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Data Management
Datamonk Raises $1.9M to Automate Medical Imaging Data Migration with Agentic AI
Datamonk, an agentic AI-powered platform for automating medical imaging data migrations, has raised $1.9 million in pre-seed funding to tackle one of healthcare IT’s most persistent challenges: moving and cleaning decades of imaging data. The round was led by Healthy.Capital and Nina Capital, with notable angel investors including Jeroen Tas, former Chief Innovation & Strategy Officer at Philips, and Harm-Jan Wessels, serial healthcare entrepreneur. Early support also came from Antler and Rabobank. Read More
OpenText Study Finds AI ROI Depends on Information Management Maturity
OpenText™ (NASDAQ: OTEX) (TSX: OTEX) today released new global research revealing a striking divide between enterprises that are new to AI and those with mature AI programs when it comes to return on AI investment (ROAI). The survey, conducted by Foundry, shows that while nearly 70% of mature AI adopters are satisfied with their results, only 42% of newer adopters report the same. Read More
Pure Storage Expands AI-Ready Cloud Platform with Azure Native, Portworx, and Key Value Accelerator
At Pure//Accelerate 2025, Pure Storage (NYSE: PSTG) unveiled a sweeping upgrade to its Enterprise Data Cloud platform, aiming to make AI adoption smoother for hybrid and cloud-first enterprises. The latest enhancements promise to unify data management, accelerate AI workloads, and extend cloud-native capabilities—all while keeping operations secure and efficient. Read More
Precisely Rolls Out AI Agents and Copilot to Automate Data Integrity
Enterprises have spent years trying to tame sprawling data ecosystems, only to see trust in their data erode under the weight of complexity. Precisely, a global leader in data integrity, is betting AI can change that—responsibly. The company announced plans to expand its Data Integrity Suite with a fleet of autonomous AI Agents and a context-aware Copilot, designed to help organizations keep their data accurate, consistent, and contextual across hybrid and multi-cloud environments. Read More
1.How are AI workloads exposing hidden inefficiencies in traditional data center infrastructure? The massive parallelism in the GPUs processing AI workloads is perhaps the root cause of exposing the limitations of the traditional compute-storage-networking infrastructure. GPUs, with their thousands of processor cores working in parallel, stress the infrastructure differently than traditional CPUs with a few dozen... Read More
SDI Presence Appoints Garrick Schermer to Lead AI Data Strategy & Governance
SDI Presence is strengthening its AI and data game with the appointment of Garrick Schermer as AI Data Strategy & Governance Lead. Schermer, a 25-year veteran of enterprise data architecture and analytics, will spearhead the consultancy’s efforts to guide clients through the messy but mission-critical world of data governance, cloud modernization, and AI readiness. Read More
1. What are the biggest challenges organisations face in achieving real-time data interoperability, and how can they overcome them? One major challenge in achieving interoperability is a world of constantly changing data formats and APIs. Batch-based systems introduce latency and tight coupling. Streaming platforms like Apache Kafka shift teams toward an event-driven architecture, where components exchange... Read More
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