20251202 Frank_Melis Vittal_Prabhu Platform_Talk v3b.pdf

20251202 Frank_Melis Vittal_Prabhu Platform_Talk v3b.pdf

• 1.
  Importance of Platformsin AI Era December 4, 2025: Socio-Economic Impact Alliance (SEIA) Inaugural Workshop Mumbai India for Frank Melis (SMRT.BIO) and Prof. Vittal Prabhu (PSU) Presentations online at: https://slideshare.net/spohrer Jim Spohrer Retired Industry Executive (Apple, IBM) Board of Directors (ISSIP, ServCollab) UIDP Senior Fellow LinkedIn: https://www.linkedin.com/in/spohrer/ BlueSky: https://spohrer.bsky.social Email: [email protected] English: https://youtu.be/T4S0uZp1SHw French: https://youtu.be/02hCGRJnCoc https://answersfrom.me/jimtwin Frank Melis Vittal Prabhu
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  Prompt for StudentCEOs to Use to Get Started • Who you are: • Please pretend to be a student about to graduate from a university with a passion to become the CEO of a startup company. • Who are your daily helpers: • As a student CEO you are lucky to have helpers; specifically, multiple AI Digital Workers (Generative AI platforms - OpenA ChatGPTI, Anthropic Claude, Google Gemini, Microsoft Copilot, DuckDuck Mistral, Moonshot Kimi K2 , etc.) who are available to help you and can mimic any type of entity (intelligent individual, business, university, city, state, nation). • Platforms that can help: • As a student CEO you are lucky to know of key platforms that you can use to help build your startup company and service system innovation offering; specifically, SMRT.BIO (business model canvas), AnswerFrom.Me (YourTwin), O*Net (occupations), GitHub (code), Kaggle (data), LinkedIn (people), Wikipedia (information), Google Scholar (publications), YouTube (videos), Slideshare (presentations), Substack (essays), CrunchBase (startups), Forbes Global 2000 (large public companies), 80000 Hours (career guide), Lone-Eagles.Com (historic rural & remote), MyT-Me (T-shaped skills development), ISSIP.org (free, global professional association network).
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  Being Lucky –Making Your Luck (Life & Job*) • Lucky Platforms • Ancient • Family Skills (Generalist) • Medieval • Guild Skills (Specialist) • Early SciTech Skills Ages • Steam Engine • Electricity • Transistor • Shocking Future Skills • AI & Inner Space • Robots & Outer Space • Metaverse & Digital Realm • Glocal (L)earn Rural & Remote Energy & Material Flows Glocal (L)earn = Global& Local Learn to Earn Platforms * = Agency
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  Who am I? JimSpohrer, My Lucky Journey 1956 Maine 1974 MIT 1978 Verbex – startup AI company 1982 Yale 1989 University of Rome La Sapienza, Italy 1989 Apple 1998 IBM 2021 Retired (help non-profits with an eye to the future of service & AI : ISSIP, ServCollab, UIDP) Service is the application of resources (e.g., knowledge, energy, etc.) for the benefit of another. Service System Innovations = (Benefits – Harms) * Capabilities ** 2
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  The Communication Problem: Ina Nutshell • Doing More • Agreeing Less Can GenAI LLMs help people to stop wasting creative friction? Competing ideas can lead to “insanely great” win-win collaborations. If we can figure out communications between people. Latent spaces for people. Barile S, Piciocchi P, Saviano M, Bassano C, Pietronudo C, Spohrer JC (2019)) Towards a new logic of value co-creation in the digital age: doing more and agreeing less. Naples Forum on Service. URL: ttps://tinyurl.com/2019-DoingMoreAgreeingLess Failure To Find Win-Win
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  Truth, Trust, andWisdom • Truth: The ongoing pursuit • Mathematical, Computational, Empirical, Historical, Rhetorical • Knowing a ”better argument” when we see it and why (humility needed) • Trust: Hard to build, easy to destroy • Mental models and predictable behaviors • AI digital twins of all responsible actors • Wisdom: Learning to invest wisely • In becoming better future versions of ourselves • In a world that future generations will want to live in together
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  Resilience: Rapidly Rebuilding FromScratch • Dartnell L (2012) The Knowledge: How to Rebuild Civilization in the Aftermath of a Cataclysm. Westminster London: Penguin Books. 12/2/2025 Jim Spohrer (ISSIP) 7 Part 3: “Solving All Problems” - What could possibly go wrong?
