More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than ...

1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

Despite optimism about AI’s potential and near-universal AI experimentation, Smartsheet research reveals a critical shortfall in trust, unified tools and consistent usage, underscoring the need for ...

A report published by MIT's Decentralized AI project found that 95% of the generative AI programs at U.S. companies aren't working. Summarizing 150 interviews with managers, a survey of 350 employees ...

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Referral software companies are another example of businesses that are unlikely to be heavily disrupted by AI. Their products usually function as execution tools for their customers rather than ...