Research notes and analysis from the Futurum practice areas.
6 results
Brad Shimmin, VP and Practice Lead at Futurum, analyzes how VAST DataEnclave leverages NVIDIA Confidential Computing to manage proprietary AI models and sensitive data as unified operating system resources.
Brad Shimmin, industry analyst at The Futurum Group, analyzes how Salesforce and NVIDIA designed the Koa CRM reasoning model to solve inference economics and defend platform data gravity.
Brad Shimmin analyzes Cloudera Anywhere Cloud, examining how modular blueprints, Apache Iceberg, and zero-copy lakehouse architectures resolve data gravity and MLOps bottlenecks across hybrid enterprise AI estates.
Futurum analyst Brad Shimmin breaks down the economic breaking point of cloud APIs and why enterprise AI is shifting to highly quantized, sovereign open-weights models.
Futurum analysts Brad Shimmin and Guy Currier discuss how Tokenomics and AI FinOps are forcing enterprises to abandon massive frontier models in favor of smaller, domain-specific AI endpoints governed by strict agent control planes. Utilizing AI – Ep.
Brad Shimmin, VP at Futurum, analyzes the launch of native vector search in AWS DynamoDB. By embedding semantic retrieval directly into its serverless operational database, AWS eliminates fragile AI data pipelines and challenges standalone vector DBs.