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Exploring Complexity

How Graph Data Science is pushing new boundaries 

Watch the full recording of the discussion with Paco Nathan, Managing Partner of Derwen Inc., Dan McCreary, Distinguished Engineer from Optum and Dr.  Alessandro Negro, Chief Scientist at GraphAware.

The Panel

We live in a connected world where decisions and predictions about how best to operate need to take multiple factors and relationships into account. While much is being made of traditional AI and ML approaches, Graph Data Science is shaping up to become a greater key contributor to the toolbox of being able to explore and unlock more insights and accurate predictions for highly complex cases. There have also been a number of innovations over the last decade or so, and more so recently, which continues to further push new boundaries. This is what our panel will look to dive into and explore.

Joining us in this discussion is Paco Nathan, Lead OSS Committer, Advisor on AI/Data Science/Graph and Managing Partner at Derwen Inc., Dan McCreary, Distinguished Engineer from Optum, and Dr. Alessandro Negro, Chief Scientist at GraphAware .

Known as a “player/coach”, with core expertise in data sciencecloud computingnatural languagegraph technologies; ~40 years tech industry experience, ranging from Bell Labs to early-stage start-ups. Advisor for Amplify PartnersRecognaiKUNGFU.AI. Lead committer PyTextRankkglab. Formerly: Director, Community Evangelism @ Databricks and Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise.

Paco Nathan

Managing Partner | Derwen Inc.
Dan McCreary is a Distinguished Engineer working for the Optum Advanced Technology Collaborative.  He helps businesses within UnitedHeathGroup (Fortune 6) evaluate advanced technologies including AI, Graph and NoSQL.  Dan has a background in solution architecture, search, machine learning, and NLP.  He is the co-author of the book “Making Sense of NoSQL” and was the co-founder of the Dataversity NoSQL Now! series of conferences.  His current research is helping organization evaluate the cost-effectiveness of migrating from relational to graph databases.  In the past Dan worked for Steve Jobs at NeXT computer and Bell Labs as an integrated circuit designer.

Dan McCreary

Distinguished Engineer | Optum

Dr. Alessandro Negro is immensely passionate about computer science, data research & specializes in natural language processing, recommendation engines, fraud detection, and graph-aided search.

After pursuing Computer Engineering academically & working in various capacities in the domain, he pursued a Ph.D in Interdisciplinary Science and Technology. With his interest in graph databases peaking, he founded a company called Reco4 which was an open-source project developing a recommendation framework based on graph data sources.

Now, he is Chief Scientist at GraphAware. With clients such as LinkedIn, World Economic Forum, European Space Agency, and Bank of America, GraphAware is singularly focused on helping clients gain a competitive edge by transforming their data into searchable, understandable & actionable knowledge. He spends his time leading research for Hume – GraphAware Knowledge Graph platform -, speaking at various conferences around the world and working on the next book.

Dr. Alessandro Negro

Chief Scientist | GraphAware

Paco Nathan is known as a “player/coach”, with core expertise in data sciencecloud computingnatural languagegraph technologies; ~40 years tech industry experience, ranging from Bell Labs to early-stage start-ups. Advisor for Amplify PartnersRecognaiKUNGFU.AI. Lead committer PyTextRankkglab. Formerly: Director, Community Evangelism @ Databricks and Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise.

Dan McCreary is a Distinguished Engineer working for the Optum Advanced Technology Collaborative.  He helps businesses within UnitedHeathGroup (Fortune 6) evaluate advanced technologies including AI, Graph and NoSQL.  Dan has a background in solution architecture, search, machine learning, and NLP.  He is the co-author of the book “Making Sense of NoSQL” and was the co-founder of the Dataversity NoSQL Now! series of conferences.  His current research is helping organization evaluate the cost-effectiveness of migrating from relational to graph databases.  In the past Dan worked for Steve Jobs at NeXT computer and Bell Labs as an integrated circuit designer.

 

Dr. Alessandro Negro is immensely passionate about computer science, data research & specializes in natural language processing, recommendation engines, fraud detection, and graph-aided search.

After pursuing Computer Engineering academically & working in various capacities in the domain, he pursued a Ph.D in Interdisciplinary Science and Technology. With his interest in graph databases peaking, he founded a company called Reco4 which was an open-source project developing a recommendation framework based on graph data sources.

Now, he is Chief Scientist at GraphAware. With clients such as LinkedIn, World Economic Forum, European Space Agency, and Bank of America, GraphAware is singularly focused on helping clients gain a competitive edge by transforming their data into searchable, understandable & actionable knowledge. He spends his time leading research for Hume – GraphAware Knowledge Graph platform -, speaking at various conferences around the world and working on the next book.

Paco Nathan

Managing Partner | Derwen Inc.

Dan McCreary

Distinguished Engineer | Optum

Dr. Alessandro Negro

Chief Scientist | GraphAware

Hosted By

Nicki Watt

CEO/CTO | OpenCredo

Nicki is the Chief Technology Officer at OpenCredo responsible for the overall direction and leadership of technical engagements. A techie at heart, her core expertise lies in problem solving and enabling pragmatic, practical solutions. She has worn many hats which has included the development, delivery and leading of large scale platform and application development projects. Nicki is a regular speaker at conferences and also co-author of the graph database book Neo4J-in-Action.

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