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Are you struggling with data gravity, rising public cloud costs, or scaling AI workloads safely? In this Trace3 PressBox session, experts from Trace3 and NetApp discuss how a unified hybrid cloud data platform eliminates infrastructure silos, lowers risk with NIST-aligned ransomware recovery, and leverages smart cloning to accelerate data science without data bloat.

Check out these key sections:

00:00:00 - Introduction & Semiconductor Manufacturing Case Study

00:01:08 - Computer Vision & AI/ML at the Nano Level

00:01:53 - Navigating NAND Supply Chain Constraints & Pre-Buying Strategy

00:03:20 - Breaking Data Silos: File, Block, & Object on One Platform

00:04:35 - Fiber Channel Differentiators in Azure Local

00:05:45 - NIST Security Framework: Detect, Protect, & Near-Instant Recovery

00:07:15 - Initiating Risk Conversations with CISOs

00:08:45 - The NetApp AI Data Engine & Eliminating Data Bloat

00:09:40 - Secure Smart Clones & Redacting PII for Data Scientists

00:10:40 - Overcoming Data Gravity with FlexCache Multicloud Replication

00:11:45 - Cloud Repatriation: The Financial Realities of Hybrid Workloads

00:12:45 - Conclusion & Partnership Summary

Is an avalanche of telemetry data slowing down your AI initiatives? In this episode from Trace3's PressBox episode, experts from Cribl and Trace3 discuss how to gain data agility, reduce costs, and prepare for agentic AI environments. Trace3's Josh Lindstrom and Kevin Donahoe sit down with Michael Contreras from Cribl to cover everything trending in data and observability for 2026.

[00:48] Preparing Telemetry Data for AI

[02:14] Observability of the Data vs. Using the Data

[04:47] Case Study: De-risking a Global SIM Migration

[06:31] Supporting Agentic AI Environments

[08:27] The Trend of Data Ownership and Agility

[10:38] Reducing Overlapping Tool Costs & Waste

[12:48] Sneak Peek: Cribl Search 2.0 and Natural Language Queries

Is your organization ready for AI, or is hidden 'shadow data' creating massive security risks? In this Trace PressBox discussion, Trace3 Advisory CISOs Gina Yacone and Jim Hunter dive deep with Sentra's Co-Founder Yoav Regev into why data security is the heart of the AI challenge. Check out these key moments:

[00:48] Why AI is a Data Security Problem

[02:14] The 3 Pillars: Discovery, Classification, and Context

[05:17] Complementing Microsoft 365 and Copilot

[08:06] AI as a "Risk Magnifier"

[11:13] Scaling Data Security for the Enterprise

[13:17] Requesting a Proof of Value (POV)

[15:21] Identifying Shadow Data and Reducing Cloud Costs