Leading with AI and Analytics : Build Your Data Science IQ to Drive Business Value / Eric Anderson, Florian Zettelmeyer.

Format:

Sound recording

Author/Creator:

Anderson, Eric T., author.

Zettelmeyer, Florian, author.

Language:

English

Subjects (All):

Management--Statistical methods.

Management.

Decision making--Statistical methods.

Decision making.

Artificial intelligence.

Big data.

Physical Description:

1 online resource (1 audio file)

Edition:

[First edition].

Place of Publication:

Saybrook : McGraw Hill-Ascent Audio, 2022.

[Place of publication not identified] : McGraw Hill-Ascent Audio, 2022.

System Details:

audio file

Summary:

Data. It's the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what's often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. In this book, you'll find the essential tools to help you: develop a strong data science intuition quotient, lead and scale AI and analytics throughout your organization, move from "best-guess" decision making to evidence-based decisions, and craft strategies and tactics to create real impact.

Contents:

Contents:

SECTION 1IntroductionCHAPTER 1 AI and Analytics Are a Leadership ProblemCHAPTER 2 A Framework for AI and Analytics SuccessSECTION 2Consuming AI and

AnalyticsCHAPTER 3 Exploratory Analytics: What Is Going on with

My Data?CHAPTER 4 Distinguishing Good from Bad AnalyticsSECTION 3Actively Participating in AI

and AnalyticsPREDICTIVE ANALYTICSCHAPTER 5 Anatomy of a Crystal BallCHAPTER 6 A Smarter Crystal BallCAUSAL

ANALYTICSCHAPTER 7 Designing Your Data for Analytics:Experiments and Quasi-ExperimentsCHAPTER 8

Working with Data You Have Part 1:Using Opportunistic DataCHAPTER 9 Working with Data You Have Part

2:Learning from Natural ExperimentsMAKING DECISIONSCHAPTER 10 Optimizing and Scaling Your

DecisionsSECTION 4Executing on AI and AnalyticsCHAPTER 11 Identifying Opportunities and Planning for

AIACHAPTER 12 Understanding Barriers to SuccessCHAPTER 13 Organizing for SuccessSECTION 5Success Stories

with AIASTORY 1 Allstate Builds Firmwide DSIQSTORY 2 Vanguard Builds an Ecosystem of Analytics

ExcellenceSTORY 3 Canadian Tire Creates an EnterprisewideAnalytics SystemSTORY 4 Royal Caribbean Sets Sail for

ContinuousAnalytics ImprovementSTORY 5 Accenture Builds Analytics Capability forCompetitive

AdvantageAcknowledgmentsNotesIndex.

Participant:

Narrator: Timothy Andrés Pabon.

Notes:

Unabridged.

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

ISBN:

9781638410355

1638410356

OCLC:

1313562567