How to manage two types of generative AI
Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.
Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.
When enterprises address opportunities or threats immediately, they perform better. A new research briefing looks at the traits such companies share.
The MIT Center for Information Systems Research (CISR) has published a new report identifying four capabilities that companies described as “real-time” businesses.
AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.
By assessing and applying the right type of governance, ecosystem participants can address shared challenges and grow ecosystem value.
Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
Succeeding with Web3 means creating value with blockchain and managing decentralized governance.
Four ways established companies can partner with xTechs to accelerate digital transformation and outperform the competition.
Build business commitment, provide shared technology, and streamline handoffs to increase the odds of success.