Transform, Compete, Excel

AI is no longer an optional technology. From sales predictions to revealing and dealing with potentially disruptive events before they plummet profits, AI is an essential tool for gaining a competitive edge.

While most executives know what AI is, some IT leaders struggle to understand where the application of AI is most advantageous. Attend this practical keynote presentation to learn how industries are harnessing AI for competitive advantage and lessons learned along the way.

You will learn:

• Top three areas where companies are applying AI to improve business decisions
• How AI enables greater insight into market opportunities
• Ways enterprises are using AI to increase customer trust

Chetan Gupta

VP, Head Industrial AI Lab, Chief Data Scientist

Hitachi

AI and Machine Learning help companies to automate decision-making, boost productivity and allow employees to work on complex tasks.

However, there are inherent risks involved in deployment of AI and ML solutions. From privacy violations to inherent bias and security concerns, it is essential that these considerations be part of every AI deployment.

Attend this panel discussion to learn how top companies are:

• Examining data to avoid replication and amplification of existing biases (algorithmic bias)
• Seeking to better understand and address the dangers of privacy violations
• Building safe and trustworthy AI systems
• Striving for ethical AI development

Patrick Burke

Counsel, US Privacy, Data Protection, Cybersecurity and Fintech Practice

Norton Rose Fulbright

Denise Kleinrichert, PhD

Professor, Management/Ethics

San Francisco State University

Louis Rosenberg

CEO & Chief Scientist, AR Pioneer

Unanimous A.I.

Moderator:

Peter Henstock

Lecturer | Graduate Advanced AI & Machine Learning

Harvard

Every AI application idea requires a clear strategy and execution plan. It also requires the focus of stakeholders on the real-world business outcomes that AI will enable.

Attend this keynote session to learn key considerations for making sure your AI solution deployment doesn’t skip important steps.

You will also learn:

• Ways to accelerate AI adoption in all parts of the business
• When to build products in-house vs. when to leverage existing industry solutions
• How to choose vendor products that deliver based on your business goals
• Practical guidance on lessons learned and how to avoid common AI issues

Dr. Satyam Priyadarshy

First Chief Data Scientist

O & G / Energy Industry

How will implementing AI and ML expand or change your data strategy? How does AI/ML adoption accelerate business goals? How can IT leaders assure a successful transformation across IT and data ecosystems?

Attend this panel discussion to learn how top companies are using AI/ML to improve processes and customer/employee journeys to gain a competitive advantage.

You will gain practical insights into:

• How to best match data and AI ambitions with business outcomes
• Lessons learned when setting budgets and rollout timeframes for AI/ML
• Most common stumbling blocks faced when deciding which data sets are needed for AI success
• Ways to align talent needs with AI/ML goals

Jorge Anicama

Director and Analytics Practice Lead

Datavail

Ashok Manthena

A.I. Strategist & Author

A.I. for Finance

Dr. Koen Pauwels

Distinguished Professor of Marketing, Dean of Research

Northeastern University

Neerav Vyas

Head of Customer First North America - Insights & Data, North America

Capgemini

Moderator:

Nan Li

VP, AI/ML and Statistical Practice

Nationwide