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Developing an AI Strategy: Four Points of View

May 12, 2022 by Robert Grossman

An AI strategy is component strategy supporting an overall corporate or organizational strategy. Source of image: Open Data Press.

Although the name of the blog is Analytic Strategy, we haven’t discussed analytic strategy per se in a while, and it is time to return to the topic. An analytic strategy is a functional component of a corporate or organizational strategy. Other functional component strategies include: a product strategy, a marketing strategy and an IT strategy. In this post, we discuss four points of view for developing a corporate or business strategy in general that might be helpful as you develop an analytic or AI strategy component strategy.

Strategy through systematic planning

What is sometimes called the classical approach to business strategy is focused on profitability and using systematic planning to achieve it.  An exemplar of this approach was the strategy pursued by General Motors under the leadership of Alfred Sloan as President of the company from 1923-1943 and as Chairman of the Board from 1937-1956.  Under his leadership, GM sales grew over 10 percent per year for thirty-three years, and by 1956 GM was double the size of the next largest company [1].   Profits in 1955 were 50% higher than those at each of the next three largest companies [1].  The importance of focusing on profitability achieved by systematic planning was codified during the 1960’s with the writings of Alfred Chandler [2], Alfred Sloan [3] and Igor Ansoff [4]. 

Strategy through competitive positioning

One of the most influential contemporary thinkers about business strategy is Michael Porter, who is the Bishop William Lawrence University Professor at Harvard Business School.  His 1980 book Competitive Strategy [5] book was selected as one of the most influential management books of the 20th century by the Academy of Management [6].

Porter views strategy as a competition between firms in a market and recommends positioning a firm within a sector using a framework called the five forces so that there are structural barriers allowing the firm to sustain above average profits over a long a time period [5].  The five forces are competitive rivalry, the bargaining power of suppliers, the bargaining power of buyers, the threat of substitution, and the threat of new competitors. 

In 1983, Michael Porter co-founded a consulting company called the Monitor Group to help companies implement his view of competitive strategy [6].  It’s important to keep in mind that external forces can overwhelm even the best strategy. The Monitor group was quite successful for over 25 years, but struggled during the 2008 financial crisis, declared bankruptcy in 2012, and was acquired by Deloitte Consulting in 2013 [7].

Strategy through CEO leadership and management excellence

Around the same time, Tom Peters and Robert H. Waterman, Jr. wrote In Search of Excellence [8], which was published in 1982 and sold over 3 million copies in its first four years.  In this book, they told stories about how companies achieved excellence and organized the stories around what they called their 7S Framework, which consisted of strategy, structure, systems, staff, style, skills, and shared values. The focus was less on the economics of competitive positioning and more on the people, processes, culture, and leadership, with the emphasis on the leadership, that could lead to excellence. 

Most people views of complex subjects like strategy are shaped through stories, and good stories about CEOs are quite sticky [9].

Strategy through sustainable technological innovation

Beginning in the late 1990’s and early 2000’s, a different view of strategy began to emerge that used technology, innovation, and large amounts of digital data to steadily improve a product or service.  A particularly powerful approach was to create digital platforms that linked producers and consumers [10].  This data driven and analytics-based approach led to the success of companies like Amazon (founded 1994), Google (founded 1998), and Facebook (founded 2004).  The technology was enabled by software, and in the words that captured this insight, “software began eating the world [11].”

You can think of the recent advances in deep learning and AI as a natural trajectory that began in the 1990’s and has continued as Moore’s law led to more computational power; the growth of the internet, mobile devices and the internet of things (IoT) led to more data; and powerful open source software frameworks began transforming processes [12]. 

