Dan McCreary Videos¶
TedX Talk: AI in Education¶
TigerGraph Graph+AI Summit Keynote¶
This video was presented in October of 2021 at the Graph+AI Summit in San Francisco, CA
Connecting Healthcare¶
This video was taken from the GraphConnect Conference on September 20 of 2019 in New York City
MicroSims (Code Savvy)¶
Podcast¶
AI & Enterprise Knowledge Graphs - Interview for Applied AI with Justin Grammens
Val Lockhart Video on MicroSims¶
ChatGPT for Teachers¶
Content and AI¶
Large Language Models, Structure and Stories: An Exploration with Dan McCreary and Steven Peterson¶
NoSQL Now! - 2013¶
The Robo CEO¶
Recording Date: April 22, 2021
In this episode of the Chaos Orchestra podcast, Dan McCreary explores the concept of the "Robot CEO," where AI systems, particularly knowledge graphs, integrate with human decision-making to enhance business operations. Dan discusses the current limitations and future potential of AI in enterprise settings, predicting the increasing adoption of knowledge graphs, the standardization of graph query languages, and the integration of machine learning to drive innovation and scalability. He also addresses the cultural and strategic shifts necessary for companies to stay competitive in a rapidly evolving technological landscape, emphasizing the transformative power of connected data and AI-assisted decision-making.
Applied AI Meeting¶
MemCon Enterprise Knowledge Graphs¶
Recorded in March of 2023
Enterprise knowledge graphs (EKGs) offer the ability to store large connected datasets in memory for fast traversal using simple pointer-hopping instructions. However, keeping hundreds or thousands of cores fed with traversal data has become one of the key challenges for artificial intelligence and analytics.
Despite the exponential growth in graph databases, we have yet to see hardware tuned to graph analytics workloads. In this session, we will review the requirements for EKGs and provide a roadmap of how new memory hardware can be used to solve EKG challenges.
Exploring Complexity: How Graphs Data Science is Pushing Complexity¶
Nov 11, 2021
Graph Storytelling¶
Imagine you work in a company with lots of different business units. And each of the business units make their own decisions about what new technology they use, and how they use it.
In that scenario, you have to work with them to explain these advanced technologies. If we can't explain it to nontechnical people, they're not interested.
What experience shows is that using a series of stories for non-programmers such as finance people, marketing people, and health care executives, helps them understand the value of connected datasets.
So, the questions that we'll try to answer is, what is storytelling? How does it help us explain things to a non-technical audience?
Shorts¶
Code Savvy at the Maker Faire May 30th, 2015 at the Minnesota State Fair Grounds