

When someone builds the foundation of modern streaming, every insight counts.At Data Streaming Summit 2025, I spoke with Sijie Guo, Co-founder and CEO of StreamNative, about how real-time data is reshaping the way companies move and act on information. Sijie shared how StreamNative continues to evolve Apache Pulsar's mission — giving teams the ability to process, store, and serve data in motion with performance and simplicity.We talked about what's next for the streaming world. Over the next year, Sijie expects deeper convergence between streaming and AI, where real-time pipelines become intelligent enough to drive automated decision-making across industries.He also emphasized how this summit stood out for its openness — not just a product showcase, but a true ecosystem of technologies working together. His favorite track? The Streaming Lakehouse discussions, where unifying data and streaming meets real-world scalability.The conversation captures where the future of streaming is heading — and how StreamNative is helping enterprises get there faster.#data #ai #datastreaming #streamnative #theravitshow

Real-time data isn't just fast—it's collaborative. At Data Streaming Summit 2025, I spoke with Rayees Pasha, CPO, RisingWave, a key partner of StreamNative, about how streaming ecosystems are evolving together instead of in silos. Rayess shared how RisingWave's real-time database helps teams run complex analytics directly on live data, and how their partnership with StreamNative brings true interoperability to customers.We discussed the future of streaming over the next year, where streaming meets AI, and intelligent pipelines start driving automated, data-driven actions. He also appreciated the summit's open and multi-technology approach, which encourages collaboration rather than competition.His favorite moments came from the AI + Stream Processing track, where discussions focused on turning streaming data into real-time intelligence.This conversation captures how openness and partnership are powering the next wave of streaming innovation.#data #ai #streamnative #datastreamingsummit #theravitshow

Real time without the noise.At Data Streaming Summit 2025, I spoke to Matteo Merli, Co-founder and CTO at StreamNative. We talked about why streaming matters now and what his team is building to make data in motion simple, scalable, and open. Matteo expects the next 12 months to be about streaming meeting AI in practical ways. Think instant enrichment, faster feedback loops, and agents that act safely on live context.He liked the summit's open, multi-technology format. It mirrors how real systems get built. His favorite threads connected Architectural Innovations with AI plus Stream Processing and the Streaming Lakehouse story.Catch the conversation to hear Matteo's take on where streaming is headed and why openness across the ecosystem will decide who moves fastest.#data #ai #streaming #datastreamingsummit #theravitshow

From the floor of Data Streaming Summit 2025, I had the chance to sit down with Ashwin Raja from Motorq, a StreamNative customer, to talk about the real-world impact of streaming.Ashwin shared how his team turns live vehicle signals into immediate decisions, where waiting even a few minutes is not an option. Batch systems couldn't keep up, so Motorq leaned into StreamNative to build reliable pipelines, manage costs, and move from event to action with confidence.We spoke about what excites him most over the next year: the intersection of streaming and AI, smarter enrichment, anomaly detection, and agents acting safely on live data. The Streaming Lakehouse vision also stood out, making analytics-ready data available without extra hops.Ashwin appreciated the open, multi-technology approach of this summit, which mirrors how real systems get built. His takeaways and reflections are in the episode now, watch the full conversation to hear how Motorq is shaping the future of connected-vehicle data with streaming.#data #ai #datastreamingsummit2025 #streamnative #theravitshow

AI that can actually help you build. I had a blast interviewing Vojta Tuma, Field CTO at Keboola, on The Ravit Show, we discussed AI assistants and MCP for data engineering!Here are a few key takeaways — • MCP turns a chatbot into a teammate. It can use tools, call APIs, and take actions. That is why it matters for engineers. • New workflows open up. You can sketch a pipeline in conversation, run a job, debug a failure, or trigger a transform from one place. • Safety is built in. Step by step permissions. Full logs. Reviews and approvals before changes go live. Propose a fix, dry run it, then merge. • The result is faster work without losing control. Less glue code. More time on the real problems.Let developers, analysts, and data engineers ship faster—AI handles the heavy lifting, Keboola keeps it reliable -- https://bit.ly/46Fkvt1Don't forget to follow Keboola!!!!#data #ai #keboola #mcp #theravitshow

