Infosys Amplifying Human Potential
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This document summarizes the results of a survey of 1,600 IT and business decision makers from organizations with over 1,000 employees and at least $500M in annual revenue across seven countries. The survey looked at companies' current status and motivations for adopting artificial intelligence as well as their preparations for and barriers to AI use. Key findings include that 25% of companies have fully deployed at least one AI solution and expect a 39% revenue rise by 2020 from AI. Most companies are investing in supporting IT infrastructure and developing internal knowledge for AI planning. The majority see ethics as important but over half believe ethical concerns currently limit AI's effectiveness. Future skills needs include active learning, complex problem solving and critical thinking.
Infosys Amplifying Human Potential
- 1. AMPLIFYING HUMAN POTENTIAL Towards Purposeful Artificial Intelligence
- 2. 2 Here we look at AI Maturity - how it differs amongst companies, sectors and countries, and the driving forces for adoption and preparations for AI use. Introduction 1,600 IT and business decision makers were interviewed from organizations of more than 1,000 employees with $500M or more annual revenue From a range of sectors and across seven countries: US UK France Germany Australia China India
- 3. 3 Current Status and Motivation 28% 25% 20% 15% 5% 4% 2% Competitor advantage Executive-led decision Particular business, operational or technical problem Internal experiment Customer demands Unexpected solution to problem Offshoot of another project Driving forces for AI deployment 44% have or plan to deploy expert systems (software that leverages databases and repositories to assist decision-making) 39% revenue rise by 2020 expected as a result of AI 25%of companies surveyed have already fully deployed at least one AI solution, with it delivering positive results
- 4. 4 Preparing for AI But alongside these key elements, many organizations recognize the value that outside specialist help can offer… 60%are investing in supporting IT infrastructure 53%are developing knowledge within the business to assist with planning 46% for knowledge gathering 40% 54%are looking at predictive or prescriptive analytics 51%are looking at machine learning 65%of respondents say that their organization has deployed or plans to deploy big data automation for collecting, processing and storing data
- 5. 5 Journey to AI Maturity 25% 11% 29% 7% 9% 10% 9% Scale of AI deployment 25% have fully deployed AI and report that it is delivering to their expectations 9% have no intention of considering AI, but this is the minority Fully deployed and they are working as expected Fully deployed but they are not delivering to expectations Partially deployed and they are working as expected Partially deployed but they are not delivering to expectations Limited deployment, results unknown No deployment but we plan to in the future No plans to deploy $6.7 millionin them in the last year. On average, respondents’ organizations that have fully, or partially, deployed AI-based technologies have invested
- 6. 6 Defining Maturity Groups Based on the score that they achieved, respondents were placed into one of five groups reflecting their organizations’ AI maturity. The maturity index defines five key maturity groups: 12% 21% 38% 21% 9% Sceptics Watchers Explorers Rising stars Visionaries No current AI deployment Lacking AI related skills Do not see a strong link between AI deployment and future strategy success Early stages of use AI related skills remain low Link between AI deployment and strategy success is more recognized AI related skills on the increase More initiatives planned for AI in the coming 12 months Greater level of AI related skills Increasing number of supporting activities for AI AI is seen as key to strategic success AI deployed successfully throughout the organization AI related skill levels are high Greater number of AI technologies deployed AI is a central tenet in the success of the future strategy LEAST AI MATURE MOST AI MATURE
- 7. 7 AI Maturity Levels – by Country 56 55 53 46 44 44 40 China India Germany US UK France Australia Average survey score by country
- 8. 8 AI Maturity Levels – by Industry 58 545251505050 47 44 32 Average survey score by industry
- 9. 9 Barriers to Adoption 54%54% 49% 47%47% 37% Employee fear of change Lack of in-house skills to implement and manage Lack of knowledge about where AI can assist Concerns about handing over control Cultural acceptance Senior management resistance Barriers to AI adoption Very few advances in technology have come so closely entwined with the issue of ethics as AI does. It is an area that touches all stakeholders – management, employees, customers and the wider world. 10%of respondents believe that their organization is fully maximizing the benefits of AI currently Only
- 10. 10 Ethical Implications 36% 30% 20% 8% 6% Consideration of AI ethics Yes, completely No, only partially No, not at all but we should do No, not at all and we don’t think it is relevant I don’t know 53%believe ethical concerns stop AI from being as effective as it can be 36%believe that their organization has completely considered the ethical issues relating to the use of AI
- 11. 11 Employee Concerns 34% believe increased impact on privacy to be among the chief areas to address 43% employee concerns around safety of data 28%believe that AI’s impact will go beyond concerns about the day- to-day job and will also have an impact on their employees’ human dignity, such as their sense of self-worth With employees tasked with the successful implementation, management and use of AI technologies, these are fears that cannot be ignored
- 12. 12 Future for the Employee 75%are currently or planning to replace workforce resources with technology 80%of companies replacing roles with AI technologies will redeploy displaced employees
- 13. 13 Required AI Skills in Organizations The level and sophistication of skills will rise with decision makers believing active learning (58%), complex problem solving (53%) and critical thinking (46%) to be key. Creativity (46%) and logical reasoning (43%) also come into play, highlighting a growing need for employees who can learn quickly, think on their feet and overcome problems efficiently in order to succeed in an AI-driven environment. According to respondents, future education is vital, with the most important academic subjects for future generations are computer sciences (72%), business and management (47%) and mathematics (45%).
- 14. 14 Broader AI Benefits and Impact 76% 70% 65% 64% 53% 39% 35% AI opinions 65%of decision makers believe AI will bring out the best in their organization’s people The benefits of AI will eventually spread beyond the organization and into the macro environment 76% feel AI will deliver positive economic change 70% feel AI will deliver positive societal change I believe AI will deliver positive economic change I believe AI will deliver positive societal change I believe AI will bring out the best in my organization’s people The future growth of my organization is dependent upon large scale AI adoption Ethical concerns significantly stop AI being as effective as it can be We are willing to sacrifice employee satisfaction for the benefits of AI We are willing to sacrifice customer service for the benefits of AI
- 15. Copyright © 2017 Infosys Limited Visit Infosys.com/AImaturity Thank You to find out more about the AI Maturity Index and the survey results