AI is already ubiquitous in daily life, performing many small tasks that we now take for granted, from helping tag our friends in photos to helping us remember to get milk when we're ordering groceries online. In fact, early enterprise AI adopters are demonstrating these early high-impact business outcomes in narrow, well-defined use cases. Most organizations are still trying to understand where best to apply AI and concerned with the feasibility of taking on an AI initiative. Join this O'Reilly webcast for a discussion of the current state of AI within large enterprises, and a look at the trends that will shape their future architectures. Chad understands trends in the analytics and big data space, and leads a team of technology specialists who interpret the needs and expectations of customers while also working with Teradata Labs engineers, consulting teams and technology partners.

Machine Learning is not new, but its application across memory-optimized distributed systems has led to an explosion in both the number and capability of its uses. Pandora develops personalized content recommendations with machine learning algorithms, Tesla has produced the first widely distributed autonomous vehicle, and Amazon uses autonomous robots to move packages within its warehouses and even deliver packages. When coupled with real-time data, advanced analytics approaches like machine learning and deep learning create immediate business opportunities. Machine learning has never been more accessible--if your data pipelines support real-time analysis. Attendees will learn tools and techniques for integrating machine learning models across industries and organizations.

Machine learning is in the midst a renaissance. Technical advancements in machine learning are enabling a broad assortment of new possibilities for designers to better engage with and understand users. Yet, these technologies also bring new challenges and require new ways of thinking about the design of user interfaces and interactions. Using intuitive analogies and tangible examples, Patrick Hebron offers an introduction to contemporary machine-learning systems and explores how these emerging capabilities will transform the next generation of computing interfaces, such as search engines, intelligent assistants, connected homes, and open-world video games. This webcast is intended for user interface and user experience designers as well as anyone interested in how recent advancements in machine learning can radically enhance software capabilities through natural language processing, image recognition, content personalization, and behavior prediction.