Wednesday, January 29, 2025

g-f(2)3317 AI's Frontier: 5 Strategic Trends Reshaping Business in 2025

 


By Fernando Machuca and Perplexity

Type of Knowledge: Nugget Knowledge



The Juice of Golden Knowledge: AI Alchemy: Transforming Digital Potential into Business Gold


"The Juice of Golden Knowledge from MIT Sloan Management Review's "Five Trends in AI and Data Science for 2025" reveals critical insights for business leaders:

  1. Agentic AI is gaining momentum, promising autonomous task execution, but its full potential remains unrealized for complex operations.
  2. Organizations are prioritizing quantifiable results from generative AI initiatives to justify investments.
  3. Creating a truly data-driven culture requires more than technology; it demands addressing cultural and change management challenges.
  4. Unstructured data is regaining importance, with 94% of data and AI leaders focusing on it due to generative AI's impact.
  5. The debate over AI and data leadership roles in the C-suite continues, reflecting the evolving nature of these responsibilities.

These trends underscore the need for leaders to balance AI adoption with practical implementation, cultural transformation, and strategic oversight to harness AI's full potential in 2025." — Fernando Machuca and Perplexity, January 29, 2025





REFERENCES

The g-f GK Context


Thomas H. Davenport and Randy Bean, Five Trends in AI and Data Science for 2025, MIT Sloan Management Review, January 08, 2025.



ABOUT THE AUTHORS  


Thomas H. Davenport (@tdav) is the President’s Distinguished Professor of Information Technology and Management at Babson College, a fellow of the MIT Initiative on the Digital Economy, and senior adviser to the Deloitte Chief Data and Analytics Officer Program. He is co-author of All in on AI: How Smart Companies Win Big With Artificial Intelligence (Harvard Business Review Press, 2023) and Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). 


Randy Bean (@randybeannvp) is an adviser to Fortune 1000 organizations on data and AI leadership. He is the author of Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI (Wiley, 2021).



Classical Summary of the Article


The MIT Sloan Management Review article "Five Trends in AI and Data Science for 2025" outlines key developments in artificial intelligence and data science expected to shape the business landscape in the coming year. Based on recent research and surveys, the article identifies five significant trends:


  1. The rise of agentic AI: This trend focuses on AI systems that can perform tasks independently. While there's excitement about generative AI bots for content creation, the article suggests that more complex tasks like making travel reservations or conducting banking transactions may still be out of reach for AI in 2025.
  2. Measuring results from generative AI experiments: Organizations are pushing to quantify the benefits and outcomes of their generative AI initiatives, recognizing the need for concrete metrics to justify investments.
  3. Evolving understanding of data-driven culture: The article highlights a growing realization that technology alone is insufficient for creating a truly data-driven organization. Cultural and change management challenges are identified as primary barriers to becoming data- and AI-driven.
  4. Renewed focus on unstructured data: Generative AI has reignited interest in unstructured data (e.g., text, images, video). Organizations are exploring ways to leverage this data, particularly through retrieval-augmented generation (RAG) approaches. However, the process of preparing and curating unstructured data remains largely human-intensive.
  5. Ongoing debate over AI and data leadership: The article notes continued discussions about which C-suite role should oversee data and AI responsibilities, reflecting the evolving nature of these roles within organizations.


The article emphasizes that while AI and data science continue to advance rapidly, challenges remain in implementation, measurement, and organizational integration. It underscores the need for leaders to stay informed about these trends to effectively navigate the evolving AI and data landscape in 2025.



Thomas H. Davenport


Thomas H. Davenport (born October 17, 1954) is a renowned American academic and author specializing in analytics, business process innovation, knowledge management, and artificial intelligence. He is currently the President’s Distinguished Professor in Information Technology and Management at Babson College, a Fellow of the MIT Initiative on the Digital Economy, Co-founder of the International Institute for Analytics, and a Senior Advisor to Deloitte Analytics¹².


