Cameron Ogden

blog post author
With 13 years of management and leadership experience, Cameron Ogden has worked with industry-leading companies of all sizes and make-ups to improve business performance through successful enterprise Data solutions. Cameron has 11 years in technical and business consulting services with a track record of helping customers establish the link between the business and IT towards the contribution of global strategy and execution. Before joining DATUM, Cameron served as Director of ERP Solutions Engineering for Global IS Consulting companies and in Program Management for industry-leading companies in the Financial and Banking sector. Cameron now serves as the head of customer value enablement through DATUM's Information Value Management® platform and the lead for DATUM's solution engineering practice and Knowledge Specialist teams. When he is not working, Cameron is likely to be found on one of the many cycling trails around Richmond, Virginia or indulging in mint chocolate chip ice cream. Cameron has a BS from Virginia Tech.
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Recent Posts

Top 10 Artificial Intelligence Quotes (That Don't Predict the End of the World!)

View all posts on AI & Machine Learning
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Drones, driverless vehicles, Amazon robotics – it seems like wherever you turn there is news around artificial intelligence (AI) and theories of how it will profoundly change our world.

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What Does AI Mean for the Future of Data Governance and Big Data?

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This is part three of a three-part video series providing an easy introduction to artificial intelligence, machine learning and deep learning.  

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Can You Teach Machine Learning and Deep Learning in Less Than 12 Minutes?  We Think So.

View all posts on AI & Machine Learning
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This is part two of a three-part video series providing an easy introduction to artificial intelligence, machine learning and deep learning. 

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What Are Artificial Intelligence (AI), Machine Learning and Deep Learning? And What Do They Have to Do with Data Governance?

View all posts on AI & Machine Learning
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At DATUM, we regularly speak with companies, institutions and government agencies that are increasingly interested in how AI and Machine Learning will fit into their business and data strategy. There are a number of available resources that address the AI explosion, deliver promises for the future and speak to how AI will reshape the way we work and live. Despite those resources, people continue to struggle to find a good foundational overview - one meant for the non-technical audience - that outlines the basics of AI, Machine Learning, and Deep Learning. In particular, what does the field of AI mean for the future of data governance? And, how will the roles of governance professionals change in an increasingly automated world?

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How Board Games Answer: "What's Data Governance?"

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Are you trying to explain data governance to your family and friends? Think chess, checkers and monopoly.

One of my favorite teachers in grade school assigned the class a project to create a board game.  The task was simple in purpose but proved to be more challenging than how it appeared on the surface.  The challenge was not creating a unique or fun concept for a game, but rather to determine the rules for how the game should be played.  That aspect forced us to think about the outcomes we had envisioned within the game’s concept, and that the policies and structure would support (and not detract) from the game’s outcomes and overall fun factor.

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The Missing Ingredient in Data Governance Programs

View all posts on Data Governance & Stewardship
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One of the most influential factors of successful data governance programs regardless of shape, size and maturity is the ability to connect individual pockets of knowledge across the organization to build a greater sum of team discipline. More simply put, success comes down to how well we can assimilate our strengths as a team through collaboration and communication rather than operate as a collection of skilled individuals.

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When Building a Data Management Organization: Think "Lifestyle"

View all posts on Data Leadership
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A few months ago I was catching up with a friend of mine who makes a successful living as a residential architect and he was sharing with me a unique approach he takes with his customers...

“Most architects ask about the nuts and bolts of designing a home. They ask questions like, ‘How many bedrooms do you want? Do you want a garage?’ I don’t focus on the rooms and square feet. I focus on the lifestyle of the homeowner. Are they indoors or outdoors people? Are they social or introverted? Their responses tell me so much more about how the house than anything they could tell me about the ideal number of rooms or the floor plan. Simply put, I focus on the client’s lifestyle which in turn dictates the home’s demands the priorities of the design.”

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