Showing posts sorted by relevance for query Thomas H. Davenport. Sort by date Show all posts
Showing posts sorted by relevance for query Thomas H. Davenport. Sort by date Show all posts

Friday, September 13, 2024

g-f(2)2888 The Rise of the SuperTech Leader: Streamlining C-Suite Tech Roles

 


genioux Fact post by Fernando Machuca and Perplexity


Introduction:


The Harvard Business Review article "Why Companies Should Consolidate Tech Roles in the C-Suite" by Thomas H. Davenport, John Spens, and Saurabh Gupta explores the growing trend of consolidating senior technology and data roles in organizations. This consolidation aims to address the confusion and inefficiencies caused by the proliferation of C-level technology positions over the past few decades.



genioux GK Nugget:


"Consolidating tech leadership roles into a 'SuperTech' position streamlines digital transformation efforts, enhancing clarity, accountability, and strategic alignment within organizations." — Fernando Machuca and Perplexity, September 13, 2024



genioux Foundational Fact:


The proliferation of C-level technology roles has led to confusion and inefficiency in many organizations. A recent study found that over 80% of surveyed technology and data leaders reported confusion about the roles of different technology-oriented groups. To address this issue, some organizations are consolidating senior technology and data roles into a "SuperTech" leadership position. This consolidation aims to bring clarity, accountability, and strategic alignment to digital transformation initiatives, potentially improving an organization's ability to leverage technology for business success.



The 10 most relevant genioux Facts:





  1. The proliferation of C-level technology roles has led to confusion and inefficiency in many organizations.
  2. Over 80% of surveyed technology and data leaders reported confusion about the roles of different technology-oriented groups.
  3. Only 12% of surveyed leaders reported no confusion regarding technology-oriented roles and services.
  4. 30% of leaders lack clarity about how their role relates to other technology and data leadership roles.
  5. Organizations are beginning to consolidate senior technology and data roles into "SuperTech" leadership positions.
  6. SuperTech leaders typically have broad responsibility for data and technology functions, often including operational responsibilities.
  7. The most important skills for SuperTech leaders are overall leadership, senior executive relationships, and business strategy and vision.
  8. SuperTech leaders should be heavily business-oriented with a technical underpinning.
  9. Consolidating tech leadership roles can bring clarity and accountability to digital transformation initiatives.
  10. The trend towards specialized technology and data leaders may have gone too far, necessitating greater coordination and integration.



Conclusion:


The consolidation of technology leadership roles into a SuperTech position represents a strategic shift in how organizations approach their digital transformation efforts. By streamlining leadership and fostering greater integration between various technology and data functions, companies can potentially overcome the confusion and inefficiencies that have arisen from the proliferation of specialized C-suite roles. This approach emphasizes the importance of business-oriented technology leadership with a broad understanding of both technical and strategic aspects of the organization. As technology continues to play an increasingly critical role in business success, the SuperTech leadership model may provide a more effective way to leverage technological capabilities and drive innovation across the enterprise.





REFERENCES

The g-f GK Context


Thomas H. Davenport, John Spens, and Saurabh GuptaWhy Companies Should Consolidate Tech Roles in the C-SuiteHarvard Business Review, September 13, 2024.



ABOUT THE AUTHORS


Thomas H. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting scholar at the MIT Initiative on the Digital Economy, and a senior adviser to Deloitte’s AI practice. He is a co-author of All-in on AI: How Smart Companies Win Big with Artificial Intelligence (Harvard Business Review Press, 2023).


John Spens is the North American Managing Director of the Data and AI service line at Thoughtworks. He has over 30 years of experience in building critical software applications and business intelligence solutions across the globe.


Saurabh Gupta is the Chief Strategy and Revenue Officer at The Modern Data Company. Prior to that he has been in leadership roles in data and technology in organizations including Thoughtworks, the Washington DC government, IMF, and the World Bank.



Classical Summary of Article:


The article "Why Companies Should Consolidate Tech Roles in the C-Suite" by Thomas H. Davenport, John Spens, and Saurabh Gupta discusses the challenges posed by the increasing number of C-level technology roles within organizations. Over the past few decades, the proliferation of positions such as Chief Information Officer (CIO), Chief Technology Officer (CTO), Chief Data Officer, and Chief Artificial Intelligence Officer has led to confusion and inefficiency in technology leadership.


A recent survey revealed that over 80% of technology and data leaders reported confusion regarding the roles and responsibilities of different technology-oriented groups within their organizations. This lack of clarity can hinder digital transformation efforts and negatively impact organizational performance. To combat this issue, some companies are consolidating these roles into a single "SuperTech" leadership position, typically held by a CIO who oversees all technology and data functions. This consolidation aims to enhance accountability and streamline decision-making processes.