The Practice of Management by Peter Drucker

This post started with Alfred Sloan and GM and it’s a good way to end it. Peter Drucker was invited by General Motors to spend the two year period 1943-1945 studying the company, which led to his 1946 book The Concept of the Corporation [13]. This book was one of the early books to focus on the corporation as an entity worth studying and helped popularize viewing strategy through the lens of systematic planning, the first tradition described above. Alfred Sloan’s book My Years at General Motors can be viewed in part as a counterpoint to Drucker’s book [14]. For those interested in the history of strategy, both books are still worth reading today, as well as Drucker’s 1954 book The Practice of Management [15].     

On the other hand, in the current era, digital technology has fundamentally changed how we work, manage, plan, live, and play, and has created new capabilities that in turn has created new businesses and new business models.  For this reason, with the commoditization of data, computing power, network bandwidth, and software [12], it’s a good time to rethink and reinterpret your business strategy.  

Developing an AI or analytic strategy

I wrote a short primer about Analytic Strategy that discusses how to develop an AI or analytic strategy from several different points of view.  It is designed to be self-contained and provides short introductions to both analytics and strategy

The primer covers seven standard strategy tools and frameworks that can be adapted to analytics and AI, including: analytic SWOT, Analytic Ansoff Matrix, Porter’s Five Forces, Blue Ocean Analysis, the Analytic Experience Curve, and PESTEL analysis.

The book also covers specialized tools and frameworks that I have developed to support analytic strategy, including the Analytic Diamond and the Analytic Value Chain.

You can buy Developing an AI Strategy: A Primer online.

References

[1] Hoover, Gary, The Greatest Businessman in American History: Alfred P. Sloan, Jr., American Business History Center, November 4, 2021. Retrieved from https://americanbusinesshistory.org/the-greatest-businessman-in-american-history-alfred-p-sloan-jr.

[2] Chandler, Alfred D. Strategy and structure, MIT Press, 1962

[3] Sloan, Alfred My Years with General Motors, Doubleday & Company, 1963

[4] Ansoff, Igor H, Corporate Strategy, 1965

[5] Porter, Michael, Competitive Strategy, Free Press, New York, 1980.

[6] Bedeian, Arthur G., and Daniel A. Wren. “Most influential management books of the 20th century.” Organizational Dynamics 3, no. 29 (2001): 221-225.

[7] Denning, Steve, What Killed Michael Porter’s Monitor Group? The One Force That Really Matters, Forbes, November 20, 2012.

[8] Peters, Thomas J. and Robert H. Waterman, In Search of Excellence: Lessons from America’s Best-Run Companies, Harper & Row, 1982

[9] Heath, Chip and Dan Heath, Made to Stick: Why Some Ideas Survive and Others Die, Random House, 2007.

[10] Parker, Geoffrey G., Marshall W. Van Alstyne, and Sangeet Paul Choudary. Platform Revolution: How Networked Markets Are Transforming the Economy? and How to Make Them Work for You. WW Norton & Company, 2016.

[11] Marc Andreessen, Why Software Is Eating the World, Wall Street Journal, August 20, 2011.

[12] Grossman, Robert, The structure of digital computing: from mainframes to big data. Open Data Press, 2012.

[13] Drucker, Peter F., Concept of the Corporation, John Day, 1946

[14] Kay, John, The concept of the corporation, 2017, retrieved from https://www.johnkay.com/2017/03/16/the-concept-of-the-corporation/

[15] Drucker, Peter, The Practice of Management, Harper, 1954.

Filed Under: Uncategorized Tagged With: AI, AI strategy, Alfred Sloan, analytic strategy, competitive positioning, concept of the corporation, management excellence, Peter Drucker, Practice of Management, sustainable technology innovation, technology innovation

Ten Books to Motivate and Jump-Start Your AI Strategy

April 11, 2022 by Robert Grossman

Sun Tzu, a general and strategist, who was the author of the Art of War over 2500 years ago. Source Wikipedia

This post contains a list of ten books that I found helpful as I wrote my book: Developing an Analytic Strategy: A Primer.

