AI World Conference 2019
Now in our fourth year, AI World Conference and Expo has become the industry’s largest independent business event focused on the state of the practice of AI in the enterprise. The AI World 3-day program delivers a comprehensive spectrum of content, networking, and business development opportunities, all designed to help you cut through the hype and navigate through the complex landscape of AI business solutions. Attend AI World and learn how innovators are successfully deploying AI and intelligent automation to accelerate innovation efforts, build competitive advantage, drive new business opportunities, and reduce costs.
AI World 2019 features a significant expansion of content coverage, including the addition of pre-conference half-day seminars on topics such as AI in Customer Analytics, AI and Cybersecurity, and AI 101 for Business Leaders. Our main conference program has been expanded to include focused tracks covering a multitude of industries and technology topics such as Financial Services, AI in Healthcare, AI in Pharma, AI in Retail and eCommerce, AI in Energy, AI in Manufacturing, Emerging AI Research, and much more. In addition, over three days you'll have 15+ hours to network with industry leaders and your peers, including our popular birds of a feather networking reception, and you will gain access to our state of the art mobile app which enables attendees to schedule their own meetings throughout the conference.
Protiviti speaker will be available on the roundtable panel Wednesday, October 23 at 10:00 am - 10:30 am.
Title: Executive Roundtable: AI Drives Innovation in Enterprise Applications
AI is the single greatest disruptive force facing industry today. All aspects of business are changing as organizations move forward with AI-fueled digital transformation. Increasingly, customers expect that AI infused enterprise applications will drive continued improvements in value, quality, and engagement. Hear from business and technology leaders who are managing their enterprise’s AI innovation efforts in an in-depth discussion about strategic directions and lessons learned.
Mickey North-Rizza, Research VP Enterprise Applications, IDC
Sol Rashidi, EVP, Chief Data Officer, Sony Music Entertainment
David Castillo, PhD, Managing Vice President of Machine Learning, Capital One