Trying to layer AI on top of monolithic systems results in high latency and skyrocketing compute costs, effectively killing ...

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Let's look at the pros and cons of going full AI to help you understand how the value and purpose of software development ...

AI in healthcare has reached a critical inflection point. Across the industry, organizations are investing heavily in artificial intelligence, believing it will revolutionize patient care, reduce ...

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

Josh Kanner, senior director of product and strategy at Oracle Construction and Engineering, talks about AI in construction at the Oracle Edge Customer summit in Las Vegas. Currently, data silos ...

A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...

The hyperscaler cloud providers plan to spend $1tn on hardware optimised for artificial intelligence (AI) by 2028, according to market researcher Dell’Oro. Meanwhile, enterprises are spending big on ...

Across politics, workplaces and everyday apps, 2025 turned into a breaking point for public patience with artificial ...