Most organizations assume they are safe once someone is past the login screen. That assumption is costing them millions, and attackers know it. The old perimeter model, which trusted anything inside the network, created a vulnerability that modern threats exploit by design. According to the IBM Cost of a Data Breach Report 2025, the global average breach now costs $4.44 million.
A data platform decision is a multi-year commitment. The migration costs, the talent you hire around it, the integrations you build on top of it: they all follow from the initial call. Microsoft Fabric, Databricks, and Snowflake are converging fast, but they still serve fundamentally different architectural bets. Knowing which bet aligns with your business is what this comes down
GPU infrastructure has been the bottleneck for enterprise ML teams for years. Provisioning clusters takes days. Configuring distributed training environments takes weeks. Debugging data loading bottlenecks consumes engineering time that should be going into modeling. The result is that deep learning teams spend more time fighting infrastructure than building the models their organizations need. Databricks launched AI Runtime in March
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