The answer is simple. Start with boring. Boring projects make money. Clients who address these three elements are more likely ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

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 ...

What if the secret to unlocking seamless project management lies not in working harder, but in working smarter? Imagine a world where AI not only assists but transforms the way teams collaborate, ...

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

Anand “Andy” Logani is executive vice president and chief digital and AI officer at EXL, a global data and AI company. According to S&P Global research published in May 2025, the average failure rate ...

Your project is on schedule, until legal reviews take way longer than anticipated. You find out—too late—this exact situation happened with another a project a few years ago. Sound familiar?

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 ...

Research on how AI systems are reshaping conflict dynamics—from military operations and strategic decision-making to diplomacy, mediation, and peacebuilding—alongside practical methods to evaluate ...

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...