Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they also are encountering a number of challenges with integrating this new intelligence into their operational processes.
The value of using algorithms to unmask hidden patterns and then correlate findings with other seemingly unrelated variables to create real "intelligence" is becoming increasingly clear with each completed proof-of-concept (POC) project. But it is the larger, organization-wide deployment of AI that will generate the return on investment (ROI) that companies large and small have been seeking.
The report features an examination of key market drivers and barriers, business models and engagement structures, industry dynamics, technology issues, and key industry players within the growing market for AI service.
Machine learning is a branch of Artificial Intelligence (AI) which enables software applications to solves problems that are unstructured in nature.
Digital technologies have brought much improved productivity, better customer experience and improved collaboration among stake holders in the past few decades.
Comprehensive cloud management is vital to protect cloud assets against vulnerabilities, data loss and downtimes. Cloud's true potential cannot be harnessed by managing it like a data center.
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