Ali Azhar

BigDATAwire •

Powering Data in the Age of AI: Part 2 – Nuclear, Fusion, and the Race for Compute Sovereignty

AI is often about scale, but what “scale” means is beginning to shift. For years, that meant throwing more GPUs at the problem, adding storage and shoving through bigger datasets. Which none of that does you any good if you can’t nourish something even more fundamental: electricity. In part 1 of our Powering Data in the Age of AI series, we learned how energy went from a background expense to the hard upper bound on AI progress. Part 2 picks up where the industry realizes this isn’t just a techn...
BigDATAwire •

What the Fivetran-dbt Merger Means for the Data Ecosystem

For the last decade, large data platforms have increasingly moved toward full-stack integration. Snowflake now offers everything from pipelines to governance to AI agents within its platform. Databricks has expanded through acquisitions and native services to cover ingestion, observability, and machine learning on top of its lakehouse. Microsoft Fabric bundles ingestion, modeling, storage, and reporting into a single SaaS layer built on Azure. All three are aiming to control the entire data life...
BigDATAwire •

Powering Data in the Age of AI: Part 1 – Energy as the Ultimate Bottleneck

The past few years have seen AI expand faster than any technology in modern memory. Training runs that once operated quietly inside university labs now span massive facilities packed with high-performance computers, tapping into a web of GPUs and vast volumes of data.
AI essentially runs on three ingredients: chips, data and electricity. Among them, electricity has been the most difficult to scale. We know that each new generation of models is more powerful and often claimed to be more power-eff...
AIwire •

Is AI Finally Ready to Make a Discovery Worthy of the Nobel Prize?

In laboratories across the world, AI tools have been aiding researchers in sorting through data, simulating reactions, and even generating what look like plausible hypotheses. First, they were assistants, then collaborators; now the lines are increasingly blurry. The machines are learning to ask their own questions, and in certain cases, design their own experiments to answer them.
A recent Nature article brings this tension back into focus, laying out a bold question: could an AI ever win a Nob...
HPCwire •

Inside MIT's New AI Platform for Scientific Discovery

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 types of data. They might rely on numbers from a few tests or chemical inputs, but that only scratches the surface.
Human scientists bring much more to the table. In a lab, decisions are shaped by a mix of sources. Researchers consider published papers, past results, chemical be...
BigDATAwire •

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 practice, most of this data is buried. It’s scattered across decades of research papers, locked inside figure captions, chemical formulas, and text that was written for humans, not machines. So when scientists try to build AI tools for real materials problems, they often run into problems....
AIwire •

Securing AI in the Public Sector: Key Priorities for Safe and Responsible Adoption

Artificial intelligence (AI) is being rapidly integrated into public sector operations. In 2024 alone, federal agencies reported more than 1,700 AI use cases, more than double the number from the prior year. With half of these concentrated in departments managing sensitive national missions such as healthcare, veteran services and homeland security, the need to secure AI systems in government are both urgent and complex. Success relies on an end-to-end approach to address risks, maintain complia...
HPCwire •

AI Revolutionizes Exoplanet Discovery Uncovering New Worlds

For centuries, humans have looked at the stars and speculated about the existence of life beyond our planet, wondering if other planets and solar systems harbor similar conditions that could support life.
Innovations such as telescope optics, high-resolution imaging cameras, and space flights allowed us to extend our understanding of the cosmos. It also enabled us to discover exoplanets – planets that orbit stars outside our solar system.
The first definitive detection of exoplanets was made in...

Predictions for Future of the Telecommunications and Broadband Industry

The year 2020 changed all of our lives and disrupted almost every industry around the globe. These unprecedented times have accelerated certain structural changes, consumer habits, and pricing trends in the telecom and broadband industry. The companies in this industry are shifting to critical strategic opportunities that will allow them to recover from the pandemic and boldly position themselves to improve business outcomes. Here are 4 predictions for the future of the telecom and broadband industry.
Webopedia •

Top Managed Security Service Providers (MSSPs)

Organizations of all sizes can outsource their management of security devices and systems to a Managed Security Service Provider (MSSP). For most companies, it is more cost-effective and efficient to outsource security to an MSSP company rather than setting up its own security system and personnel. Read on to learn more about what MSSPs do and some of the top MSSPs on the market today.

The typical managed security service provider specializes in security monitoring and incident response. They a