TechTalks With Tom Smith: Search + AI = Connection

Tom Smith talking abut AI

TechTalks With Tom Smith

There were thought-provoking opening keynotes and a roundtable discussion at the Activate Search and AI Conference on Wednesday, September 11, 2019. Will Hayes, CEO, Lucidworks provided the keynote address in which he talked about all of the fear, uncertainty, and doubt around AI and how it’s portrayed by the media and interpreted by non-IT professionals.

Will then went on to highlight the practical applications of AI. He believes search is the best way to unlock value from the world’s data and sees great value in using AI to capture a user’s intent to delight and deliver better experiences.

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To be successful, companies need to think about how to be successful with initiatives and data and how to capture moments based on the data a user/customer provides. Ultimately it’s about making people’s lives simpler and easier. Lyft and Uber have done this by addressing planning, logistics, and cartography issues. Lululemon is providing a seamless experience between digital and brick-and-mortar channels since people in stores can understand the context that machines will never be able to grasp. Reddit is distilling the entire internet into a single digital experience by mastering data.

Search + AI = connections by leveraging expertise, informing customers, and understanding intent. It’s hard but customers don’t care, they want you to read my mind, understand my intent, my wants, and my needs. Deliver an outcome that maps to what people want and need.

The same expectations are in the digital workplace. Your employees want to be able to find experts, locate information, and discover insights to help make me more productive. It’s incumbent upon employers today to deliver information and experiences in ways that inspire, promote creativity and collaboration.

Making data experiences personal is hard. It involves search, information, predictions, and DevOps. There are four stages of application maturity to achieve this: 1) operationalizing data; 2) refining relevance; 3)  relevance; 3) personalizing results; and, 4) predicting intent.

Before introducing the members of the roundtable, Will announced the availability of Fusion 5.0 to enable the development and deployment of AI-powered search and data discovery in a Kubernetes-based containerized architecture. 

Will then moderated a panel discussion, The Many Faces of Digital Transformation, Through the Prism of Search and AI with Daisy Urfer, Partner Alliance Manager, OnixJuan Paul Ramirez, CTO, Goop, Jon Gifford, Senior Staff Engineer, Reddit, Jeff Ely, Director, Chief Product Owner, Employee Experience, Intel, and Ted Borroum, Executive Director, Morgan Stanley

All of these executives are charged with search at their organizations. Some are focused on end-user customers (EUC) while others are more concerned with internal customers — employees. All are trying to provide the most relevant information for the user, balancing utility and value with privacy and security. While users want a “Google-like” search experience, there’s a need to balance personalization with being creepy.

Customers and employees are incredibly innovative and providing the right information to help them be more. This involves understanding the problem they are trying to solve. AI-driven search will build trust by consistently providing a good experience, providing dynamic results based on the person asking for information, and ultimately knowing what information people want, before they do.

Further Reading

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This UrIoTNews article is syndicated fromDzone