Скачать или смотреть Knowledge Graph Enterprise Adoption Roundtable Summary | KnowCon2020 | Alquier, Atkin, Tung

The Enterprise Knowledge Graph Foundation (EKGF) and Knowledge Connexions are hosting an executive roundtable "Knowledge Graph adoption in the Enterprise".

The roundtable features perspectives from the fashion, supply chain, financial services, technology and healthcare industry sectors – and focuses on the business, cultural and ecosystem aspects of knowledge graph adoption.

This session is a summary of the roundtable conversation including our on-the-fly analysis of the implications. The Business Adoption Panel will explore what is required to overcome organizational inertia and facilitate change. The Implementation Panel will examine baseline use cases, collaboration requirements and the criteria for expectation management.

Industry leaders from Accenture, Johnson & Johnson, and the Enterprise Knowledge Graph Foundation dive deep into the transformative potential of knowledge graphs, exploring how these semantic technologies are revolutionizing enterprise data management.

Featuring Mike Atkin, Laurent Alquier and Teresa Tung.

The conversation reveals a critical shift from traditional data processing to a more nuanced, context-rich approach that prioritizes data meaning and reusability. Participants discuss how organizations are moving beyond experimental pilots to enterprise-wide implementations, driven by a growing recognition that data incongruence is a significant liability in today's data-driven business landscape.

The discussion unveils the key challenges of knowledge graph adoption:
Overcoming organizational inertia
Bridging technological gaps, and
Fundamentally changing mindsets about data representation.

Experts share insights into the importance of telling compelling stories about knowledge graphs, focusing on business value rather than technical complexity. They emphasize the need for incremental implementation, collaborative approaches, and the crucial role of knowledge engineers who can translate between technical capabilities and business needs.

We've arrived at a pivotal moment for enterprise knowledge graphs: the technology has matured, business leaders are increasingly receptive, and there's a growing understanding that these semantic technologies offer more than just another IT solution.

Knowledge graphs represent a fundamental reimagining of how organizations can capture, understand, and leverage their data—moving away from the myth of a single version of truth towards a more flexible, context-rich approach that allows multiple perspectives to coexist. For businesses looking to remain competitive in a data-driven world, the message is clear: the time to start building knowledge graphs is now.

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Michael Atkin has over 30 years of experience as a strategic analyst to financial institutions, regulators and market authorities on the principles, practices and operational realities of data management.

Dr Laurent Alquier's current role is to shape the architecture, design and development of J&J’s Knowledge Sharing ecosystem to further enable Emerging Technologies and Innovation management, Enterprise Architecture, and other IT strategic capabilities.

Teresa Tung is a Managing Director at Accenture Labs responsible for taking the best-of-breed next-generation architecture solutions from industry, start-ups, and academia, and for evaluating their impact on Accenture's clients through building experimental prototypes and delivering pioneering pilot engagements.

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