AI for Managers
Packt Publishing Limited (Verlag)
978-1-83763-114-8 (ISBN)
Key Features
Get to grips with basic AI and data science concepts with thorough, plain-language explanations
Dive into the practical aspects of AI project management with a focus on real-life examples
Work through recent and industry-leading case studies that include plenty of best practices and tips for success
Book DescriptionThe exponential growth of AI-led technologies means that more and more businesses are facing a steep learning curve to keep up with the fast-paced AI solutions market. Most of the introductory material available to those wanting to get up to speed quickly is either too superficial or too technical, creating a need for a practical, focused approach that would help managers deliver complex projects using machine learning (ML) or AI.
AI for Managers is written as a soft landing in the AI world, starting with a rundown of the terminology, easily digestible data science concepts, and a breakdown of common myths about AI and ML. This introduction alone will help you discuss and plan projects that involve AI-led technologies better and critically assess information about the topic.
As you progress, you’ll explore tailored data science topics that will help you find ways to apply AI solutions to business problems, formulate processes and timelines, set realistic goals and KPIs for your teams, and learn best practices through case studies.
Building on the use cases, some of the top AI managers across the globe will share 30 practical insights and best practices that you must know to succeed in this field.
By the end of this book, you’ll be a fully-fledged AI project manager ready for a variety of challenges.What you will learn
Get to grips with the basic concepts and terminology with simple explanations
Learn how to apply ethical AI solutions to your projects
Familiarize yourself with DS project processes, such as CRISP-DM, and use them in practice
Find out the best ways to approach UX for AI and data science
Gain knowledge about gathering, processing, and presenting data that are relevant to your projects
Work through case studies to learn about common AI applications and best practices
Who this book is forThis book is for managers working with highly technical teams in the fields of AI and data science, as well as data scientists with ambitions of becoming managers. While not essential, prior exposure to data science and IT essentials will help you understand the concepts covered in this book more easily.
Maria is a global data science community leader and a proud creator of Kaggle Days - a technology movement in the largest community of data scientists in the world (over 11 million AI experts). She is a co-founder and CEO of LogicAI, delivering data science projects to top global companies and governments. Maria is also a founder and CEO of Elephant AI, transforming companies into profitable and AI-oriented digital innovators. Maria is a passionate university teacher focused on computer science and innovation and is also engaged in numerous voluntary activities supporting young AI entrepreneurs. All of Maria’s endeavors deliver a strong ethical AI message that only by creating safe, wise, and fair technology can we make a positive difference for future generations.
Table of Contents
AI introduction
AI technologies and their applications
DS project processes and CRISP DM
AI project planning
Data Science Team Management
UX of AI solutions
Data
Ethics
Deep dive into data science
Digitalization, Transformation and AI strategy
AI project portfolio
Data Science application in practice
AI project best practices and project solving
AI project case studies
Interviews with practitioners
From Data Scientist to Data Science Manager
| Erscheinungsdatum | 12.09.2023 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
| ISBN-10 | 1-83763-114-X / 183763114X |
| ISBN-13 | 978-1-83763-114-8 / 9781837631148 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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