TECH BUYER Oct 2019 - IDC FutureScape - Doc # US45576319
IDC FutureScape: Worldwide Artificial Intelligence 2020 Predictions
By: Ritu JyotiGroup Vice President, Worldwide Artificial Intelligence and Automation Research Practice Global AI Research Lead, Philip CarnelleyAVP, European Software Group, Jennifer HamelResearch Manager, Analytics and Intelligent Automation Services, Christopher Lee MarshallAssociate Vice President, Shane RauResearch Vice President, Computing Semiconductors, Peter RuttenResearch Director, Infrastructure Systems, Platforms and Technologies Group, Performance Intensive Computing Solutions Global Research Lead, David SchubmehlResearch Vice President, Conversational Artificial Intelligence and Intelligent Knowledge Discovery, Hayley SutherlandSenior Research Analyst, Conversational AI & Intelligent Knowledge Discovery, Alan WebberProgram Vice President, Customer Experience, Jessie Danqing CaiAssociate Research Director, Alejandro FloreanVice President Consulting & Strategic Solutions, Latin America, Nobuko IisakaResearch Manager, Software & Security, IDC Japan, Yanxia LuAssociate Research Director, Scott Lundstrom, Warren ShiauResearch Vice President, AI & Analytics, Thomas VavraAssociate Vice President, Software, CEMA, Ali ZaidiResearch Vice President, IT Consulting, Systems Integration, and Artificial Intelligence Services
This IDC study provides IDC's 2020 top 10 predictions for artificial intelligence (AI).
"Artificial Intelligence is poised to be more prolific and span every aspect of our lives and business. AI disrupters will enjoy a differentiated and sustainable measure of success ranging from superior customer engagements, accelerated rates of innovation, higher competitiveness, higher margins, and productive employees. Organizations worldwide must evaluate their vision and transform their people, processes, technology, and data readiness to unleash the power of AI and thrive in the digital era," said Ritu Jyoti, program vice president, Artificial Intelligence Strategies. "However, AI's rate of adoption will be challenged by evolving national regulations, a lack of an ethical foundation, and a lack of transparent and self-explaining algorithms critical for the trust and avoidance of unintended negative outcomes."
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