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g-f(2)756 THE BIG PICTURE OF BUSINESS ARTIFICIAL INTELLIGENCE (12/24/2021), geniouxfacts, 10 key FACTS of artificial intelligence






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10 key FACTS of artificial intelligence  



The maturity of artificial intelligence (AI) was evident this year, as the conversations in the industry shifted focus from deployment and innovation to ethics and legislation of algorithms. g-f(2)744 

This is the list of 10 key FACTS of artificial intelligence:
  1. Artificial intelligence (AI) is a relatively simple concept with extraordinary implications.
  2. Most of the AI deployed today, while novel and impressive, still falls under a category of “specialized AI.”
  3. There are countless cases where artificial intelligence is the best-known solution.
  4. Companies seeing the highest bottom-line impact from AI exhibit overall organizational strength and engage in a clear set of core best practices.
  5. Organizations can gain more business value from advanced analytics by recognizing and overcoming five common obstacles.
  6. It’s hard enough to create a data-driven culture, compete on analytics, develop data-driven products and services, and so forth under normal business conditions. Doing it while your business and industry are transforming — the old line of changing out a jet engine while the plane is flying through turbulence at 35,000 feet — is really tough.
  7. Artificial general intelligence (AGI), the idea of a truly artificial human-like brain, remains a topic of deep research interest but a goal that experts agree is far in the future. 
  8. The ability to adapt to entirely novel situations is still an enormous challenge for AI and robotics, a key reason for companies’ continued reliance on human workers for a variety of tasks.
  9. From a work perspective, these technologies tend to be task oriented, that is they execute limited sets of tasks, more than the full set of activities comprising an occupation.
  10. Only when companies are able to earn a social license, winning the trust of employees, customers, and society at large, will they have what is required for the sustained use of AI at scale.


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      5 key FACTS of artificial intelligence



      1. Artificial intelligence (AI) is a relatively simple concept with extraordinary implications.
      • g-f(2)732 THE BIG PICTURE OF THE DIGITAL AGE (12/15/2021), LABMATE, What is Artificial Intelligence
        • g-f(2)719 THE BIG PICTURE OF THE DIGITAL AGE (12/10/2021), yahoo!finance, Survey suggests 84% of Americans are illiterate about AI — so here’s a quiz to test your own AI IQ
        • g-f(2)246 The Big Picture of Business Artificial Intelligence (4/26/2021), MIT Sloan School of Management, Machine learning, explained.
        • g-f(2)707 THE BIG PICTURE OF THE DIGITAL AGE (12/6/2021), geniouxfacts, A Stanford Playlist That Is An Exceptional "Full Pack Golden Knowledge Container" On AI
        • g-f(2)729 THE BIG PICTURE OF THE DIGITAL AGE (12/14/2021), McKinsey Global Survey, The state of AI in 2021
        • g-f(2)225 The Big Picture of Business Artificial Intelligence (4/17/2021), HAI (Stanford), Artificial Intelligence Index Report 2021.
        • g-f(2)226 The Big Picture of Business Artificial Intelligence (4/17/2021), HAI (Stanford), State of AI in 10 Charts.
        • g-f(2)227 The Big Picture of Business Artificial Intelligence (4/17/2021), IEEE Spectrum, 15 Graphs You Need to See to Understand AI in 2021.
        • g-f(2)214 THE BIG PICTURE OF THE DIGITAL AGE (4/12/2021), WSJ, Businesses Take a Hurry-Up-and-Wait Approach to AI.
        • g-f(2)215 THE BIG PICTURE OF THE DIGITAL AGE (4/12/2021), WSJ, Why We Need New Benchmarks for AI.
        • g-f(2)245 The Big Picture of the Digital Age (4/26/2021), National Defense Magazine, Introducing the Emerging Technologies Institute.
        • g-f(2)244 The Big Picture of the Digital Age (4/25/2021), UNCTAD, A few developing countries overperform on frontier technologies, but most lag behind.
        • g-f(2)5 McKinsey Global Survey: The state of AI in 2020
        • g-f(2)342 The big picture of the digital age (6/25/2021), AP, Global 5G, Quantum Computing and Artificial Intelligence (AI) Technology Trends Report 2021 - ResearchAndMarkets.com
      • It’s used to describe a form of intelligence exhibited by machines, in comparison to the “natural” intelligence demonstrated by human beings and other animals.
      • From medical research and genetic sequencing to self-driving vehicles and virtual assistants, AI has infiltrated our daily lives and is now considered the norm.
      • Machine Learning g-f(2)246 
        • This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how it’s being used.
        • Machine learning is behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented. It powers autonomous vehicles and machines that can diagnose medical conditions based on images. 
        • When companies today deploy artificial intelligence programs, they are most likely using machine learning — so much so that the terms are often used interchangeably, and sometimes ambiguously. 
        • Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.
        • A 2020 Deloitte survey found that 67% of companies are using machine learning, and 97% are using or planning to use it in the next year.


