AI AND ML
“Overhyped AI scares people . This can lead to slower adoption , and even sociopolitical fear and government regulation ”
ANTHONY J . BRADLEY GROUP VICE PRESIDENT , EMERGING TECHNOLOGIES AND TRENDS RESEARCH , ACCENTURE
machine intelligence , which can lead to misplaced efforts to automate humans out of the process . “ It also stokes fears of machines replacing people rather than exploring the tremendous benefits of combining the two . In reality , human intelligence and machine intelligence are very complementary .”
Successful AI-data strategies must be built on firm foundations The biggest challenge companies face is the depth and diversity of data across a wide range of platforms and systems , says Accenture ’ s Data Networks and Marketplace Lead , Prateek Peres-da-Silva . Alongside colleague Tyler Buffie , who works on Applied Intelligence within the company , Peres-da-Silva says a successful AI-data strategy is a lot harder to deliver than people might think – many companies still struggle to use existing data within a business , nevermind the deluge coming down the line thanks to AI / ML technology . technologymagazine . com 125