by Alexandra GovorukhaBetween 70% and 95% of digital transformation efforts fail. That’s not a technology problem. Boston Consulting Group research reveals roughly 70% of challenges in AI projects ...

The failure is not in the technology. It is in the operating model surrounding it, and it shows up in three interconnected ...

As organizations rush to deploy autonomous systems, success increasingly depends on governance, workflow design and ...

AI projects usually tank because employees are scared for their jobs, company culture resists change and leaders care more ...

Before you buy another training program, fix the system around it. That’s where the real ROI lives. The impact of generative AI and machine learning on workplaces and roles of all kinds has been ...

AI coding tool flaws highlight the need for data-layer governance, access controls, encryption, and audit logs for AI agents.

Bank of America predicts agentic AI will "spark a corporate efficiency revolution that transforms the global economy." Citigroup goes further, suggesting it "could have a bigger impact on the economy ...

Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy ...

AI-driven disruption is triggering a sharp selloff in data, consulting, and SaaS companies, exposing structural vulnerabilities in their high-fee, recurring revenue models. Oracle stands out as a ...

It's a familiar frustration: You need help from a company, so you click the chat button. Instead of a human, you get a chatbot that doesn't understand your question. It gives you an answer that ...

His message is not that AI will fail as a technology. Rather, he warns us that the greatest technological revolutions in history have repeatedly destroyed the investors who funded them. We’ll examine ...