Showing posts with label The evolution of AI in 2022. Show all posts
Showing posts with label The evolution of AI in 2022. Show all posts

Friday, January 14, 2022

g-f(2)816 The New World (1/14/2022), HBR Analytic Services, AWS, AWS perspective: AI and ML have the potential to transform nearly every industry


VIRAL KNOWLEDGE: The “genioux facts” knowledge news


The New World NEWS

If you only have some seconds




ULTRA-condensed knowledge


"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageThe New World, AI in 2022 (12/14/2021)  g-f(2)426 


Lessons learned, AWS

EXCEPTIONAL “Full Pack Golden Knowledge Container”


AI and ML have the potential to transform nearly every industry 


      • Recent Gartner research shows that only 53% of ML projects make it from prototype to production. Chief information officers and IT leaders find it hard to scale AI/ML projects because they lack the tools and talent to create and manage a production-grade AI pipeline. Data is often cited as the number one challenge. The other common barriers we see today are business- and culture-related.


                Genioux knowledge fact condensed as an image



                Priya Ponnapalli



                About

                I lead the Amazon Machine Learning (ML) Solutions Lab, whose mission is to work with companies and organizations from all industries to solve their business needs using AWS’s cloud-based AI and machine learning solutions. I have delivered high-impact ML products and solutions in finance (e.g., Bloomberg, JP Morgan Chase), healthcare and life sciences (e.g., Genentech, Roche), sports (e.g., NFL, Formula 1), and other sectors. Featured in articles by Forbes, Canaltech, Gartner, Intelligent Automation, Exame, Stadia Magazine, and included in the Business Insider list of 100 people transforming business in 2021 in the Emerging Tech category. I am passionate about making ML accessible to all and making the technology industry more diverse.



                Extra-condensed knowledge



                Lessons learned, AWS

                Dr. Priya Ponnapalli

                Golden Knowledge (GK) Juice


                • For instance, organizations often struggle to identify the right use cases to start their ML journey, which is often exacerbated by a shortage of skilled talent to execute on an organization’s ML ambitions. Business and technical leaders play a critical role in addressing these challenges by driving a culture of continuous learning and innovation; however, many lack the resources to develop their own knowledge of ML and its use cases. 
                • According to “The State of AI in 2021,” McKinsey & Co.’s global survey, there are certain best practices that differentiate AI/ML high performers from those that struggle to see the full value of AI/ML. On the technical front, the companies seeing the biggest bottom-line impact from AI adoption are more likely to follow both core and advanced AI best practices, including ML operations, move their AI work to the cloud, and spend on AI more efficiently.
                • g-f(2)729 THE BIG PICTURE OF THE DIGITAL AGE (12/14/2021), McKinsey Global Survey, The state of AI in 2021


                Condensed knowledge




                Lessons learned, AWS

                Dr. Priya Ponnapalli

                Golden Knowledge (GK) Juice


                • In my role as leader of the Amazon Machine Learning Solutions Lab, I head a global team that helps AWS customers identify and implement their most important ML opportunities. I’ve been fortunate to work with some of the most innovative organizations in the world, such as the National Football League, Formula 1, Intel, and United Airlines, as they transformed their businesses through ML. I’ve seen the challenges of ML-led transformation firsthand and helped our customers overcome them. That’s why I’m very excited to present this research from Harvard Business Review Analytic Services that not only uncovers some of the common challenges to AI/ML implementation but also offers guidance to overcome them.


                Some relevant characteristics of this "genioux fact"

                • Category 2: The Big Picture of the Digital Age
                • [genioux fact deduced or extracted from HBR Analytic Services + AWS]
                • This is a “genioux fact fast solution.”
                • Tag Opportunities those travelling at high speed on GKPath
                • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
                • Type of validity of the "genioux fact". 

                  • Inherited from sources + Supported by the knowledge of one or more experts.


                References


                “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)816, Fernando Machuca, January 14, 2022, blog.geniouxfacts.comgeniouxfacts.comGenioux.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.




