The document provides an overview of IBM Research - Almaden and IBM's university programs. It discusses IBM's history and growth, from punch cards to brain chips. It highlights IBM's work in cognitive computing through projects like Watson and the TrueNorth chip. The presentation emphasizes the importance of universities in driving innovation and the future, and how IBM partners with universities through programs like IBM Research - Almaden. It also discusses IBM's vision of augmenting human expertise through cognitive technologies and building smarter service systems.
This document provides an overview of IBM and its university programs from a presentation given by Jim Spohrer, the director of IBM's Global University Programs and Cognitive Systems Institute Group. Some key points:
1. IBM operates globally with over 400,000 employees and has grown through acquisitions. It leads in patent generation and many employees work remotely.
2. IBM has had a presence in Silicon Valley since 1943 and helped establish the region's technology industry. It now does research in areas like new materials, cognitive systems, and cloud computing.
3. IBM works with universities to inspire students to build the future, and views them as where the future is emerging. Its university programs aim to accelerate regional development through
The document summarizes a panel discussion on skills for digital transformation. It introduces the panel chairs and members, which include professors, administrators, and an IBM vice president. Short biographies are provided for several of the panel members, including Theodor Borangiu, a professor from University Politehnica of Bucharest who founded research centers; Thierry Picq, an academic dean and professor of human resources management; and Gary Kildare, a vice president of human resources at IBM with over 30 years of international experience.
The document discusses the evolution of computing and cognitive systems from the past to the projected future. It describes how cognitive assistants are beginning to appear for various occupations currently, and how they will become more advanced and ubiquitous over time, with tools being available for nonexperts to build their own assistants. The talk outlines a vision of Reality 2.0 where cognitive systems are integrated into most areas of work and life to enhance productivity and creativity by 2035 and beyond.
The document discusses the potential for cognitive systems and cognitive mediators to enhance human capabilities and help address societal challenges. It describes how machine learning and AI are advancing rapidly, with capabilities like image recognition and question answering growing quickly. By 2035, the presentation suggests cognitive mediators could be tools that know users well and help people in various jobs and roles. The document outlines a vision of smarter service systems and industry where cognitive systems and mediators help improve value co-creation and capabilities.
This document provides an overview of IBM and its university programs from a presentation given by Jim Spohrer, the director of IBM's Global University Programs and Cognitive Systems Institute Group. Some key points:
1. IBM operates globally with over 400,000 employees and has grown through acquisitions. It leads in patent generation and many employees work remotely.
2. IBM has had a presence in Silicon Valley since 1943 and helped establish the region's technology industry. It now does research in areas like new materials, cognitive systems, and cloud computing.
3. IBM works with universities to inspire students to build the future, and views them as where the future is emerging. Its university programs aim to accelerate regional development through
The document summarizes a panel discussion on skills for digital transformation. It introduces the panel chairs and members, which include professors, administrators, and an IBM vice president. Short biographies are provided for several of the panel members, including Theodor Borangiu, a professor from University Politehnica of Bucharest who founded research centers; Thierry Picq, an academic dean and professor of human resources management; and Gary Kildare, a vice president of human resources at IBM with over 30 years of international experience.
The document discusses the evolution of computing and cognitive systems from the past to the projected future. It describes how cognitive assistants are beginning to appear for various occupations currently, and how they will become more advanced and ubiquitous over time, with tools being available for nonexperts to build their own assistants. The talk outlines a vision of Reality 2.0 where cognitive systems are integrated into most areas of work and life to enhance productivity and creativity by 2035 and beyond.
The document discusses the potential for cognitive systems and cognitive mediators to enhance human capabilities and help address societal challenges. It describes how machine learning and AI are advancing rapidly, with capabilities like image recognition and question answering growing quickly. By 2035, the presentation suggests cognitive mediators could be tools that know users well and help people in various jobs and roles. The document outlines a vision of smarter service systems and industry where cognitive systems and mediators help improve value co-creation and capabilities.
The document discusses the future of skills and talent needed for Industry 4.0. It suggests that future workers will need to have T-shaped skills with both depth in their core discipline and breadth across other areas. Workers will also need skills in empathy, teamwork, and using new "building blocks" like cognitive mediators and AI assistants. By 2035, these cognitive mediators could become common tools that help people collaborate and innovate together on solving grand challenges.
The document discusses the emergence of smarter service systems and cognitive assistants. By 2035, tools will allow students to build basic question answering systems from textbooks within a week and faculty-level systems within a day. People will have over 100 cognitive assistants working for them by 2055. The document argues that cognitive mediators will know individuals better than they know themselves by 2035. Ultimately, cognitive systems working through cognitive mediators could empower organizations, employees and customers by assisting in closing skills gaps and co-creating smarter service systems in a collaborative economy.
