We’re excited to partner with Domino Data Lab and invite you to join surgeon and author, Atul Gawande, and J&J’s Chief Data Science Officer, Najat Khan, for a free event on driving exceptional performance
In some domains, good enough isn’t good enough; exceptional performance is required every time.
Doctors know this situation well, as every decision they make can have life-altering consequences.
Increasingly, data science is one of these fields. It’s a discipline in which small differences in performance can have a massive impact. Slight modeling improvements can drive millions of dollars of incremental revenue. Small mistakes can result in colossal losses.
Join Domino Data Lab for a special virtual event on January 26 to learn how to unleash exceptional performance through continuous improvement in 2022.
Here’s a sneak peek at the speaker line-up:
🩺 Atul Gawande, one of the most influential voices in healthcare
A renowned surgeon, bestselling author, and performance improvement expert, Dr. Gawande will share his insights from years of driving continuous improvement inside hospitals. You’ll learn how coaching, checklists, and best practices can power exceptional performance.
🧬 Najat Khan, Chief Data Science Officer at Johnson & Johnson
Najat Khan will share her perspective on continuous improvement at the intersection of medical research and data science. In her transformative role leading data science at Johnson & Johnson, Dr. Khan will bring frontline insights at a time when the work of teams like hers is benefitting billions of people around the world.
🤖 Nick Elprin, CEO of Domino Data Lab
Nick Elprin will bring lessons from Atul Gawande and Najat Khan together and connect them to data science and the concept of model velocity. Maximizing model velocity means achieving near-continuous performance improvement in a model-driven business.
To support companies looking to accelerate model velocity, Elprin will also reveal Domino 5.0, a major step forward in Domino’s mission to help businesses unleash the power of data science.
Join us to kick off 2022 on a path to exceptional performance.