I thought about different ways to order the list, but, in the end, I simply ordered the books alphabetically by the last name of the author. I don’t find this ordering very satisfactory. I thought seriously of ordering the books by the number of pages, from the shortest (The Art of War) to the longest (Exploring corporate strategy: text & cases), since I have a particular fondness for short books that can concisely summarize complex subjects.

Focus Your Business: Strategic Planning in Emerging Companies

Steven C. Brandt, Focus Your Business: Strategic Planning in Emerging Companies, 1997, Archipelago Publishing, Friday Harbor, WA.

Steven Brandt is an entrepreneur who also taught at Stanford’s business school in the 1970’s, 1980’s and 1990’s.  The book is concise (169 pages) and practical.  Its focus is on smaller and emerging companies.  The book is full of diagrams and tables, which I particularly liked.  There is an emphasis on practical planning to support the identification and implementation of a strategy.

Competing on Analytics

Thomas H. Davenport and Jeanne G. Harris, Competing on Analytics: The New Science of Winning, Harvard Business School Press, 2007.

In 2006, Thomas Davenport, a professor at Babson College and a Fellow at Accenture, wrote an article for the Harvard Business Review called Competing on Analytics that brought the importance of analytics to the attention of many corporate level executives for the first time. The article was the most downloaded article that year. The following year he wrote Competing on Analytic with Jeanne Harris.  The book has sold more than 100,000 copies and has been translated into 13 languages.

25 Need to Know Strategy Tools

Vaughan Evans, 25 Need to Know Strategy Tools, Pearson, 2014

One of my favorites for getting a good practical introduction for writing a strategic plan or for refreshing your memory about some strategy tools and frameworks that you have learned in the past.  It is probably more useful if you have had a course in strategy or have a bit of exposure to strategic planning, but even if this is not the case, you will probably get something out of the book. 

The book is relatively concise (about 200 pages).  Knowing 5-8 of the tools in detail and knowing the names of the others would put you in good place.

Evans has also written a related book with even more tools and frameworks that I also recommend:

Evans, Vaughn, Key Strategy Tools: The 80+ tools for every manager to build a winning strategy, Pearson, UK, 2013

Strategy: A History

Lawrence Freedman, Strategy: A history, Oxford University Press, 2015.

Freedman has written a comprehensive book (over 600 pages) about thinkers who have written about strategy, their impact, and Freedman’s assessment of their work.  Unlike most of the other books in this list, Freedman looks at strategy quite broadly and discusses military strategy (Sun Tzu, Clausewitz, Jomini and others), business strategy, strategies of non-violence (Martin Luther King and Mahatma Ghandi) and strategies of class warfare (Karl Marx).  The book is very readable and does not need to be read from end to end, but it is still quite comprehensible if individual chapters or even sections are read. 

Competitive Strategy: Techniques for Analyzing Industries and Competitors

Michael E. Porter, Competitive Strategy: Techniques for Analyzing Industries and Competitors, The Free Press, 1980.

Michael Porter is the Bishop William Lawrence University Professor at Harvard Business School.  His book Competitive Strategy was selected as one of the most influential management books of the 20th century by the Academy of Management.

Porter views strategy as a competition between firms and advocates understanding competition through what he calls the five forces: competitive rivalry, the bargaining power of suppliers, the bargaining power of buyers, the threat of substitution, and the threat of new competitors, and using this understanding to position a firm within a sector to provide structural barriers so that it could sustain above average profits over a long term.

Good Strategy, Bad Strategy

Richard P. Rumelt, Good Strategy, Bad Strategy: The Difference and Why it Matters, 2011, Crown Business, New York.

Richard Rumelt is a business school professor and consultant who has written a thoughtful and practical book about strategy.  The McKinsey Quarterly called him as a “strategist’s strategist.”  He emphasizes the importunate of any strategy having a kernel, which contains the following  three elements:

  • A diagnosis that defines or explains the nature of the challenge. A good diagnosis simplifies the often overwhelming complexity of reality by identifying certain aspects of the situation as critical.
  • A guiding policy for dealing with the challenge. This is an overall approach chosen to cope with or overcome the obstacles identified in the diagnosis.
  • A set of coherent actions that are designed to carry out the guiding policy. These are steps that are coordinated with one another to work together in accomplishing the guiding policy.