      2. Most of the AI deployed today, while novel and impressive, still falls under a category of “specialized AI.”
      • g-f(2)82 THE BIG PICTURE OF THE DIGITAL AGE, MIT TASK FORCE ON THE WORK OF THE FUTURE, AI Today, and the General Intelligence of Work.
      • Most of the AI deployed today, while novel and impressive, still falls under a category of what Task Force member, AI pioneer, and Director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) Daniela Rus calls “specialized AI.”
        • That is, these systems can solve a limited number of specific problems.
        • They look at vast amounts of data, extract patterns, and make predictions to guide future actions.
        • “Narrow AI solutions exist for a wide range of specific problems,” write Rus and MIT Sloan School Professor Thomas Malone, “and can do a lot to improve efficiency and productivity within the work world.”
        • The systems we will explore below in insurance and healthcare all belong to this class of narrow AI, though they vary in different classes of machine learning, computer vision, natural language processing, or others.
        • By their reliance on largely human-generated data, they excel at producing behaviors that mimic human data on well-known tasks (potentially including human biases).


      3. There are countless cases where artificial intelligence is the best-known solution.
      • g-f(2)444 THE BIG PICTURE OF THE DIGITAL AGE, geniouxfacts, "g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital age, Artificial intelligence cases (8/24/2021)
        • g-f(2)729 THE BIG PICTURE OF THE DIGITAL AGE (12/14/2021), McKinsey Global Survey, The state of AI in 2021
        • g-f(2)660 THE BIG PICTURE OF THE DIGITAL AGE (11/16/2021), MIT SMR + BCG, ME, MYSELF AND AI, EPISODE 303, is an exceptional "Full Pack Golden Knowledge Container"
        • g-f(2)656 THE BIG PICTURE OF THE DIGITAL AGE (11/15/2021), MIT SMR + BCG, ME, MYSELF AND AI, EPISODE 302, is an exceptional "Full Package Golden Knowledge Container"
        • g-f(2)703 THE BIG PICTURE OF THE DIGITAL AGE (12/3/2021), MIT SMR + BCG, ME, MYSELF AND AI, EPISODE 304, is an exceptional "Full Pack Golden Knowledge Container"
        • g-f(2)631 THE BIG PICTURE OF THE DIGITAL AGE (11/4/2021), MIT SMR + BCG, The Cultural Benefits of Artificial Intelligence in the Enterprise
        • g-f(2)629 THE BIG PICTURE OF THE DIGITAL AGE (11/4/2021), geniouxfacts, The MIT SMR + BCG report is an exceptional “Full Pack Golden Knowledge Container”
        • g-f(2)626 THE BIG PICTURE OF THE DIGITAL AGE (11/3/2021), MIT SMR + BCG, Outstanding Research Report on AI
        • g-f(2)717 THE BIG PICTURE OF THE DIGITAL AGE (12/9/2021), WaPo, New artificial intelligence tool detects most common climate falsehoods
        • g-f(2)723 THE BIG PICTURE OF THE DIGITAL AGE (12/11/2021), WSJ, Computers Revolutionized Chess. Magnus Carlsen Wins by Being Human
        • g-f(2)438, g-f(2)434, g-f(2)431, g-f(2)422, g-f(2)392, g-f(2)386, g-f(2)421, g-f(2)417, 
      • The Deloitte AI Institute™ today unveiled a new report that examines the most compelling business use cases for artificial intelligence (AI) across six major industries. 
      • The report, “The AI Dossier,” helps business leaders understand the value AI can deliver today and in the future so that they can make smarter decisions about when, where and how to deploy AI within their organizations.


