埃森哲：AI建立規模(英文版)（22頁）.pdf

1、Provocative thinking, transformative insights, tangible outcomes AI: BUILT TO SCALE From experimental to exponential Achieve competitive agility About the authors Ketan leads Strategy data modelers; machine learning, data and AI engineers; visualization experts; data quality, training and communicat

2、ions specialists. Its a lesson Strategic Scalers have learned well. In fact, a full 92% of them leverage multi-disciplinary teams. Embedding them across the organization is not only a powerful signal about the strategic intent of the scaling effort, it also enables faster culture and behavior change

3、s. In contrast, those still in Proof of Concept are more likely to rely on a lone champion within the technology organization to drive AI efforts. The “A” and “I” in team A leading global convenience store chain with $60B in revenue and 16,000 locations sought to gain a more competitive position to

4、stave off more agile rivals. They leveraged data science to price their products more competitively to better match customer demand across global markets. Leveraged machine learning and automation to increase pricing frequency. And established virtual agents to interact with their global category ma

5、nagement teams to drive adoption of the new pricing approach. All of these changes were made possible thanks to multi-disciplinary teams with skills in areas like data engineering, visualization, data quality, and human-centered design. The initiative is expected to deliver an expected US$300 millio

6、n in gross profit uplift annually once fully scaled. of Strategic Scalers leverage multi-disciplinary teams 92% 15AI: BUILT TO SCALE All hands on deck Companies achieving success scaling AI initiatives are more likely than their Proof of Concept counterparts to ensure their employees are prepared fo

7、r the journey: Formal training: 1.5x Fully understand how AI applies to role: 2x Understand & implement responsible AI: 1.7x As companies journey toward maturity in scaling AI, new skill sets emerge as critical to success. Things like human-centric design and social and behavioral sciences to drive

8、responsible business practices. The better the blend of skills, the more sustainable the end result. Those leading the pack ensure employees have ongoing formal training, an understanding of how AI applies to their role, and understand and implement responsible AI. Because AI teams are embedded thro

9、ughout the organization, and not cordoned off in special projects, the wider employee base has an opportunity to work side-by-side with them and appreciate how AI accelerates organizational goals. Experience is another differentiator when it comes to success. Nearly half of all Strategic Scalers com

10、pared with just a third of respondents in Proof of Concept report having the necessary experience. The sheer volume speaks for itself: Strategic Scalers have successfully scaled 114 initiatives on average, compared with just 53 for those in Proof of Concept. 16AI: BUILT TO SCALE Realizing the potent

11、ial Industrializing for Growth is a dynamic destination. Its important to note that Industrializing for Growth is a dynamic destination that changes as technology evolves. From our experience, we know of three additional variables that speed companies along their journey to the ultimate destination:

12、 A data-driven culture where AI is driving exponential returns. Focus on the I in ROI The C-suite views AI investment as the cost of doing business. They earmark budget for AI recognizing its criticality for future growth and spend without the need to prove ROI in advance to justify the investment.

13、Adopt a digital platform mindset to scale The two main objectives of platforms are acceleration and extended value. Publishing data on a platform once for products to consume through APIs and microservices is more cost effective. It also drives scale by breaking down silos and democratizing data and

14、 insights enabling greater collaboration and innovation across the enterprise and broader ecosystem of partners. Build trust through Responsible AI Responsible AI entails creating a framework that ensures the ethical, transparent and accountable use of technologies in a manner consistent with user e

15、xpectations, organizational values and societal laws and norms. Responsible AI can guard against the use of biased data or algorithms, ensure that automated decisions are justified and explainable, and help maintain user trust and individual privacy. 17AI: BUILT TO SCALE Scaling to new heights of co

16、mpetitiveness There are reams of information on the “what” of AI. But scaling new heights of competitiveness with AI requires understanding the “how.” And at times eschewing conventional wisdom that continues to emerge as AI evolves. Its not just about SPEED Its about moving deliberately, in the rig

17、ht direction. Its not just about MONEY Its about aligning your investments to the right places with the intention of driving large-scale change. Its not just about MORE DATA Its about investing in your data, deliberately yet pragmatically, to drive the right insights. Its not just about a SINGLE LEA

