Fiveonefour Unveils Aurora AI Agents for Data Engineering

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’

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

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

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

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

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  

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

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.

Cloudera Continues Rapid Pace of Data Fabric and Data Lakehouse Innovation to Extend Data Management Leadership

Cloudera, the hybrid data company, announced new hybrid data capabilities that enable organizations to more efficiently move data, metadata, data workloads and data applications across clouds and on premises to optimize for performance, cost and security. Cloudera’s portable data services enable simple, low-risk data workload and data application movement for ultimate data lakehouse optionality.

Report: New Data Management Models Are Essential To Operate In The Cloud

As organizations increasingly embrace cloud-first principles and the quantity and variety of their data exponentially increases, Capital One’s new Forrester study finds the vast majority of data management decision-makers are deeply concerned about controlling and forecasting data costs, leveraging data at scale, addressing data quality and consistency, and better protecting data.