What Enterprises Need to Know About Getting Started with AI/ML

Companies around the world are investing tens of billions of dollars on artificial intelligence (AI) and machine learning (ML), and for good reason. These technologies have real business-altering potential, and that's why Gartner's "Enter the Age of Analytics" report predicts that by 2023, AI and deep-learning techniques will be the two most common approaches for new applications of data science. Effective use of both AI and ML in business production use cases can help enterprises that use them jump far ahead of competitors in their sectors, because the technologies remove friction that gums up processes. But despite this promise, few companies have been able to successfully implement and deploy this technology as part of their overall data and analytics strategy. According to Gartner, 46 percent of CIOs have developed plans to deploy AI, but just 4 percent have made the concept a reality.