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
Section 1: What is Data Science?
Section 2: Building and Sustaining a Team
Section 3: Managing Various Data Science Projects
Section 4: Creating a Development Infrastructure

Exploring innovation management

Innovations are very chaotic in nature. Innovators call for experimentation, but they cannot predict the end results and struggle to define deadlines. These qualities of innovations make them hard to implement in a business environment, where clearly defined goals, strict deadlines, and finite budgets are the norm. Innovation management provides a set of techniques that bring order into a chaotic realm of innovations. The word management is associated with direct control, but this is not the case for innovations. Freedom is critical for every innovation. You won't get any positive results by trying to micromanage. Innovation management is about providing support and integrating innovations into existing businesses so that they deliver helpful results.

To understand the main ideas behind innovation management, we should understand the different...