Dr Anand Rao
Global AI Lead, PwC
Anand Rao is a Partner with PwC’s US Advisory practice, with over 33 years of industry and consulting experience, helping senior executives structure, solve and manage critical issues facing their organizations. With a computer science and Artificial Intelligence background and over 20 years consulting experience he blends deep analytics and computational techniques to solve challenging business problems using creative solutions.
His work has included natural language processing, machine learning, deep learning, behavioral economics, simulation modeling (digital twins) & reinforcement learning, global growth strategies, marketing, and distribution strategies, online, mobile, social media strategies, customer experience, multi-channel integration, risk management, and large scale program mobilization.
Before his consulting careers, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute, a boutique research and software house and has taught and supervised PhD students at U. of Melbourne
Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops. Anand was awarded the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents and Multi-Agent Systems (AAMAS) organization and the Distinguished Alumni Award from BITS Pilani. He is a frequent speaker at industry and academic forums.
Anand holds a MSc(Tech) in Computer Science from Birla Institute of Technology and Science in India and PhD in Artificial Intelligence from University of Sydney, where he was awarded the University Postgraduate Research Award. He was also awarded an MBA from Melbourne Business School with Distinction.
Project Experience Highlights
Anand leads AI globally and is the X-Vertical Analytics Champion for PwC, US. As part of this role he leads the AI Accelerator and the design and deployment of advanced AI techniques and decision support systems for clients, including , natural language processing, text mining, social listening, speech and video analytics, machine learning, deep learning, multi-agent systems and simulation. He is also responsible for Open Source Software tools related to Apache Hadoop and packages built on top of Python and R for advanced analytics. He also oversees the academic and vendor partnerships related to external data sources and advanced analytics.
Anand has led a number of engagements including the following:
–Developed a strategic planning ‘Decision Cockpit’ for a large auto manufacturer that led to the deployment of a multi-billion dollar business unit on carshare, electric vehicles and autonomous vehicles. This work was awarded the Best Enterprise AI application at the AI Summit in San Francisco in 2017.
–Developed a diagnosis system for NASA's Space Shuttle and an air-traffic flow management at Sydney airport for the Civil Aviation Authority in Australia.
–Led the design and development of a Digital Advice platform called $ecureTM, a big data & digital twin system developed for financial services clients to model, investor behavior from cradle-to-grave, economic and market conditions, and their impact on financial service clients’ market share, balance sheet and P&L.
Led PwC’s Global AI Study that quantified the value of automation and augmentation facilitated by AI across the value chain of 8 sectors with over 300 use cases. Anand also co-led the firm-wide scenario planning initiative on the Future of Insurance 2020.
Recent Whitepapers & Perspectives
The Future of AI depends on Trust, Strategy & Business, July, 2018
The Smarter Phone: How AI-enabled devices will reshape the TMT industry, March 2018
Sizing the Price: What is the real value of AI and how can you capitalize on it?, May 2017
Strategist’s Guide to Artificial Intelligence, Strategy & Business, May 2017 (Won Best Business paper “Eddie” Award by Folio & Gold Award by ASBPE)
Leveraging the upcoming disruptions from AI and IoT, March 2017.
How AI is pushing man and machine closer together, April 2017.