Put AI to Work
April 15-18, 2019
New York, NY
Rajendra Prasad

Rajendra Prasad
Automation and Artificial Intelligence Lead, Accenture

Website

Rajendra Prasad (RP) is the Global Automation and Artificial Intelligence Lead for Accenture Technology Services. In this leadership role, RP focuses on driving efficiency across the IT application lifecycle for Fortune 500 companies. With his more than 25 years of industry experience, he partners with clients on their journeys to stay competitive and achieve business strategy in our post-digital world. RP holds 13 patents, including in AI, and over 120 patents-pending, and has had 30 papers published in international journals. He leads the team that created and currently deploys Accenture myWizard, an end-to-end intelligent automation and delivery excellence platform with Artificial Intelligence at its core.

Sessions

10:15am–10:20am Thursday, April 18, 2019
Simple, scalable, and sustainable: A methodical approach to AI adoption (sponsored by Accenture)
Location: Grand Ballroom West
Rajendra Prasad (Accenture)
Average rating: *....
(1.00, 2 ratings)
After crossing the first AI implementation milestone, leaders often ask, "What’s next?" Based on experience implementing AI-led automation for more than 100 clients, Accenture has developed an easy-to-use methodology for scaling and sustaining reliable AI solutions. Rajendra Prasad (RP) explains how leaders and change makers in large enterprises can make AI adoption successful. Read more.
11:05am–11:45am Thursday, April 18, 2019
Simple, scalable, and sustainable: A methodical approach to AI adoption (sponsored by Accenture)
Sponsored
 Location: Petit Trianon
Rajendra Prasad (Accenture)
Average rating: ****.
(4.00, 1 rating)
After crossing the first AI implementation milestone, leaders often ask, "What’s next?" Based on experience implementing AI-led automation for more than 100 clients, Accenture has developed an easy-to-use methodology for scaling and sustaining reliable AI solutions. Rajendra Prasad (RP) explains how leaders and change makers in large enterprises can make AI adoption successful. Read more.