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MetaGraph Aims To Be The “Google For DNA,” Giving Scientists Control Of Big Data

Over the past twenty years, scientists have sequenced almost everything they can access—bacterial genomes from soil, viral samples from hospitals, gut microbiomes from people around the world, even the RNA inside singl Read more…

Starburst’s New Platform Aims to Close AI’s Biggest Gap — the Data Layer

As companies scramble to deploy AI in production, a new dynamic has emerged: data infrastructure is now the bottleneck. Models are only as good as the information they can access, and most organizations still cannot clos Read more…

AI Is Everywhere. Scaling It in Finance Requires Deeper Responsibility

AI has swept through nearly every sector, and now finance is in the midst of its AI moment, with promises to revolutionize critical processes like credit decisioning and risk assessment. One of the biggest differences is Read more…

Goldman Sachs Chief Data Officer Warns AI Has Already Run Out of Data

AI progress is often measured by scale. Bigger models, more data, more computing muscle. Every jump forward seemed to prove the same point: if you could throw more at it, the results would follow. For years, that equatio Read more…

Ai2’s DataVoyager Lets Scientists Talk to Their Data

Across research labs, structured data keeps piling up—spreadsheets filled with results, logs from instruments, tables that grow with every project. Much of it never gets fully explored because the analysis takes time a Read more…

Building Intelligence into the Database Layer

Time series data is everywhere, streaming from industrial sensors, embedded devices, and software systems at a scale and speed that traditional data architectures were never designed to handle. In critical moments, the v Read more…

Why MinIO Added Support for Iceberg Tables

MinIO launched the AIStore nearly a year ago to provide enterprises with an ultra-scalable object store for AI use cases. Today, it expanded AIStor into the world of big data analytics by adding support for Apache Iceber Read more…

Bloomberg Finds AI Data Centers Fueling America’s Energy Bill Crisis

The rise of AI is putting real pressure on the U.S. power grid. As demand for compute explodes, the data centers behind AI systems are becoming some of the country’s top energy users. They are essential to digital life Read more…

Data is at the Center of Scientific Discovery Inside MIT’s New AI-Powered Platform

AI-powered tools have become more common in scientific research and development, especially for predicting outcomes or suggesting possible experiments using datasets. However, most of these systems only work with limited Read more…

New GenAI System Built to Accelerate HPC Operations Data Analytics

AI continues to play a key role in scientific research – not just in driving new discoveries but also in how we understand the tools behind those discoveries. High-performance computing has been at the heart of major s Read more…

Deloitte Highlights the Shift From Data Wranglers to Data Storytellers

Public sector science and research relies heavily on data, but the sheer volume now is on another level. Government agencies in charge of health, energy, agriculture, and space exploration find themselves drowning in inf Read more…

OpenAI Aims to Dominate the AI Grid With Five New Data Centers

The center of gravity in high performance computing continues to shift, with power emerging as the defining constraint for growth and scale. Training and deploying frontier AI models now demand physical infrastructure at Read more…

Teradata Puts Data at the Core of Agentic AI with Launch of AgentBuilder

The first wave of GenAI was prompt-based. You asked a question, the model gave you an answer, and that was the extent of it. These tools could generate responses, but they operated in isolation from the systems that stor Read more…

How Scientists Are Teaching AI to Understand Materials Data

In theory, materials science should be a perfect match for AI. The field runs on data — band gaps, crystal structures, conductivity curves — the kind of measurable, repeatable values machines love. However, in practi Read more…

Why Does Building AI Feel Like Assembling IKEA Furniture?

Like most new IT paradigms, AI is a roll-your-own adventure. While LLMs might be trained by others, early adopters are predominantly building their own applications out of component parts. In the hands of skilled develop Read more…

Inside Microsoft Fabric’s Push to Rethink How AI Sees Data

AI systems are getting better at working with data, but they still struggle to understand how things connect. They might be able to find patterns or make predictions, but they often miss the bigger picture, like how a su Read more…

In Order to Scale AI with Confidence, Enterprise CTOs Must Unlock the Value of Unstructured Data

Raise your hand if you’ve heard of unstructured data. Now raise your hand if you truly understand its value and power. If I was a betting person, I’d say that there were fewer hands raised for the second statement th Read more…

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