The article highlights the skills necessary for SuperTech leaders, emphasizing the importance of business acumen alongside technical expertise. Successful SuperTech leaders should focus on overall leadership, strategic vision, and fostering strong relationships with other executives. While some technology leaders express concerns about the consolidation of roles, the authors argue that a SuperTech model can provide clearer direction and more effective governance of technology initiatives.


In conclusion, the article advocates for the consolidation of technology roles in the C-suite to address the confusion and inefficiencies that have arisen from the proliferation of specialized tech positions. By establishing clear leadership structures and promoting collaboration among technology and data leaders, organizations can enhance their digital transformation efforts and drive greater business value.





Thomas H. Davenport


Thomas H. Davenport is a renowned academic and author specializing in analytics, business process innovation, knowledge management, and artificial intelligence. Born on October 17, 1954, he has made significant contributions to the field of information technology and management¹.


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 studied business process improvement¹.


Professional Achievements

Currently, Davenport holds the position of President’s Distinguished Professor of Information Technology and Management at Babson College. He is also a visiting scholar at the MIT Initiative on the Digital Economy and a senior adviser to Deloitte’s AI practice¹². Additionally, he co-founded the International Institute for Analytics and has directed research centers for Accenture and Ernst & Young¹.


Publications and Contributions

Davenport has written or edited twenty books and over 250 articles for prestigious publications such as Harvard Business Review, MIT Sloan Management Review, and the Financial Times². Some of his notable works include:

  • "Competing on Analytics: The New Science of Winning": This book, co-authored with Jeanne Harris, provides guidelines for basing competitive strategies on the analysis of business data¹.
  • "Only Humans Need Apply: Winners and Losers in the Age of Smart Machines": Co-authored with Julia Kirby, this book offers tools for individuals working with cognitive technologies².
  • "The AI Advantage: How to Put the Artificial Intelligence Revolution to Work": This book provides a guide to using artificial intelligence technologies in business².


Recognition and Influence

Davenport has been recognized as one of the top three business/technology analysts in the world and one of the 100 most influential people in the IT industry². He has also been named one of the world’s top fifty business school professors by Fortune magazine².


Personal Life

Davenport's contributions extend beyond his professional achievements. He is a father to two sons, Hayes Davenport, a television comedy writer and podcaster, and Chase Davenport, who makes surfboards and researches artificial intelligence¹.


Thomas H. Davenport continues to be a leading voice in the fields of analytics, artificial intelligence, and digital transformation, shaping the future of technology and management.


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, 9/13/2024


(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) Thomas H. Davenport, Senior Advisor - Deloitte. https://www.deloitte.com/global/en/about/people/profiles.tdavenport+d8f68d6e.html.

(5) Thomas H. Davenport - Wikiquote. https://en.wikiquote.org/wiki/Thomas_H._Davenport.



John Spens


John Spens is the North American Managing Director of the Data and AI service line at Thoughtworks, a global technology consultancy. With over 30 years of experience in the technology industry, Spens has established himself as an expert in building critical software applications and business intelligence solutions across the globe.


In his current role at Thoughtworks, Spens leads the Data and AI practice for North America, helping organizations leverage data and artificial intelligence to drive business value and innovation. His extensive background in software development and data analytics positions him well to guide companies through digital transformations and AI adoption strategies.


Throughout his career, Spens has likely worked with a diverse range of clients across various industries, applying his expertise to solve complex business problems through technology. His long tenure in the field suggests he has witnessed and adapted to many technological shifts, from the early days of business computing to today's AI-driven landscape.


While specific details about his educational background and earlier career roles are not provided in the given context, it's reasonable to assume that Spens has held several leadership positions in technology firms, given his current senior role at a prominent company like Thoughtworks. His focus on data and AI also indicates that he has kept his skills and knowledge current with the latest advancements in these rapidly evolving fields.


As a co-author of the article on consolidating tech roles in the C-suite, Spens demonstrates thought leadership in the area of organizational structure and technology management. This suggests he not only has technical expertise but also a strong understanding of business strategy and organizational dynamics in the context of technology adoption.


Citations:

[1] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/18631139/cbed9c58-2266-42fe-b3bb-76b5b5ae01e7/paste.txt

[2] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/18631139/1406ffca-38fa-48f6-bdde-958393cbd0e7/paste.txt

[3] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/18631139/d0574290-6967-4ee7-9236-30e4c000fd07/paste.txt



Saurabh Gupta


Saurabh Gupta is a seasoned technology executive, currently serving as the Chief Strategy and Revenue Officer at The Modern Data Company¹. With a career spanning over two decades, Saurabh has been instrumental in driving strategic growth and data-centric transformations across various organizations.


