Services and Solutions

From data complexity to responsible practice. Data and AI create enormous opportunities and equally significant questions about governance, equity, accountability, readiness, and responsible use. DataedX Group® works with organizations to address those questions through strategic consulting and learning & development. Our work helps organizations connect the dots between people, data, technology, processes, practices, and policies.

How We Help

Strategic Consulting

Our consulting services focus on our clients’ most critical concerns around implementing data strategy and governance, establishing technology management and providing actionable Responsible AI and data use guidance. We bring our deep and practical expertise that bridges the computing and social sciences. Our innovative solutions centers human creativity while leveraging the valuable aspects of AI.
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Learning & Development

Our professional development services empower your teams to execute ethical implementations throughout the data and AI development lifecycles. Whether you’re an executive seeking leadership training opportunities or an ambitious team looking to expand your knowledge, we offer training in a variety of different formats, from singleton workshops to multi-part seminars. Available as in-person sessions, virtual sessions, and eLearning modules, each training is customized and delivered by us.

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Our Process

Item #0

Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.

Conduct a scope call to delve deeper into the client’s requirements and priorities, refining the roadmap for addressing identified data and responsible AI gaps.

Craft and tailor the data ethics literacy program. Iterate with client to ensure it meets the identified needs and aligns with the client’s objectives.

Request regular feedback to assess its effectiveness in enhancing understanding and delivering expected impact

Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.

Based on program delivery and feedback engagement, generate a new set of recommendations and collaboratively discuss ongoing needs and how they can be addressed through further collaboration, ensuring continuous improvement and alignment with evolving objectives.

Item #0

Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.

Conduct a scope call to delve deeper into the client’s requirements and priorities, refining the roadmap for addressing identified data and responsible AI gaps.

Craft and tailor the data ethics literacy program. Iterate with client to ensure it meets the identified needs and aligns with the client’s objectives.

Request regular feedback to assess its effectiveness in enhancing understanding and delivering expected impact.

Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.

Based on program delivery and feedback engagement, generate a new set of recommendations and collaboratively discuss ongoing needs and how they can be addressed through further collaboration, ensuring continuous improvement and alignment with evolving objectives.

Powered by UnAI-able®

Building the human capabilities behind responsible AI.

Some organizational challenges aren’t solved by another technology, policy, or tool.

They require people who can think critically, question intelligently, and act responsibly when AI and data become part of the decision-making process.

UnAI-able® is a DataEdX Group® platform that develops these human capabilities through learning experiences, workshops, practical frameworks, community dialogue, and organizational engagements.

Its three practice areas are:

AI Decision Integrity
Think clearly when AI is part of the decision.

Decision Intelligence Capability Building
Build the human capabilities for the AI era.

Responsible AI Practice
Know how to act responsibly when AI becomes part of everyday life and work.

Explore the UnAI-able® Practice Areas
Item #0

Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.

Conduct a scope call to delve deeper into the client’s requirements and priorities, refining the roadmap for addressing identified data and responsible AI gaps.

Craft and tailor the data ethics literacy program. Iterate with client to ensure it meets the identified needs and aligns with the client’s objectives.

Request regular feedback to assess its effectiveness in enhancing understanding and delivering expected impact.

Begin with a preliminary questionnaire to understand the client’s data and responsible AI understanding, pain points and desired outcomes.

Based on program delivery and feedback engagement, generate a new set of recommendations and collaboratively discuss ongoing needs and how they can be addressed through further collaboration, ensuring continuous improvement and alignment with evolving objectives.

Case Studies

Case Study

Portland Community College AI Symposium

Unlocking the power of Artificial Intelligence in Education, Industry & Everyday Life.

Needs

  • PCC identified the need to address AI’s significance and sought a keynote speaker for comprehensive education.
  • The objective was to provide clear insights into AI’s definition, implications, and historical context.
  • Effective communication to a diverse audience with varying familiarity levels was crucial for knowledge dissemination.

Delivery

  • 120 Minute Keynote address that simplified complex AI concepts, making them accessible to all.
  • Illustrated the evolution of AI with relatable examples and historical references.
  • Audience deepened their understanding of the data-AI skills gap  through engaging  discussions and questions.

Outcomes

  • Dr. Marshall’s keynote revolutionized AI perceptions and inspired ongoing initiatives at PCC.
  • Attendees left enlightened and driven which resulted in continuing sparking transformative discussions.
  • Dr. Brandeis’s book galvanized research and helped foster a culture of Responsible AI integration at PCC.

Case Study

General Services Administration Equity Study

Evaluating equity in remote identity proofing solutions

Needs

  • GSA identified a need for a culturally competent data scholar to help them achieve their equitable access goals.
  • The objective was to help the team interpret the vendor’s performance and identity verification capabilities.
  • An external perspective on assessing the data gaps in the forgery and similarity fraud scenarios across pre-determined demographics. 

Delivery

  • Weekly meeting attendance to review and collaborative discuss newly process vendors’ results.
  • Illustrated the considerations, pain points and implications between statistical errors and societal biases.
  • Shared feedback, recommendations and resources centering data equity strategies.

Outcomes

  • Dr. Marshall’s guidance helped standardize data collection and documentation processes.
  • The GSA team was better equipped to distinguish amongst algorithmic errors, network errors and bias across demographic groups.
  • Dr. Marshall and the GSA team are contributing to facial verification research  through public scholarship dissemination.

Get in Touch

“Reach out—we’re here to listen!”