                Key “genioux facts”


                • Some relevant and recent "genioux facts" from the g-f golden knowledge pyramid to master the big picture of the digital age. 
                  1. g-f(2)815 The New World (1/14/2022), WEF, Artificial intelligence: What the C-suite needs to know
                  2. g-f(2)814 The New World (1/14/2022), Analytics Insight, 10 WAYS ARTIFICIAL INTELLIGENCE WILL CHANGE THE WORLD IN 2022
                  3. g-f(2)813 The New World News (1/13/2022), WSJ, These TikTok Stars Made More Money Than Many of America’s Top CEOs
                  4. g-f(2)812 The New World (1/13/2022), Brookings, How countries are leveraging computing power to achieve their national artificial intelligence strategies
                  5. g-f(2)811 The New World (1/13/2022), Bloomberg, TSMC to Spend at Least $40 Billion to Address Chip Shortages
                  6. g-f(2)810 THE BIG PICTURE OF THE DIGITAL AGE (1/12/2022), Talks at Google, Bruce Hood | How Minds are Constructed
                  7. g-f(2)809 THE NEW WORLD (1/12/2022), geniouxfacts, 10 juices of ultra-condensed GK to keep pace
                  8. g-f(2)808 THE BIG PICTURE OF THE DIGITAL AGE (1/12/2022), MIT SMR + BCG, AI in the Supply Chain: Cold Chain Technologies’ Ranjeet Banerjee
                  9. g-f(2)807 THE NEW WORLD (1/11/2022), HBR, Finding Success Starts with Finding Your Purpose
                  10. g-f(2)806 The New World (1/11/2022), HBR, HBR’s Most-Read Research Articles of 2021
                  11. g-f(2)805 The New World (1/11/2022), msn money, The National, Artificial intelligence to influence top tech trends in major way in next five years
                  12. g-f(2)804 The New World (1/11/2022), MIT SMR, Six Ways Leaders Can Adapt to the Workplace of 2022
                  13. g-f(2)803 The New World (1/10/2022), Bloomberg, Uniting Grand Theft Auto and FarmVille Is a Game Changer
                  14. g-f(2)802 THE NEW WORLD (1/10/2022), WSJ, Microsoft Hit by Defections as Tech Giants Battle for Talent to Build the Metaverse
                  15. g-f(2)801 The New World (1/10/2022), Multiple GK Containers, The Great Resignation
                  16. g-f(2)800 THE BIG PICTURE OF THE DIGITAL AGE (1/9/2022), geniouxfacts, The 10 most read "genioux facts" of the month
                  17. g-f(2)799 THE BIG PICTURE OF THE DIGITAL AGE (1/9/2022), geniouxfacts, The 10 most read "genioux facts" of the week
                  18. g-f(2)798 THE BIG PICTURE OF THE DIGITAL AGE (1/8/2022), yahoo!news, AFP, Metaverse gets touch of reality at CES
                  19. g-f(2)797 THE BIG PICTURE OF THE DIGITAL AGE (1/8/2022), MIT SMR, Management Articles for Starting the New Year
                  20. g-f(2)796 The New World (1/8/2022), CNBC, How A.I. is set to evolve in 2022

                g-f(2)814 The New World (1/14/2022), Analytics Insight, 10 WAYS ARTIFICIAL INTELLIGENCE WILL CHANGE THE WORLD IN 2022


                VIRAL KNOWLEDGE: The “genioux facts” knowledge news


                The New World NEWS

                If you only have some seconds




                ULTRA-condensed knowledge


                "g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageThe New World, AI in 2022 (12/14/2021)  g-f(2)426 


                Lessons learned, Analytics Insight

                EXCEPTIONAL “Full Pack Golden Knowledge Container”


                AI is being a fast-paced technology and ruling the world with its different applications 


                    • The role of AI has modified considerably – from its preliminary creation on the threshold of an enterprise of their innovation labs to the modern-day while human beings are starting to recognize that it has the ability to convert businesses from the center out.
                    • According to the reports, AI will be better than human beings in translating languages by 2024, promoting items by 2031, and conducting surgical procedures by 2053.
                    • Let’s see the changes that AI brings in 2022:
                      1. Machine Learning
                      2. AI at the Border
                      3. AI in Education
                      4. Robots
                      5. AI in Enterprise
                      6. AI in Automobile Industry
                      7. AI in Traffic Management
                      8. AI in Metaverse
                      9. AI in Healthcare
                      10. AI as Workforce


