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In two high-powered days, expert-led interactive sessions will explore and demystify big data, data science and artificial intelligence’s latest iterations: machine learning and deep learning. You’ll explore the skills leaders need to drive digital transformation, harness data for results and lead an intelligent enterprise. You’ll understand how to select, manage and measure the impact of projects and strategies. You’ll explore ideas from leading thinkers about how the data revolution is reshaping society, culture and the nature of work. You’ll examine ethical implications as the use of advanced analytics and AI expands exponentially.
An understanding of Next Generation Analytics
History of Data Science
AI, Machine Learning and Deep Learning Overview; including
- Hype versus Reality;
- Drivers of Adoption;
- State of the Industry; and
- Barriers to Entry
Building a Next Generation Analytics Organization; including
- Organizing for AI, ML and DL;
- Building Data Driven & Data Literate Organizations;
- Critical Roles;
- Innovation Cycles & Uncertainty; and
- Maturity Models
Getting Started with AI, ML and DL; including
- First Projects & Evaluating Outcomes;
- Deployment Models & Business Impact;
- Managing Budgets; Mode 1/Mode 2 Technology Models;
- Insourcing vs. Outsourcing; and
Program Management
Long-Term Implications of ML & AI; including
- Moving to Sustained Adoption;
- Centralized vs. Decentralized Models;
- Resource Retention;
- Workforce Displacement; and
- Ethical Use of Data & AI
Who Should Attend?
- Leaders who want to deepen their understanding of today’s digital transformation, including senior managers and executives launching data initiatives;
- Business intelligence and data managers, engineers and architects; and
- Business line executives who want to become more AI and analytics savvy.
Schedule
| 8:30 a.m. – Noon |
Machine Learning & AI: Bryan Smith |
Getting Started with Machine Learning & AI Jeff Johnson |
| 1:00 p.m. - 4:30 p.m. |
Organizing for Machine Learning & AI Travis Grubbs |
Long-Term Implications of Machine Learning & AI Jeff Mettel |
