Schedule: Sponsored sessions

Erika Menezes and Serina Kaye share a data science process for music synthesis, including preprocessing, model architecture, training, and prediction, using Microsoft’s Azure Machine Learning. Read more.

AI will change—and in some ways already is changing—the way we work, live, and play at a scale the world has never experienced. Join Tatiana Mejia to see how marketers, designers, and creative professionals can gain huge benefits in productivity, content scale, and workflow efficiencies while unleashing expanded career opportunities for workers in these industries. Read more.

Amazon SageMaker is a fully managed machine learning platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models in the cloud, at any scale. Randall Hunt offers an overview of SageMaker and demonstrates an end-to-end machine learning workflow by building an ML-powered Twitter bot that you can interact with in real time. Read more.

Daniel Raskin and Jonathan Greenberg explain what the extreme data economy is about and how machine learning advances along with accelerated parallel computing will play a key role in translating data into instant insight to power business in motion. Read more.

Indigenous trackers all over the world can look at a single footprint in the dirt and intuitively know what animal species that print belongs to. Mary Beth Ainsworth explains how biologists, zoologists, machine learning and computer vision experts have come together to develop, automate, and scale a noninvasive approach to monitoring endangered wildlife by analyzing where animals have walked. Read more.

Analytic techniques leveraging artificial intelligence can result in dramatic improvements in crime detection and interdiction across diverse attack modalities. Will Griffith and Ben MacKenzie share AI models and operational techniques they’ve used with major banking clients to substantially strengthen and accelerate their responses to criminal attacks. Read more.

AI has already begun to demonstrate its value in large enterprises, even outside of Silicon Valley and other West Coast digital giants. Fortune 500 companies in industries like finance, manufacturing, travel, transportation, and pharmaceuticals have begun to leverage its power. Chad Meley shares insights from real-world client engagements using deep learning. Read more.

Over the last five years, AI has become more capable thanks to the availability of data, algorithms, and models. Companies are exploring ways to leverage these advances, and soon AI technology will touch every industry worldwide. Dario Gil explores the challenges faced by companies building AI solutions for enterprise applications and areas of research required to drive this field forward. Read more.

Do you have constantly changing business environments across many business units and processes with multiple job schedulers and infrastructure platforms and struggle with end-to-end visibility and a lot of alerts? Award-winning ignio can help. Drawing on real-world examples, Jayanti Murty explains how ignio can reduce operational risks and outages, enabling you to more quickly adapt to change. Read more.

Is your enterprise striving to build AI applications that produce transformative business value? Stephen Piron shares real-world examples of AI applications that are evolving the way enterprises work from the ground up as well as a framework for enterprise leaders to use to ensure their team’s AI initiatives lay the foundation for genuine business impact. Read more.

Drew Hodun explores the progress Google is making to decrease the amount of work needed to go from "zero to AI." Read more.

Brian Ray unveils the secrets behind the execution of Deloitte's framework for AI summarized in "Artificial Intelligence for the Real World," recently published in the January–February 2018 issue of Harvard Business Review. Join in to learn how to go from data to delivering real and measurable predictive value. Read more.

Marc Nehme demonstrates how you can quickly and easily use Watson with CRM solutions like Salesforce and cloud storage solutions like Box to improve and enhance your business processes. Read more.