The Boston Consulting Group on Strategy

Carl W. Stern and Michael S. Deimler, editors, The Boston Consulting Group on Strategy: Classic concepts and new perspectives, John Wiley & Sons, 2006.

This book contains reprints of several dozen articles written by consultants and principals from the Boston Consulting Group covering the classic tools they introduced and / or popularized, including the cash cows, experience curves, time-based competition, and many others.  Still worth reading.

The Art of War

Sun Tzu and Lionel Giles (translator), The Art of War, 1910, retrieved from http://classics.mit.edu/Tzu/artwar.html.

This is the classic test on military strategy written about 2500 years that has spawned many books on business strategy.  It’s always helpful to think about some of the similarities and differences between military and business strategy.  The book exploded in popularity in 2001 due to an episode on the HBO series The Sopranos. Tony Soprano’s therapist recommended the book to him, and Tony Soprano in a clip that you can see on YouTube told the therapist that he found the book much more helpful than the Prince by Machiavelli, which some of his colleagues and adversaries had read.  Your mileage may vary.

Exploring corporate strategy: text & cases.

Gerry Johnson, Richard Whittington, Kevan Scholes, Duncan Angwin and Patrick Regner, Exploring corporate strategy: text & cases. Pearson education. 11th edition, 2017.

One of the standard and most widely used textbooks on strategy.  It’s been used by over 750,000 students.  It’s through – the main text is over 500 pages and the case studies cover more than 200 additional pages.  An excellent text and an excellent reference.  You can get most of the benefit from one of the older editions, which can be much less expensive than the current edition.

What is strategy – and does it matter?

Richard Whittington. What is strategy – and does it matter?. Cengage Learning EMEA, 2001.

A thoughtful book about strategy, providing an analysis of the various academic traditions in strategy.   For those wanting to master strategy, the insights and historical analysis are well worth it.  The book is concise at 165 pages.

About the image. The image of Sun Tzu is in the public domain and is available from Wikipedia.

Filed Under: Uncategorized Tagged With: AI strategy, analytic strategy, Boston Consulting Group, Business strategy, competitive strategy, Corporate Strategy, strategy frameworks, strategy tools, Sun Tzu, The Art of War

Two Years of Posts About Analytic Strategy

September 14, 2021 by Robert Grossman

I have written about a post per month for the past two years about analytics and I thought it might be interesting to group these by categories and themes.

Theme 1: Running an algorithm over data is easy, building a useful AI-based system is quite hard

We train data scientists to transform data into rows and columns and then run an algorithm over the rectangular data, but as the articles below discuss, this is just one of many iterative steps in building a functional and useful AI-based system.

  • Why Didn’t AI Contribute More to COVID-19 Research? (July 14, 2021)
  • How to Navigate the Challenging Journey from an AI Algorithm to an AI Product (Feb 15, 2021)
  • Why Great Machine Learning Models are Never Enough: Three lessons About Data Science from Dr. Foege’s Letter (Oct 12, 2020)
  • Why Do So Many Analytic and AI Projects Fail? (May 11, 2020)
  • Deploying Analytic Models (Nov 4, 2019)

Theme 2: AI/ML Business Models

Developing a successful business model is hard in general, and AI/ML business models are no exception. I was a bit surprised that there were not more articles in this theme (for three years, I taught a course at the University of Chicago Booth School of Business that discuss edAI/ML business models as one of its sections), and I intend to write more of these articles during the next two years.

