Explore the evolution of artificial intelligence software and see how AI is driving competitive advantage with IDC.
Discover how cities are becoming smarter by integrating innovative tech solutions like Artificial Intelligence and Digital Twins to optimize how cities operate with IDC’s Curt Savoie.
Learn about the three pillars that drive enterprise intelligence; a technology platform that is increasingly being driven by artificial intelligence.
Discover the challenges in AI adoption and implementation for healthcare and life science organizations during the industry’s recent digital transformation.
Explore the innovative technologies, including AI and 5G, being used to combat COVID-19 with IDC’s Chris Kanthan.
What comes to mind when you think of intelligence within your organization? Is it having access to the latest information on key metrics, such as revenue, costs, and profit? Is it a broader view of ‘all information’ you need to make a decision?
Artificial intelligence (AI) is poised to transform the way that marketing professionals work, and how organizations target, engage and connect with customers and prospects. Just like how marketing automation created new tasks and job functions, AI will revolutionize the way marketing is performed – and dictate a new set of job needs and skills.
We’ve discussed how the term artificial intelligence (AI) covers a wide array of applications; just like many of these functionalities, affective computing is beginning to see some growth in the market. Spanning across computer science, behavioral psychology, and cognitive science, affective computing uses hardware and software to identify human feelings, behaviors, and cognitive states through the detection and analysis of facial, body language, biometric, verbal and/or vocal signals.
Artificial intelligence (AI) adoption is at a tipping point, as more and more organizations develop their AI strategies for implementing the revolutionary technology within their organizations. However, there are still major challenges to AI adoption; in fact, cost of the solution and lack of skilled resources are cited as the top inhibitors of adopting AI.