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Make Data Work
29 April–2 May 2019
London, UK
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Executive Briefing: Using a domain knowledge graph to manage AI at scale

Teresa Tung (Accenture), Jean-Luc Chatelain (Accenture)
17:25–18:05 Wednesday, 1 May 2019
Executive Briefing and best practices, Strata Business Summit
 Location: Capital Suite 13
Secondary topics:  AI and machine learning in the enterprise, Financial Services, Graph technologies and analytics
Average rating: **...
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Who is this presentation for?

  • Those managing an organization moving from AI PoCs to more reuse

Level

Beginner

Prerequisite knowledge

  • Experience with developing an AI project

What you'll learn

  • Explore knowledge graphs and see how they are used at Accenture

Description

Most of today’s AI is narrow and fit for purpose, and we do not reuse the lessons learned across use cases. Even where we might reapply the same techniques, in each implementation AI practitioners retune those techniques anew. Indeed, much of the work is specific to the particulars of the available data and use case. But many times, the questions and the techniques are the same (e.g., to predict failure, to prescribe the bill of materials or work plan, or to advise users via virtual agents).

Teresa Tung and Jean-Luc Chatelain describe the technology and organizational ways of working being applied across Accenture that creates a framework for the reapplication of knowledge, automated application of the techniques, and self-learning to optimize—meaning we can reuse AI knowledge and configurations across use cases and across clients.

At the heart of this solution is domain knowledge—the technology proven to scale with internet search—to capture domain-specific particulars. The knowledge graph is the structure that encapsulates the human knowledge of an industry domain and captures the lessons learned.

Teresa and Jean-Luc explain how domain knowledge graphs can bring the same democratized experience to enterprise AI, allowing for bootstrapping the AI system to reason about what can be reused and how and for self-learning what works and what doesn’t. They then explore other applications of knowledge graphs in oil and gas, financial services, and enterprise IT.

Photo of Teresa Tung

Teresa Tung

Accenture

Teresa Tung is a managing director at Accenture, where she’s responsible for taking the best-of-breed next-generation software architecture solutions from industry, startups, and academia and evaluating their impact on Accenture’s clients through building experimental prototypes and delivering pioneering pilot engagements. Teresa leads R&D on platform architecture for the internet of things and works on real-time streaming analytics, semantic modeling, data virtualization, and infrastructure automation for Accenture’s Applied Intelligence Platform. Teresa is Accenture’s most prolific inventor with 170+ patent and applications. She holds a PhD in electrical engineering and computer science from the University of California, Berkeley.

Photo of Jean-Luc Chatelain

Jean-Luc Chatelain

Accenture

Jean-Luc Chatelain is a managing director for Accenture Digital and the CTO for Accenture Applied Intelligence, where he focuses on helping Accenture customers become information-powered enterprises by architecting state-of-the-art big data solutions. Previously, Jean-Luc was the executive vice president of strategy and technology for DataDirect Networks Inc. (DDN), the world’s largest privately held big data storage company, where he led the company’s R&D efforts and was responsible for corporate and technology strategy; a Hewlett-Packard fellow and vice president and CTO of information optimization responsible for leading HP’s information management and business analytics strategy; founder and CTO of Persist Technologies (acquired by HP), a leader in hyperscale grid storage and archiving solutions whose technology is the basis of the HP Information Archiving Platform IAP; and CTO and senior vice president of strategic corporate development at Zantaz, a leading service provider of information archiving solutions for the financial industry, where he played an instrumental role in the development of the company’s services and raised millions of dollars in capital for international expansion. He has been a board member of DDN since 2007. Jean-Luc studied computer science and electrical engineering in France and business at Emory University’s Goizueta Executive Business School. He is bilingual in French and English and has also studied Russian and classical Greek.