Last week at BDL, we caught up with my friend Pavel Dolezalžal, co-founder at Keboola - and let me tell you, this conversation was a ride.We started with Keboola Agents, which are already live and helping data teams debug pipelines, document, and automate safely inside a governed platform.Then Pavel dropped the big news: An open-source, conversational ETL pipeline generator - Osiris.You literally describe the problem, and Osiris drafts a transparent, deterministic YAML pipeline.You review, approve, commit - and it just runs. No black boxes, no daily AI gambling.That would be a big shift: AI proposes. Humans approve. Execution stays auditable.Too bold? Have a look for yourself!Links & Resources- Learn more about Keboola Agents: http://bit.ly/4pL6a7h- Explore Osiris on GitHub: https://github.com/keboola/osiris - Connect with Pavel on LinkedIn: https://www.linkedin.com/in/paveld/#data #ai #agents #keboola #theravitshow #dataengineering

I'm at Big Data London and just wrapped a conversation with Jordan Burger, Applied AI Lead at Keboola. He's focused on building AI that data teams can trust in production, and he's one of the builders behind Keboola Data Agents.Here's what we got into:* Why a full data platform matters when AI needs real context, not just a few tables* The lifecycle context agents need that standalone tools never see* What breaks when AI only sees fragments of the data story* How platform-native AI handles messy data, lineage, policies, and tribal knowledge* Why context-aware implementation can matter more than the model itself* The role of historical data stores for agents and what this means for future architecturesJordan is on stage tomorrow to showcase this work. Both agents are live on the Keboola platform. Link in the description to spin up your first flow with your own data.If you're at Big Data London, meet the Keboola team at Booth L40.#data #ai #bigdataldn2025 #keboola #theravitshow

Speed to insight wins. If analytics does not move faster than the business, it gets ignored.I caught up with the amazing Deborah from Alteryx at Big Data London to talk about what is working right now.We spoke about — • The floor is hands on this year. Fewer slides, more real builds • Alteryx One fits that mood. One place to prep, analyze, automate, and share so teams move faster • Customers are turning hours into minutes on routine work. More people can self serve without waiting in line • The edge is in clean handoffs. Less copy and paste, clearer ownership, smoother reviews • Next up is scale with control. Bring governance into the same flow so speed does not slipWe will keep the conversation going! Don't forget to follow Deborah for the great work she does in the Data & AI space!!!!#data #ai #alteryx #theravitshow

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

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

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

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

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

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

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

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

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

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

I'm excited to share my latest conversation from Informatica's headquarters in Redwood City with Sumeet Agrawal, VP, Informatica on The Ravit Show. We went deep into the world of AI agents and what it takes to bring them into the enterprise. It was about how Informatica is making it real.Here's a glimpse into what we covered:- Breaking down consumer, coding, and enterprise agents and why trusted data is the biggest challenge for adoption- How Informatica's AI Agent Engineering makes it possible to build enterprise-grade agents in minutes- The role of the Model Context Protocol (MCP) in unlocking new levels of integration, governance, and scalability- Busting myths like “agents will replace developers” or “you need massive LLMs for useful agents”- Addressing doubts on trust, safety, scalability, and even whether IDMC capabilities can be reused outside IDMC- A rapid-fire round tackling both technical and business questions — from fixing hallucinations to the future-proofing power of context protocolsWhat stood out was the balance between innovation and trust. Informatica isn't just building fast-moving technology, they're making sure it's safe, governed, and ready for real-world scale!!!!Thank you to Sumeet and the Informatica team for the warm welcome and for opening up this conversation.The full interview is now live on The Ravit Show YouTube channel. Check out the link in the comments!#data #ai #informatica #mcp #theravitshow

