Question-driven Data Projects


A business book from Zacharias Voulgaris, PhD
via Technics Publications

Overview

Become adept at asking good questions about the data and obtaining answers to add significant business value to analytics and artificial intelligence (AI), without any hype or jargon.We start by exploring fundamental topics, such as how data relates to your pain points, where to find the data, the skillsets involved in data work, and the two main data methodologies.Next, we cover high-level matters regarding data, expanding the scope of data initiatives and elaborating on the bigger picture of data work. Learn how to enrich your data assets, what professionals and technologies you’ll need to leverage, how data needs to evolve over time, the cost of data projects, and a process for evaluating when a data initiative is worth the investment.We conclude with a series of AI topics, from when AI is relevant in a data project to where you can find worthy AI professionals.

Main sections:
* What if we have been going about data the wrong way? (exploring the data at hand starting from where we need to go through data work)
* What about the bigger picture? (the most strategic aspects of data work and how they relate to the business)
* What about AI? (what it is and how it can be useful, beyond the hype around it)

Author

Dr. Zacharias Voulgaris is a data scientist and analytics consultant with a background in engineering and management. After his PhD in Machine Learning, he worked as a researcher in one of the top technical universities, Georgia Tech. Later, he shifted to the private sector, eventually getting recruited by Microsoft as a program manager.Throughout his career he has worked in various data-driven startups, developing multiple kinds of data products. Also, he has authored various books on data science and A.I. and coded a series of programs in these fields, and on cryptography. He has a solid understanding of machine learning, data engineering, and recommender systems, among other topics in the data science domain.A self-sufficient professional, he is also a good team player, particularly keen on mentoring, and enthusiastic about expanding his knowledge and know-how. These days, he is a mentor at GrowthMentor & MentorCruise and a consultant at GLG.

Zacharias has authored eight (8) non-fiction books, mostly technical, on various data-related topics.

Sample