  • Machine Learning vs AI Business Models — What’s New with the Economics of AI? (Nov 12 2020)
  • Starting a Lean Analytic Start-Up: Four Key Questions to Ask (June 12, 2020)

Theme 3: Organizational Issues About AI/ML

  • Three Reasons All Corporate Boards Need Someone Who Understands Both Analytic Innovation and Analytic Strategy (Jan 14, 2021)
  • Five Steps to Improve the Analytic Maturity of Your Company — 2021 Edition (Dec 14, 2020)
  • Continuous Improvement, Innovation and Disruption in AI (July 6, 2020)
  • Analytic governance and why it matters (April 10, 2020)
  • Improving the Analytic Maturity Level of Your Company (Oct 2, 2019)

I also spent some time researching and writing mini profiles about some of the advocates for data driven decisions, analytics and systems. These include posts (in alphabetical) about

Theme 4: Profiles in AI/ML

  • W. Edwards Demming (May 10, 2021)
  • William H. Foege (Oct 12, 2020)
  • Frank Knight (Mar 14, 2021)
  • George Heilmeier (Dec 6, 2019)

Other Topics

I also wrote posts about the concept of a grand strategy in analytics and the challenges crossing the data chasm in analytics. Looking back, I was a bit surprised that I didn’t write more articles about analytic strategy per se, something I intend to rectify over the next two years.

Please contact me via the mail form if you would like me to write about anything specific in the future.

Filed Under: Uncategorized Tagged With: AI Business Models, AI Organizational Issues, AI profiles, AI strategy, AI systems, Data Chasm

Three Reasons All Corporate Boards Need Someone Who Understands Both Analytic Innovation and Analytic Strategy

January 14, 2021 by Robert Grossman

According to a 2019 report from CB Insights [1], between 2010 and 2019 there were 635 AI acquisitions. The acquisitions break into three groups, as can be seen in the visualization below (Figure 1) from CB Insights. Facebook, Apple, Google, Microsoft, Amazon (FAGMA) and Intel accounted for 67 acquisitions, each making 7 or more acquisitions during the period 2010 to August 2019 (Group 1). Fifty two companies made between 2 and 6 acquisitions during this period (Group 2), and 431 companies made a single acquisition (Group 3).

Figure 1 This histogram from CBInsights show the number of AI acquisitions that a company made during the period 2010 – August 2019. Facebook, Apple, Google, Microsoft, Amazon and Intel accounted for 67 acquisitions, each making 7 or more acquisitions during this period. Fifty two companies made between 2 and 6 acquisitions during this period, and 431 companies made a single acquisition. Source: CBInsights, retrieved from: https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/ [1]

Reason 1. Analytic and AI strategy is too important for a company not to have someone with board level experience in this area.

Whether it is to ask critical questions about the single AI acquisition that 431 companies did between 2010 and 2019 or to ask critical questions about a company’s own analytic and AI efforts, a board member who has experience overseeing deployed analytic and AI applications is important.

It is important to note here the difference between someone who has experience in the entire life cycle of analytics from project start to deployment versus someone who only has experience developing analytic models. This is because most analytic projects don’t get deployed and don’t bring the expected value when deployed.

I taught a course at the University of Chicago’s Booth School of Business for three years called the Strategy and Practice of Analytics. One of my favorite case studies was HP’s acquisition of the AI company Autonomy in 2011 for $11.1 billion. As the New York Times reported a year later:

“Last week, H.P. stunned investors still reeling from more than a year of management upheavals, corporate blunders and disappointing earnings when it said it was writing down $8.8 billion of its acquisition of Autonomy, in effect admitting that the company was worth an astonishing 79 percent less than H.P. had paid for it [2].”

Reason 2. Board members with experience developing, deploying and operating complex analytic projects have critical experience using technology to innovate, not just operate.

All boards understand the importance of having board members that understand how to manage operations and risk to align with corporate strategy and drive financial performance. On the other hand, these days using technological innovation to align with corporate strategy and drive financial performance is also important. Successful senior leaders in analytics and AI generally have a deep understanding of technology innovation and how to use it to drive financial performance. See Figure 2.