Early Life and Education

Saurabh's passion for technology and data began early in his life. He pursued executive education from MIT Sloan and holds a degree from the University of California, Berkeley, Haas School of Business². His academic background provided a strong foundation for his future endeavors in the tech industry.


Professional Career

Saurabh's career is marked by leadership roles at prestigious organizations. Before joining The Modern Data Company, he served as the Head of Data Strategy and Governance at Thoughtworks, a global technology consulting company³. He also held the position of Chief Data Officer/Director of Data Strategy, Operations & Modernization at the DC Office of the State Superintendent of Education (OSSE)².


In his current role at The Modern Data Company, Saurabh is responsible for all revenue generation initiatives and driving strategic growth. He leads the company's sales, marketing, and strategy teams, ensuring a cohesive approach to market leadership and customer success¹. His expertise in strategic planning and revenue generation has been pivotal in propelling the company's DataOS® to new heights¹.


Contributions and Achievements

Saurabh is known for his thought leadership in the field of data and AI. He has introduced innovative strategies and data-driven approaches that have significantly impacted the organizations he has worked with¹. His insights and expertise have been instrumental in shaping the future of data management and AI-driven decision-making.


Personal Life

Outside of his professional life, Saurabh is actively involved in mentoring young professionals and contributing to various tech startups as an investor and advisor². He is also an editorial board member for the CDOIQ Program².


Saurabh Gupta continues to be a leading voice in the fields of data and AI, shaping the future of technology and management.


¹: [Business Wire](https://www.businesswire.com/news/home/20240417239709/en/The-Modern-Data-Company-Strengthens-Leadership-Team-with-Saurabh-Gupta-as-Chief-Revenue-Officer-and-Chief-Strategy-Officer/)

²: [The Org](https://theorg.com/org/the-modern-data-company/org-chart/saurabh-gupta)

³: [CDOIQ Symposium](https://cdoiq2024.org/2023/09/saurabh-gupta/)


Source: Conversation with Copilot, 9/13/2024


(1) The Modern Data Company Strengthens Leadership Team with Saurabh Gupta .... https://www.businesswire.com/news/home/20240417239709/en/The-Modern-Data-Company-Strengthens-Leadership-Team-with-Saurabh-Gupta-as-Chief-Revenue-Officer-and-Chief-Strategy-Officer/.

(2) Saurabh Gupta - Chief Strategy & Revenue Officer at The Modern Data .... https://theorg.com/org/the-modern-data-company/org-chart/saurabh-gupta.

(3) Saurabh Gupta, The Modern Data Company – The 18th Annual CDOIQ Symposium. https://cdoiq2024.org/2023/09/saurabh-gupta/.

(4) How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta .... https://www.datacamp.com/podcast/how-data-leaders-can-make-data-governance-a-priority-with-saurabh-gupta.



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This genioux Fact post is classified as Bombshell Knowledge which means: The game-changer that reshapes your perspective, leaving you exclaiming, "Wow, I had no idea!"


Type: Bombshell Knowledge, Free Speech



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REFERENCES



genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2888, Fernando Machuca and Perplexity, September 13, 2024, Genioux.com Corporation.


The genioux facts program has established a robust foundation of over 2887 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)2887].



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g-f(2)2393 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (May 2024)


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Friday, November 17, 2023

g-f(2)1602 From AI Principles to Practice: Unilever's Path to Ethical AI

 

Lighthouse of the Big Picture of the Digital Age


genioux Fact post by Fernando MachucaClaude and Bing Chatbot


Daily g-f Fishing GK Series

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Introduction:


This article by Thomas Davenport and Randy Bean provides an insightful look at Unilever's journey in implementing AI ethics, highlighting their multi-stage approach from developing policies to reviewing each use case. Let's unpack the golden nuggets from Unilever's valuable experience.


Lighthouse of the Big Picture of the Digital Age


genioux GK Nugget:


"A robust AI ethics process requires evolving from principles to practice through gathering data on use cases, systematic reviews, and actions aligned to human-centered values." — Fernando Machuca and Claude



genioux Foundational Fact:


Unilever demonstrates that realizing ethical AI necessitates going beyond broad policies to implement governance processes assessing risk, bias, fairness and efficacy per use case. This enables appropriate mitigation and rejection of unacceptable applications.