                              Genioux knowledge fact condensed as an image


                              References





                              Extra-condensed knowledge



                              Lessons learned, Analytics Insight

                              Golden Knowledge (GK) Juice


                              1. Machine Learning
                                • Machine Learning (ML) is an application of artificial intelligence that gives systems the capacity to automatically analyze and enhance from experience without being explicitly programmed. ML specializes in the development of computer applications that may access information and use them to analyze for themselves. ML is the idea that computer software can learn and adapt to new information without human intervention.
                              2. AI at the Border
                                • AI in defense and security are absolutely unlimited. AI is frequently embedded into weapons and surveillance systems to enhance performance. It regularly enhances target recognition, flight simulation and training, and risk monitoring.
                              3. AI in Education
                                • The future of classrooms is virtual. 
                                • Educators spend a lot of time grading exams, assessing homework, and imparting important responses to their students. AI is permitting the automation of categories and processing of paperwork. The idea of schooling may be redefined from the comfort of the homes, customized in line with each students’
                              4. Robots
                                • 2022 is the year robot delivery ultimately takes off. Drones will be used for medical applications in towns handing over samples and reagents from hospitals to laboratories quicker than automobiles could drive throughout town. Detecting and deactivating bombs, working in environments wherein people can’t survive, producing items or additives repetitively.
                              5. AI in Enterprise
                                • Businesses are using AI to enhance the productiveness of their employees. The advantage of AI for enterprise is that it handles repetitive tasks throughout an organization simply so that employees can focus on creative solutions, complicated problem solving, and impactful work. 
                                • The future work may be distinctly flexible. The concept of Work From Home may be the brand new norm and virtual meetings and conferences will be the normal practice. 


                              Condensed knowledge




                              Lessons learned, Analytics Insight

                              Golden Knowledge (GK) Juice


                              6. AI in Automobile Industry

                              Artificial intelligence (AI) and self-driving automobiles are regularly complementary subjects in technology. Car producers everywhere in the globe are using artificial intelligence. AI and machine learning are being applied in how automobiles are built and the way they function on the road. 


                              7. AI in Traffic Management

                              AI now using its fast-paced different technologies such as ITMS, ATCS, LMT, Law Enforcement & many more in Traffic Management. The power of AI that propels quite a few information evaluations of these systems, is likewise what powers the navigation systems of ride-hailing in addition to last-mile delivery operators.


                              8. AI in Metaverse

                              • The metaverse is an immersive, virtual reality (VR) world that you enter through carrying VR goggles. It holds massive promise for quite a lot of sectors — from purchasing to enterprise and the arena of work.
                              • AI has the ability to parse massive volumes of information at lightning pace to generate insights and drive action. Users can either leverage AI for decision-making (that is the case for maximum agency applications), or link AI with automation for low contact processes.

                              9. AI in Healthcare

                              At the 2018 World Medical Innovation Forum (WMIF) on artificial intelligence presented by Partners Healthcare, main researchers and clinical faculty participants showcased the twelve technologies and areas of the healthcare enterprise which might be maximum in all likelihood to look a major effect from artificial intelligence. 


                              10. AI as Workforce

                              The consensus amongst many specialists is that some of the professions might be definitely computerized. A group of senior-level tech executives who contain the Forbes Technology Council named 13, which include insurance underwriting, warehouse, and production jobs, consumer service, studies and information entry, long haul trucking, and a fairly disconcertingly wide class titled “Any Tasks That Can Be Learned.” Accountants, manufacturing unit employees, truckers, paralegals, and radiologists — simply to name a few.


                              Some relevant characteristics of this "genioux fact"

                              • Category 2: The Big Picture of the Digital Age
                              • [genioux fact deduced or extracted from Analytics Insight]
                              • This is a “genioux fact fast solution.”
                              • Tag Opportunities those travelling at high speed on GKPath
                              • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
                              • Type of validity of the "genioux fact". 

                                • Inherited from sources + Supported by the knowledge of one or more experts.


                              References


                              “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)814, Fernando Machuca, January 14, 2022, blog.geniouxfacts.comgeniouxfacts.comGenioux.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.




