CIO调查：2018年企业信息安全状况概观（英文版）

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BUSINESS TECHNOLOGY LEADERSHIP | cio.com

FROM IDG

WINTER 2018

After years of casual courting,

IT and business are nally forging

eective ways of working together

to pursue shared objectives

for digital transformation.

SPONSORED BY

PROJECTS PRIMED FOR

MACHINE LEARNING 4

MATSON IT DELIVERS

UNIFIED SUCCESS 6

DRIVING AUTOMOBILE

DESIGN AT FORD 23

STATE of the CIO

BY BETH STACKPOLE

2WINTER 2018 | CIO.COMCOVER ART BY GWEN KERAVAL

contents WINTER 2018

cover story | STATE OF THE CIO

IT-business alignment

(finally) gets real

After years of casual courting, IT and business are

nally forging eective ways of working together to

pursue shared objectives for digital transformation. 9

BY BETH STACKPOLE

emerging TECH

4 Projects primed for

machine learning

transformation NATION

6 Matson IT delivers

unied success

leading TECH

17 4 things successful

CIOs know about digi-

tal transformation

20 Rethink your IT

budgets

applying TECH

23 Driving automobile

design at Ford

WHO COVERS WHAT

www.cio.com/about/contactus.html

EMAIL PHONE

editor@cio.com 508-872-0080

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EDITORIAL

EXECUTIVE EDITOR

Amy Bennett

ART DIRECTOR

Terri Haas

SENIOR EDITOR

Jason Snyder

SENIOR WRITERS

Clint Boulton, Sharon Florentine

Thor Olavsrud, Sarah White

CIO EVENTS + CIO EXECUTIVE COUNCIL

SVP/GENERAL MANAGER

Adam Dennison

EXECUTIVE DIRECTOR OF CIO PROGRAMS

Maryfran Johnson

IDG COMMUNICATIONS, INC.

PRESIDENT

Kumaran Ramanathan

U.S. PRESIDENT

Charles Lee

FOUNDER

Patrick J. McGovern

(1937-2014)

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or in part in any form or

medium without express

written permission of

CIO.com is prohibited.

CIO and CIO.com and

the respective logos

are trademarks of

International Data

Group Inc.

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4WINTER 2018 | CIO.COM

emerging TECH

THINKSTOCK/TERRI HAAS

For most businesses, the best

way to take advantage of machine

learning remains something of

a mystery. Still, the drumbeat

to experiment keeps getting

louder.

Here are eight IT projects that

almost any organization will ﬁnd

useful in getting started with

machine learning — even if you don’t

have the budget or the in-house tal-

ent to build systems from scratch.

1Customer service

Using the Microsoft QnA

Maker, you can turn a list of fre-

quently asked questions into a cus-

tomer service chatbot. If you want

to have a more interesting interface

than just text replies, you can use

the .NET SDK and the Microsoft

Bot Framework to create a bot that

shows pictures and rich content. If

you prefer the serverless approach,

QnA Maker is one of the templates

in the Azure Bot Service, so you can

create a bot that works on email,

GroupMe, Facebook Messenger,

Kik, Skype, Slack, Microsoft Teams,

Telegram, text/SMS and Twilio.

2Marketing

Services like Adobe Market-

ing Cloud, Dynamics 365 and

Salesforce are starting to offer

machine learning predictions for

everything from recommending

related products to personalized

search results, classifying sales

leads, warning you when a deal

is going cold, ﬁnding alternate

Projects primed

for machine

learning

With AI becoming strategic, look for projects

that can give you quick business wins

BY MARY BRANSCOMBE

5WINTER 2018 | CIO.COM

emerging TECH

sales contacts, and even suggest-

ing how and when to reach out

to them. If your marketing team

isn’t already looking at these

tools, this is a good way to apply

machine learning directly to your

bottom line.

3Fraud detection

On any given day, the mer-

chants that fraud prevention

company Fraud.net protects

might face a hundred different

fraud schemes, each with doz-

ens of variations. Rather than

trying to create a single model

to score every possible kind of

fraud, Fraud.net uses Amazon

Machine Learning to train mul-

tiple machine learning models to

spot a range of fraudulent activ-

ity, such as scammers making

multiple payments just under

a trigger limit, new merchants

exhibiting unusual behavior and

seemingly legitimate customers

who are connected to a network

of scammers.

4Inventory planning

Supply chain automation isn’t

new, but machine learning is mak-

ing it much more common. Instead

of having just historic sales data,

machine learning lets you use

data about the way cus-

tomers research pur-

chases online, the

impact of weather

on shopping habits

and other internal

and external trends

to manage inventory by

forecasting demand. Ama-

zon claims it can predict exactly how

many shirts of a particular color

and size it will sell every day; Target

credits machine learning predictive

models with 15 percent to 30 percent

growth in revenue.

5Route planning

You can use the predictive traf-

ﬁc services in the Bing and Google

Maps APIs to create isochrone maps

that show you not just distance but

travel time to compare how many

customers an engineer could reach

in a 15-minute drive from various

starting points or ﬁnd the best time

of day to make deliveries. (Use the

preview Bing Maps Truck Routing

API to get routings for commer-

cial and service vehicles

that are larger than the

average car.) Add in

asset tracking and

location triggers

and you can create

your own logistics

solution.

6Predictive maintenance

When Thyssenkrupp used

Microsoft’s Azure IoT Suite to

remotely monitor sensors, predict

failures and preemptively service

equipment in the 1.1 million eleva-

tors it installs and services, it didn’t

just increase customer satisfaction

by ﬁxing problems before they

caused a breakdown. It reduced

costs by ﬁxing more issues on the

ﬁrst visit and by predicting what

spare parts to carry in inventory.

7Security

Windows Defender Advanced

Threat Protection is a machine

learning service that analyzes the

behavior of PCs on your network

running Windows 10 Enter-

prise and tells your security team

whether an attack is a malicious

process, social engineering or a doc-

ument exploit. You’ll still need to

dig into logs and deal with the con-

sequences, but Windows Defender

ATP can help cut through the noise.

8Recruitment

There’s a growing push for

diversity in business, but the way

your recruitment team words job

postings can actually discourage

those applicants. The Textio service

uses AI to ﬂag corporate jargon,

clichés, stereotypes and other off-

putting phrases in job postings and

recruitment emails to help you get a

wider pool of applicants. SAP Suc-

cessFactors has a similar tool. ♦

Mary Branscombe is a contributor to CIO.com.

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BUSINESSTECHNOLOGYLEADERSHIP|cio.comFROMIDGWINTER2018Afteryearsofcasualcourting,ITandbusinessare!nallyforginge"ectivewaysofworkingtogethertopursuesharedobjectivesfordigitaltransformation.SPONSOREDBYPROJECTSPRIMEDFORMACHINELEARNING4MATSONITDELIVERSUNIFIEDSUCCESS6DRIVINGAUTOMOBILEDESIGNATFORD23STATEof...

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CIO调查：2018年企业信息安全状况概观（英文版）

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