Google’s AI ecosystem includes over 30 tools categorized into seven groups, addressing needs like deep learning, content ...
Most factory projects finish late and over budget. Physical AI simulations are cutting costs by 30% and reducing errors by 90 ...
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 ...
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 ...
We are living through one of those rare moments when an entire industry cycle is being reimagined. Like the internet revolution of the 1990s, artificial intelligence is fundamentally reshaping how ...
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 ...
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Why your AI projects keep failing
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 ...
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 ...
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 ...
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