American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...

In 2025, to borrow a phrase: the AI revolution is already here; it's just not evenly distributed. While individuals are seeing productivity gains from LLMs or newer agentic systems, larger projects ...

This week, an exercise in separating truth from hype. I am old enough to remember when generative AI (genAI) was the best thing since sliced bread — destined to solve any and all problems. But CIO.com ...

The healthcare industry is buzzing with the transformative potential of artificial intelligence (AI) and machine learning (ML). However, amid the hype, a major sticking point is often overlooked: the ...

In this special guest feature, Robin Purohit, Group President of the Enterprise Solutions Organization at BMC Software, Inc., discusses how IT and data teams can make sense of the right data that will ...