Abstract AI is generating new business opportunities in every industry imaginable, and it will continue to provide ground-breaking solutions to make life safer, and more efficient. While these technology advancements may solve some of the world’s most difficult problems, they also raise concerns about fairness, discrimination, digital injustice, and bias. In this keynote, we will … Read More
Abstract Our world is changing. Artificial intelligence is being employed in just about all walks of life – from virtual assistants to self-driving cars. How do we ensure the quality of these applications? Major advances have been made in developing applications that utilize some form of artificial intelligence, but there’s not nearly as much consideration … Read More
Tracey Welson-Rossman sits down with Sowmya Gottipati, VP of Estee Lauder, Global Brand Technology, to talk about the iconic beauty brand’s innovations in AR & AI.
A Chariot team led by Eric Snyder migrates a local media giant’s data to the Amazon Web Services cloud.
Abstract What exactly is a Neural Network? How do you go from experimenting with a deep learning model in the notebook of your choice to deploying your model to production? What is the secret sauce to a successful feature or platform that utilizes “AI” to accomplish the business goals or needs of your platform? And … Read More
Abstract I’d like to introduce you to this new, 60 year old, kid on the block: “Machine Learning”. Some math + some stats, but mostly “what”s, “why”s and “how”s of different problems it solves, and of course some code, since that’s what machines speak best. While we’ll ride along with mouthfuls such as “stochastic gradient … Read More
In the last decade, a class of machine learning algorithms popularly know as “deep learning” have produced state-of-the-art results on a wide variety of domains, including image recognition, speech recognition, natural language processing, genome sequencing, and financial data among others. What is deep learning? Why has it become so popular so quickly? How can one fit deep learning into existing pipelines?