BREAKING: Airbyte 2.0 is live now.I sat down with Michel Tricot to unpack Airbyte 2.0. It is a shift from “lots of connectors” to a real platform that gives you control, activation, and speed.What's new-- Enterprise Flex. Airbyte manages the control layer. Your data moves in your environment. That helps with sovereignty and compliance. External secrets, audit logs, PrivateLink, column-level hashing, and multi-workspace support are built in.-- Data Activation. Push trusted warehouse data into Salesforce, HubSpot, or Customer.io so marketing, sales, and support get fresher context. Monitor retries and errors, map identities, and close the loop by sending outcomes back to the warehouse.-- Faster pipelines. Protobuf transport, smarter partitioning, and moving more orchestration into connectors deliver big gains. Teams can see 4–10x speed-ups depending on source and destination.Who should care-- Regulated and global teams with residency needs-- Orgs that want to turn analytics into action inside business apps-- Platform teams that want speed without losing controlHow to start-- Pick one high-value flow to activate-- Set up Enterprise Flex-- Connect your warehouse and one destination-- Track freshness, error rates, and business impactIn this conversation, Michel and I go deeper on what changed from 1.0 to 2.0, how hybrid control works in practice, why activation sits inside Airbyte, and what is next on the roadmap.#data #ai #airbyte #airbyte2.0 #elt #ingestion #enterprise #theravitshow

At CommunityLIVE, I caught up with Tim McIntire, CTO at Hyland, for a quick conversation on The Ravit Show. Tim shared what excites him most about this year's event and gave a preview of the key takeaways attendees can expect over the next three days. From the energy on the ground to the sessions lined up, it's clear there's a lot of momentum here.We also touched on what's next for Hyland. Hearing directly from the leadership about where the company is heading makes it clear how they are shaping the future of content services and enterprise solutions.These quick conversations are a great reminder of why CommunityLIVE is such a special gathering, it's about learning, exchanging ideas, and seeing the vision behind the technology.#data #ai #communitylive25 #hyland #theravitshow

Excited to cover CommunityLIVE by Hyland. I had a chance to speak with Steve Baird, CRO and Head of Sales at Hyland, during CommunityLIVE.We spoke about how global Hyland has become, with its presence now spanning across countries, and what makes CommunityLIVE so special for him.These quick conversations always give a glimpse into the culture and the people driving the company forward.Stay tuned for more insights from CommunityLIVE.#data #ai #communitylive25 #hyland #theravitshow

From CommunityLIVE by Hyland: AI that helps clinicians and patients, todayI sat down with Dr. Shankar Sridharan, baby heart doctor, Chief Clinical Information Officer at Great Ormond Street Hospital, and National Clinical Lead for AI at NHS England. We spoke about taking AI out of pilots and into frontline care.Scale and design- The NHS has run the largest generative AI program with ambient voice across nine care settings so far.- 17,000 patients included with a staged, scientific approach.- Phase zero in the innovation lab, then professional actors and doctors in a safe test EHR, then real clinicians with real patients, then scale.Measured outcomes- 25% increase in direct care time.- In Accident and Emergency, documentation time reduced by 51%.- Independent analysis by York Health Economics Consortium shows each A&E doctor can see at least one extra patient per shift.- At NHS scale, that is 9,279 additional patients per day, a capacity benefit north of 650 million with a further documentation benefit of 160 million.Why now- Algorithmic AI needed high digital maturity and often lived in imaging.- Generative AI can work with unstructured data and needs operationalisation more than heavy new infrastructure.How to operationalise- People, process, technology in that order.- Train clinicians. Integrate into workflow. Measure time to decision, accuracy, and rework, not just model scores.Governance and assurance- Build at the speed of trust.Clear governance for data, cyber, and clinical safety, and assurance so the public can see how risk is managed.- Move beyond pilotitisTiny pilots with no owner and no scale plan slow us down.Create a national plan with strategic delivery, then expand by use case.- What good looks like in practiceAmbient voice reduces documentation load so clinicians focus on patients.Better throughput and clinicians who feel less drained at the end of a shift.The next step- Use AI as the tenth voice in multidisciplinary teams.- Not to replace clinicians, but to widen perspective, surface risks, and nudge better decisions.As Shankar put it, the clinician is the superhero. AI is the cape.This is how AI earns trust in healthcare. Results first. Safety always. Scale with discipline.#data #ai #CommunityLIVE25 #hyland #theravitshow

