![]() Typically – and at the most basic level – AI analyzes historical data to make predictions about the future.ĪI learns very much the way humans do – except at an exponentially faster rate. ![]() That makes it even more important to get a handle on the basics. What’s different this time is the degree to which reasonable and knowledgeable people believe that there is, indeed, a real urgency to get going with AI now.” As Enterprisers Project noted in our Harvard Business Review Analytic Services report, An Executive’s Guide to Real-World AI, “Hype in tech is nothing new. It’s clear that AI will be on everyone’s roadmap soon. Artificial intelligence and machine learning are top of mind for most organizations today,” David Schubmehl, research director of Cognitive/Artificial Intelligence Systems at IDC said in conjunction with the guide, noting that AI will be the disrupting influence reshaping entire industries over the next decade. ![]() “The use of AI and machine learning (ML) is occurring in a wide range of solutions and applications, from ERP and manufacturing software to content management, collaboration, and user productivity. Global spending on AI systems will hit $97.9 billion in 2023, two and a half times the 2019 spend, according to IDC’s Worldwide Artificial Intelligence Systems Spending Guide. The total installed base of devices with AI will grow from 2.7 billion in 2019 to 4.5 billion in 2024, according to ABI Research. Artificial intelligence (AI) has progressed from fantasy to reality at enterprises across a wide variety of industries.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |