Lighthouse of the Big Picture of the Digital Age

genioux Fact post by Fernando Machuca, Claude and Bing Chatbot

Daily g-f Fishing GK Series

Introduction:

Companies face information overload analyzing competitor data, often missing strategic insights. Generative AI helps uncover these hidden gems to inform strategic decisions.

Lighthouse of the Big Picture of the Digital Age

genioux GK Nugget:

"Generative AI enables competitive intelligence experts to reveal strategic information hidden in competitors' public documents." — Fernando Machuca and Claude

genioux Foundational Fact:

While generative AI is often used for content creation, it can work better in reverse - surfacing insights from existing text. This enables leaders to uncover useful competitive intelligence from publicly available data like financial reports.

Top 10 genioux Facts:

Lighthouse of the Big Picture of the Digital Age

Large reports have key details overlooked by humans that impact strategic planning.
A land purchase by a competitor flagged by AI revealed expansion plans and implications.
Generative AI acts as a watchful eye catching relevant needles in data haystacks.
Prompts with context questions can extract strategic insights from documents.
This anticipates competitor moves for agile strategy adjustment.
Leaders gain advantage from a more realistic picture of the market.
Public communication may need adapting to avoid revealing private data.
AI helps break internal silos to apply insights across the organization.
Testing initiatives with open AI models enable quick wins.
Information advantage is key and AI guides leaders through data fog.

Lighthouse of the Big Picture of the Digital Age

Conclusion:

Generative AI empowers leaders to uncover hidden competitive gems from vast data, enabling agile strategy to outmaneuver rivals. It is an indispensable compass for strategic advantage.

REFERENCES

The GK Article

Thomas H. Davenport, José Parra-Moyano, Karl Schmedders, and Stephan Schulte, Use GenAI to Uncover New Insights into Your Competitors, Harvard Business Review, November 17, 2023.

Lighthouse of the Big Picture of the Digital Age

ABOUT THE AUTHORS

Thomas H. Davenport (@tdav) 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 coauthor of All-in on AI: How Smart Companies Win Big with Artificial Intelligence (Harvard Business Review Press, 2023).

Bing Chatbot: 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.

José Parra-Moyano

José Parra-Moyano is a professor of Digital Strategy at the International Institute for Management Development (IMD Business School) in Switzerland. His research focuses on the management and economics of data and privacy, with a special focus on how organizations can use data analysis techniques and AI to increase their competitiveness. He is an award-wining teacher, whose research has been published in top tier academic journals.

Bing Chatbot: José Parra-Moyano

José Parra-Moyano is a Professor of Digital Strategy at the International Institute for Management Development (IMD Business School) in Switzerland¹. He focuses on the management and economics of data and privacy, and how firms can create sustainable value in the digital economy¹.

Parra-Moyano has a Bachelor’s degree, Master’s degree, and PhD in Economic Science from the University of Zurich¹. He has received several awards for his teaching, including the Mannheim Business School Best Teacher Award in 2022 and the Copenhagen Business School Excellence in Education Award in 2021 and 2022¹. In 2018, he was named on Forbes '30 under 30' list of outstanding young entrepreneurs and leaders in Switzerland¹.

Before joining IMD in 2023, he was an Assistant Professor at Copenhagen Business School’s Department of Digitalization¹⁴. He taught courses on data strategy, data science, applied empirical methods, information economics, data economics, digital organisation, and fintech¹.

Parra-Moyano's research explores the impact of digital innovation on economic performance, particularly the role that data and AI can play in solving organizational and societal problems¹. His work has been published in leading journals such as MIT Sloan Management Review, the Journal of Management Information Systems, and Business & Information Systems Engineering¹.

In addition to his academic work, Parra-Moyano co-founded a startup that developed data-driven algorithms for HR departments¹. He sold his share of the company two years later after successfully growing its operations¹. He currently sits on the Board of Experts of data and blockchain company Enzyme Advising Group¹.

Source: Conversation with Bing, 11/18/2023

(1) José Parra-Moyano - IMD Business School. https://www.imd.org/faculty-profile/jose-parra-moyano/.

(2) José Parra-Moyano | CBS - Copenhagen Business School. https://www.cbs.dk/en/research/departments-and-centres/department-of-digitalization/staff/jpmdigi.

(3) ‪José Parra-Moyano‬ - ‪Google Scholar‬. https://scholar.google.com/citations?user=s53S9KMAAAAJ.

(4) José Parra-Moyano joins IMD faculty - IMD News - IMD Business School. https://www.imd.org/news/data-analytics/jose-parra-moyano-joins-imd-faculty/.