Analyst perspectives often reveal what's beneath the surface of big announcements.At CommunityLIVE, I caught up with Ralph Gammon from Infosource to hear his thoughts on the keynote and his key takeaways. He shared how he sees the space evolving, how Hyland is adapting to those shifts, and what the next 6–8 months could look like for the company.Hearing an outside-in perspective like this is a great way to connect the vision shared on stage with the real trends shaping the market.#data #ai #CommunityLIVE25 #hyland #theravitshow

The financial lens often brings a grounded perspective to big announcements.At CommunityLIVE, I spoke with Prasenjit Dasgupta, CFO at Hyland, about his key takeaways from the keynote and how they connect back to customer stories and Hyland's broader strategy.He also shared how Hyland is planning for the next 6–8 months — a period focused on strengthening customer impact, executing on strategy, and aligning investments to where the market is heading.Hearing this view from the CFO's seat provided a clear picture of how Hyland is balancing innovation with disciplined growth to deliver real value for its customers.#data #ai #CommunityLIVE25 #hyland #theravitshow

At CommunityLIVE, I had a chance to speak with Michael Campbell, Chief Product Officer at Hyland on The Ravit Show. We discussed two exciting announcements: the Content Innovation Cloud and the Enterprise Context Engine. Mike shared how the Content Innovation Cloud is designed to help enterprise leaders unlock more value from their information, and how the Enterprise Context Engine brings intelligence and context into the heart of business processes.Hearing directly from Mike gave great perspective on how Hyland is innovating to meet the needs of modern enterprises and shaping the future of content services!!!!#data #ai #communitylive25 #hyland #theravitshow

The conversation around AI often focuses on speed and scale — but context, governance, and open collaboration matter just as much. At CommunityLIVE, I had the opportunity to sit down with John Newton, Innovation Strategist, for his talk on the State of Open Source AI and Content.We explored the key themes shaping this space:- Why this moment for AI + content is such a big inflection point- How intelligent agents could redefine the way we interact with and manage content- The role open source will play in enterprise AI and why communities are central to driving innovation- What architects and developers should take away from this shift and how they can prepare for an agent-driven future- The balance between AI innovation, governance, and compliance, and how leaders can navigate that tensionJohn also shared why he believes Hyland is on the right path with AI, aligning innovation with customer needs and enterprise realities.It was a thoughtful discussion that reinforced a simple truth: the future of content platforms will be shaped not just by technology, but by the open source communities and developers who bring it to life!!!!#data #ai #CommunityLIVE25 #hyland #theravitshow

One theme that kept coming up at CommunityLIVE was CONTEXT, especially when we talk about AI!!!!I spoke to Chris Winczewski, EVP & Head of Strategy at Hyland on The Ravit Show, to dive into this topic. He shared why context is so critical for AI to deliver real impact, and also spoke about the common challenges users face when it comes to managing their content.Hearing his perspective was a reminder that while AI opens new possibilities, the real breakthroughs happen when it's grounded in the realities of how people work with information every day.#data #ai #CommunityLIVE25 #hyland #theravitshow

Every keynote leaves the audience with big ideas, but the real question is, what do those takeaways mean for customers?At CommunityLIVE, I sat down with Becca Toth, CMO at Hyland, to dive into this. She shared her perspective on the keynote highlights, what they mean for customers in practical terms, and why CommunityLIVE is such a powerful gathering for this community.It's always valuable to hear directly from leadership on how these moments connect back to the people and organizations they serve.#data #ai #CommunityLIVE25 #hyland #theravitshow

Keynotes always set the tone for a conference, but the real insights come when you unpack what they mean for the future!!!!At CommunityLIVE, I spoke with Alan Pelz-Sharpe, Founder, Deep Analysis to get his perspective on the keynote takeaways. We explored what enterprises truly expect from AI today, not just innovation, but real outcomes that improve how they work.We also looked ahead at the future of agentic AI and how it could reshape enterprise operations. Alan's perspective made it clear that while the technology is advancing quickly, the focus will remain on trust, usability, and value for customers.Conversations like these help bridge the big stage announcements with the practical realities enterprises face every day.#data #ai #CommunityLIVE25 #hyland #theravitshow

