Lulit Tesfaye, a Partner and Director for Enterprise Knowledge’s Data and Information Management Division, will be speaking at the

Lulit will discuss how foundational knowledge management and knowledge engineering approaches can play a key role in ensuring enterprise Artificial Intelligence (AI) initiatives start right, quickly demonstrate business value, and “stick” within the organization. The session will be held under the Knowledge First Track Breakout and will be anchored around real world case studies and examples of how organizations are approaching their data and AI transformations through knowledge maturity models to translate organizational information and data into actionable and clickable solutions. 

The presentation will be followed up by a breakout panel discussion with the presenters for deeper dive conversations and to discuss questions from the audience. 

About the data.world and the Summit

data.world is the enterprise data catalog for the modern data stack. The cloud-native SaaS platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. The spring summit experience is intended to be a fast moving, highly educational virtual conference that provide multiple breakout tracks including the Knowledge First track, Practitioner’s Paradise for a more technical discussion for practitioners, and Open Data For the Win track to showcase the transformative power of open data in society, public projects, journalism, and the enterprise.

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The discussion will be hosted by Scott Abel, Founder and CEO, known affectionately as “The Content Wrangler.” Abel is an internationally recognized intelligent content strategist and cognitive computing evangelist who specializes in helping organizations deliver the right content to the right audience, anywhere, anytime, on any device. He is the co-author of Intelligent Content: A Primer and The Language of Content Strategy (XML Press). He co-produces Information Development World Conferences, produces a popular series of content strategy books, and is the host of the San Francisco Content Strategy Content Marketing Professionals Meetup. 

During the discussion, participants will discover how knowledge graphs can help you deliver the right product content to the right consumers at the right time, in the desired format and language. Learn more and sign up here. 

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On Wednesday the 27th, EK’s Holly Maykow, Senior Data Specialist, and Fernando Aguilar, Senior Data Scientist, will deliver a presentation titled Customer 360 and its Applications, a Case Study. This presentation will discuss a case study on how an identity graph represents a comprehensive view of a consumer, giving a global company a 360-degree view of their customers, attributes, and key business insights. Key topics of the talk will include how to define a customer identity graph as well as the requirements for building one. Common challenges and roadblocks to consider before and during identity graph implementation will also be explored.

Also on Wednesday, Joe Hilger, EK COO, will serve as a panelist on the closing presentation of the conference, Delivering and Scaling Knowledge Graph Solutions. Joe will be joined by Robert Engels, VP CTO Europe I&D at Capgemini, Carlos Alberto, Data Protection Officer at Fujitsu, and Vassil Momtchev, CTO of Ontotext. The panelists will cover topics including real world knowledge graph use cases, deployment patterns, and technology ecosystems for graph databases. The session will be moderated by Juan Sequeda of data.world as a special edition of the Catalog and Cocktails podcast.

The virtual conference will provide opportunities to connect with fellow professionals and entrepreneurs, learn from experts across two main tracks, and get an overview of the market and technology trends from industry leaders.

Learn more and register for the forum here.

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Enterprise Knowledge (EK), the world’s largest dedicated knowledge and information management consulting firm, announced the launch of the Knowledge Graph Accelerator today, a mechanism to establish an organization’s first knowledge graph solution in a matter of weeks. In partnership with data.world, the knowledge graph-based enterprise data catalog, organizations will be able to rapidly unlock use cases such as Employee, Product, and Customer 360, Advanced Analytics, and Natural Language Search. 

“Knowledge Graphs are a critical component necessary to achieve Enterprise AI, but most organizations need a quick and scalable way to understand and experience the value,” said Lulit Tesfaye, Practice Lead of Data and Information Management at EK. “EK, in partnership with data.world, is creating a holistic solution to make building Enterprise AI intuitive using knowledge graphs, from data modeling and storage to enrichment and governance. Having this end-to-end consistency is critical for the success of knowledge graph products and setting the foundations for Enterprise AI.”

“EK has been at the leading edge of Knowledge Graph strategy, design, and implementation since our inception,” added Zach Wahl, CEO of EK. “Our thought leadership in this field, combined with data.world’s advanced capabilities, creates an exciting opportunity for organizations to feel the impact and realize the benefits quickly and meaningfully.”

Gartner predicts that graph technologies will be leveraged in over 80% of innovations in data and analytics by 2025, but many organizations find the business and technical complexities of graph design and implementation to be daunting. The Knowledge Graph Accelerator addresses the need to develop a practical, standards-based roadmap and prototype to quickly realize the potential of knowledge graphs. 

Through the Knowledge Graph Accelerator, organizations will get the following outcomes in less than 2 months:

• An understanding of the foundations of knowledge graphs, including graph data modeling, data mapping, and data management;
• A first implementable version (FIV) knowledge graph that can be scaled and enhanced;
• A pilot version of your graph solution leveraging the knowledge graph-based data management solution data.world and gra.fo; and
• A strategy for your organization to make Enterprise AI a reality. 

“Enterprises need to understand and trust the data powering their analytics while generating meaningful insights. But supporting different data sources and use cases, while analyzing and traversing changes to metadata and automating relationships can be challenging,” said Dr. Juan Sequeda, Principal Scientist at data.world. “Knowledge graphs are foundational for an effective and future proof data catalog, as well for next generation AI and analytics .”

To learn more, explore our approach and what your organization will get through the Knowledge Graph Accelerator. Also, reach out to Enterprise Knowledge to learn how to unlock the use cases that are most valuable to your enterprise. 

On September 29th, 2021,  Enterprise Knowledge will participate in the virtual data.world fall summit. Additional keynote speakers include Zhamak Dehghani, Barr Moses, Doug Laney, and Jon Loyens. 

About Enterprise Knowledge 

Enterprise Knowledge (EK) is a services firm that integrates Knowledge Management, Information and Data Management, Information Technology, and Agile Approaches to deliver comprehensive solutions. Our mission is to form true partnerships with our clients, listening and collaborating to create tailored, practical, and results-oriented solutions that enable them to thrive and adapt to changing needs. At the heart of these services, we always focus on working alongside our clients to understand their needs, ensuring we can provide practical and achievable solutions on an iterative, ongoing basis. Visit enterprise-knowledge.com to see how optimizing your knowledge and data management will impact your organization.  

About data.world

data.world is the enterprise data catalog for the modern data stack. Our cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than 1.3 million members, including 2/3 of the Fortune 500. Our company has 40 patents and has been named one of Austin’s Best Places to Work six years in a row. Follow us on LinkedIn, Twitter, and Facebook, or join us.

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