Artificial Intelligence in Canada Mira V Perry

Transcription

1 Artificial Intelligence in Canada Mira V Perry mperry@idc.com #IDCDirections

2 Like Cloud, AI is a pervasive transformation of technology 2

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4 algorithm 4

5 Raw data Retailers Data Telcos Logistics firms Original Data Creators Credit Card Co. as Media DaaS Providers a Enhanced data Weather Company Service Value Added Content DaaS Platform Payments IP Mgmt Analytics Services Aggregation Security Compliance LinkedIn Ariba, Concur, Fieldglass

6 Machines Exceed Human Capabilities Image Recognition: Machine Accuracy 97% Human Accuracy 95% 6

7 Awareness that AI Offers Competitive Advantage QA04: Will the use of AI technologies in your organization help you obtain or maintain an advantage over your competitors? AI Will Provide an Advantage over Competition Yes Responses by IT versus LOB 25.9% 26.1% 48.0% 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 32.0% 68.0% Yes No Not sure IT Yes LOB No/ Not Sure Source: Business and IT Advisory Panel Survey N1, February 2018; n=204 IT n= 101; LOB n=103 7

8 Is AI a Strategic Priority QA03: Is the use of AI technologies a strategic priority for your organization? Transportation 62% Public Sector, 41% Retail, 26% 41% 32% Yes, and there is an AI strategy in place Yes, but we do not have an AI strategy No Process Manufacturing, 22% Financial Services 19% 27% Source: Business and IT Advisory Panel Survey N1, February 2018; n=204; PS n=56; FinSvs n=16; Transportation n=24; Retail n=23; Process Manufacturing n=9 8

9 Canadian Organizations Using AI, 2018 DK, 4.8% No plans in 24 months, 37.5% Using, 18.0% Piloting, 17.6% Using Piloting In 24 months No plans in 24 months Don't know In 24 months, 22.1% Source: Business and IT Advisory Panel Survey N1, February 2018; Sample Size = 204; 2016 Data AI and Adjacent Categories from 2017 deck Data: QA05: Is your organization using any software application with cognitive/ artificial intelligence capabilities? This may be a 9 stand-alone analytics application with AI or any number of enterprise software applications with embedded AI capabilities.

10 Cost Complex implementation Insufficient skills Security Lack of executive support Lack of infrastructure Can't prove the ROI Data issues We do not see a need Technology is not ready Don't know where to start We can't determine the quality Inhibitors Of Adopting AI 0% 10% 20% 30% 40% 50% QA09: What is limiting your organization's adoption of applications with cognitive/ai capabilities? Sample Size = 204 Source: IDC Canada BITAP (Business and IT Advisory Panel Survey) n Survey, February

11 Areas that Will Most Benefit from AI Total IT LOB #1 Customer Service #2 IT Management Sales Human Resources #3 Finance #4 Supply Chain Marketing Risk Management Source: Business and IT Advisory Panel Survey N1, February 2018; n=204; IT=101; LOB=103 QA08R: Please rank the top three applications where your organization would most benefit from cognitive/ai functionality. 11

12 Using, 18.0% Business Benefits from AI QA06: What business benefits have your organization realized from your cognitive/ai solutions? Sample Size = 40 Source: Business and IT Advisory Panel Survey N1, February 2018; n=40 AI users; LOB=36; IT=4 12

13 Attributes for Artificial Intelligence Solutions QA10: Which of the following attributes are most important to your organization when selecting an Artificial Intelligence solution? Most Important Attributes of AI Solutions Least Important Attributes of AI Solutions Ease of use Leading-edge Ease of integration w/ other software Wide range of AI capabilities Low TCO Existing vendor relationship 0% 10% 20% 30% 40% 50% 0% 10% 20% 30% 40% 50% Sample Size = 204 Source: IDC Canada BITAP (Business and IT Advisory Panel Survey) n Survey, February

14 Canadian Top 5 AI Use-Cases: by Hardware, Software & Services Spend Fraud Analysis and Investigation Automated Customer Service Agents Intelligent Processing Automation Diagnosis and Treatment Systems Digital Assistants for Enterprise Knowledge Workers *Source AI Spending Guide Other Industries represent 46% * by Market Size (2018) 14

15 Canadian Top 5 AI Use-Cases: by Hardware, Software & Services Spend Fraud Analysis and Investigation Automated Customer Service Agents Intelligent Processing Automation Diagnosis and Treatment Systems Digital Assistants for Enterprise Knowledge Workers 15 *Source IDC AI Spending Guided Other Industries represent 46% * by Market Size (2018)

16 Canadian Top 5 AI Use-Cases: by Hardware, Software & Services Spend Fraud Analysis and Investigation Automated Customer Service Agents Intelligent Processing Automation Diagnosis and Treatment Systems Digital Assistants for Enterprise Knowledge Workers 16 *Source IDC AI Spending Guided Other Industries represent 46% * by Market Size (2018)

17 AI Strategy Considerations 1. Identify areas of the business for AI adoption 2. Determine outcomes that are important 3. Anticipate how you will navigate inhibitors 4. Assess and augment your data 5. Recognize the insights of IT & LOB 6. Engage vendors/partners whose capabilities align with your objectives 7. Ask what Digital Innovation will your Company Contribute 17

18 Let s Connect Calendar Invite to mperry@idc.com 30 Minutes on May 8 th, 9 th or 10 th Offer an alternative time or two Specify in the Subject Line one of the Following: 2018 Directions Overview/ Q&A Canadian AI Overview AI Technology Adoption: NLP, ML, Sentiment, etc. Canadian Use Cases: select industries Intelligent Assistants & Bot Adoption 18

19 For More Information Mira V Perry Twitter LinkedIn

20 Thank you! 20