The document discusses moving from cognitive computing to wise or wisdom computing through a service science perspective. It considers how tools, assistants and collaborators could progress to become cognitive or moral entities. Cognitive assistants could benefit all occupations and enable smart service systems where everyone can access support like an executive secretary or personal coach. Moving forward, research directions include developing "The CSIG Algorithm" and cognitive assistants for policymakers, as well as defining what wise/wisdom computing entails through literature reviews and roadmaps. The talk was presented by Jim Spohrer from IBM.
The document discusses IBM's Cognitive Systems Institute Group (CSIG) and its director Jim Spohrer. CSIG works to build cognitive systems and platforms using techniques from fields like natural language processing, machine learning, and neuromorphic computing. The goal is to develop cognitive assistants that can augment human expertise to help solve complex problems. Universities are seen as important partners in this work through collaborations on research and by inspiring students to help build smarter service systems for the future.
Jim Spohrer gave a presentation about smarter and wiser service systems. He discussed how building blocks for artificial intelligence like machine learning and cognitive computing are advancing rapidly. However, he questions whether this is making people wiser. By 2035, cognitive mediators could be tools, assistants, collaborators and coaches that help all people in all roles. This could enable a reality where all entities in a network use cognitive mediators to enhance interactions and co-create value. The goal is assisting individuals and organizations in developing wiser service systems that empower employees, customers and citizens.
This document summarizes a talk given by Jim Spohrer from IBM on moving from cognitive to wise computing using a service science perspective. Some key points from the talk include:
- Cognitive systems are getting smarter, but the goal is to make them wiser by considering their roles, capabilities, constraints, rights and responsibilities within complex service systems.
- Systems could progress from tools to assistants to collaborators and potentially moral entities if designed properly.
- Cognitive assistants could augment many occupations and roles through smart service systems.
- A service science perspective looks at the ecology of relationships between different service system entities.
This document summarizes a presentation about cognitive systems and startup opportunities. It discusses how cognitive building blocks like machine learning, natural language processing, and question answering are improving rapidly. By 2035, it suggests cognitive mediators could help anyone build a question answering system for a textbook in a day. The presentation also discusses opportunities for startups in areas like cognitive assistants for various occupations. It envisions a future where most people have 100 digital workers managed by cognitive mediators that know people better than themselves.
This document discusses the development of smart, people-centered service systems and cognitive assistants for all occupations. It describes how computing capabilities have developed from early computer programs in the 1970s to modern capabilities like image tagging and automatic captioning. The document envisions continued growth in cognitive abilities, with tools being able to build basic question answering systems within a week by 2025 and advanced systems within a day by 2035. It proposes that by 2035, people will have "cognitive mediators" that act as tools, assistants, collaborators and coaches. The goal is for wise service systems where all entities use cognitive mediators to enhance value creation through interactions and empathy. The document argues this will require developing future-ready, "T-
This document summarizes a webinar on developing a "T-shaped" mindset. It discusses the benefits of having both depth in one field and breadth across fields. It profiles an example of a successful T-shaped individual, Dr. Kathryn Sullivan, and her career spanning toys, travel, and adventure. The document also summarizes perspectives from a university summit on how developing T-shaped skills can help with teamwork, innovation, solving complex challenges, and allowing people from different disciplines to efficiently communicate and pool their expertise.
1) The document discusses the coming abundance of empowered makers and the maker movement. It argues that computing power will continue to progress exponentially, enabling individuals to know and make more.
2) By 2035, computing power is predicted to match one human brain, and by 2055 to match all human brains combined. This will allow individuals to be "T-shaped makers" with breadth across different sectors, regions, cultures and disciplines as well as depth of expertise.
3) The talk advocates inspiring students to build a better future and close the service innovation skills gap through collaborative service systems empowered by cognitive mediators.
The document discusses various paths to becoming 64 times smarter, including improving learning through better models of concepts and learners, guided learning paths, lifelong learning, and early education. It also discusses gaining performance support through cognitive systems. The next sections discuss the need for future-ready, T-shaped innovators with skills across many disciplines, sectors, and cultures, as well as a deep skill in one area. The presentation recommends educating service innovators and discusses trends in digital natives and future courses that use cognitive systems to enhance learning and build startups.
The document discusses how data and cognitive technologies can empower people and communities. It describes how technologies like cloud computing, the internet of things, cognitive systems, and analytics can generate valuable insights from data. When combined with new computing architectures like neuromorphic systems, these technologies will enable a new generation of cognitive applications that can augment human expertise. The document argues that these cognitive technologies, when developed responsibly, have the potential to tackle important challenges and create economic opportunities in various industries and sectors including agriculture.
