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

Understanding innovations

Before we discuss failures in innovations, we need to understand what innovation is. The dictionary definition of innovation states that it is something new or something that's introduced in a different manner; an introduction of new things or methods. Every innovation is temporary. Edison's light bulb was once innovatory, as were cars. Successful innovations invade our daily lives like a tempest, change them forever, and then become mundane. Failed innovations fade and become forgotten.

If we look at history, the creation of technology does not guarantee success. Automobiles first appeared in 1886, but cars only really started changing our lives 27 years later, when the Ford Motor Company built the first moving assembly line in 1913. If you define innovation in terms of an inventor's success, the invention of the first car may be a huge...