Data Science for Executives: Leveraging Machine Intelligence

Description Specifications
Description
Data Science for Executives: Leveraging Machine Intelligence to Drive Business ROI

We are in the 4th industrial revolution; companies need to figure out how to survive. In this exciting revolution, machine intelligence has had a more unprecedented impact on business than the internet, and itâ€™s the only path to corporate survival in the future. In Data Science for Executives, Nir Kaldero dispels the myths and confusion surrounding this game-changing technology and provides practical strategies for harnessing its profitable power. This essential tome provides illuminating case studies, important guiding principles, and effective on-the-ground actions for incorporating machine intelligence into your organization and employing it to enhance your business though the wealth of data that flows into your business. Leaders donâ€™t have to be scientists to unlock the power of AI technology that is already radically altering the industrial landscape. If youâ€™re ready to meet the challenges of this new revolution, this essential guide will help you take your business to the next level.
Specifications
Country USA
Brand Lioncrest Publishing
Manufacturer Lioncrest Publishing
Binding Paperback
UnitCount 1
EANs 9781544511252
ReleaseDate 0000-00-00

Applied Artificial Intelligence: A Handbook For Business Leaders

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)

WTF?! (Willing to Fail): How Failure Can Be Your Key to Success

Growth IQ: Get Smarter About the Choices that Will Make or Break Your Business

Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Digital Transformation: Survive and Thrive in an Era of Mass Extinction

The Model Thinker: What You Need to Know to Make Data Work for You

Data Science (MIT Press Essential Knowledge series)