Managing the shift between intelligent automation and AI
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“As AI increases in scale and drives further change, businesses that embrace training and re-skilling current employees will realize tangible benefits”—Sudhir Jha, Infosys
Image by Wright Studio /Shutterstock
What is the current state of automation and AI projects within the enterprise environment? Who are the champions of these investments within organizations? And how effectively are enterprises managing the transition from intelligent automation to AI?
As automation and artificial intelligence (AI) become increasingly prevalent, many organizations are grappling with questions such as these. In particular, as the concept of ‘intelligent enterprise’ gains traction across sectors, there is an increasing need to consider both automation and AI as tools on the intelligent enterprise (IE) continuum.
“AI and machine learning are going to help organizations identify where they need to implement automation. The AI is going to act as the brain and automation will act as the arms and legs – to execute whatever results have been given by the AI” — Malay Saurabh, EdgeVerve
This report by EdgeVerve, which draws on the outcome of market research conducted in early 2018, highlights how organizations are managing the transition from automation to AI, as well as the current opportunities and market trends to be aware of.
Furthermore, Sudhir Jha, SVP and Global Head of Product Management and Strategy at Infosys and EdgeVerve’s Malay Saurabh, Product Management and Strategy, provide expert commentary on the findings and advice for organizations on the path to AI.
By downloading this report you will discover…
- The current state of AI investments and who is driving its implementation within organizations
- Where AI is being deployed and at what scale
- Preferred timelines to implementation
Click on the button below to download the EdgeVerve report, The path to AI: managing the shift between intelligent automation to artificial intelligence
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