GARTNER IDENTIFIES 25 TECHNOLOGIES KEY TO ENHANCING AI AUTOMATION, IMMSERIVE EXPERIENCES, AND TECHNOLOGIST DELIVERY – EnterpriseTalk
Gartner has today (10 August) outlined the top 25 emerging technologies for business as part of its Hype Cycle report*. It identified these key insights from over 2, 000 technologies that it profiles year-on-year. Amongst its findings included three key themes for growing technology trends, including expanding immersive experiences, optimising technologist delivery and accelerated artificial intelligence (AI) automation. It suggested that, while these technologies show promise associated with delivering a high degree of competitive advantage within the next two to ten years, some present great risks for deployment.
Ash Finnegan, digital transformation officer at Conga – a specialist in revenue operations transformation – comments on how business leaders should approach AI automation programmes:
“As Gartner’s forecast outlines, AI is a promising technology that will offers competitive advantages. However , that does not necessarily mean it is implemented while part regarding a wider transformation programme. Far too many business leaders are focused on the particular ‘hype, ’ prioritising technology over strategy, simply picking the latest AI automation solution and implementing it at speed in an attempt to keep up with their competitors.
“This presents a great risk to deployment as leaders simply do not understand what AI or automation truly is and what it should drive. They are rushing to adopt a technology, without developing clear objectives or understanding how it will improve their overall services or company performance. AI is not the silver bullet – it is only as good as the data provided. If there are usually bad processes in place, software technology will only accelerate existing issues.
Also Read: Automation: Three Key Pitfalls to Avoid
“Instead, frontrunners should start by streamlining their operations and ensuring that all data will be accounted with regard to across the income lifecycle, before they consider applying any new technology, or even indeed, making any major strategic decisions or changes for their organisation. All systems, data plus processes need to be aligned prior to implementation. Leaders need to be more strategic with their own investments in addition to approach AJE or motorisation with a level head, rolling out a new programme in a phased manner. From here, automation can add real value and take their enterprise to some sort of true intelligent state. ”
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