Artificial intelligence technologies are diverse – and complex. Explore IDC’s advice around customizing your AI infrastructure stack with Sriram Subramanian.
Learn how retailers need to adapt to new technology capabilities and processes to scale ecommerce, store-level inventory management, and fulfillment and delivery volume.
Explore the innovative technologies, including AI and 5G, being used to combat COVID-19 with IDC’s Chris Kanthan.
Learn how Edge computing, AI, and advanced analytics help to uncover details, trends, and correlations.
Renewable and distributed energy resources continue to grow at a steady pace. As a result, utilities and power asset owners and operators are grappling with the ability to manage all the new clean technologies coming online in addition to re-evaluating traditional asset management practices. Renewable and distributed energy resources such as wind and solar are intermittent power resources which can create erratic shifts in electric supply and demand.
In what used to be the IDC Life Science Insights team (now part of the broader IDC Health Insights team), we have brought together seasoned industry professionals who are charged with researching and reporting how technology and innovation is driving organizational strategies within the life science industry.
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.