From Data-To Learning- To Action: 2019 ATD Houston Tech Conference Speaker, Steven Flinn
ATD Houston 2019 Tech Conference Speaker Steven Flinn shares the concept of Data-To Learning-To Action: Minds and Machine, and why you should register for the conference at tdhouston.org
Join Steven Flinn at the ATD Houston 2019 Tech Conference - Transform Learning - in Houston, TX on May 2, 2019.
DATA-TO-LEARNING-TO-ACTION: MINDS AND MACHINES
It’s the universal process--birds do it, we do it, even educated machines now do it! And organizations need to do it better. The “it” is data-to-learning-to-action. Whether people or machine-based, learning is most fundamentally the process for better predicting. And actionable learning is learning that affects decisions and has tangible value that can be quantified. Identifying and resolving constraints on actionable learning within an organization’s data-to-learning-to-action processes is therefore the path to peak performance.
DATA-TO-LEARNING-TO-ACTION: MINDS AND MACHINES
It’s the universal process--birds do it, we do it, even educated machines now do it! And organizations need to do it better. The “it” is data-to-learning-to-action. Whether people or machine-based, learning is most fundamentally the process for better predicting. And actionable learning is learning that affects decisions and has tangible value that can be quantified. Identifying and resolving constraints on actionable learning within an organization’s data-to-learning-to-action processes is therefore the path to peak performance.
Speaker: Steven Flinn is an author, inventor and founder and CEO of ManyWorlds, Inc., which is a pioneer of machine learning-based solutions for enterprises and he is also currently acting CTO of a high-profile machine learning-based start-up in the consumer space. Mr. Flinn has been awarded nearly 50 patents for his inventions in the field of machine learning and its applications. He also has extensive consulting experience at the intersection of strategy, decision science, and technology with Global 1000 enterprises, as well as selected high-impact start-ups.
He is the author of the recent book, Optimizing Data-to-Learning-to-Action (Springer Nature Apress 2018), which demonstrates how businesses can achieve peak performance through targeted enhancements in learning, including through application of machine learning. He is also the author of the best-selling book, The Learning Layer (Palgrave Macmillan 2010), which predicted, and established the imperative for, applying machine learning-based capabilities in the enterprise. Prior to ManyWorlds, he was a Chief Information Officer and Vice President of Strategy at Royal Dutch Shell. His formal education includes graduate degrees from Northwestern University’s Kellogg School of Business and Stanford University’s School of Engineering.