New report shows sustainability functions maturing, with data quality and ROI emerging as key challenges for 2025. NEW YORK, ...

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...

Deploy sliding time windows that continuously analyze supply chain and operations data streams. A 30-minute window can ...

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, integrity, and accuracy of an organization''s data. Enterprise data quality ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Discover why AI initiatives stall under accumulated technical debt — and how CIOs can overcome it. Learn actionable ...

The legal industry thrives on accurate information. Client information guides marketing, improves operations, and ensures lawyers give clients the best representation possible. Many law firms think ...

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...

Deepak Yadav is an Engineering Leader at Amazon, Data & ML expert, ex-Ask.com, formerly with Amdocs, and Data Influencer. Generative AI is emerging as a transformative force in data engineering, ...

The demand placed on the grid by artificial intelligence (AI) and high-performance computing is making power quality an ...