By 451 Research, a part of S&P Global Market Intelligence.
More data isn’t necessarily better or more interesting. What is interesting is how organizations can exploit the data they have to build the next generation of applications that will, in turn, use data to fuel AI models that will make the applications smarter over time, without the need for a human to keep updating rules-based processes.
That is a huge shift, and one fraught with dangers and pitfalls, particularly if those applications can only be built by the most highly skilled technicians and if the technology makes decisions in a way that humans cannot fathom, let alone audit.
Understand the benefits and technical challenges using AI as organizations increasingly employ enterprise data science platforms and tools to make strategic decisions.
Image for illustrative purposes only.
Introduction:
The year ahead holds significant promise for IT, especially considering the recent upheaval that swept across the field. Enterprises scrambled to address the changes caused by the COVID-19 pandemic, and vendors and service providers pivoted to fill the needs that these shifts created. This report looks at five key areas in IT that will have significant impacts today and in the near future. They are bound together by the need to more closely connect technology to the people who interact with it, shifting technology from an end to a means. Technology must serve new models of work, meld dispersed elements of infrastructure, and inform and enhance customer experience while securing the systems and information that drive it.
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