                              Key “genioux facts”


                              • Some relevant and recent "genioux facts" from the g-f golden knowledge pyramid to master the big picture of the digital age. 
                                1. g-f(2)813 The New World News (1/13/2022), WSJ, These TikTok Stars Made More Money Than Many of America’s Top CEOs
                                2. g-f(2)812 The New World (1/13/2022), Brookings, How countries are leveraging computing power to achieve their national artificial intelligence strategies
                                3. g-f(2)811 The New World (1/13/2022), Bloomberg, TSMC to Spend at Least $40 Billion to Address Chip Shortages
                                4. g-f(2)810 THE BIG PICTURE OF THE DIGITAL AGE (1/12/2022), Talks at Google, Bruce Hood | How Minds are Constructed
                                5. g-f(2)809 THE NEW WORLD (1/12/2022), geniouxfacts, 10 juices of ultra-condensed GK to keep pace
                                6. g-f(2)808 THE BIG PICTURE OF THE DIGITAL AGE (1/12/2022), MIT SMR + BCG, AI in the Supply Chain: Cold Chain Technologies’ Ranjeet Banerjee
                                7. g-f(2)807 THE NEW WORLD (1/11/2022), HBR, Finding Success Starts with Finding Your Purpose
                                8. g-f(2)806 The New World (1/11/2022), HBR, HBR’s Most-Read Research Articles of 2021
                                9. g-f(2)805 The New World (1/11/2022), msn money, The National, Artificial intelligence to influence top tech trends in major way in next five years
                                10. g-f(2)804 The New World (1/11/2022), MIT SMR, Six Ways Leaders Can Adapt to the Workplace of 2022
                                11. g-f(2)803 The New World (1/10/2022), Bloomberg, Uniting Grand Theft Auto and FarmVille Is a Game Changer
                                12. g-f(2)802 THE NEW WORLD (1/10/2022), WSJ, Microsoft Hit by Defections as Tech Giants Battle for Talent to Build the Metaverse
                                13. g-f(2)801 The New World (1/10/2022), Multiple GK Containers, The Great Resignation
                                14. g-f(2)800 THE BIG PICTURE OF THE DIGITAL AGE (1/9/2022), geniouxfacts, The 10 most read "genioux facts" of the month
                                15. g-f(2)799 THE BIG PICTURE OF THE DIGITAL AGE (1/9/2022), geniouxfacts, The 10 most read "genioux facts" of the week
                                16. g-f(2)798 THE BIG PICTURE OF THE DIGITAL AGE (1/8/2022), yahoo!news, AFP, Metaverse gets touch of reality at CES
                                17. g-f(2)797 THE BIG PICTURE OF THE DIGITAL AGE (1/8/2022), MIT SMR, Management Articles for Starting the New Year
                                18. g-f(2)796 The New World (1/8/2022), CNBC, How A.I. is set to evolve in 2022
                                19. g-f(2)795 The New World (1/7/2022), Media, Investors Buy Up Metaverse Real Estate in Virtual Land Boom | WSJ
                                20. g-f(2)794 THE BIG PICTURE OF THE DIGITAL AGE (1/7/2022), Harvard Business Review, LinkedIn Cofounder Reid Hoffman on Innovating for an Uncertain Future

                              Saturday, January 8, 2022

                              g-f(2)796 The New World (1/8/2022), CNBC, How A.I. is set to evolve in 2022


                              VIRAL KNOWLEDGE: The “genioux facts” knowledge news

                              If you only have some seconds




                              ULTRA-condensed knowledge


                              "g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageArtificial Intelligence, The evolution of AI in 2022 (1/8/2022)  g-f(2)426 


                              OPPORTUNITY, CNBC 

                              EXCEPTIONAL “Full Pack GK Container”

                              How A.I. is set to evolve in 2022


                              • While AI still has a long way to go before anything like human-level intelligence is achieved, it hasn’t stopped the likes of Google, Facebook (Meta) and Amazon investing billions of dollars into hiring talented AI researchers who can potentially improve everything from search engines and voice assistants to aspects of the so-called “metaverse.”
                              • “AI algorithms are good at approaching individual tasks, or tasks that include a small degree of variability,” Edward Grefenstette, a research scientist at Meta AI, formerly Facebook AI Research, told CNBC.
                              • AI researchers have started to show that there are ways to efficiently adapt AI training methods to changing environments or tasks, resulting in more robust agents, Grefenstette said. He believes there will be more industrial and scientific applications of such methods this year that will produce “noticeable leaps.”
                              • Anthropologist Beth Singler, who studies AI and robots at the University of Cambridge, told CNBC that claims about the effectiveness and reality of AI in spaces that are now being labeled as the metaverse will become more commonplace in 2022 as more money is invested in the area and the public start to recognize the “metaverse” as a term and a concept.


