Drawing from multiple client engagements across sectors, Tesfaye and DeMay shared patterns and lessons learned from initiatives where KM, Data Management, and AI teams are working together to create a more connected and intelligent enterprise. They highlighted the growing need for integrated strategies that bring together semantic modeling, content management, and metadata governance to enable intelligent automation and more effective knowledge discovery.

The presentation emphasized how KM professionals can lead the way in designing sustainable semantic architectures, building cross-functional partnerships, and aligning programs with organizational priorities and AI investments. Presenters also explored how roles are shifting from traditional content stewards to strategic enablers of enterprise intelligence.

Session attendees walked away with:

• Insight into how KM roles are expanding to meet enterprise-wide data and AI needs;
• Examples of how semantic layers can enhance findability, improve reuse, and enable automation;
• Lessons from organizations integrating KM, Data Governance, and AI programs; and
• Practical approaches to designing cross-functional operating models and governance structures that scale.

The post The Evolution of Knowledge Management & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer appeared first on Enterprise Knowledge.

In this presentation, Hilger and Thompson explored the evolving challenges of securing data in an era of exponential growth, cloud adoption, and increasing cyber threats, starting with the limitations of traditional perimeter-based security approaches and the need for scalable, automated solutions. They introduced key modern security strategies – including zero trust architecture, data-centric security, and AI/ML-driven threat detection – to help organizations enhance their data protection. The session also covered shadow/dark data discovery and data classification techniques to mitigate risks and improve security posture.

By the end of the session, attendees gained insight into:

• The limitations of traditional perimeter-based security and why modernization is necessary
• Zero trust architecture and how it strengthens security through strict identity verification
• Data-centric security strategies to protect data throughout its lifecycle
• The role of AI/ML in detecting threats and automating security decisions
• Techniques for discovering and classifying shadow/dark data to close security gaps
• Actionable strategies for implementing scalable, future-proof data security frameworks

The post Modern Methods for Managing Data Security appeared first on Enterprise Knowledge.

This infographic serves as your roadmap to understanding and uncovering dark data within your organization, showcasing practical interventions to secure and capitalize on your most underutilized assets. At Enterprise Knowledge, we specialize in transforming complex data landscapes into structured, actionable intelligence. If you’re ready to enhance your data management strategies and mitigate risks associated with dark data, reach out to our experts today for tailored solutions that empower your data governance efforts. 

For information on dark data discovery, explore this infographic on Unlocking Dark Data: AI Strategies for Enhanced Data Governance.

The post How Data Becomes Dark appeared first on Enterprise Knowledge.

In this engaging session, Nozari and Majumder explored the challenges and opportunities presented by the rapid evolution of Large Language Models (LLMs) and the exponential growth of unstructured data within enterprises. They also addressed the critical intersection of technology and data governance necessary for managing AI responsibly in an era dominated by data breaches and privacy concerns. 

Check out the presentation below to learn more about: 

• A comprehensive framework to define and identify dark data
• Innovative AI solutions to secure data effectively
• Actionable insights to help organizations enhance data privacy and achieve regulatory compliance within the AI-driven data ecosystem

The post Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality appeared first on Enterprise Knowledge.

Joe Hilger, EK’s COO and co-founder, and Lulit Tesfaye, Partner and VP for Knowledge & Data Services, will jointly present “Top Graph Use Cases and Applications for Enterprise Data Management” on Wednesday afternoon. This presentation describes real world case studies across a wide range of industries for enterprise graph implementations and lessons learned from our work on over 50 data solutions and graph delivery projects.

Joe Hilger and Ian Thompson, Solutions Architect and Data Engineer, will jointly present “Modern Methods for Data Security” on Wednesday afternoon. In this presentation, they will explore the latest methods to automate and scale data security for the enterprise and will explain how these new methods are implemented in the environments they work best.

Urmi Majumder, Principal Solutions Architect, and Maryam Nozari, Senior Data Scientist, will jointly present “Preventing Accidental Data Leaks Using LLMs” on Tuesday afternoon. In this talk, they will present a solution architecture that integrates AI-driven data classification, robust access controls, and compliance mechanisms. This approach enhances data security, ensures AI compliance, and streamlines sensitive data management while boosting operational efficiency and risk mitigation.

Additionally, EK will be a sponsor of the event with an exhibit booth, where you can meet the EK speakers, EK Partner Manager Benoit Gaussin, and Senior Consultant Thomas Mitrevski.

CDOIQ is the longest running data leadership conference. Its purpose is to advance knowledge and accelerate the adoption of the Chief Data Officer (CDO) role in all industries and geographical countries. The event will explore delivering mature data and analytics capabilities for ROI.

See the full program here and register today. If you cannot be there in-person, the conference will also be live-streamed for half the price of onsite registration.

The post EK’s Hilger, Tesfaye, Thompson, Majumder, and Nozari to Speak at the CDOIQ Symposium appeared first on Enterprise Knowledge.

In this engaging session, Maryam and Urmi will explore the challenges and opportunities presented by the rapid evolution of Large Language Models (LLMs) and the exponential growth of unstructured data within enterprises. They will address the critical intersection of technology and data governance necessary for managing AI responsibly in an era dominated by data breaches and privacy concerns. Attendees will learn about a comprehensive framework to define and identify dark data, understand its risks, and utilize innovative AI solutions to secure data effectively. The session will provide actionable insights to help organizations enhance data privacy and achieve regulatory compliance within the AI-driven data ecosystem. 

About The Data Governance & Information Quality Conference 

DGIQ is the world’s most comprehensive event dedicated entirely to Data Governance and Information Quality. Whether you are a newcomer or an experienced data professional, DGIQ offers a compelling agenda full of informative sessions and tutorials for all levels of experience. As an attendee, you can choose from 14 tutorials and workshops, several one- and two-day seminars, and many general conference sessions and case studies addressing important topics in Data Governance. 

The post Maryam Nozari and Urmi Majumder Speaking at the Data Governance & Information Quality Conference (DGIQ) appeared first on Enterprise Knowledge.

If your organization is seeking innovative ways to enhance data governance and mitigate the risk of dark data, EK is here to guide you. With extensive expertise in crafting and deploying strategies that refine how you manage and utilize your data, we are ready to provide you with tailored, actionable insights.  

For a customized consultation and to learn more about how we can assist you, check out our Enterprise AI Services and contact us for more information!

The post Unlocking Dark Data: AI Strategies for Enhanced Data Governance appeared first on Enterprise Knowledge.