      4. Companies seeing the highest bottom-line impact from AI exhibit overall organizational strength and engage in a clear set of core best practices.
      • g-f(2)729 THE BIG PICTURE OF THE DIGITAL AGE (12/14/2021), McKinsey Global Survey, The state of AI in 2021
      • Michael Chui, partner, McKinsey Global Institute, San Francisco: What we’ve said in the past about “following the money” to find where AI adds value in organizations still holds true. At the industry level, companies continue to use AI in areas that are most fundamental to where value is generated in each sector. And, overall, many companies focused on growth in 2019 (we asked about last year’s revenue and cost effects from AI); for that reason, it’s likely that we saw more companies driving revenues with AI rather than decreasing their costs—not because AI can’t effectively reduce costs.
      • 50% of respondents report that their companies have adopted AI in at least one business function.
        • 57% of respondents in emerging economies report adoption, up from 45 percent in 2020
        • 27% of respondents report at least 5% of EBIT attributable to AI
        • 64% of high performers’ AI workloads run on public or hybrid cloud, compared with 44 percent at other companies.
      • About the research
        • The online survey was in the field from May 18 to June 29, 2021, and garnered responses from 1,843 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 1,013 said their organizations had adopted AI in at least one function and were asked questions about their organizations’ AI use. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.


      5. Organizations can gain more business value from advanced analytics by recognizing and overcoming five common obstacles.
      • g-f(2)168 THE BIG PICTURE OF BUSINESS ARTIFICIAL INTELLIGENCE (3/14/2021), MIT SMR, Why So Many Data Science Projects Fail to Deliver.
      • Organizations can gain more business value from advanced analytics by recognizing and overcoming five common obstacles.
        • Mistake 1: The Hammer in Search of a Nail 
          • It’s not exactly rocket science to observe that analytical solutions are likely to work best when they are developed and applied in a way that is sensitive to the business context.
        • Mistake 2: Unrecognized Sources of Bias 
          • The bigger problem for companies seeking to achieve business value from data science is how to discern sources of bias upfront and ensure that they do not creep into models in the first place.
        • Mistake 3: Right Solution, Wrong Time 
          • The lack of synchronization between data science and the priorities and processes of the business. 
          • To avoid it, better links between data science and the strategies and systems of the business are needed.
        • Mistake 4: Right Tool, Wrong User 
          • There is a need to pay attention to how the outputs of analytical tools are communicated and used. 
          • To generate full value for customers and the business, user experience analysis should be included in the data science design process.
        • Mistake 5: The Rocky Last Mile 
          • Companies can involve data scientists in the implementation of solutions. 
          • One bank in our study achieved this by adding estimates of the business value delivered by data scientists’ solutions to their performance evaluations. 



      Condensed knowledge





      Genioux knowledge fact KBP Graphic



      Lessons learned 

          5 key FACTS of artificial intelligence



          6. It’s hard enough to create a data-driven culture, compete on analytics, develop data-driven products and services, and so forth under normal business conditions. Doing it while your business and industry are transforming — the old line of changing out a jet engine while the plane is flying through turbulence at 35,000 feet — is really tough.
          • g-f(2)262 The Big Picture of Business Artificial Intelligence (5/5/2021), MIT SMR, Embracing AI When Your Industry Is in Flux.
          • Parexel International, one of the world’s leading clinical research organizations, is attempting to take an aggressive approach to artificial intelligence.
          • The industry changes that Parexel and its competitors are experiencing are dizzying. 
          • Parexel International has been in business for more than 35 years.
          • They are using data, analytics, and AI not only to keep up with industry changes but to get ahead of and shape the transformation of biopharmaceutical and clinical research for the benefit of patients around the world.


