In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...

AI didn’t fix IT operations in 2025 — analytics capability did, exposing which CIOs could turn insight into action and which ...

Why advanced technology accelerates dysfunction when decision rights, workflows, and culture aren’t built to execute.

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

"Analytics as a discipline has changed dramatically in the last five to 10 years – and for sure in the past five," says Anne Snowdon, chief scientific research officer at HIMSS. "With the explosion of ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Maximizing The Value Of Data Science And Machine Learning Models Many organizations struggle to operationalize advanced analytics and data science models to meet the goals of the business.

LONDON--(BUSINESS WIRE)--Quantzig, a premier analytics solutions provider, has announced the completion of its latest success story that illustrates how predictive analytics solutions helped an ...

Ekyam announced the launch of riOS (Retail Intelligence Operating System) on Google Cloud Marketplace, enabling retailers to seamlessly connect operational systems, standardize data across the ...

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, ...

Compare Amagi Media and Fractal Analytics IPOs as AI-driven SaaS disruptors—see which offers the stronger growth story before ...