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.
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.
By assessing and applying the right type of governance, ecosystem participants can address shared challenges and grow ecosystem value.
