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Articles by Jim Euchner
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AIでイノベーションを加速させる ある自動車メーカーは、新車の企画期間を18カ月からわずか4カ月に短縮した。大学の研究者たちは、数カ月かかる抗生物質の発見をわずか1週間に圧縮した。熱交換装置メーカーは、製品開発サイクルタイムを半減させた。 共通するパターンは、イノベーションワークフローに組み込まれたAIが、単なるブレインストーミングではなく、意思決定サイクルを圧縮しているということだ。 AIツイン 加速の可能性を示すスタートアップの1つがAlgoVerdeだ。同社の社長であるウラジミール・ヤシモビッチ氏は、自社のプラットフォームをイノベーションの「フライトシミュレーター」と呼ぶ。同氏は、これを従来の企業における物理的な会議やバラバラな承認プロセスという「障害物コース」と対比させ、このプラットフォームによって企業はイノベーションプロセス全体をソフトウェア上でシミュレートし、迅速に実験できると主張する。...
How AI Shrinks Innovation Cycle Time
Consumer Electronics Show (CES) 2025, in Las Vegas, Nevada, USA, on January 8 2025. (Photo by Artur Widak/NurPhoto via Getty Images) NurPhoto via Getty Images Accelerate Innovation With AI An auto manufacturer cut new vehicle planning time from 18 months to just 4 months. University researchers compressed months of antibiotic discovery into a single week. A manufacturer of heat transfer equipment cut product development cycle time in half.
Don't Confuse Prediction With Intelligence
Close-up of sign reading Yield Autonomous Vehicle Testing, warning motorists to yield to self driving shuttles being tested at the Bishop Ranch office park in San Ramon, California, March 12, 2019. (Photo by Smith Collection/Gado/Getty Images) Getty Images Prediction is Not Intelligence Advances in AI are driving the cost of prediction to zero. But prediction is not intelligence.
Don’t Confuse Prediction With Intelligence
7 hours ago Read this article now. You won’t be able to if your internet is down. Another major outage disrupted the internet earlier this week when San Francisco-based Cloudflare downed ChatGPT, social media platform X, transit infrastructure and other prominent internet services. It’s bad enough when the …
Foresight That Shifts Thinking
Advanced search Research-Technology Management Volume 68, 2025 - Issue 6: Foresighting, Imagining, and Crafting Desirable Futures Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/08956308.2025.2560233?needAccess=true Click to increase image sizeClick to decrease image size Disclosure Statement No potential conflict of interest was reported by the authors.
What Happens To Work When AI Does The Easy Parts?
TOPSHOT - A robot using artificial intelligence is displayed at a stand during the International ... More Telecommunication Union (ITU) AI for Good Global Summit in Geneva, on May 30, 2024. Humanity is in a race against time to harness the colossal emerging power of artificial intelligence for the good of all, while averting dire risks, a top UN official said.
Surviving The Next Shock: How To Fortify Your Supply Chain Now
Global supply chains have driven decades of economic growth but are under unprecedented strain. Recent events exposed vulnerabilities created during a long period of stability ensured by a single superpower, the United States. These include Houthi attacks in the Red Sea, pandemic-induced factory shutdowns, and a new era of unpredictable tariffs. Executives need to rethink long-held assumptions about effective supply chain strategies.
Too Good To Be Human? AI's Surprising Bias Against Quality Writing
The first Turing Test may have been conducted at the ball in My Fair Lady. Professor Higgins has wagered with his friend, Pickering, that he can transform a flower girl into a lady through the science of language. He knows that people judge others by their manner of speech , and he’ll use his skills as a professor of elocution to pull off the ruse. The final test comes when a rival professor conducts his own appraisal of Eliza on the dance floor.
Rethinking Innovation: The Contrasting Ecosystems Of Silicon Valley And Shenzhen
Silicon Valley is the paragon of innovation ecosystems. The combination of strong research universities, venture capital and a remarkable accumulation of risk-taking talent continues to produce some of the world’s most valuable companies. The magic sauce, which is more than a simple combination of elements, has been chronicled in books like The Code: Silicon Valley and the Remaking of America.
From The Universal Self-Instructor To The AI-Powered Tutor
The Universal Self Instructor: An Epitome of Forms and General Reference Manualwas published in 1883 during a time of significant change. The Industrial Revolution was gaining strength, immigration was surging, and the cities were growing at a rapid pace, some doubling in size in a decade. People were trying to make sense of their changing world and adapt to the challenges of an industrial society.
How To Trust Your Gut When You Live In A Sea Of Data
We all live in a sea of data, but three very public professions wallow in it: baseball, poker and election prediction. These three illustrate the benefits and pitfalls of a data-dominant approach to decision making. The key challenge in each is to know when it makes sense to trust the data and when it makes sense to interpret it through the lens of your instincts – instincts borne of experience that just can’t be captured in numbers. Let’s start with baseball.
How To Jump-Start Learning At Work Original
How To Jump-Start Learning At Work There is a paradox at the heart of the new AI technologies. One the one hand, they make almost everything more efficient. Andy Jassy, CEO of Amazon, reports that Amazon has alreadysaved $260 million and 4500 developer-years of work just in software upgrades. Klarna, a customer service company, claims that its AI assistant handles two-thirds of customer service chats and is doing the work of 700 full time agents.
