Annotatie

This unique Data Science book is for anyone who wants to achieve greater returns from BI, (big) data, artificial intelligence, data science, and machine learning (ML) models.

Flaptekst

Data-driven working & data science are the new normal. The tech giants are leading the way, using big data analytics and robots in their everyday activities. For most organizations, managers, decision-makers, and data professionals that’s still a bridge too far, but that future is coming ever closer. This book is for them. In ten clear steps, the author describes the path to creating a mature, intelligent, and data-driven organization.

The author shares his novel, refreshing perspective on (big) data, KPIs, dashboards, Artificial Intelligence (AI), and decision-making. He reveals how managers and data professionals can make better and faster decisions using AI and Business Intelligence, leaving their mark on the digital transformation while securing the organization’s future. Embed decision-making based on facts and data into your daily routine and significantly increase the quality of your decisions. Use machine learning to identify patterns and develop your own “8 million dollar insights”.

Most AI books read like technical manuals. This book approaches AI from a different angle and with a much wider scope. Under the data science umbrella, the author covers the principles of data-driven working, many kinds of algorithms, and the most important aspects of architecture. He sketches a holistic profile of the intelligent, data-driven organization, a proven success formula applied by tens of thousands of organizations worldwide. Get started now, using a simple report, a cool dashboard, big data, or experiment with a decision tree or neural network.

Daan van Beek studied Information Science and attained his Master of Science in AI. He is the founder of Passionned Group, a 100% independent international consulting agency and training institute. Daan hosts AI and BI masterclasses around the world and teaches at various universities.