CTO Forum

Six Series 2: RETHINK ARTIFICIAL INTELLIGENCE

RETHINK ARTIFICIAL INTELLIGENCE / Emergent Technologies

March 3 and 4, 2022

Rethink Digital Six Series II

Module 1: RETHINK ARTIFICIAL INTELLIGENCE

The EmTech Series is set to explore new technology frontiers and guide senior leaders on the journey of how to best leverage these transformative technologies to gain optimal success and winning results for businesses across industries.

This module will continue the journey of illuminating the tremendous opportunities that incumbent organizations have to drive greater operating efficiency, improved customer outcomes, and long-term competitive advantage through the use of artificial intelligence and machine learning in their core products and services.

While many organizations have faced challenges in demonstrating value from their AI/ML initiatives, it has typically not been the result of lack of vision, potential use cases, or even prototypes; instead, it has often arisen from the inability to consistently deploy and maintain at-scale solutions in mission-critical production environments. The root cause of these challenges rarely arise from the much-publicized lack of data scientists or difficulty in algorithmic development. Rather, data and application infrastructure, process, talent, and organizational alignment often present the most daunting bottlenecks.

In 2019, Fortune Magazine surveyed 2,500 executives and found that 70% of the firms have not realized any business value out of their significant AI investments.

The goal of this conference is to delve deeper into successful AI/ML eco-systems: The architecture, design and deployment of the digital brain for every organization that can bring awareness, consciousness and advanced intelligence necessary to lead in the Digital Age.

For Module 1 – RETHINK ARTIFICIAL INTELLIGENCE, our focal topics include:
1. Machine Learning, Neural Networks, and NLP
2. Voice, Vision, Speech, and Chat
3. Synthetic Media & Deep Fake
4. AI Beyond Machine Learning

Dr. Ruslan Salakhutdinov, Ph.D.
Carnegie Mellon University

Dr. M. Ehsan Hoque, Ph.D.
University of Rochester

Dr. Stuart J Russell, Ph.D.
University of California - Berkeley

Dr. Pattie Maes, Ph.D.
Massachusetts Institute of Technology

Homa Siddiqui
Quantexa

Dr. David D. Cox, Ph.D.
IBM Research

MARCH 3
10:55 AM – 11:00 AM EST
MODULE 1 INTRODUCTION
11:00 AM – 12:20 PM EST
LECTURE: Machine Language, Neural Networks, and NLP
Dr. Ruslan Salakhutdinov, Ph.D.

UPMC Professor of Computer Science/Machine Learning, Carnegie Mellon University

12:20 – 12:40 PM EST

Break

12:40 – 2:00 PM EST
LECTURE: Computer Vision, Voice, Speech, and Chat
Dr. M. Ehsan Hoque, Ph.D.

Associate Professor of Computer Science, University of Rochester

2:00 – 2:20 PM EST

Break

2:20 – 3:45 PM EST

EXECUTIVE KEYNOTE & ROUNDTABLE

Homa Siddiqui

Vice President Client Strategy & Impact, Quantexa

3:45 PM
DAY 1 ADJOURN
MARCH 4
Please Note:
Day 2 timing is updated
11:20 AM – 12:40 PM EST
LECTURE: AI Beyond Deep Learning
Dr. Stuart J. Russell, Ph.D.
Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California – Berkeley
12:40 – 1:00 PM EST
Break
1:00 – 2:20 PM EST
LECTURE: Synthetic Media and Deep Fake
Dr. Pattie Maes, Ph.D.
Professor in MIT’s Program in Media Arts and Sciences/Media Lab, Massachusetts Institute of Technology
2:20 – 2:40 PM EST
Break
2:40 – 3:50 PM EST
EXECUTIVE KEYNOTE & COLLABORATION SESSION
Dr. David D. Cox, Ph.D.
Director MIT-IBM Watson AI Lab, IBM Research
3:50 PM EST
MODULE 1 WRAP UP & ADJOURN