Research notes and analysis from the Futurum practice areas.
24 results · page 1 of 2
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.
Everforth ECS secured a prime position on the CPSC's $58M Data Solutions BPA and captured the first $1.7M task order, positioning the Fairfax-based firm as a key player in federal civilian data modernization, cloud engineering, and AI/ML enablement.
Fernando Montenegro, VP at The Futurum Group, shares insights on Splunk AI, the Cisco–NVIDIA partnership, and enterprise requirements for hybrid deployment.
Keith Kirkpatrick, Research Director at The Futurum Group, examines Salesforce’s Google Cloud expansion and the tests ahead for enterprise workflows and commerce.
Keith Kirkpatrick, Research Director at The Futurum Group shares insights on AWS and Salesforce’s expanded integrations and the tests that matter for enterprise adoption.
phData earns its fourth consecutive dbt Visionary Partner of the Year award, demonstrating practice-wide commitment to analytics engineering and data governance as the foundation for enterprise AI readiness and scalable transformation.
FIS capitalizes on three forces reshaping banking: de novo charter resurgence, accelerating M&A consolidation, and large-bank modernization, securing core banking for a $100B+ institution and five new charters in 1H 2026.
Alteryx and Golden Analytics partner to combine governed data workflows with AI-native analytics, targeting enterprise demand for generative AI tools in the booming Data Intelligence market.
Tiffani Bova, Chief Strategy and Research Officer at The Futurum Group, examines CDW’s Lovelytics acquisition, its data and AI capabilities, and the work ahead on integration.
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.
Hitachi pairs sustainable insulating gas production in Germany with HMAX Physical AI expansion, positioning itself to capitalize on enterprise AI investment tied to reliable power infrastructure.
Alastair Cooke, analyst at Futurum, shares his insights on why Nasuni acquires DryvIQ and what the deal means for AI data governance and file platform consolidation.
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.
ScyllaDB released an open-source Rust driver for its DynamoDB-compatible Alternator API, achieving 58% higher throughput than AWS SDK on 3-node clusters. The driver maintains full API compatibility while enabling cluster-aware load balancing.
AI algorithms identified ultraconserved cancer cell states across patients and predicted synergistic drug combinations with ~90% accuracy, challenging assumptions about tumor heterogeneity.
Sprig replaced Postgres, ClickHouse, and Redis with ScyllaDB, achieving 4-8x better latency while processing 1.3 trillion events. The consolidation illustrates how enterprises are simplifying complex database stacks to manage explosive data growth.
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.
Strategy’s coordinated $282M capital action—combining a $150M reserve increase with a $132M STRC repurchase—demonstrates deliberate balance sheet management aligned with surging enterprise generative AI investment priorities.
Jacobs Solutions won a $750 million contract to lead Utah’s Strawberry High Line Canal program, showcasing its expertise in complex water infrastructure projects enhanced by AI and digital engineering.
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.