In 2025, enterprises discovered that throwing more GPUs at AI problems wasn't the bottleneck. Moving massive datasets was. Traditional retrieval-augmented generation (RAG) architectures hit a wall at enterprise scale, with companies spending more on data migration failures than on the AI models themselves. Meanwhile, a quieter revolution was taking shape: organizations that kept their data in place and brought intelligence to it instead were seeing 34% higher AI success rates and slashing infrastructure costs by nearly 97%.…
Read Moreblog
Security & Risk
The AI Revolution in Enterprise Security
Preparing for Tomorrow's Threat Landscape
AI is no longer a feature request for your security stack—it's the battlefield where your next breach will be won or lost. Right now, attackers are deploying the same class of models you're evaluating for defense, and they're moving faster.…
Read Morevideo
Discovering Disruptions in Tech with John DiLullo of DeepWatch
GigaOm CEO Howard Holton sits down with John DiLullo, CEO of DeepWatch to discuss the risks to security that exist in today's market and industry and how to address these issues.…
Watch NowKey Criteria
Data, Analytics & AI
GigaOm Key Criteria for Evaluating Data Warehouse Solutions
An Evaluation Guide for Technology Decision-Makers
Data warehouses are centralized repositories for organizations’ data with specific structural and technology enhancements optimizing them for analytics.…
Read More