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The Ravit Show, 632 episodes. Page 3 of 7.

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201

Keynote takeaways, ResOps, and more

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202

Commvault Unity Release: Synthetic Recovery, Identity Resilience and much more

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203

People, Processes and Tools

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204

How Data Engineering has changed since the early days of Brooklyn Data

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205

Streaming: where and when does it make sense vs batch integration; CDC best practices

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206

AI, BI, Semantic Layer and much more

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207

What a "Data Culture" means, Data Modeling best practices

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208

Building AI Ready Infrastructure Across APJC With Cisco

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Jeetu Patel: Cisco’s AI Vision for India and APJC

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210

Gartner Magic Quadrant Data Integration Visionary: K2view

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Why NVIDIA’s AI Data Platform Is the Blueprint — and Hammerspace Is the Engine

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212

What NVIDIA’s AI Data Platform Means for Enterprise AI and How Hammerspace Makes It a Reality

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HPE Agentic Smart City Solution

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214

HPE’s Path to Sovereign AI: Securing Data, Enabling Innovation

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Inside the AI Factory: How DDN is Powering the Next Wave of Enterprise AI

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216

Inside AI Magic Wand: Building Web Data Agents With One Click

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217

Inside IBM’s Vision for India: AI, Hybrid Cloud, and Building a Future-Ready Workforce

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218

Inside Flink Agents: Open Source Agents for the Enterprise

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219

From Kafka to Flink: What Aiven and Ververica Can Do Together

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220

Building With Fluss: Real Use Cases and Patterns

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221

PlayStation at Scale with Flink: Telemetry, Latency, and Reliability

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222

Convergence Is Here: On Prem Meets Cloud for AI with Cloudera

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223

Cloudera x AWS European Sovereign Cloud

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224

Enterprise AI, Trends in Data & AI and Future Roadmap

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225

What's Possible in Data & AI?

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226

From Governance to ROI: Putting Guardrails to Work with SAS Viya

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227

How SAS Is Making Agentic AI Real for Enterprises

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State of Observability 2025 with Splunk

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229

NetApp INSIGHT: Jeff Baxter on the AI Data Engine

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230

Building a Cyber Resiliency and Ransomware Recovery Plan

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231

Humans + Agents on the Mainframe: From Dashboards to Decisions with BMC

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232

Agents on the mainframe: a real end-to-end workflow walkthrough with BMC

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233

Cloudera Delivers AI-Powered Unified Data Visualization in On-Premises Data Centers

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234

$100m Investment in GenAI, Product Roadmap, Graph Intelligence

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235

Aura Agent, MCP Server for Neo4j and more

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236

Customer Use Cases, Challenges Enterprise Leaders Face and more

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237

Inside Infinigraph: how Neo4j scales a single graph

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238

Keynote Announcements, Data Streaming Openness with Multi-Technology and more

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239

Partnership between StreamNative and RisingWave

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240

Key Takeaways from Data Streaming Summit

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241

Why Motorq used StreamNative?

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242

Usage of AI Assistants and MCP for Data Engineering

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243

Agents are now, what is going to be next?

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244

Building AI tools that can work in production

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245

Alteryx One and Big Data London

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246

Business-Oriented Pain Points and Enterprise Value

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247

Automated Orchestration for Faster Innovation and Lower Costs

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248

CISO Playbook for AI Security in 2025

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249

Scaling Trustworthy AI for the Enterprise with Vianai Systems

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250

AI Infra with Hammerspace and Hitachi

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251

How Ticketmaster Runs Stable on Splunk

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252

BOTS Lessons for Real-World SecOps

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253

Inside Splunk’s Data Viz Zone at .conf

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254

Data Readiness: Why 52% of AI Fails

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255

Partners Power Data Modernization

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256

Enterprise Agents, MCP, Data & AI Governance

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257

Airbyte 2.0 Launch

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258

Why is CommunityLIVE unique?

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259

Hyland’s Global Coverage

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260

One system, real outcomes: the NHS GenAI story

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261

How is Hyland changing the AI space?

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262

Key Takeaways, Customer Stories and CommunityLIVE

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263

Content Innovation Cloud and Enterprise Context Engine

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264

Open Source, AI Agents and much more

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265

Context is King?

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266

Key Announcements and Why CommunityLIVE?

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267

Kestra 1.0 Launch

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268

What do Enterprises expect from AI?

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269

BI meets AI. Real use cases that work

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270

Building the Future of AI: Hammerspace's Approach to Data, GPUs, and Enterprise Growth

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271

Why Public Web Data Matters for AI

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272

Why do so many AI projects fail?

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273

Real-Time Data and AI: How Tealium is Shaping the Future

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274

Choosing the Right Data Partner in an Unstable AI Market

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275

Digital Transformation in the Age of AI and Automation

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276

AI infrastructure for Scaling Agents Across the Enterprise

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277

Agent Bricks, MLflow 3.0 and Use Cases

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278

Modernize Data Management and Access

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279

Why Lakebase and the Neon acquisition are game-changers

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280

Data Privacy, AI Security and much more

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281

Turning Customer Data into AI Gold: Tealium + Databricks

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282

The Real-World State of Enterprise AI: Lessons from the Front Lines

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283

Why Clean Data Is the Backbone of Modern CDPs

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284

Why Identity Is the Missing Link in AI-Powered Customer Experiences

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285

The Posit Pivot: Python, Partnerships, and the Future of AI in Analytics

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286

Prophecy + Databricks = Power

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287

Modernize Data Management and Access

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288

Bridging the Data Gap: How CData Unlocks the Full Value of Databricks

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Build Data Access and MCP Connectivity for Agentic AI with CData

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290

Contextual Solutions, NucliOS, MathCo x Databricks

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291

Rethinking Data Access Workflows for Scale

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292

Why One-Off AI Policies Don’t Work | Scalable Data Governance and more

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293

Breaking the Government Data Bottleneck: How AI is Forcing Public Sector Modernization

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294

What does it look like when AI and data actually drive results in banking — not just pilots, but real innovation at scale?

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295

Data Governance, Data Quality in the AI World

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296

AI has an ROI problem

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297

Transforming the Real Estate Industry with Data and Predictive AI

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298

Alitmetrik and Snowflake Partnership

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299

What Makes Altimetrik’s AI Approach Stand Out

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300

Qlik + Snowflake: Powering the Future of Open, AI-Ready Data Integration

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