Book Image

Managing Data Science

By : Kirill Dubovikov
Book Image

Managing Data Science

By: Kirill Dubovikov

Overview of this book

Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: What is Data Science?
5
Section 2: Building and Sustaining a Team
9
Section 3: Managing Various Data Science Projects
14
Section 4: Creating a Development Infrastructure

Managing innovations in a big company

Most companies already know about the transformative power of data science. No one wants to fall out of competition, so companies create internal data science and R&D departments. Working in this environment is challenging because you are seen as the driving force of innovation by some and as a disturbing annoyance by others. Innovations often lead to significant changes in the existing business processes of the company, and many will not want to see these changes implemented.

Bringing disruptive innovations to existing businesses is a tricky process; to increase your chances of success, make sure you have the following:

  • Organizational power: You will need direct or indirect organizational power to implement changes.
  • A migration plan: You will need to have a complete vision of as-is (before integration) and to-be (after integration) business...