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 ...

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

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% ...

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 ...

For enterprise data teams, GenAI expectations are sky-high, and a new survey of data and analytics executives by Wakefield Research on behalf of data copilot company Prophecy finds that management ...

There is a misalignment among C-Suite leaders when it comes to business goals and operational readiness for GenAI deployment, according to a new report titled 'The AI Security Balancing Act: From Risk ...

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 ...

Protegrity, a global data security leader, has released its free Developer Edition on GitHub to help developers, data scientists, ML engineers and privacy/security engineers integrate powerful data ...