STAYING AHEADOF THE GAME WITH

ARTIFICIALINTELLIGENCE

THE PATH TO BECOMING AN AI-DRIVEN ENTERPRISE

AN IDC INFOGRAPHIC

Machine learning as an effective means to achieve artificial intelligence (AI) is no longer just hype, but an emerging reality. The insatiable demand for higher levels of

convenience and efficiency is driving digital innovations of all kinds, which have converged on a few maturing technologies – including AI. This IDC Infographic takes a

closer look at the global AI landscape and how organizations are increasingly embracing AI to positively transform their business and stay ahead of the competition.

Businesses in the faster growing regions and industries are already reaping the benefits of AI, including increased productivity, higher levels of automation, and the discovery of insights that were not possible before.

*Compound annual growth rate

AI 5-YEAR CAGR*, 2016-2021

TOP 3 BUSINESS BENEFITS EXPECTED FROM AI

PROJECTED AI SPENDING BY INDUSTRY, 2021

AI IS A RAPIDLY GROWING GLOBAL MARKET

ADOPTION INTENTION IS HIGH ACROSS 3 MAJOR GLOBAL REGIONS

BUT THERE ARE BARRIERS TO OVERCOME

Increased employee productivity

Increased process automation

Uncovering new insights

Country with the highest projected growth

Japan

United States

Western Europe

US$57.6 Bil

US$12 Bil

US$9.5 Bil

All industries

Banking, financial services, and insurance

Manufacturing

US$9.3 Bil

US$8.9 Bil

US$5.3 Bil

Retail

Public sector

Healthcare

Asia/Pacific

Adopted

73%

74%44%

49%

(including Japan)Asia/Pacific

of organizations globally have adopted or have firm plans to adopt AI in the next 5 years

The majority of adopters have seen quantified returns meeting or exceeding expectations, and many will increase their spending on AI in the next 2 years.

67%

11%

53%

Western Europe

9%

44%

United States

55%

38%

Planning to adopt within 5 years

52% of organizations in Asia/Pacific agree AI will be

critical for businesses to gain a competitive advantage

77% of organizations in the United States have found the

returns on existing AI adoptions meeting or

exceeding expectations

85% of organizations in Western Europe anticipate

increased spending on AI in the next 2 years

52%

77%

85%

Abundant opportunities for AI, including currency conversion optimization, fraud detection, next best offer, customer analytics, and market position prediction

ENDLESS POSSIBILITIES WITH AI USE CASES FROM DATA-READY PROCESSES

The use of predictive analytics, natural language processing (NLP), and computer vision is gaining momentum across many industries:

Finance/Investment

Enhancing patient care and addressing needs for accessibility and affordability through machine learning, e.g. predicting hospital readmissions, preventing sepsis, augmenting diagnoses, and reducing costs and fraudulent claims

Healthcare

Predicting high-value customers at risk to churn – including likely competitors – and retaining these customers with targeted marketing

Telecommunications

Making the world a better place to live via AI applications, such as finding the best foster home for children

Social Services

Focus on Business Process52% of organizations globally expect AI to significantly change fraud/risk/security management, while 55% expect AI to have an impact on customer service and support, now and within 2 years

The Time is Now�75% of organizations in the United States think their data is already amenable to be used by AI75

%

52%

MAKING THE RIGHT MOVE

ESSENTIAL GUIDANCE

SOURCE:

IDC Worldwide Semiannual Cognitive/Artificial Intelligence Systems Spending Guide Forecast 2016 H2IDC Cognitive/Artificial Intelligence Asia/Pacific (Excluding Japan) 2017 Survey (N=660)IDC Western Europe Cognitive/AI Survey, 2017 (N=350)IDC US Cognitive/AI Survey, 2017 (N=301)

Copyright 2017 IDC. Reproduction without written permission is completely forbidden. This IDC Infographic was produced by IDC Custom Solutions. Any IDC information or reference to IDC that is to be used in advertising, press releases, or promotional materials requires prior written approval from IDC. For more information, visit: www.ap.idc.asia or email: gmsap@idc.com

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Start with data-rich processes

and a well-defined business case

Tackle the data challenges by employing solid platforms for data preparation, prediction, and visualization

Empower users of all skill types to quickly develop and deploy predictive models

Take out the technicality of AI modeling by leveraging

automated machine learning with best-of-breed algorithms

ADOPTION BARRIERSTOP 3

Lack of data and skill sets57% High cost of

solutions

25%Challenges with

stakeholder buy-in

49%

Shortage of data scientists or AI specialists, with some

organizations not having any

Overwhelming effort needed in data preparation and

exploration, largely due to data quality problems

Generation of meaningful insights requires convergence

of both data science and domain expertise

AI

CHALLENGES

73% of organizations do not have data scientists or AI specialists in-house