          7. Artificial general intelligence (AGI), the idea of a truly artificial human-like brain, remains a topic of deep research interest but a goal that experts agree is far in the future.
          • g-f(2)82 THE BIG PICTURE OF THE DIGITAL AGE, MIT TASK FORCE ON THE WORK OF THE FUTURE, AI Today, and the General Intelligence of Work.
            • g-f(2)80 THE BIG PICTURE OF THE DIGITAL AGE, MIT, The Work of the Future: Building Better Jobs in an Age of Intelligent Machines.
            • g-f(2)81 THE BIG PICTURE OF THE DIGITAL AGE, MIT TASK FORCE ON THE WORK OF THE FUTURE, Enable decision-makers to ask the right questions.
            • g-f(2)154 The Big Picture of Artificial Intelligence, MIT Technology Review, “We’ll never have true AI without first understanding the brain”.
            • g-f(2)320 The Big Picture of Business Artificial Intelligence (6/14/2021), VB, DeepMind says reinforcement learning is ‘enough’ to reach general AI
          • A current point of debate around AGI highlights its relevance for work. MIT professor emeritus, robotics pioneer, and Task Force Research Advisory Board member Professor Rodney Brooks, argues that the traditional “Turing test” for artificial intelligence should be updated.
          • The old standard was a computer behind a wall, with which a human could hold a textual conversation and find indistinguishable from another person. This goal was achieved long ago with simple chatbots which few argue represent AGI.
          • In a world of robotics, as the digital world increasingly mixes with the physical world, Brooks argues for a new standard for artificial general intelligence: the ability to do complex work tasks that require other types of interactions with the world. 
          • Brooks’s idea captures the sense that today’s intelligence challenges are problems of physical dexterity, social interaction, and judgment as much as they are of symbolic processing. 
          • These dimensions remain out of reach for current AI, which has significant implications for work. Pushing Brooks’s idea further, the future of AI is the future of work.


          8. The ability to adapt to entirely novel situations is still an enormous challenge for AI and robotics, a key reason for companies’ continued reliance on human workers for a variety of tasks.
          • g-f(2)82 THE BIG PICTURE OF THE DIGITAL AGE, MIT TASK FORCE ON THE WORK OF THE FUTURE, AI Today, and the General Intelligence of Work.
            • g-f(2)80 THE BIG PICTURE OF THE DIGITAL AGE, MIT, The Work of the Future: Building Better Jobs in an Age of Intelligent Machines.
            • g-f(2)81 THE BIG PICTURE OF THE DIGITAL AGE, MIT TASK FORCE ON THE WORK OF THE FUTURE, Enable decision-makers to ask the right questions.



          9. From a work perspective, these technologies tend to be task oriented, that is they execute limited sets of tasks, more than the full set of activities comprising an occupation.


          10. Only when companies are able to earn a social license, winning the trust of employees, customers, and society at large, will they have what is required for the sustained use of AI at scale.
          • g-f(2)548 THE BIG PICTURE OF THE DIGITAL AGE (10/7/2021), MIT SMR, AI-at-Scale Hinges on Gaining a ‘Social License’
          • g-f(2)686 THE BIG PICTURE OF THE DIGITAL AGE (11/27/2021), UNESCO, UNESCO member states adopt the first ever global agreement on the Ethics of Artificial Intelligence
          • g-f(2)701 THE BIG PICTURE OF THE DIGITAL AGE (12/3/2021), Aljazeera, Artificial intelligence must not exacerbate inequality further



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          References


          “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)756, Fernando Machuca, December 24, 2021, blog.geniouxfacts.com, geniouxfacts.com, Genioux.com Corporation.


          ABOUT THE AUTHORS


          PhD with awarded honors in computer science in France

          Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a disruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts". The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.




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