Jim Spohrer (IBM) gave a presentation on cognitive startups and the future of computing. He discussed how machine learning and AI are advancing rapidly, with capabilities like image tagging and captioning already available. By 2035, he predicted "cognitive mediators" will be tools that know users better than they know themselves and help people in their jobs and daily lives. While machines are getting smarter, developing wisdom requires focusing on inspiring students to use new technologies to solve problems. The future will require "T-shaped" thinkers with broad skills and deep expertise to build a better world.
The document summarizes Jim Spohrer's presentation on open innovation and the singularity with regards to the future of industries and business models. Spohrer discusses how business models and technologies co-evolve, with value propositions changing from saving time to reducing costs to providing more value through user models and building blocks. He predicts that by 2035, most people will have at least one cognitive assistant, and by 2055, people will have 100 cognitive assistants each. Spohrer also outlines the CSIG (Cognitive Systems Institute Group) model of collaboration between IBM and universities to advance research in cognitive systems.
Role of Technology and Automation in Smart Service Systems
This presentation discusses the role of technology and automation in smart service systems. It notes that service systems require integration of knowledge from various disciplines like engineering, computer science, social science and more. The presentation provides examples of various technologies like cognitive assistants that can augment human expertise in different occupations. It also discusses the vision of cognitive systems that can boost learning, discovery, and transformation. The presentation provides an overview of the history of AI and examples of current and future technologies like Watson and how they are being applied in different sectors.
Bill Gates and Steve Jobs were both visionary founders of pioneering technology companies. Gates founded Microsoft in 1975 and grew it to become the worldwide leader in software. Jobs co-founded Apple Computers in 1976 and pioneered the personal computer revolution with GUI-based computers like the Mac. Both used their business successes to pursue philanthropic work later in life through organizations like the Bill & Melinda Gates Foundation.
Facing the future of technology and learning howard college nov 2021Maria H. Andersen
In the last decade, innovations like adaptive learning, smartphones, learning analytics, OER, and MOOCs have been chipping away at the corners of traditional education – causing us to teach using more technology. The pandemic accelerated technology adoption, but we still haven’t faced the real crisis in curriculum. The next wave of disruption to higher ed will not come from more technology to incorporate into teaching, but will be caused by the existence of advanced technology in the workforce. The existence of technology like AI will force us to regularly alter the curriculum we teach to keep it relevant to the world around us. This talk provides guidance for changing how we design and assess programs, courses, and modalities of delivery in order to stay relevant as educational institutions.
The document discusses future trends in technology, education, jobs, and economic development. It explores topics like mechatronics, robotics, biotechnology, nanotechnology, and their implications. It also examines challenges and opportunities in STEM education and workforce development collaboration between education, industry, and economic development organizations. Strategies discussed include cultivating more innovators through interdisciplinary learning, project-based education, and public-private partnerships.
Facing the future of technology and learning mizzou jan 2022Maria H. Andersen
The document discusses how technology and the amount of data and information in the world is rapidly changing. It notes that smartphones have transformed how people live and work in just one decade. It also discusses how artificial intelligence and automation may disrupt many jobs and careers. The document argues that curriculum in higher education needs to change and adapt to better prepare students for this changing environment by focusing less on memorization, allowing for more flexible expertise, and enabling students to upgrade their skills more quickly for new careers.
Facing the Future of Technology and Learning OLC Nov 2020Maria H. Andersen
In the last decade, innovations like adaptive learning, smartphones, learning analytics, OER, and MOOCs have been chipping away at the corners of traditional education. Then came COVID-19, causing a rapid acceleration of the adoption of these kinds of technology and new pedagogies in under a month. The next wave of disruption to higher ed will not come from more technology to incorporate into teaching, but will be caused by the existence of advanced technology in the workforce. The existence of technology like AI will force us to alter the content we teach, how we assess, and how we design programs, modalities, and curriculum in order to stay relevant as educational institutions.
The document discusses cognitive assistants and smart service systems. Cognitive assistants are systems that use language, learning, levels of confidence in recommendations, and potential physical embodiments to assist humans. Smart service systems are networks where all entities use cognitive mediators to enhance value co-creation interactions. The talk outlines how cognitive assistants could support various occupations by assisting with individual tasks. It also discusses IBM's work on cognitive systems, platforms, and components that could enable the development of advanced cognitive assistants and smart service systems in the future.
The document discusses how rapidly artificial intelligence and robotics may impact jobs. It references a 2013 Mother Jones article that argues smart machines will likely take many jobs sooner than expected, though they probably won't eliminate all jobs. Additional readings are provided from discussions led by the CEO of Innovation 4 Jobs and Vint Cerf of Google on the potential effects of AI and how innovation may disrupt unemployment.
The document discusses the future of skills and talent needed for Industry 4.0. It suggests that future workers will need to have T-shaped skills with both depth in their core discipline and breadth across other areas. Workers will also need skills in empathy, teamwork, and using new "building blocks" like cognitive mediators and AI assistants. By 2035, these cognitive mediators could become common tools that help people collaborate and innovate together on solving grand challenges.
