Over the last decade, we’ve seen the rapid advancement of security threats deeper into the technology stack. What started within software and applications has moved to operating systems and middleware ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

Businesses across a plethora of sectors—including healthcare, finances, e-commerce and even manufacturing—are rapidly embracing artificial intelligence (AI). AI has a knack for automating repetitious ...

Investment into AI data center development is exponentially increasing: in June 2025, Amazon announced a $20 billion investment into AI data center campuses in Pennsylvania alone, and in July 2025, ...

The recent shift towards reasoning models, requiring 100x more compute power, is a major tailwind, confirmed by OpenAI's upcoming move to make GPT 4.5, the last non-reasoning model. I believe Nvidia ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Sumeet Arora, chief development officer at ThoughtSpot. The new wave of AI has ...