Artificial Intelligence Future of Business
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1) Artificial intelligence is the single biggest technology revolution the world has ever seen. It allows machines to sense, comprehend, act, and learn autonomously like humans. 2) There are common concerns about AI related to job losses, inclusion and diversity, lack of transparency, and ethical issues. Responsible AI focuses on keeping humans at the center and complying with regulations and ethical standards. 3) Companies can begin their AI journey by using it to intelligently automate processes, enhance human judgement, improve interactions, create new intelligent products, and build trust through responsible use. Illustrative examples show AI can significantly increase enterprise value over 10 years.
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Artificial Intelligence Future of Business
- 1. ARTIFICIAL INTELLIGENCE The future of BusinessCopyright © 2018 Accenture All rights reserved.
- 2. AI HAS CREATED THE SINGLE BIGGEST TECHNOLOGY REVOLUTION THE WORLD HAS EVER SEEN. 2Copyright © 2018 Accenture All rights reserved.
- 3. Mainframe Client-Server and PCs Web 1.0 eCommerce Web 2.0, Cloud, Mobile Big Data, Analytics, Visualization IoT and Smart Machines Artificial Intelligence Quantum Computing Quantum WE ARE IN AN UNPRECEDENTED PERIOD OF TECHNOLOGY INNOVATION 1950 Turing Test AI 3Copyright © 2018 Accenture All rights reserved.
- 4. WHAT IS ARTIFICIAL INTELLIGENCE (AI)? 4 IT IS THE SINGLE BIGGEST TECHNOLOGY REVOLUTION THE WORLD HAS EVER SEEN. Many technologies have evolved and combined to create three foundational skills in software today. The new catalyst essential to AI is the ability to autonomously learn, adapt, and improve – at increasingly lower costs. SENSE Perceive the world by acquiring and processing images, sounds and speech. COMPREHEND Analyze and understand the information collected by adding meaning and insights. ACT Take action in the physical world based on comprehension and understanding. LEARN Improve performance (quality, consistency, and accuracy) based on real world experiences. Copyright © 2018 Accenture All rights reserved.
- 5. AI TECHNOLOGIES, CAPABILITIES AND SOLUTIONS Semantic analysis Content classification Natural language search Machine translation Emotion detection Language detection … Language Object recognition Face recognition Object tracking Optical character recognition Handwriting recognition Emotion detection Gender/age detection Scene recognition … Vision Speech to text/ Diarization Speech recognition Text to speech Emotion detection Language detection Sound recognition Gender/age detection Speaker detection … Sound Capabilities Machine Learning, Deep Learning Solutions HighPerformanceBusinessProcesses Data/Knowledge/Experience Unlock Value in Dark Data Intelligent Process Transformation Intelligent Products Open Source, Platforms (Google, Microsoft, Watson, Facebook, Amazon…), Specialist Products Intelligent Enterprise Strategy Technologies Virtual Agents Text Analytics Software Robotics Video Analytics Unique Identity Caseload Analytics 5Copyright © 2018 Accenture All rights reserved.
- 6. Copyright © 2018 Accenture. All rights reserved. 6 WHAT ARE COMMON CONCERNS ABOUT AI?
- 7. Copyright © 2017 Accenture All rights reserved. INTERNAL USE ONLY 7 JOB APOCALYPSE INCLUSION & DIVERSITY THE SINGULARITY LACK OF TRANSPARENCY ETHICAL ISSUES COMMON ETHICAL ISSUES RAISED BY AI ARTIFICIAL STUPIDITY PRIVACY
- 8. WHAT IS RESPONSIBLE AI? HUMAN AT THE CENTER REGULATORY/ POLITICAL COMPLIANCE ETHICAL DESIGN Offer a range of services that enable the introduction of AIs at companies that are compatible with the wellness of the enterprise’s human stakeholders (employee, customers, etc.) Architect and implement solutions that comply with ethical AI design standards (e.g. IEEE) and provide transparency to the process Influence and evolve with government regulations and public sentiment on RAI guidelines SUCCESSFUL AI IMPLEMENTATIONS REQUIRE MORE THAN TECHNOLOGY. Copyright © 2018 Accenture All rights reserved. 9
- 9. AI: WHERE TO BEGIN? 11 Copyright © 2018 Accenture All rights reserved.
- 10. RESULTING IN BENEFITS FROM ADOPTION ILLUSTRATION OF HOW AI CAN HELP RESTORE AND ACCELERATE VALUE. AI VALUE LEVERS SIGNIFICANTLY ACCELERATES GROWTH, PROFITABILITY, AND SUSTAINABILITY. Illustrative Increase in Enterprise Value Growth in 10 Years INTELLIGENT AUTOMATION Annual Value Today Value With AI Value Levers 10-20% 15-25% 10-20% 20-30% 10-15% Cognitive added to automation technologies to: self learn, act autonomously and proactively. ENHANCED JUDGEMENT Leverage AI capabilities to augment Human intelligence on core Human-driven Processes. ENHANCED INTERACTION Deliver superior experiences to customers and users through hyper- personalization. INTELLIGENT PRODUCTS Applying AI into new & innovative products, services, and new business models. ENHANCED TRUST Build organization trust using AI solutions, but also ensuring ethical use of AI. 12Copyright © 2018 Accenture All rights reserved.
- 11. HOW TO CREATE VALUE FROM AI: USE CASES 15Copyright © 2018 Accenture All rights reserved.
Notes de l'éditeur
- Sense: Language, Vision, and Sound recognition. Examples of physical (LIDAR sensors in vehicles) and virtual world (e.g., video feed). Aspects of speech recognition, natural language processing, emotion detection, language translation, machine vision, face recognition. Neural Networks are used during training to improve the models – and refine the models – to be more accurate. Comprehend: Make logical inferences and analyze information based on a given knowledge base and rules to draw logical conclusions. For an autonomous vehicle, the radar and visual sensors can identify signs, and the knowledge allows the AI to know what the sign means (e.g., speed limit is 35mph). Act: Takes action, can be to communicate back a response, control physical actuators, control virtual actuators. Example is the autonomous vehicle acting based on the speed limit to slow the vehicle. Learn: the initial learning is based on training the AI to improve – usually based on training data. A set of information that is structured for the AI to adjust underlying machine learning algorithms to where it can validate the results to obtain the most accurate model (based on the rules provided). For handwriting recognition, the neural network can incorporate the pixels to develop a model that can be accurate 95%. Meaning that the it can accurately identify the letters written – this training is done without human involvement.
- Us auto industry today is $60b
- Low Barriers to Entry: Open source capabilities, the quick adoption of AI capabilities from APIs/Products, will increase the adoption of AI solutions that can drive significant value to an organization. The competition will building solutions, changing the nature of competition The exponential aspects of AI, the ability to increase performance as cost decreases, and learn/improve based on regular use/improvement from data, has made the strategy of being a fast follower potentially outdated. High performing organizations are adopting AI solutions (e.g., Google) and are using in their products today. It will be difficult to catch-up if the investment doesn’t begin today. From Tech Vision Trend prediction - in 5 years more than 50% of customers will pick services based on the AI instead of the traditional brand Accenture Technology Vision 2017 Survey of more than 5,400 IT and business executives, 79% agree that AI will help accelerate technology adoption throughout their organizations. 85% of executives we surveyed report they will invest extensively in AI-related technologies over the next three years.
- Us auto industry today is $60b