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  Questions? Ask JimTwin https://AnswersFrom.Me/JimTwin
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  JimTwin Adventure… • ChatBot(Tmpt.app) • Scott Zimmer • https://answersfrom.me/jimtwin • Avatar-1 (HeyGen.ai) • SJSU Team (Claude + HeyGen) • https://youtu.be/T4S0uZp1SHw • https://youtu.be/02hCGRJnCoc • Avatar-2 (GitHub) • Arnay Bhatia • https://youtu.be/mwnZjTNegXE • https://youtu.be/QR17aXYgefk
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  Two disciplines: Twoapproaches to the future Artificial Intelligence is almost seventy-years-old discipline in computer science that studies automation and builds more capable technological systems. AI tries to understand the intelligent things that people can do and then does those things with technology. (https://deepmind.com/about “... we aimto build advanced AI - sometimes known as Artificial General Intelligence (AGI)- to expand our knowledge and find new answers. By solving this, we believe we could help people solve thousands of problems.”) Service science is an emerging transdiscipline not yet twenty- years- old that studies transformation and builds smarter and wiser socoi-technical systems – families, businesses, nations, platforms and other special types of responsible entities and their win-win interactions that transform value co-creation and capability co- elevation mechanisms that build more resilient future versions of themselves – what we call service systems entities. Service science tries to understand the evolving ecology of service system entities, their capabilities, constraints, rights, and responsibilities, and then then seeks to improve the quality of life of people (present/smarter and future/wiser) in those service systems. Artificial Intelligence Automation Generations of machines Service Science Transformation Generations of people (responsible entities) Service systems are dynamic configurations of people, technology, organizations, and information, connected internally and externally by value propositions, to other service system entities. (Maglio et al 2009)
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  Service Science: ConceptualFramework 12/2/2025 (c) IBM MAP COG .| 11 Service Science
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  (c) IBM MAPCOG .| 12 Service Science: Transdisciplinary Framework to Study Service Systems Systems that focus on flows of things Systems that govern Systems that support people’s activities transportation & supply chain water & waste food & products energy & electricity building & construction healthcare & family retail & hospitality banking & finance ICT & cloud education &work city secure state scale nation laws social sciences behavioral sciences management sciences political sciences learning sciences cognitive sciences system sciences information sciences organization sciences decision sciences run professions transform professions innovate professions e.g., econ & law e.g., marketing e.g., operations e.g., public policy e.g., game theory and strategy e.g., psychology e.g., industrial eng. e.g., computer sci e.g., knowledge mgmt e.g., statistics e.g., knowledge worker e.g., consultant e.g., entrepreneur stakeholders Customer Provider Authority Competitors resources People Technology Information Organizations change History (Data Analytics) Future (Roadmap) value Run Transform (Copy) Innovate (Invent) Stackholders (As-Is) Resources (As-Is) Change (Might-Become) Value (To-Be)
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  “The best wayto predict the future is to inspire the next generation of students to build it better.” Digital Natives Transportation Water Manufacturing Energy Construction ICT Retail Finance Healthcare Education Government
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  12/2/2025 14 1955 19751995 2015 2035 2055 Learn: Explore and Exploit Better Building Blocks AnswersFrom.Me/JimTwin Heygen + Claude JimTwin V1 (Tmpt.app) 2024 High School Punch cards 1972 IBM Watson AI in the Cloud 2011 2024 2001 2015 2022 2023 1970 1995 2019 2025 2021 2025
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  Jim Spohrer isa Silicon Valley-based Advisor to industry, academia, governments, startups and non-profits on topics of AI upskilling, innovation strategy, and win-win service in the AI era. Most recently with a consulting team working for a top 10 market cap global company, he contributed to a strategic plan for a globally connected AI Academy for achieving rapid, nation- scale upskilling with AI. With the US National Academy of Engineering, he co- led a 2022 workshop on“Service Systems Engineering in the Era of Human- Centered AI” to improve well-being. Jim is a retired IBM Executive since July 2021, and previously directed IBM’s open-source Artificial Intelligence developer ecosystem effort, was CTO IBM Venture Capital Group, co-founded IBM Almaden Service Research, and led IBM Global University Programs. In the 1990’s at Apple Computer, as a Distinguished Engineer Scientist and Technologist, he was executive lead on next generation learning platforms. In the 1970’s, after his MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI. In 1989, prior to joining Apple, he was a visiting scholar at the University of Rome, La Sapienza advising doctoral students working on AI and Education dissertations. With over ninety publications and nine patents, he received the Christopher Lovelock Career Contributions to the Service Discipline award, Gummesson Service Research award, Vargo and Lusch Service-Dominant Logic award, Daniel Berg Service Systems award, and a PICMET Fellow for advancing service science. Jim was elected and previously served as Linux Foundation AI & Data Technical Advisory Board Chairperson and ONNX Steering Committee Member (2020- 2021). Today, he is a UIDP Senior Fellow for contributions to industry- university collaborations, and a member of the Board of Directors of the International Society of Service Innovation (ISSIP) and ServCollab. Jim Spohrer, Advisor Retired Industry Executive (Apple, IBM) UIDP Senior Fellow Board of Directors, ServCollab Board of Directors, ISSIP.org Changemaker Priorities 1. Service Innovation 2. Upskilling with AI 3. Future Universities 4. Geothermal Energy 5. Poverty Reduction 6. Regional Development Competitive Parity Technologies 1. AI & Robotics 2. Digital Twins 3. Open Source 4. AR/VR/XR 5. Geothermal 6. Learning Platforms