Demystifying Data Analytics

Watch Recorded Seminar from this link.

Presenter: Harrison Murphy - Director of Data Analytics Solutions, Specialists, Analytics & IoT

Abstract: Machine Learning, Artificial Intelligence, and Data Science have never been more accessible or as widely proliferated in day-to-day life as they currently are and will continue to be for the near future. I would also argue that it's never been as widely misunderstood as it is currently. From Generative AI and Large Language Models like ChatGPT to AI-generated art and self-driving cars, it's easy to think of AI and ML as this unobtainable, all-encompassing, futuristic wonder technology when the reality can be simpler, more practical, and more tangible than previously considered.

We want to pull back the curtain and demystify what a typical data science process can look like from a non-technical user's perspective to bridge the gap between theory and practical application.

In this talk we're addressing:

• What is the data science process and how has this been traditionally accomplished?
• How can I apply my data and industry knowledge to the process?
• What are the current trends in the industry?
• What's available to me today and where do I get started?