Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.
Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
Companies perform better when their boards and executive teams stay current with fast-moving technologies.
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.
Top-performing companies invest in CEO-level data leadership, data value realization, and data resource life-cycle measurement.
A Salesforce case study shows how organizations can make sure digital platforms meet the needs of customers, partners, and internal developers.
The MIT Center for Information Systems Research (CISR) has published a new report identifying four capabilities that companies described as “real-time” businesses.
To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.
With carbon emissions reduction a top concern, tech leaders are building capabilities that help companies reduce their own emissions and those of suppliers and customers.
