How should companies approach AI? “It’s time to head into overdrive,” reveals our new research, because there is no going back to the old pace of innovation.
In fact, 44% of our survey respondents believe the bottom line will suffer if they don’t adopt AI.
Our research also shows the danger zone is real with old and new challenges along the way, including cybersecurity, regulations, new customer demands and ethics. More importantly, AI presents one of the greatest leadership challenges of our times, and the true transformation will need to start from the top.
Join mavericks from Oxford Economics and NTT DATA to learn about the research and get advice from the flight deck
| How your industry peers are approaching AI|
| Practical tips, leadership cues and a clear sense of what to expect as you adopt AI|
| How to better manage the risks and ethics of AI|
Senior Vice President, Data Intelligence & Automation
NTT DATA Services
Greg serves as senior vice president of Data Intelligence and Automation of NTT DATA Services, delivering industry-specific offerings in data analytics, intelligent automation, blockchain, and IoT technologies that enable breakthrough performance for clients around the world.
Consultant AI & Analytics
NTT DATA Services
Theresa is an accomplished, business-centric data executive, advisor and published author who leads companies through transformation during rapid technology, regulatory and market disruptions. She brings more than 25 years of expertise in harnessing data and analytics, company and customer information to help lower costs and contribute multi-billion-dollar growth for technology leaders.
Editorial Director & Technology Practice Lead
Edward oversees global research programs. His areas of focus include artificial intelligence, cloud computing, the impact of technology on business performance and healthcare organizations. Ed joined the firm in 2012 after more than two decades as a business and technology journalist, including stints as an editor and senior writer at various Ziff Davis magazines, a contributing editor at Wired and a staff writer at Forbes. Ed also wrote a weekly newspaper opinion column for many years in his hometown of Greensboro, NC.
Matthew joined the company in 2015 and works closely with senior staff to manage thought leadership programs on a wide range of topics, including this study on artificial intelligence with NTT DATA. His areas of focus include cryptocurrencies, business technology, the future of work and economic impact. Based in New York, Matt is a graduate student at Rutgers Business School in the Master of Information Technology and Analytics program.