Hear the story how the GPU evolved from a lowly graphics chip into the go-to chip for robust AI and ML workloads. Dr. Mark Moyou, Sr Data Scientist at NVIDIA  explains the history of the GPU, why it is different from the more common CPU, and how to decide when to use the GPU in an AI or IOT project. 

Mark also walks us through his personal path from the Caribbean to a PhD in the US:  how his Chemical Engineering degree helps him think differently about his data science work, how graduate school is like the supreme court, and how hustling is key to success (even when you have a "Dr." in front of your name).  

Mark is also host of the Caribbean Data Science Podcast! I encourage you to catch it @  https://www.buzzsprout.com/1824487

You can connect with Mark on LinkedIn at https://www.linkedin.com/in/markmoyou/

To leave questions or comments, or to ask about being a guest, reach me on my contact page at https://www.jamesco.cc.

What happens when a city experiences a 40% increases in population due to man-made or natural disasters?  This happened in Beirut during the Syrian civil war.  The World Bank charged Dr Ali Termos from the American University in Bulgaria to model the impact to housing prices, housing construction, and other city services due to massive influx of refugees.  Dr. Termo's paper provides insights into how city administrators should react to man-made or natural events that disrupt large populations.  In the podast he discusses his innovative use of Agent-Based Modeling, and also how he used IOT information to address gaps data due to lack of current census and other economic data in the region. 

You can read his paper at https://research.tudelft.nl/en/publications/agent-based-simulation-of-west-asian-urban-dynamics-impact-of-ref.

You can leave questions or comments on the contact page at https://www.jamesco.cc. 

Einar Halvorsen and Peter Lundqvist, SAS Hackathon Program Managers, breakdown how to form a winning hackathon team, given their experience participating in and managing SAS Hackathons in the past.  

How should you think about selecting a use case?  What kind of skills and expertise should you pull into the team?  (pro-tip - you'll need more than technical skills).   

Register now at https://www.sas.com/sas/events/hackathon.html.  

Peter Lundqvist, SAS hackathon program manager, breaks down the SAS Global Hackathon, a unique opportunity to use SAS leading data science tools and mentoring to drive your innovation project for 2022. 

Register now at https://www.sas.com/sas/events/hackathon.html.  

Jason Piippo, Direct of Global Business Development at Telefonica, join us to discuss Private LTE.  Many of us have heard the term, but we don't know what it means.  So what is Private LTE exactly?  We also know IOT devices need connectivity to transmit data - sometimes it's LoRA, or WiFI, Bluetooth, or even 4G.  But when should organizations consider Private LTE?  Jason discusses the benfits of Private LTE, and when you should consider it.  

I enourage you to connect with Jason Piippo at https://www.linkedin.com/in/jason-piippo-9023b8/.  

Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/19/

Or watch at on Youtube at https://youtu.be/yLYLHVkkTvY

Nick Schmidt, CEO of Solas.ai, introduces his new startup dedicated to helping organizations minimize bias in the AI they use to make critical business decisions.   In this episode, Nick talks about how his family history led to his interest in combining advanced math and social equity.  And how his new company uses unique techniques to monitor your AI models for potential bias, and then tells you where you are at risk for bias (gender, socio-economic, etc), and then presents you with viable alternatives.   You can learn more about his company at https://www.solas.ai. I enourage you to connect with Nick at https://www.linkedin.com/in/nickpschmidt/.   Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/18 Or watch at https://youtu.be/I6LQ77g4Mnw

3 of the 15 innovations really impressed me in this article, and I discuss them in Episode 17 of the podcast.

1-  ADP using anonymized data of 30 million employees they do payroll processing for.  The anonymous organizational and socioeconomic payroll information allows enterprises to compare their organizations and gain insights:  how do i compare against my peer companies on diversity?

2- Keyavi providing technology that allows data to react to people reading it: do you have permission to read this?  who has read it?

3 - Spherex using AI and ML to analyze cultural queues for movies and shows, allowing companies to adjust their marketing accordingly.

Spherex appears to be similar to Unbias.co, a company we highlighted in episode 16 (https://www.jamesco.cc/16) which uses ML to analyze songs (tonality, cultural influence, beat, etc) and helps artists better market their songs to streaming services.

You can see their full list of 15 innovations here --> https://www.fastcompany.com/90696567/best-ai-data-innovations

Shyam Mamidi, Founder and CEO of Natsoft Asia, joins us today to talk about blockchain.  What is the blockchain (in real-life)?  How does it work? What additional enabling technologies are needed for blockchain to really bring value to organizatoins?  

And he walks us thru a project where the Australian government is using blockchain to monitor and track the full-cylce of hemp production:  origin, sowing, flowering, harvesting thru logistics and storage.

Information on NatSoft Seed to Sale Traceability -->  https://natsoft.us/hi-track.php

I encourage you to connect with Shyam at https://www.linkedin.com/in/shyam-mamidi-a841412/

Subscribe to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) or at www.JamesCo.cc/15.