Education and Early Career

Davenport initially trained as a sociologist, earning a BA in Sociology from Trinity University in 1976, a Master's degree in Sociology from Harvard in 1979, and a Ph.D. in Sociology from Harvard in 1980¹. After completing his Ph.D., he worked as an academic before transitioning to a research and consulting role at Index, where he became the Director of Research¹.


Contributions and Achievements

Davenport has written, coauthored, or edited twenty books, including pioneering works on analytical competition, business process reengineering, and achieving value from enterprise systems¹². His book "Competing on Analytics: The New Science of Winning" (co-authored with Jeanne Harris) is particularly notable for providing guidelines on basing competitive strategies on business data analysis¹.


He has also written over 250 articles for prestigious publications such as Harvard Business Review, MIT Sloan Management Review, and the Financial Times². Davenport has been recognized as one of the world’s top three analysts of business and technology and one of the top 50 business school professors by Fortune Magazine².


Personal Life

Davenport has two sons: Hayes Davenport, a television comedy writer and podcaster, and Chase Davenport, who makes surfboards and researches artificial intelligence¹.


Would you like to know more about any specific aspect of Thomas H. Davenport's work or contributions?


¹: [Wikipedia](https://en.wikipedia.org/wiki/Thomas_H._Davenport)

²: [Tom Davenport's Official Website](https://www.tomdavenport.com/about/)


Source: Conversation with Copilot, 7/31/2024

(1) Thomas H. Davenport - Wikipedia. https://en.wikipedia.org/wiki/Thomas_H._Davenport.

(2) About - Tom Davenport. https://www.tomdavenport.com/about/.

(3) Thomas Davenport | Electric Car, Automobile Engineer & Ironworker. https://www.britannica.com/biography/Thomas-Davenport.

(4) 토머스 H. 데이븐포트 - 위키백과, 우리 모두의 백과사전. https://ko.wikipedia.org/wiki/%ED%86%A0%EB%A8%B8%EC%8A%A4_H._%EB%8D%B0%EC%9D%B4%EB%B8%90%ED%8F%AC%ED%8A%B8.

(5) Thomas H. Davenport – Wikipédia, a enciclopédia livre. https://pt.wikipedia.org/wiki/Thomas_H._Davenport.



Randy Bean


Randy Bean is a prominent advisor to Fortune 1000 organizations on data and AI leadership. With over three decades of experience, he has established himself as a thought leader, author, and speaker in the field of data-driven business leadership².


Career and Contributions

Randy Bean is the Founder and CEO of NewVantage Partners, a consultancy specializing in data and AI strategy². He also serves as an Innovation Fellow for Data Strategy at Wavestone, a Paris-based consultancy². Bean is a regular contributor to prestigious publications such as Forbes, Harvard Business Review, and MIT Sloan Management Review²³.


Notable Work

Bean is the author of the bestselling book "Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI" (Wiley, 2021)²³. The book provides valuable insights and lessons on how organizations can leverage data and AI to drive innovation and achieve success in a rapidly changing business environment.


Thought Leadership

Throughout his career, Bean has been a vocal advocate for the importance of data and AI in business transformation. He has advised numerous Fortune 1000 companies on how to harness the power of data to gain a competitive edge². His work has been instrumental in shaping the data strategies of many leading organizations.


Would you like to know more about any specific aspect of Randy Bean's work or contributions?


²: [NACD](https://www.nacdonline.org/speaker-bios/randy-bean/)

³: [Forbes](https://www.forbes.com/sites/randybean/)


Source: Conversation with Copilot, 7/31/2024

(1) Randy Bean Bio | NACD. https://www.nacdonline.org/speaker-bios/randy-bean/.

(2) Randy Bean - Forbes. https://www.forbes.com/sites/randybean/.

(3) Obituary: Randy Bean | AspenTimes.com. https://www.aspentimes.com/obituaries/obituary-randy-bean/.

(4) Randy Bean Data. https://www.randybeandata.com/.



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“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)3317, Fernando Machuca and Perplexity, January 29, 2025, Genioux.com Corporation.



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