Data Pipeline stories
Mental health charity Mind brings data integration in-house with SnapLogic, building AI-ready pipelines and cutting risk and delivery times.
NetApp launches EF50 and EF80 flash arrays, touting 110GBps reads to keep GPUs busy on AI, HPC and database workloads.
Everpure extends Evergreen//One to FlashBlade//EXA and unveils Data Stream beta, targeting smoother, scalable enterprise AI deployments.
DataBahn deepens Microsoft Sentinel integration, promising faster SIEM roll-outs, AI-driven telemetry routing and up to 60% cost savings.
Reliable, contract-based data pipelines are the real foundation of trustworthy AI, turning fragile experiments into robust, scalable systems.
Ataccama adds AI-driven data observability to its ONE platform, unifying pipeline monitoring, alerting and governance for regulated users.
Treasure Data launches Treasure Code, an AI-native command line that lets teams manage complex CDP operations and workflows in plain English.
NETSCOUT expands Omnis AI tools so telcos can turn noisy 5G network data into AI-ready streams for customer experience and operations.
BMC signs five-year AWS deal to host Control-M SaaS, deepening cloud and AI orchestration for hybrid data and workflow automation.
Matia raises $21m to expand its AI-native data stack, betting on an all-in-one platform as data engineering consolidates.
SentinelOne has launched an end-to-end AI security lifecycle platform, adding DSPM, CSPM and runtime protections for enterprise AI deployments.
BigHammer.ai debuts AI agents to replace complex data stacks, promising up to 70% cost cuts and faster delivery for analytics teams.
Etleap launches a unified Iceberg data pipeline platform, promising simpler, scalable management of Apache Iceberg table operations.
Integrated Quantum debuts AIQu VEIL, a quantum-resilient data layer letting enterprises run global AI on anonymised vectors, not raw data.
Check Point sets out a runtime security blueprint for AI factories as enterprises scale GPU-heavy data centres and face mounting GenAI attacks.
AI will upend SOCs by 2026, driving faster response but also AI-led outages, stealthier insiders, power strains and tougher oversight.
Bad data is undermining AI success, causing costly productivity losses, eroding trust, and risking regulatory penalties in organisations worldwide.
Experts predict that cyber resilience, AI infrastructure, and energy constraints will redefine IT strategies across the UK and Australia in 2026.
Most organisations grapple with fragmented security tools and slow data onboarding in SOCs, hindering threat detection and response amid rising cyber risks.
Blue Cloud clinches ₹110.08 crores AI data annotation contract from US-based Stratos Forge after high-accuracy pilot success.