Speed to insight wins. If analytics cannot move decisions, it gets ignored.Fresh off Big Data London, I sat down with Clarence Rozario, Zoho on The Ravit Show to talk about how leaders are pushing BI to deliver real outcomes. The energy was high and the message was clear. Make analytics the shortest path from question to action.Why I rate Clarence as a leader: he blends field reality with product thinking. He listens to customers, trims what is not working, and ships the bits that help teams decide faster. No hype. Clear priorities. Tight feedback loops.What we discussed:* How enterprises are standardizing definitions so everyone answers the same question the same way* Cutting the cycle time from a metric to the next step with guided drill downs and clear ownership* Putting AI inside BI to explain changes in plain language and suggest actions people can trust* Short term moves that matter right now, like ready to use templates, guardrails, and monitorsWe kept it practical. Less demo polish. More ways to ship value this quarter.#data #ai #zoho #analytics #theravitshow

I had the chance to speak with Sam Newnam, Senior Director of AI Solutions at Hammerspace on The Ravit Show, about the challenges and opportunities enterprises face as they scale AI infrastructure.We began with the name itself, Hammerspace. A concept borrowed from comic books, now representing a very real approach to how data can be accessed, unified, and delivered without limits.From there, we explored the pressures shaping enterprise AI today. The rise of AI agents and enterprise-scale deployments is creating new challenges around data gravity and data friction. Sam shared why this is no longer just about storage, but about what he calls “GPU gravity”, moving data efficiently to where the models and GPUs actually are.Hammerspace's view is clear: enterprises do not need to forklift data into proprietary silos or rewrite workflows just to enable AI. Instead, an open, Linux-native, standards-based approach allows data to remain where it lives, whether on-prem or across clouds, while streaming on demand to the infrastructure that needs it.We closed with a look ahead. As AI workloads continue to grow, the ability to unify data seamlessly and avoid lock-in will become a critical competitive differentiator.Conversations like this highlight a big shift: AI success is not just about the model. It is about how well enterprises prepare their data infrastructure to keep pace with it.#data #ai #hammerspace #infra #storage #agents #gpu #theravitshow

AI without web data is AI without context. At AI4, I spoke with Ariel Shulman, Chief Product Officer at Bright Data on The Ravit Show, about why public web data is becoming the backbone of modern AI!Ariel explained that without access to real-time, high-quality web data, models quickly lose relevance. Product listings, reviews, job postings, news, and social content all provide the signals enterprises need to make AI systems smarter and more usefulBut collecting that data at scale is not simple. CAPTCHAs, geo-restrictions, and IP blocks make it challenging. Bright Data's mission is to remove these barriers so organizations can focus on building applications instead of fighting access issues.We also explored why real-time matters more than ever. AI agents must interact with the live web to stay effective, and that shift opens up both opportunities and responsibilitiesLooking ahead, Ariel sees public web data as central to the future of AI, but success depends on collecting and using it ethically, transparently, and at scale.The takeaway: data is the bridge between AI and the real world, and web data is one of its most important foundations!#data #ai #ai4 #brightdata #theravitshow

At AI4, I spoke with Kevin McGrath, Co-Founder and CEO of Meibel, on The Ravit Show about the hard truths behind the numbers: nearly 80% of AI projects never make it to long-term success.Kevin explained that it often comes back to data. Customers run into incomplete or poor-quality datasets, or they cannot unify data across silos. Without fixing those fundamentals, even the most ambitious AI initiatives will falter.We also explored why AI demos that wow investors often stumble when they reach real customers. Scaling is the breaking point; infrastructure, workflows, and production realities expose weaknesses that prototypes cannot hide.With GenAI, Kevin sees teams hitting roadblocks around context, reliability, and safety. Building proofs of concept is straightforward, but building systems that are trustworthy and scalable is the real challenge.The takeaway: AI success depends less on the demo and more on how well you prepare data and infrastructure for real-world scale.#data # ai #agents #meibel #theravitshow