CHATSWORTH, CA – April 30, 2025 – AI and data management company DDN has partnered with AI cloud provider Nebius for enterprise AI workloads. By integrating DDN Infinia and EXAScaler into its AI cloud, Nebius offers enterprises a solution tailored to the demands of next-generation AI, the companies said. Nebius said that as an AI […]
AI Data Platform Hammerspace Raises $100M
April 16, 2025 by
AI data platform company Hammerspace announced that several venture investors have invested $100 million in growth capital in the company. Altimeter Capital, which inveted in Meta, MongoDB, NVIDIA, Snowflake and Uber, led the Series B round.
Fiveonefour Unveils Aurora AI Agents for Data Engineering
April 3, 2025 by
PORTLAND, OR – April 3, 2024 – Fiveonefour, a data engineering solutions company, today announced the launch of Aurora, a suite of AI agents that automate engineering workflows, enabling teams to productize and operationalize proprietary data. Fiveonefour’s initial deployment of Aurora was with their customer, F45 Training, the boutique fitness franchise, to enhance the user […]
Starfish Storage Named ‘Data Solution of the Year for Education’
April 3, 2025 by
WALTHAM, Mass., April 3, 2025 – Metadata-driven unstructured data management Starfish Storage today announced it has won the “Data Solution of the Year for Education” award in the 6th annual Data Breakthrough Awards program conducted by Data Breakthrough, a market intelligence organization that recognizes companies, technologies and products in the data technology market today. Starfish provides unstructured […]
Survey Finds 25% of Data Managers Greenlight Any Projects Powered by AI
February 20, 2025 by
For enterprise data teams, GenAI expectations are sky-high, and a new survey finds that management often leads the charge. A quarter of executives (25 percent) say their leaders will greenlight any project “with AI as a core component,” while the largest group (44 percent) are a bit more ….
Why the Modern Data Stack is Broken and How to Fix It
April 15, 2024 by
In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.
The Future of Computing: Harnessing Molecules for Sustainable Data Management
February 23, 2024 by
In this contributed article, Erfane Arwani, founder and CEO of Biomemory, discusses how molecular computing (using molecules rather than traditional silicon chips for computational tasks) could be a critical component in revolutionizing data storage, despite the exponential growth of AI.
From complexity to clarity: Harnessing the power of AI/ML and risk-informed strategies to streamline clinical data management
November 1, 2023 by Leave a Comment
In today’s fast-paced world, driven by demands for speed and efficiency, the field of clinical development has undergone a remarkable transformation. The way trials are being conducted has changed significantly with decentralized clinical trials (DCT) becoming mainstream and the collection of clinical data from wearables and other remote-monitoring devices becoming common practice. While these advances […]
New Study Reveals Data Management Is a Top Challenge in the AI Revolution
August 19, 2023 by
According to a new global study conducted by S&P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023.
Acceldata and its Data Observability Platform – Solving Big Data Management Challenges
March 28, 2023 by
In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.
