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Webinar

The Future of Data Science and AI

By Dipayan Sarkar
Dec 12, 2019 15:00 (GMT)

Overview

Data Science, Artificial Intelligence and Machine Learning are the current reigning technologies that has conquered several industries globally. It indeed has been a revolution in the world today. There is enormous demand for professionals who can deep dive into the data goldmine and can pull out the data efficiently to create better products. With the continuous growing number of use-cases in DS, ML and AI in various organisations, data scientists are in great demand in the market. The demand is increasing day-by-day with expectations on proficiency required to understand patterns and trends in data and make intelligent decisions based on it.

 
The demand for data scientists is growing, with 29% year-on-year increase and 300% overall increase since 2013. While the demand continues to rise at a lightning speed, job seekers with data science skills grew at a very low rate of just 14%, indicating a widening gap between demand and supply.

 

The question to ask:

Why is there such a huge gap of vacancies that continues to remain unfilled? What are the key areas of expertise that a data scientist needs today?

 

Join us for a webinar on ‘The Future of Data Science & AI’ with Dipayan Sarkar and find answers to questions like:

·         What a Data Scientist does?

·         What makes Data Science a promising career option for the next decade?

·         What are different training and career options that are available for people who are experienced in various other areas?

 

Presenter

Dipayan Sarkar

Dipayan Sarkar

Singapore
About:

Dipayan Sarkar comes with 20+ years of industry experience and has served Fortune 10 companies across many countries. He founded Algoritmo Lab which operates based out of Pune & Singapore. His company works in the Data Science space with business organizations and educational institutions.

Dipayan has bagged the International Challenges on Predictive Modelling title and has authored books on Machine Learning & Deep Learning. He mentors & conducts Data Science, ML, and AI workshops in various countries. He is currently pursuing his doctorate in artificial intelligence from Rennes School of Business, France. 

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