Data science is hot and only getting hotter as companies and individuals scramble to catch the wave. As your career as a data scientist develops, how can you best gain firm footing and attain success when the term is so ill-defined and the field is so quick to evolve?
If data is the “new gold,” then why is it not treated as valuable? The two AI certainties are, (1) that you will create your AI future, or (2) someone else will create their AI future where you will exist or maybe not exist.
How do Blockchain (not Cryptocurrency), IoT – the Internet of Things and Artificial Intelligence/Machine Learning relate and why? What is driving the convergence of these technologies? What should you know to prepare yourself to drive the impact these technologies will make on the future?
This presentation is appropriate for quantitative analysts who work in engineering, finance, healthcare, pharmacology, manufacturing, retailing, distribution, and logistics.
This webinar will present the practicalities of the lack of diversity in data science (specifically the lack of women, women of color, & non-white/non-Asian men & the lack of professionals from lower & working class backgrounds) & how precisely this affects the model building. Join us to learn how to overcome these challenges to build optimal models!