How to make data ‘everybody’s business’
Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.
Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.
Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.
The key to unlocking new digital value is aligning a reorganization around four levers: customer, capability, commercialization, and component.
Top-performing companies invest in CEO-level data leadership, data value realization, and data resource life-cycle measurement.
Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.
Companies perform better when their boards and executive teams stay current with fast-moving technologies.
A Salesforce case study shows how organizations can make sure digital platforms meet the needs of customers, partners, and internal developers.
When enterprises address opportunities or threats immediately, they perform better. A new research briefing looks at the traits such companies share.
Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.