Data science has become a fairly loose term, an umbrella for all data analytics processes. In this talk we’ll look at the main components of the DS pipeline, in an attempt to clarify what DS is and how it helps deliver value to an organization. Also, since AI’s impact on DS is impossible to ignore, we’ll examine how AI fits in all of this, accelerating parts of the pipeline and bringing about a new generation of DS models.
Moreover, we’ll look at different aspects of DS and AI, from a manager’s perspective, how new technologies like cloud computing play a role in all this, and some ideas on how AI technologies are most likely to evolve. Finally, we’ll include some resources for further learning on these topics, as well as some pointers on what you can do, depending on your professional role, to make the most of this intriguing trend.
Dr. Zacharias Voulgaris was born in Athens, Greece. He studied Production Engineering and Management at the Technical University of Crete, shifted to Computer Science through a Masters in Information Systems & Technology (City University of London), and then to Data Science through a PhD on Machine Learning (University of London). He has worked at Georgia Tech as a Research Fellow, at an e-marketing startup in Cyprus as an SEO manager, and as a Data Scientist in both Elavon (USA) and G2 (USA). He also was a Program Manager at Microsoft, on a data analytics pipeline for Bing. Currently he is working at Data Science Partnership Ltd, a UK-based Data Science and A.I. company. Parallel to that, he is mentoring data science students and also doing educational videos.
Zacharias has authored three books, several scientific articles, as well as a number of videos on Data Science, A.I., and Cyber Security topics (published on the Safari educational platform). He has also reviewed a number of data science books (mainly on Python and R) and had developed a number of new metrics, heuristics and functions for data analytics. Apart from data science, he also has a passion for new technologies (e.g. IoT and Cyber Security), as well as literature, music, and videos.