A collection of info, insight and collaboration all with the goal of advancing knowledge in the data & analytics world.

Randy Krall

Join Us for our October 25th Summit

Please join us Friday, October 25, 2019, for the second NM Big Data and Analytics Summit in beautiful Albuquerque, NM.  The field of Data Science and Analytics is growing rapidly, and this conference seeks to bring together entrepreneurs, data scientists, investors and students of all knowledge levels to learn more.

We will also provide a pre conference seminar on Thursday October 24 for those interested in learning the terms and concepts of data science and analytics.

Our goal is to provide a venue for this diverse group unified by a common interest in applying data models to exchange ideas, stimulate their projects and broaden their understanding of the activity and resources available here in New Mexico.


Register Now!

Space is limited so please register early.

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Summit Topics


Thursday October 24, 2019 – CNM Workforce Training Center, Room 106

Preconference Workshop on data science and analytics terminology and concepts

12:30 – 1:00 Registration

1:00 – 4:00  Workshop presented by Dean Abbott of Abbott Analytics

Friday October 25, 2019 – CNM Workforce Training Center

  • Track 1:  Biomedical Applications
  • Track 2:  Image Analysis Applications
  • Track 3:  State and Local Government Applications
  • Track 4:  Other Applications

7:30 – 8:15 Registration and Breakfast

8:15 – 8:35 Welcome and Introductions, Randy Krall, Telemetry Insights
8:35 – 9:30 Keynote Speaker: Christopher Konarski, IBM

9:30 – 10:30 Breakout Sessions

  • Track 1:  Session Canceled
  • Track 2: Towards Realizing the Latent Potential of Remote Sensing, Chris Lippitt, University of New Mexico
  • Track 3:  Walking Down the Ivory Tower: The Application and Engagement of Data Science in Industry, Josh Vertalka, RS21
  • Track 4:  Session Canceled

10:30 – 11:30 Breakout Sessions

  • Track 1: How Big Data is Transforming Healthcare, Angelica Bruhnke, Versatile MED Analytics
  • Track 2: Petabyte Scale Remote Sensing in the Cloud, Nathan Longbothom, Descartes Labs
  • Track 3: Building a Strong Foundation for Data Analysis, Leslie Andrews, City of Albuquerque
  • Track 4: Graph Based Search, David Ostby, SavantX

11:30 – 12:30 Lunch and Networking (provided)

12:30 – 1:30 Breakout Sessions

  • Track 1: Success in Healthcare Requires Focused Data Analysis, Richard VanNess, Tricore Reference Laboratories
  • Track 2: Brain Inspired Analytics/Machine Learning for the Business World, Garrett Kenyon, Los Alamos National Labs
  • Track 3: The District Attorney, Data, and DIY: Open Source for Data Infrastructure, Pipelines, and Analytics, Paul Crickard, State of New Mexico
  • Track 4: Falling Colors, Jorie Koster-Hale

1:30 – 2:30 Breakout Sessions

  • Track 1: Neuroprediction: Using brain data to identify injury, illness, and predict outcomes, Kent Kiehl, Mind Research Network
  • Track 2: Artificial Intelligence for Detection of Eye Diseases, Simon Barriga, Vision Quest BioMedical
  • Track 3: Analytics and Industrial IOT, Darryl Ackley, New Mexico Tech
  • Track 4: Patrick Bridges, University of New Mexico

2:30 – 3:30 Breakout Sessions

  • Track 1: Cancer and Big Data Analytics, Shelley MacNeil, Tempus Labs
  • Track 2: Advancing Machine Learning and Machine Vision Using Topological Graph-Based Representations, Methods, and Algorithms, Liping Yang, LANL
  • Track 3: State of New Mexico Dept of Workforce Solutions, Nathan Friedman
  • Track 4: Data Science Bootcamp, Cliff Lewis, CNM Ingenuity

3:30 – 4:00 Summary, Door Prizes, Farewell

Previous Conference Topics
Speaker Bios