g-f(2)2056 GenAI Adoption: Why It’s Not a Walk in the Park

 

genioux Fact post by Fernando Machuca and Bing Chatbot (Copilot)

Introduction:

The Harvard Business Review article "Why Adopting GenAI Is So Difficult" discusses the challenges companies face when implementing generative AI (GenAI) technologies. The authors provide several suggestions for companies considering whether and how to onboard these tools.

genioux GK Nugget:

"Adopting GenAI technologies is challenging and requires careful planning, realistic expectations, and a human-in-the-loop approach." — Fernando Machuca and Bing Chatbot (Copilot)

genioux Foundational Fact:

The article emphasizes that while GenAI tools like LLMs are impressive, they aren't plug and play. The success of GenAI adoption depends on choosing performance over novelty, combining GenAI with tools like vector databases, never forgetting the human-in-the-loop, tracing your data, and having realistic expectations.

10 genioux Facts:

1. Companies face challenges when implementing GenAI technologies.
2. GenAI tools like LLMs are impressive but aren't plug-and-play.
3. Successful GenAI adoption requires choosing performance over novelty.
4. Combining GenAI with tools like vector databases can enhance its effectiveness.
5. A human-in-the-loop approach is crucial in GenAI adoption.
6. Tracing data is an important aspect of GenAI implementation.
7. Companies should have realistic expectations when adopting GenAI.
8. Careful planning and consideration are required for GenAI adoption.
9. GenAI technologies are transforming the way businesses operate.
10. Despite the challenges, GenAI holds immense potential for businesses.

Conclusion:

While the adoption of GenAI technologies presents its own set of challenges, with careful planning, realistic expectations, and a human-in-the-loop approach, businesses can harness the immense potential of these technologies. The journey towards GenAI adoption may be difficult, but the rewards could be transformative for businesses.

REFERENCE

The g-f GK Article

Terence Tse, Mark Esposito, Danny Goh, and Paul Lee, Why Adopting GenAI Is So Difficult, Harvard Business Review, March 08, 2024.

Copilot's Summary:

The Harvard Business Review article "Why Adopting GenAI Is So Difficult" by Terence Tse, Mark Esposito, Danny Goh, and Paul Lee discusses the challenges companies face when implementing generative AI (GenAI) technologies¹. 

More than a year after the launch of ChatGPT, many companies are still grappling with how to put it into business use¹. The authors suggest that while GenAI tools like LLMs are impressive, they aren't plug and play¹. 

The article provides several suggestions for companies considering whether and how to onboard these tools¹:

1. Choose performance over novelty¹.

2. Combine GenAI with tools like vector databases¹.

3. Never forget the human-in-the-loop¹.

4. Trace your data¹.

5. Have realistic expectations¹.

The authors emphasize that the adoption of GenAI technologies requires careful planning and consideration¹.

Source: Conversation with Bing, 3/8/2024

(1) Why Adopting GenAI Is So Difficult - Harvard Business Review. https://hbr.org/2024/03/why-adopting-genai-is-so-difficult.

(2) Harvard Business Review - Ideas and Advice for Leaders. https://hbr.org/.

(3) HBR's 10 must reads 2017 - SearchWorks catalog. https://searchworks.stanford.edu/selections/11884026.

(4) HBR's 10 must reads on entrepreneurship and startups. https://search.library.wisc.edu/catalog/9912441349202121.

ABOUT THE AUTHORS

Terence Tse

Terence Tse is a globally recognized educator, author, and speaker¹. He is an Associate Professor of Finance at the Hult International Business School¹ and the ESCP Business School². He is also a co-founder and Executive Director of Nexus FrontierTech, an artificial intelligence company¹².

Tse has provided commentaries on the latest current affairs and appeared in many outlets including the Financial Times, Forbes, The Guardian, The Sunday Times, The Economist, CNBC, Les Echos, the World Economic Forum blog, Harvard Business Review (Arabic, Chinese, English, French, Italian and German), MIT Technology Review, Project Syndicate and WIRED². He has also appeared on China’s CCTV, Channel 2 of Greece, France 24, Japan’s NHK, France’s Xerfi and Radio România Cultural².