A Magical Slack Time Machine
Generative AI is like a magical slack time machine. It has the potential to free up reams of time for knowledge workers. People can use it to become much more productive at a wide range of tasks, from writing code to writing marketing materials, from doing complex analyses to writing reports based on those analyses.
Do You (Really) Need A Chief Artificial Intelligence Officer?
AI is changing business profoundly and quickly. It is enabling new business models, making existing business models radically more efficient, and creating the potential for products conceived in entirely new ways. It is also making individual contributors more productive at day-to-day tasks, from writing code to writing memos. How should business leaders manage the breadth and depth and speed of this disruption? Many people are advocating for a new role, that of a Chief AI Officer.
How Shifting Work Is Hurting Your Bottom Line
Shifting work to your customers is an oddly attractive way of driving efficiency. It is often called self-service, but that term can be an oxymoron. It is, of course, efficient for me to force you to do work that I used to do, but it is clearly inefficient for you. And yet this shifting of work has become frustratingly common – and it brings with it costs that companies often fail to consider in adopting automation.
Empower Your Employees To Use Generative AI
Generative AI makes it possible for individuals in a wide variety of professions to become far more productive. They can do so without anyone's permission - at school, at work, at home. They don’t even have to be public about their use of the tools. I have used them to write a computer program (in a language that I don't know), to critique the writing of others as editor of a journal, to edit my own writing, and to create images far more interesting than any I would have created on my own.
Innovation Culture and The Hero’s Journey
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Research-Technology Management
Please note: We are unable to provide a copy of the article, please see our help page How do I view content? To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
Digital Transformation: An Interview with David RogersJim Euchner talks with David Rogers about the ways digital technology is changing strategy and what leaders can do to manage the pace and complexity of the digital world.: Research-Technology Managemen
is a globally recognized leader on digital transformation and long-time faculty member at Columbia Business School. In his groundbreaking book(available in 12 languages), Rogers defined the discipline by arguing that digital transformation is primarily about strategy, not technology. In his forthcoming book(2023), Rogers focuses on organizational change, and he offers a framework to rebuild any organization for a future of continuous transformation.
Understanding Innovation Friction
Schonthal is an award-winning professor of strategy, innovation, and entrepreneurship at Northwestern University’s Kellogg School of Management. He coauthored The Human Element: Overcoming the Resistance That Awaits New Ideas with Loran Nordgren. Outside of Kellogg he has been a practitioner of entrepreneurship, design, and innovation for more than 20 years.
Overcoming Resistance to Innovation
By Jim Euchner In “Lean Startup in Large Organizations1,” innovation expert James A. Euchner explores the reasons why corporations are hard-wired to resist change. More important, he shows how companies can get past “antibodies” they form to ward off any deviation from the norm and lays out a step-by-step plan for growth. Resistance to innovation is so prevalent in large companies that it is almost a proverb.
A Human-Centered Future
is a passionate humanist who has guided thought leaders and business leaders to challenge biases, ignite ideas, and build connections and resilience for a secure and sound future. Over her 30-year career, she has worked with government agencies and Fortune 100 companies worldwide. In 1999, Alvin Toffler tapped her as one of the founding members of his eponymous consulting firm, Toffler Associates. From 2007 through 2019, she served as the firm’s CEO and chair of the board.
Creating a New Engineering Discipline for the Age of AI
Distinguished Professor Genevieve Bell is the director of the School of Cybernetics and the 3A Institute (3Ai) at the Australian National University (ANU), the Florence Violet McKenzie Chair, as well as a vice president and a senior fellow at Intel Corporation. She is a cultural anthropologist, technologist, and futurist best known for her work at the intersection of cultural practice and technology development.
Creating a New Engineering Discipline for the Age of AI: An Interview with Genevieve BellJim Euchner talks with Genevieve Bell about cyber-physical systems and the need to develop engineers who can design for their broader implications for people.: Resear
Distinguished Professor Genevieve Bell is the director of the School of Cybernetics and the 3A Institute (3Ai) at the Australian National University (ANU), the Florence Violet McKenzie Chair, as well as a vice president and a senior fellow at Intel Corporation. She is a cultural anthropologist, technologist, and futurist best known for her work at the intersection of cultural practice and technology development.
Leading Digital Transformation
Gerald C. (Jerry) Kane is a professor of information systems and faculty director of the Edmund H. Shea, Jr. Center for Entrepreneurship at Boston College’s Carroll School of Management. He researches and teaches about how companies can understand and respond to digital disruption to undergraduate, graduate, and executive education students worldwide. He has published more than 100 papers, articles, and reports on these topics. He has written two books for MIT Press:and the forthcoming
Lean Startup and Corporate Innovation
Research-Technology Management seeks submissions CALL FOR PAPERS: Special Issue: The Evolving Workforce in R&D and Innovation Research-Technology Management welcomes articles that explore factors shaping the R&D and innovation workforces.. The pandemic is accelerating many trends that were already in progress (for example, remote work) and challenging others (for example, the globalization of R&D).
Research-Technology Management
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