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 />
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