18、DER Its about building multi-disciplinary teams that bring the right capabilities. 18AI: BUILT TO SCALE Scaling the exponential power of AI with digital platforms across the enterprise is a journey. Those that take on the lessons of each path will reach a place where business strategies are seamless

19、ly fused with analytics, leverage a reusable data foundation, and scale through platforms. The result: Industrialized growth through unassailable competitive strength in everything from organizational effectiveness to brand perception and trust. Smooth scaling Contact the authors to find out more ab

20、out how to increase value through scaling AI. 19AI: BUILT TO SCALE About the research Our research involved 1,500 C-suite executives from companies with a minimum revenue of US$1 billion in 12 countries around the world across 16 industries, with the aim to uncover the success factors for scaling AI

21、. Our research, and that of our partners in our ecosystem, employs ethical and responsible research methods. Respondents reveal their identities voluntarily, we anonymize all data from companies in our data set, and report results in aggregate. We commit to not using the data collected to personally

22、 identify the respondents and/or contact the respondents. Titles Chief Information Officer (CIO) (441) Chief Financial Officer (CFO) (231) Chief Operating Officer (COO) (215) Chief Digital Officer (136) Chief Innovation Officer (114) Chief Data and/or Analytics Officer (113) Chief AI Officer (93) Ch

23、ief Strategy Officer (59) VP/SVP of AI/ Data/Analytics (98) 16 industries Banking & Capital Markets (100) Chemicals (100) Communications (100) Consumer Goods & Services (100) Energy (Oil & Gas) (100) Healthcare (Payers) (100) High Tech (100) Industrial Equipment (100) Insurance (100) Life Sciences (

24、Pharma & Biotech) (100) Metals and Mining (100) Retail (100) Software & Platforms (100) Travel & Transport (Hotels & Passenger) (100) Utilities (100) 12 Countries Brazil (115) Canada (113) China (139) France (105) Germany (116) India (126) Italy (113) Japan (117) Singapore (101) Spain (106) United K

25、ingdom (116) United States (233) US$10.1 - $30 billion More than US$30 billion US$5.1 - $10 billion US$1 - $5 billion 510 469 323 198 Revenue (n=1,500) 20AI: BUILT TO SCALE Contributors Dhruv Jain Senior Principal, Accenture Strategy Sandra Reese Managing Director, Accenture Strategy Chad Vaske Seni

26、or Manager, Accenture Applied Intelligence AccentureStrat accenture-strategy AccentureAI accentureai/ Join the conversation Lynn LaFiandra Senior Principal, Accenture Research 21AI: BUILT TO SCALE Copyright 2019 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Acce

27、nture. About Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business fun

28、ctions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 482,000 people serving clients in more than 120 countries, Accenture drives inn

29、ovation to improve the way the world works and lives. Visit us at About Accenture Strategy Accenture Strategy combines deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. By identifying clear, actionable pa

30、ths to accelerate competitive agility, Accenture Strategy helps leaders in the C-suite envision and execute strategies that drive growth in the face of digital transformation. For more information, follow AccentureStrat or visit About Accenture Applied Intelligence Applied Intelligence is Accentures

31、 approach to scaling AI for our clients. We embed AI-powered data, analytics and automation capabilities into business workflows to accelerate time to value. Our expertise in defining end-to-end strategy, combined with deep data infrastructure capabilities, cognitive services and industrialized acce

32、lerators help smooth clients path to AI adoption, extending human capabilities and supporting clients in scaling AI responsibly. Recognized as a leader by industry analysts, we collaborate with a powerful global alliance, innovation and delivery network to help clients deploy and scale AI within any

33、 market and industry. Follow AccentureAI and visit About Accenture Research Accenture Research shapes trends and creates data-driven insights about the most pressing issues global organizations face. Combining the power of innovative research techniques with a deep understanding of our clients indus

34、tries, our team of 300 researchers and analysts spans 20 countries and publishes hundreds of reports, articles and points of view every year. Our thought-provoking researchsupported by proprietary data and partnerships with leading organizations, such as MIT and Harvard guides our innovations and allows us to transform theories and fresh ideas into real-world solutions for our clients. For more information, visit