Controversy has erupted over whether AI foundation models developed by South Korea’s “national representative AI” companies ...

Only 5% of AI projects deliver. It comes down to the ability to customize. With partnerships in place, AI success odds double. Ask the right questions before deciding between building or buying. There ...

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 ...

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 ...

To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and ...