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
Dr. David D. Cox, Ph.D.
UPMC Professor of Computer Science/Machine Learning, Carnegie Mellon University
Associate Professor of Computer Science, University of Rochester
EXECUTIVE KEYNOTE & ROUNDTABLE
Vice President Client Strategy & Impact, Quantexa