Everything you need to know about data and AI.
Are you lost in the buzzword jungle around artificial intelligence, machine learning and big data? This book is here to help.
The Ultimate Data and AI Guide provides you with a complete overview and solid understanding of the most important concepts around data, machine learning and AI. It is the result of our work as data practitioners implementing and consulting on 500+ data projects at 100+ companies. Everything you need to know simply explained and organized into 150 FAQs that allow you to navigate the buzzword jungle at ease.
Learn how:
- AI systems are created with machine learning methods
- Big data and AI are driving digital transformation
- Databases and data architectures, including data warehouses and data lakes, work
- Cloud computing has been a real game changer for data storage and processing
- Machine learning and data science projects are managed within companies to create data-driven products and services
- …and much more; expect to have no blind spot left in the field of data and AI after reading this book!
What you can expect from this book:
- A complete overview of the most important concepts in AI, data and ML
- Simple, hands-on explanations of complex topics, accompanied by 246 clarifying visualizations and tables
- Content organized into 150 FAQs that you can refer to individually or read as a whole
- 63 real-world-inspired case studies based on our experience of 500+ implemented data projects
- Information from practising experts for (aspiring) data practitioners or simply interested readers
Who this book is for:
- (Aspiring) data practitioners, who want to gain a complete overview of the buzzwords and concepts around data, machine learning and AI
- Interested readers who want to understand how AI, machine learning and data are increasingly shaping our economies and societies - no previous knowledge required
- Professionals who are looking for a reference book and who want to know how to leverage data and machine learning methods in their company
What others are saying:
“A unique book that is the go-to reference in the AI and data space. If you are in any way interested in the world of data and AI you owe it to yourself to read this book, there is something to learn for everyone.”
-Harvinder Atwal, Chief Data Officer at Moneysupermarket.com and Author of Practical DataOps
“Read this! If you are at A = ‘Slides and Stickynotes’ and want to go to B = ‘Real Data and Impact’, this can be your travel guide. If you are a practitioner already creating impact, read this to get structure and perspective into the flow of topics you are handling.”
-Marcel Kling, Senior Director Data Driven Customer Journey, Lufthansa Group
“Much like a puzzle, you have to fit a lot of pieces together to succeed with AI - But how could you even know what pieces you need? This volume provides the answers.”
-Thomas C. Redman, the Data Doc, HBR Blogger and Book Author
“This book is a veritable smorgasbord of insight into the world of data and analytics, singularly lucid and accessible. Recommended to anyone with an interest in the field.”
-Ryan den Rooijen, Group Head of Data & Analytics, Chalhoub Group
“If you found yourself asking ‘what is AI?’ or ‘what is data?’ then you'll find the exact answer in this book, together with 150 FAQs and multiple case studies as a clarifying, coherent framework for your initiative.”
-Stijn Christiaens, Co-founder and CTO of Collibra
What are you waiting for?
Buy the book and start your journey through the exciting data and AI galaxy - this is the guide for your trip!
Alexander Thamm is a founder, CEO and pioneer in the field of data and artificial intelligence (AI). His mission is to create value from data and put Germany and Europe back on track to compete at eye level with the AI superpowers, the USA and China. He is a founding member of the German AI Association, a keynote speaker and the author of numerous publications on big data and AI. Alex is also the co-founder of the DATA Festival, where AI experts and visionaries design the data-driven world of tomorrow. In 2012, he founded Alexander Thamm GmbH (AT), the first data science consultancy in Germany. Today, the company is one of the leading data and AI consultancies in the German-speaking region, with more than 150 experts. AT has successfully implemented more than 600 data science and AI projects and is the trusted partner of medium and large clients across all industries, including 20 corporations of the German DAX-30. With the Data Journey, Alex developed a coherent system to drive AI adoption and business value for companies, governments and non-profits. He also founded the Data Academy to share knowledge with everyone, in order to create a better world based on new technologies.
Michael Gramlich is an instructor and freelance consultant for data science, machine learning, and data strategy. Before that, he worked as a data scientist at Alexander Thamm GmbH consulting for multinational corporations across Europe. He is passionate about implementing data science and machine learning projects end-to-end, from their conception until the deployment of operational data products that generate real value. The only thing he loves more than getting his hands dirty with data is sharing his expertise and experience, which he has done in many trainings for various international companies and universities. He holds a master's degree in International Economics from the Institut de hautes études internationales et du développement Geneva. You can reach Michael through his website, www.michael-gramlich.com.
Dr. Alexander Borek is a data executive, book author and keynote speaker. In his current role, he serves as the Global Head of Data, Analytics & AI at Volkswagen Financial Services. Before, he led the data analytics transformation at Volkswagen Group and worked as a consultant at Gartner and IBM, where he had advised Global Fortune 500 executives in multiple industries. Dr. Borek is the co-author of the books "Ultimate Data & AI Guide", "Total Information Risk Management" and "Marketing with Smart Machines". He holds a PhD from the Institute for Manufacturing at the University of Cambridge.