10 Key genioux Facts:


Lighthouse of the Big Picture of the Digital Age


  1. Most companies are still in the early policy stages of addressing ethical AI and lack review processes.
  2. Unilever built on its privacy, security and governance foundations to embed responsible AI principles.
  3. Policies stating values are insufficient - the ability to evaluate specific use cases is crucial.
  4. Unilever coined "AI assurance" covering both ethics and efficacy risks for holistic assessment.
  5. A structured process examines each use case's risks and compliance with standards.
  6. Unilever partners with Holistic AI to manage assessments using a platform coding projects' risk levels.
  7. Machine learning models are automatically checked for biases against groups.
  8. Few use cases have received the highest risk rating; most issues are resolvable.
  9. Benchmarking and insurance products are envisioned to further maturity.
  10. Reviewing every use case is the only way to ensure alignment with human well-being.


Lighthouse of the Big Picture of the Digital Age


Conclusion:


Unilever provides a blueprint for realizing ethical AI through comprehensive evaluation of each application's risks and merits. This elevates policies into action, upholding human-centered values.



REFERENCES

The GK Article


Thomas H. Davenport and Randy Bean, AI Ethics at Unilever: From Policy to Process, MIT Sloan Management Review, November 15, 2023.



ABOUT THE AUTHORS


Thomas H. Davenport (@tdav) is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford’s Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). Randy Bean (@randybeannvp) is an industry thought leader, author, founder, and CEO and currently serves as innovation fellow, data strategy, for global consultancy Wavestone. 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).



Thomas H. Davenport


Thomas H. Davenport is a distinguished American academic and author specializing in the fields of analytics, business process innovation, knowledge management, and artificial intelligence¹. He holds the position of President’s Distinguished Professor of Information Technology and Management at Babson College¹². 


In addition to his role at Babson College, Davenport is 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. 


Davenport has made significant contributions to the field of information technology and management through his numerous books and articles. His work has been published in esteemed publications such as the Harvard Business Review, MIT Sloan Management Review, and the Financial Times¹. 


His pioneering work on "competing on analytics" has provided valuable guidelines for basing competitive strategies on the analysis of business data¹. Davenport's insights continue to shape how companies leverage analytics, big data, and artificial intelligence to their advantage¹².


Source: Conversation with Bing, 11/17/2023

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

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

(3) Thomas H. Davenport - Wikiquote. https://en.wikiquote.org/wiki/Thomas_H._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.


Lighthouse of the Big Picture of the Digital Age


Randy Bean


Randy Bean is a recognized industry thought leader, author, founder, and CEO, known for his contributions to the field of data-driven leadership in an era of disruption, big data, and AI³. He currently serves as an Innovation Fellow, Data Strategy, for the global consultancy Wavestone³. 


In addition to his leadership roles, Bean is also a prolific writer. He is the author of "Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI" and contributes to several prestigious publications, including the Harvard Business Review, Forbes, and MIT Sloan Management Review³. 


His insights and expertise have made him a sought-after voice in the industry, helping organizations navigate the complexities of data strategy and digital transformation³.


Source: Conversation with Bing, 11/17/2023

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

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

(3) Palo Alto Online - Lasting Memories - Randy Bean's memorial. https://www.paloaltoonline.com/obituaries/memorials/randy-bean?o=6473.



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The g-f New World is a vision for the future of the world in the digital age. It is a world of unlimited growth and prosperity, where people are empowered to learn, grow, and thrive. It is a world where technology is used for good, and where everyone has a chance to succeed. The g-f New World is an innovative creation by Genioux.com Corporation¹. It is nestled within the domain of "genioux facts," the online program illuminating the mastery of the digital landscape¹. 


g-f(2)1580 GK Elixirs Unveiled: Navigating the New World of genioux Wisdom


The g-f New World is a splendid realm that blossoms with the g-f Treasure trove, finely tuned for boundless growth¹. This treasure amalgamates cutting-edge emerging technologies, profound multidisciplinary knowledge, and the force of PEOPLE, the architects of metamorphosis¹. The g-f New World is a realm enriched by the g-f Treasure trove, finely tuned for boundless growth¹. 


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Lighthouse of the Big Picture of the Digital


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Source: Conversation with Bing, 11/17/2023

(1) g-f New World - Genioux.com Corporation. https://gnxc.com/g-f-new-world.

(2) g-f(2)942 THE NEW WORLD (2/16/2022), The Story of the New World in a “g .... https://blog.geniouxfacts.com/2022/02/g-f2942-new-world-2162022-story-of-new.html.

(3) g-f(2)1257 The Lighthouse of the New World g-f: A Wonderful World .... https://blog.geniouxfacts.com/2023/08/g-f21257-lighthouse-of-new-world-g-f.html.

(4) Home [gnxc.com]. https://gnxc.com/home.



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g-f(2)1602: The Juice of Golden Knowledge



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References


genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1602, Fernando MachucaClaude and Bing Chatbot,  November 17, 2023, Genioux.com Corporation.


The genioux facts program has established a robust foundation of over 1601 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)1601].



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