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CIO & LEADER-November 2017 (1)

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Feature<br />

Dual<br />

Transformation<br />

How to Reposition Today’s<br />

Business While Creating the<br />

Future<br />

by Clark G. Gilbert, Mark W.<br />

Johnson, and Scott D. Anthony<br />

Publisher: Harvard Business Review<br />

Month of Publishing: May <strong>2017</strong><br />

The Book is about<br />

One of the most common challenges<br />

before business leader: how to transform<br />

your current business in the face of<br />

continuous disruptions. Balancing<br />

the current investor and customer<br />

expectation with creating a future model<br />

is a dual task for most businesses and the<br />

book is a “how-to” book on the subject.<br />

Why it is in the list<br />

It deals with one of the most common<br />

challenges and especially in a country like<br />

India where change is slow to implement.<br />

Machine,<br />

Platform,<br />

Crowd<br />

Harnessing Our Digital Future<br />

by Andrew Mcafee (Author),<br />

Erik Brynjolfsson<br />

Publisher: WW Norton & Company<br />

Month of Publishing: June <strong>2017</strong><br />

The Book is about<br />

Yet another book following the successful<br />

formula in management literature—a<br />

successful original should be followed<br />

with updates cum more consumable<br />

presentation of those ideas. This book is<br />

an updated and concise version of The<br />

Second Machine Age by the authors for<br />

“executive education,” as many critics<br />

point out.<br />

Why it is in the list<br />

It is still the most useful book on<br />

the subject, presented with a business<br />

outlook and not from a sociologist’s<br />

perspective.<br />

Artificial<br />

Intelligence<br />

and Machine<br />

Learning for<br />

Business<br />

A No-Nonsense Guide to Data<br />

Driven Technologies<br />

by Steven Finlay<br />

Publisher: Relativistic<br />

Month of Publishing: May <strong>2017</strong><br />

The Book is about<br />

As the name suggests, it is a no-nonsense<br />

introduction to technologies like AI,<br />

machine learning etc targeted at non-datascience<br />

community, especially business<br />

executives.<br />

Why it is in the list<br />

It is a lucid introduction to one of the<br />

hottest areas within technology. A<br />

must read for those who want to work<br />

in technology/business functions that<br />

work with Big Data but are not into data<br />

science themselves.<br />

<strong>November</strong> <strong>2017</strong> | <strong>CIO</strong>&<strong>LEADER</strong><br />

39

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