Research notes and analysis from the Futurum practice areas.
12 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, VP and Practice Lead at Futurum, analyzes how Cloudera’s partnership with Mistral AI brings sovereign AI and local model fine-tuning to hybrid and air-gapped enterprise data estates.
Brad Shimmin, Vice President and Practice Lead at The Futurum Group, analyzes Broadcom’s VMware Tanzu Platform updates at VMware Explore 2026, covering deny-by-default agent runtimes, AI-ready data foundations, and TrueSource OSS security.
Brad Shimmin, VP & Practice Lead at Futurum, reveals findings from the new Data Intelligence Platforms Signal report, highlighting how read-write AI agents and transactional execution realigned competitive market standings.
AWS acquires DuckLabs to embed DuckDB’s in-process OLAP engine natively into Amazon S3 storage, challenging data warehouse economics while keeping open-source governance independent.
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.
Brad Shimmin, Vice President and Practice Lead at Futurum, shares his insights on how AWS Context moves beyond basic RAG to deliver a governed, open-format knowledge graph that provides autonomous systems with the mathematical truth they desperately need.
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.
Brad Shimmin and Brendan Burke, analysts at Futurum, review Backblaze’s Q2 FY 2026 earnings, focusing on B2 Cloud Storage growth, AI infrastructure demand, and the CoreWeave agreement.