He is a co-author of "The AI Republic: Building the Nexus Between Humans and Intelligent Automation", an international best seller on Amazon². He also co-wrote the best seller "Understanding How the Future Unfolds: Using DRIVE to Harness the Power of Today's Megatrends"². The framework contained therein was nominated for the CK Prahalad Breakthrough Idea Award by Thinkers50, the most prestigious award in business thought leadership².

Source: Conversation with Bing, 3/8/2024

(1) Terence Tse - Wikipedia. https://en.wikipedia.org/wiki/Terence_Tse.

(2) TSE Terence | ESCP Business School. https://escp.eu/tse-terence.

(3) Terence Tse - Aevitas Creative Management. https://www.aevitascreative.com/client/terence-tse.

(4) Terence Tse - Agenda Contributor | World Economic Forum. https://www.weforum.org/agenda/authors/terence-tse/.

Mark Esposito

Mark Esposito is a globally recognized educator, author, and speaker¹. He serves as a Professor of Economics, Strategy and Foresights at Hult International Business School and is also a Faculty Affiliate at the Center for International Development at Harvard Kennedy School². He is a co-founder and Executive Director of Nexus FrontierTech, an artificial intelligence company¹².

Esposito's work focuses on The Fourth Industrial Revolution and the changes and opportunities that technology will bring to various industries². He has authored/co-authored over 150 publications and 13 books, including two Amazon bestsellers: "Understanding how the Future Unfolds" (2017) and "The AI Republic" (2019)². His academic journey culminated with a doctoral degree in Business and Economics from Ecole des Ponts Paris Tech²..

Source: Conversation with Bing, 3/8/2024

(1) Mark Esposito - Wikipedia. https://en.wikipedia.org/wiki/Mark_Esposito.

(2) Dr. Mark Esposito - Scholars at Harvard. https://scholar.harvard.edu/markesposito/home.

(3) Mark Esposito | ASU Search - Arizona State University. https://search.asu.edu/profile/3375937.

(4) Future | Mark Esposito. https://www.mark-esposito.com/.

(5) Mark Esposito | Institute for Quantitative Social Science. https://www.iq.harvard.edu/people/mark-esposito.

(6) en.wikipedia.org. https://en.wikipedia.org/wiki/Mark_Esposito.

Danny Goh

Danny Goh is a serial entrepreneur, early stage investor, and an expert in entrepreneurship³⁴. He is the Co-Founder and CEO of Nexus FrontierTech, an AI research firm that uses natural language processing to transform idle information into structured data, enabling organizations to run better, leaner, and faster³⁴. He is also an Entrepreneurship Expert at the Said Business School, University of Oxford³. Goh has co-founded several other ventures and has a keen interest in the intersection of business and technology³.

Source: Conversation with Bing, 3/8/2024

(1) Danny Goh - CEO @ Nexus FrontierTech - Crunchbase Person Profile. https://www.crunchbase.com/person/danny-goh.

(2) Danny Goh – Audio Books, Best Sellers, Author Bio | Audible.com. https://www.audible.com/author/Danny-Goh/B07SPLLZ9S.

(3) About – QuadC. https://thequadc.com/about.

(4) Danny Goh, Apl Logistics Ltd: Profile and Biography. https://www.bloomberg.com/profile/person/19647385.

Paul Lee

Paul Lee is a serial entrepreneur and co-founder of several technology companies¹. He is the Co-Founder of Ximplar, Vocofy AI, AUMEO, and The Chart Thinktank¹. Ximplar is a technology solutions company, while Vocofy AI and AUMEO are focused on artificial intelligence¹. The Chart Thinktank, which he co-founded with Terence Tse, Mark Esposito, and Danny Goh, is a platform that aims to make complex ideas simple and accessible¹. Lee's work spans various aspects of technology and innovation, reflecting his diverse interests and expertise¹.

Source: Conversation with Bing, 3/8/2024

(1) Why Adopting GenAI Is So Difficult - Harvard Business Review. https://hbr.org/2024/03/why-adopting-genai-is-so-difficult.

(2) Voicify AI Review: Everything You Should Know (2024) - MSPoweruser. https://mspoweruser.com/voicify-ai-review/.

(3) Technology - Voicify. https://voicify.com/technology/.

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References

“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2056, Fernando Machuca and Bing Chatbot (Copilot), March 8, 2024, Genioux.com Corporation.

 

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