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 ...

Google’s AI ecosystem includes over 30 tools categorized into seven groups, addressing needs like deep learning, content ...

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 ...

To prepare AI agents for office work, the company is asking contractors to upload projects from past jobs, leaving it to them ...

Most factory projects finish late and over budget. Physical AI simulations are cutting costs by 30% and reducing errors by 90 ...

Upwork reports that AI slop can undermine productivity and trust in organizations, highlighting the need for effective ...

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?

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 ...

Use the ChatGPT virality blueprint and Skill Accelerator prompts to create better content and learn faster with simple, daily ...