Kestra, the open-source orchestration platform unifying data, AI, infrastructure and business workflows, announced $25 million in a Series A funding round, enabling the company to continue to grow its ...
HCLTech, a leading global technology company, and CrowdStrike are expanding their partnership with the launch of Continuous Threat Exposure Management (CTEM) services.
Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...
Aerospike Inc. is introducing LangGraph integration for NoSQL Database 8, delivering persistent memory to stateless AI agentic workflows struggling to move from prototype to production scale.
Oracle is introducing Fusion Agentic Applications, a new class of enterprise applications powered by coordinated teams of specialized AI agents that are outcome-driven, proactive and reasoning based, ...
Oracle is introducing the Oracle AI Data Platform for U.S. federal agencies-purpose-built to securely connect industry-leading generative AI models with agency data, applications, and workflows.
In 2026, procurement and supply chain leaders navigate a confounding environment. Global systems are more connected than ever, yet they are increasingly fragmented by politics, technology, and climate ...
QuSecure, Inc., a market leader in post-quantum cybersecurity and cryptographic agility, announced it is collaborating with the National Cybersecurity Center of Excellence (NCCoE) in the Migration to ...
Profisee, a leader in cloud-native master data management (MDM), is introducing the general availability of Profisee 2026 R1-establishing comprehensive AI leadership across the MDM category with ...
CData Software, the data layer for AI, is enhancing CData Sync to meet the data pipeline demands of modern enterprises-delivering coordinated pipeline orchestration, expanded change data capture (CDC) ...
Relyance AI, an AI-native data security platform, is releasing Lyo, an autonomous data defense engineer designed to monitor and secure how AI agents interact with enterprise data.
AI initiatives rarely fail because of model quality. They fail because the underlying data systems were never designed for reliability, context retrieval, or operational consistency.