                              Genioux knowledge fact condensed as an image



                              The robot cafe bridging the virtual and physical workplace







                              References




                              ABOUT THE AUTHORS


                              Sam Shead



                              About

                              I'm a tech journalist with over eight years of experience writing about business and technology for some of the world's leading publications.

                              My work has been published by CNBC, BBC News, The Financial Times, Wired, Forbes, Business Insider, and I've appeared in television interviews on the BBC, Sky News, Al Jazeera, Channel 5, and Reuters TV.


                              Extra-condensed knowledge



                              Lessons learned, CNBC

                              Golden Knowledge (GK) juice


                              • Machines are getting smarter and smarter every year, but artificial intelligence is yet to live up to the hype that’s been generated by some of the world’s largest technology companies.
                              • AI can excel at specific narrow tasks such as playing chess but it struggles to do more than one thing well. A seven-year-old has far broader intelligence than any of today’s AI systems, for example.
                              • Singler warned that there could be “too little discussion” in 2022 of the effect of the metaverse on people’s “identities, communities, and rights.”
                              • Gary Marcus, a scientist who sold an AI start-up to Uber and is currently executive chairman of another firm called Robust AI, told CNBC that the most important AI breakthrough in 2022 will likely be one that the world doesn’t immediately see.
                              • “The cycle from lab discovery to practicality can take years,” he said, adding that the field of deep learning still has a long way to go. Deep learning is an area of AI that attempts to mimic the activity in layers of neurons in the brain to learn how to recognize complex patterns in data.
                              • Marcus believes the most important challenge for AI right now is to “find a good way of combining all the world’s immense knowledge of science and technology” with deep learning. At the moment “deep learning can’t leverage all that knowledge and instead is stuck again and again trying to learn everything from scratch,” he said.


                              Condensed knowledge




                              Opportunities, CNBC

                              DeepMind’s next steps


                              • One of the biggest AI breakthroughs in the last couple of years has come from London-headquartered research lab DeepMind, which is owned by Alphabet.
                              • The company has successfully created AI software that can accurately predict the structure that proteins will fold into in a matter of days, solving a 50-year-old “grand challenge” that could pave the way for better understanding of diseases and drug discovery.
                              • Neil Lawrence, a professor of machine learning at the University of Cambridge, told CNBC that he expects to see DeepMind target more big science questions in 2022.
                              • Language models — AI systems that can generate convincing text, converse with humans, respond to questions, and more — are also set to improve in 2022.
                              • Catherine Breslin, a machine learning scientist who used to work on Amazon Alexa, thinks Big Tech will race toward larger and larger language models next year.
                              • Breslin, who now runs AI consultancy firm Kingfisher Labs, told CNBC that there will also be a move toward models that combine vision, speech and language capability, rather than treat them as separate tasks.
                              • Nathan Benaich, a venture capitalist with Air Street Capital and the co-author of the annual State of AI report, told CNBC that a new breed of companies will likely use language models to predict the most effective RNA (ribonucleic acid) sequences.


                              Some relevant characteristics of this "genioux fact"

                              • Category 2: The Big Picture of the Digital Age
                              • [genioux fact deduced or extracted from CNBC]
                              • This is a “genioux fact fast solution.”
                              • Tag Opportunities those travelling at high speed on GKPath
                              • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
                              • Type of validity of the "genioux fact". 

                                • Inherited from sources + Supported by the knowledge of one or more experts.


                              References


                              “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)796, Fernando Machuca, January 7, 2022, blog.geniouxfacts.comgeniouxfacts.comGenioux.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.



                              Key “genioux facts”


                              Featured "genioux fact"

                              🌟 g-f(2)3607: The Program That Masters the Digital Age — Your Ultimate Navigation System

                                📚 Volume 21 of the genioux GK Nuggets (g-f GKN) Series: Bite-Sized Transformational Insights for Continuous Learning By  Fernando Machuca...

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