AI in Enterprise Laboratory for Innovation Science

As the Global Artificial Intelligence Lead and innovation lead within PwC’s Emerging Technology practice, Dr. Anand S. Rao is responsible for research and commercial relationships with academic institutions and start-ups, research, development and commercialization of innovative AI, big data and analytic techniques. With over 35 years of industry and consulting experience, he leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. Drawing from his PhD and research career in AI, as well as his subsequent experience in management consulting, Anand's session will explore the concept of "agile AI" and how to incorporate it into the enterprise responsibly.

In this session of AI in Enterprise, we hear from Jesse Arundell about how Australia’s largest financial services institution is accelerating its adoption of new and emerging technologies (e.g. AI, RegTech, DLT, 5G, Quantum Computing) through active experimentation with its technology partners, investments in new deep technology start-ups, and the creation of new software and algorithms. He shares what his team does, how they work and what they are currently focused on.

Whether you build your own ML models or grab an off-the-shelf AI solution from a startup, your team can integrate machine learning into your business today. In the March session of AI in Enterprise, Allie K. Miller discussed five common strategies that enterprise decision-makers take, along with the decision tree of internal team resources, external team resources, skillsets, budgets, and delivery time.

Allie has worked in three of the most critical areas of AI—conversational, computer vision, and data. She is the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS). Allie was named as AIconic’s 2019 "AI Innovator of the Year", LinkedIn Top Voice for Technology and AI 2019 and 2020, Award Magazine’s Top 50 Women in Tech and Top 100 Global Thought Leaders, ReadWrite’s Top 20 AI Speakers in the World, Data Salon’s Top 25 Data Science influencers in the world, and Neptune’s Top 20 AI Influencers. Prior to joining Amazon, Allie was Lead Product Manager at IBM Watson where she led a team of 30 engineers to build IBM's first-ever trained multi-modal AI system and built core artificial intelligence vision technology for start-ups to Fortune 50 clients for use cases as diverse as photo analysis, inspections, insurance, fraud detection, and media tracking.