Even as companies race to roll out generative AI tools to be more competitive and productive, several hurdles are leading to pilots being abandoned. By 2026, 80% of enterprises will have used ...

As organizations pour billions of dollars into GenAI projects, they encounter an unfortunate reality: across industry, 95% of organizations fail to achieve any measurable impact from GenAI. 1 Yet ...

At least 30% of generative AI (GenAI) projects will be dropped after the proof-of-concept (PoC) stage by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or ...

Gartner forecasts that at least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025. The primary reasons cited for this high dropout rate include poor ...

Despite the promise of artificial intelligence transforming industries, rising costs and mounting risks are causing many AI projects to falter, as highlighted by several recent reports. At least 30% ...

While generative AI (GenAI) has revolutionized business performance across industries, there are many considerations to consider before embarking on a GenAI project. Establishing a robust GenAI ...

Since generative AI (GenAI) went mainstream two years ago, it's created what many have called an AI “gold rush,” adding as much as $7.9 trillion to the global economy, according to McKinsey ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax, a leading AI platform, today announced the enhancement of its GitHub Copilot extension with its cutting-edge AI Platform-as-a-Service (AI PaaS) solution ...

A report from a code analysis vendor compares the details behind genAI rollouts between the two verticals, revealing that 61% of retail genAI code repositories show active development, compared to 22% ...