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Karl Schmedders

Karl Schmedders is a professor of Finance at the International Institute for Management Development (IMD Business School) in Switzerland, where he teaches and researches on strategy relevant topics, finance, decision making, and game theory. He holds a Ph.D. in Operations Research from Stanford University. His research focuses on quantitative methods in economics and finance. He has published numerous research articles in top tier international academic journals.

Bing Chatbot: Karl Schmedders

Karl Schmedders is a Professor of Finance at the International Institute for Management Development (IMD Business School) in Switzerland¹. His research and teaching focus on sustainability and the economics of climate change¹. He applies numerical solution techniques to complex economic and financial models, shedding light on relevant market issues and industry problems¹².

Schmedders has received several awards for his teaching, including the Kellogg-HKUST EMBA program Best Faculty Award in 2017 and the Kellogg-WHU EMBA program Best Teacher Award in multiple years¹. He was also recognized as the L.G. Lavengood Professor of the Year at the Kellogg School of Management in 2002¹.

In addition to his academic work, Schmedders was the Director of IMD’s custom program for Malaysian bank Maybank and has worked with a range of clients such as ABB, Airbus, Eneva, Evonik, Orkla, and Julius Bär¹. He is also the Director of IMD’s new online certification course for structured investment products in partnership with Swiss company Leonteq¹².

Before joining IMD in 2020, he was a Professor of Quantitative Business Administration at the University of Zurich³. His expertise in computational methods in finance and his passion for addressing climate change and global warming make him a leading figure in his field¹.

Source: Conversation with Bing, 11/18/2023

(1) Karl Schmedders - IMD Business School. https://www.imd.org/faculty/professors/karl-schmedders/.

(2) Karl Schmedders - I by IMD - IMD Business School. https://www.imd.org/ibyimd/iauthors/karl-schmedders/.

(3) Prof. Karl Schmedders, PhD | Department of Business Administration - UZH. https://business.uzh.ch/en/research/professorships/qba/members/schmedders.html.

Lighthouse of the Big Picture of the Digital Age

Stephan Schulte

Stephan Schulte is an expert in the application of analytics techniques to the field of competitors’ strategy. He holds a DBA from the University of Gloucestershire, from which he graduated with a thesis on new competitor accounting models for the German mechanical engineering sector.

Bing Chatbot: Stephan Schulte

Stephan Schulte is an expert in the application of analytics techniques to the field of competitors’ strategy¹. He uses these techniques to help firms understand their industry and evolution, their competitors and their own position, and translate this understanding into a competitive strategy¹. This allows firms to compete more effectively and strengthen their market position¹.

Schulte's approach to competitive strategy comprises a combination of ends and means (policies), factors that limit what a company can accomplish, tests of consistency, and an approach for developing competitive strategy¹. He defines competitive advantage in terms of relative cost and relative prices, thus linking it directly to profitability¹.

He also presents a general framework for analyzing the structure of an industry and understanding the underlying forces of competition (and hence profitability)¹. These forces include the threat of new entrants, intensity of rivalry among existing firms, threat of substitute products or services, bargaining power of buyers, and bargaining power of suppliers¹.

Schulte introduces three generic competitive strategies for coping with these five competitive forces: overall cost leadership, differentiation, and focus¹. Each of these strategies has its own risks, and a firm without a strategy is "stuck in the middle"¹.

In addition to these analytical techniques, Schulte also provides techniques for industry forecasting, analysis of competitors, predicting their behavior, and building a response profile¹. These techniques are essential for a competitive strategy and are useful for recognizing and accurately reading market signals¹.

Overall, Stephan Schulte's expertise in the application of analytics techniques to competitors’ strategy provides a sophisticated view of competition and a solid foundation for strategic decision-making¹.

Source: Conversation with Bing, 11/18/2023

(1) Competitive Strategy: Techniques for Analyzing Industries and ... - SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1496175.

(2) Competitive Strategy: Techniques for Analyzing Industries and Competitors. https://www.amazon.com/Competitive-Strategy-audiobook/dp/B07P9BP5JD.

(3) Competitive Strategy : Techniques for Analyzing Industries and Competitors. https://books.google.com/books/about/Competitive_Strategy.html?id=Hn1kNE0OcGsC.

(4) IMD Faculty members – IMD business school. https://www.imd.org/faculty/directory/.

(5) Executive Committee - IMD business school. https://www.imd.org/about/leadership-governance/imd-executive-committee/.

(6) Stephan Schulte - I by IMD - IMD Business School. https://www.imd.org/ibyimd/kms_author/stephan-schulte/.

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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.

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