Data Science With Sam

Generative AI has taken technology world by storm since the inception of ChatGPT in late 2022. As we keep progressing towards a world that will continuously get benefitted by this new technical advent, it's imperative to understand how data scientist, a title which was identified as "The sexiest job in the 21st century" role will get evolve further in upcoming years.

This podcast tried to shed some lights on that by initiating a thought-provoking discussion between the guest Marina Polupanova, Principle Data Scientist at Bell Labs and the host Sam.

This episode brings forth a new technology concept "Observability" as the guest speaker shared his perspectives on the following questions:

1. What Observability means in the context of modern software development and system monitoring? How does Observability differ from traditional monitoring and logging practices?
2. Why has Observability gained so much attention in recent years? What are the driving factors behind its increasing popularity?
3. From cybersecurity perspective, what role does Observability play in identifying and mitigating potential threats or vulnerabilities?
4. How do you see the future of Observability evolving in the next few years from the context of recent AI innovation surge?
5. What resources or learning opportunities would you recommend for individuals or teams interested in diving deeper into the topic of Observability?

Guest speaker: Edward Ferron

LinkedIn profile: https://www.linkedin.com/in/eferron/

This episode strikes up some insightful conversations about the usefulness of analytics in soccer/football. The guest speaker Bruno Baltazar, a soccer/football coach and the host of "Houston Dynamic Dynamo" podcast, shared his perspectives on the following relevant questions during the session:

1. What are some key metrics or statistics that soccer analysts cum coaches use to evaluate player performance?
2. How does soccer analytics help in identifying player strengths and weaknesses, and how can this information be used in team tactics and strategies?
3. How does soccer analytics influence player recruitment and scouting processes? What are some innovative approaches in this area?

Listen to this engaging discussion between the guest and the host as it unfolded various aspects of the usefulness of analytics for the beautiful game.

This episode unveils an emerging trend of analytics practices in football/soccer industry. The guest speaker Ana De Souza talks about her journey from economics to sports sector. She also shares her perspectives about how analytics/data science techniques coupled with innovative technology toolkits are being instrumental to help sports teams in making better scouting selections, helping coaches to perform better assessment of players and making data-driven predictions that contribute to the overall team success.Ana's LinkedIn profile link: https://www.linkedin.com/in/anavdesouza/

This podcast geared towards an effort to explore new technology toolkits that helping insurance professionals in their risk management and operational risk practices. The guest speaker provides an overview of a new technology called "Spark", a cloud-based logic engine, which has a lot of potential to automate some of excel-driven insurance business function modules into API. Furthermore, the discussion took a different tangent at the end just to touch upon the importance of AI and technological innovation in changing the paradigm of risk practices in the insurance realm in the foreseeable future.Podcast guest: Nick Leimer, Senior Director Of Technology at Coherent, ex-Microsoft Useful links: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/coherent1634571349676.coherent_spark?tab=Overviewhttps://www.soa.org/

This podcast session features a seasoned Actuary who shared his perspectives on various topics related to Actuarial science and the respective profession.

Guest speaker: Charles Johnson, FSA, CEO at Actuarial Development Institute and TEDx speaker. Follow him on LinkedIn to learn more about Actuarial Science and public speaking.

During this conversation the guest speaker and moderator Sam touched upon the following items:

a) importance of actuarial role in the insurance sector and growing popularity of actuaries in other business verticals.

b) an interesting take on the ongoing partnership of actuaries and data scientists and how this will be amplified more in the foreseeable future

c) Charles's opinion on how AI can help Actuaries in augmenting their efficiencies in driving business functionalities instead of posing a threat to their jobs.

If you like this podcast, then drop a review and subscribe to my podcast channel to gain access to future episodes featuring academia and industry experts. #datascience #coffeechat #science #research #data

ChatGPT continues to show its potential of becoming a revolutionary multi-purpose artificial intelligence tool that can benefit society. On the contrary, there has been a growing concern about misutilization of this tool that can cause detrimental effect on school education systems. NY public schools have already banned ChatGPT to avoid students using the chat bot to cheat or plagiarize writing assignments.

But do you think that putting a hold on using the AI tool may solve the purpose?

In this podcast session, we pressed upon the same question from different aspects. Guest speaker: Joseph Strawder, owner/CEO of EdTech startup

LinkedIn profile: http://linkedin.com/in/joseph-strawde...

This coffee chat session features a research scholar from academia who shared his perspectives and experience on how AI/ML plays a crucial role in scientific research in conjunction with the applicability of deep learning in profiling 🧬 expression analysis and other studies in molecular biology field. Guest speaker: Lukas Simon, PhD from Baylor College of Medicine http://linkedin.com/in/lukas-simon-01... Reading materials: If you are interested to know more about Lukas’s research work then please take a look at his publications related to implementation of deep learning to single-cell RNA sequencing data: 1. Autoencoders - https://pubmed.ncbi.nlm.nih.gov/30674... 2.Triplet neural networks - https://www.nature.com/articles/s4225... 3.Positive-unlabeled learning - https://pubmed.ncbi.nlm.nih.gov/34430...

Latest coffee chat session on Data Science features Aaron Blythe, Data Scientist and Solution Architect at Google. During this discussion, Aaron talked about various topics such as 1) essential toolkit to become a Data Scientist, 2) fundamental difference between a Data Scientist and a ML Engineers and how they can work in collaborative environment to develop sophisticated pipeline for model deployment? 3) significance of MLOps practice to modernize the Data Science model deployment pipeline by bringing CI/CD culture in Data Science world. Important learning materials: https://martinfowler.com/articles/dat... https://ml-ops.org/ Share your questions/comments below. Today's guest speaker Aaron can be reached at https://www.linkedin.com/in/aaronblythe/

This coffee chat session features an academia personnel, who shared her fascinating journey from industry to academics during the talk, and it also covers a brief overview her ongoing research work geared towards artificial intelligence and deep learning. Guest speaker: Polina Nemkova, Research Assistant at University of North Texas For any future collaboration, Polina can be reached at nemkova.com If you interested to know more about her AI research work, follow her on LinkedIn https://www.linkedin.com/in/nemkova/