This Checklist offers practical guidance: steps you can take to understand and respond to emerging global regulations, ...

Momentum is still growing around generative AI, and many organizations who’ve been experimenting with AI now want to operationalize new AI analyses. One approach that supports operationalization is ...

The generative artificial intelligence (AI) boom will continue unabated over the next several years. As 2025 approaches, I predict the following key trends in generative AI. Adoption of generative AI ...

Organizations increasingly recognize the value of their data assets and that their ability to quickly and efficiently reach actionable insights is a key competitive differentiator. A data fabric can ...

Enterprises rely on robust data quality management to address challenges and seize strategic and operational advantages in today’s business environment. Data quality management—often known as ...

In recent history, companies both domestic and international have focused on becoming data-driven. They have mastered consolidating, managing, and leveraging data to inform their strategic ...

Dr. Jans Aasman: Neuro-symbolic AI is an advanced approach that integrates machine learning, neural network decision-making, symbolic logic and reasoning, and the capabilities of large language models ...

If you’ve been keeping up with the steady stream of developments in artificial intelligence -- particularly with generative AI -- you’ll have noticed that it usually involves a veritable alphabet soup ...

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It has been nearly two decades since Amazon Web Services brought cloud computing to the masses. By 2021, 96 percent of companies were using public clouds to support their business processes -- hosting ...

Innovations in data are coming fast and furious. Most noticeably, generative AI tools, powered by large language models (LLMs) and other advanced neural network algorithms, are driving fresh ...