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

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"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

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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.

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                Priya Ponnapalli


                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.


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

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