In contrast, it is common for many CIOs to spend their time as CIOs managing IT operations, reducing IT costs, and using IT to quantify and control risks, rather than using IT to drive technology innovation and drive financial performance.

When successful, good analytic leaders find ways to use data, analytics and AI to change a company, not just run it. Having this perspective on a board is very valuable, as is experience with analytic projects that leverage continuous improvement and analytic innovation.

Figure 2. Traditional CIOs who serve on boards can help boards understand how to use IT to improve the efficiency of operations and reduce risk. Senior technical leaders who understand data and analytics can help boards understand how technical innovation can align with corporate strategy and improve financial performance.

Reason 3. An analytic perspective for a board member helps with evaluating cybersecurity and digital transformation, both critical topics for many boards.

A 2017 Deloitte study found that:

“high-performing S&P 500 companies were more likely (31 percent) to have a tech-savvy board director than other companies (17 percent). The study also found that less than 10 percent of S&P 500 companies had a technology subcommittee and less than 5 percent had appointed a technologist to newly opened board seats. … Historically, board interactions with technology topics often focused on operational performance or cyber risk. The Deloitte study found that 48 percent of board technology conversations centered on cyber risk and privacy topics, while less than a third (32 percent) were concerned with technology-enabled digital transformation.” Source: Khalid Kark et al, Technology and the boardroom: A CIO’s guide to engaging the board (emphasis added) [3].

A senior analytics executive with experience supporting cybersecurity is a double win for a board. Even without this experience, behavioral analytics plays an important role in the cybersecurity for a large enterprise, and senior analytics executives almost always have experience in behavioral analytics.

The remote work caused by the COVID-19 pandemic has accelerated the importance of board level understanding of digital transformation. As a Wall Street Journal article from October 2020 states it:

“If you didn’t have a digital strategy, you do now or you don’t survive,” said Guillermo Diaz Jr. , chief executive officer at software firm Kloudspot, and a former chief information officer at Cisco Systems Inc. “You have to have a digital strategy and digital culture, and a board that thinks that way,” he said. Source: Angus Loten, Many Corporate Boards Still Face Shortage of Tech Expertise, Wall Street Journal [4].

It is hard to image a digital strategy without an analytic strategy. Chapter 8 of my Developing an Analytic Strategy: A Primer [5] describes seven common strategy tools that can be easily adapted to develop an analytic or AI strategy, including SWOT, the Ansoff Matrix, the experience curve and blue ocean strategies.

References

[1] CBInsights, The Race For AI: Here Are The Tech Giants Rushing To Snap Up Artificial Intelligence Startups, CB Insights, September 17, 2019. Retrieved from: https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/.

[2] James B. Stewart, From H.P., a Blunder That Seems to Beat All, New York Times, Nov. 30, 2012. Retrieved from: https://www.nytimes.com/2012/12/01/business/hps-autonomy-blunder-might-be-one-for-the-record-books.html

[3] Khalid Kark, Minu Puranik, Tonie Leatherberry, and Debbie McCormack, CIO Insider: Technology and the boardroom: A CIO’s guide to engaging the board, Deloitte Insights, February 2019. Retrieved from: https://www2.deloitte.com/us/en/insights/focus/cio-insider-business-insights/boards-technology-fluency-cio-guide.html

[4] Angus Loten, Many Corporate Boards Still Face Shortage of Tech Expertise: But more CIOs are expected to earn a seat as the pandemic forces companies to lean on digital, Wall Street Journal, Oct. 12, 2020. Retrieved from: https://www.wsj.com/articles/many-corporate-boards-still-face-shortage-of-tech-expertise-11602537966

Filed Under: Uncategorized Tagged With: AI, AI acqusitions, AI strategy, analytic acquisitions, analytic strategy, analytics, board membership, corporate boards, corporate governance, deploying analytics, digital transformation, innovation

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