The document discusses the emergence of smarter service systems and cognitive assistants. By 2035, tools will allow students to build basic question answering systems from textbooks within a week and faculty-level systems within a day. People will have over 100 cognitive assistants working for them by 2055. The document argues that cognitive mediators will know individuals better than they know themselves by 2035. Ultimately, cognitive systems working through cognitive mediators could empower organizations, employees and customers by assisting in closing skills gaps and co-creating smarter service systems in a collaborative economy.
The document discusses moving from cognitive computing to wise or wisdom computing through a service science perspective. It considers how tools, assistants and collaborators could progress to become cognitive or moral entities. Cognitive assistants could benefit all occupations and enable smart service systems where everyone can access support like an executive secretary or personal coach. Moving forward, research directions include developing "The CSIG Algorithm" and cognitive assistants for policymakers, as well as defining what wise/wisdom computing entails through literature reviews and roadmaps. The talk was presented by Jim Spohrer from IBM.
The document discusses IBM's Cognitive Systems Institute Group (CSIG) and its director Jim Spohrer. CSIG works to build cognitive systems and platforms using techniques from fields like natural language processing, machine learning, and neuromorphic computing. The goal is to develop cognitive assistants that can augment human expertise to help solve complex problems. Universities are seen as important partners in this work through collaborations on research and by inspiring students to help build smarter service systems for the future.
Jim Spohrer gave a presentation about smarter and wiser service systems. He discussed how building blocks for artificial intelligence like machine learning and cognitive computing are advancing rapidly. However, he questions whether this is making people wiser. By 2035, cognitive mediators could be tools, assistants, collaborators and coaches that help all people in all roles. This could enable a reality where all entities in a network use cognitive mediators to enhance interactions and co-create value. The goal is assisting individuals and organizations in developing wiser service systems that empower employees, customers and citizens.
This document summarizes a talk given by Jim Spohrer from IBM on moving from cognitive to wise computing using a service science perspective. Some key points from the talk include:
- Cognitive systems are getting smarter, but the goal is to make them wiser by considering their roles, capabilities, constraints, rights and responsibilities within complex service systems.
- Systems could progress from tools to assistants to collaborators and potentially moral entities if designed properly.
- Cognitive assistants could augment many occupations and roles through smart service systems.
- A service science perspective looks at the ecology of relationships between different service system entities.
This document summarizes a presentation about cognitive systems and startup opportunities. It discusses how cognitive building blocks like machine learning, natural language processing, and question answering are improving rapidly. By 2035, it suggests cognitive mediators could help anyone build a question answering system for a textbook in a day. The presentation also discusses opportunities for startups in areas like cognitive assistants for various occupations. It envisions a future where most people have 100 digital workers managed by cognitive mediators that know people better than themselves.
This document discusses the development of smart, people-centered service systems and cognitive assistants for all occupations. It describes how computing capabilities have developed from early computer programs in the 1970s to modern capabilities like image tagging and automatic captioning. The document envisions continued growth in cognitive abilities, with tools being able to build basic question answering systems within a week by 2025 and advanced systems within a day by 2035. It proposes that by 2035, people will have "cognitive mediators" that act as tools, assistants, collaborators and coaches. The goal is for wise service systems where all entities use cognitive mediators to enhance value creation through interactions and empathy. The document argues this will require developing future-ready, "T-
This document summarizes a webinar on developing a "T-shaped" mindset. It discusses the benefits of having both depth in one field and breadth across fields. It profiles an example of a successful T-shaped individual, Dr. Kathryn Sullivan, and her career spanning toys, travel, and adventure. The document also summarizes perspectives from a university summit on how developing T-shaped skills can help with teamwork, innovation, solving complex challenges, and allowing people from different disciplines to efficiently communicate and pool their expertise.
1) The document discusses the coming abundance of empowered makers and the maker movement. It argues that computing power will continue to progress exponentially, enabling individuals to know and make more.
2) By 2035, computing power is predicted to match one human brain, and by 2055 to match all human brains combined. This will allow individuals to be "T-shaped makers" with breadth across different sectors, regions, cultures and disciplines as well as depth of expertise.
3) The talk advocates inspiring students to build a better future and close the service innovation skills gap through collaborative service systems empowered by cognitive mediators.
The document discusses various paths to becoming 64 times smarter, including improving learning through better models of concepts and learners, guided learning paths, lifelong learning, and early education. It also discusses gaining performance support through cognitive systems. The next sections discuss the need for future-ready, T-shaped innovators with skills across many disciplines, sectors, and cultures, as well as a deep skill in one area. The presentation recommends educating service innovators and discusses trends in digital natives and future courses that use cognitive systems to enhance learning and build startups.
The document discusses how data and cognitive technologies can empower people and communities. It describes how technologies like cloud computing, the internet of things, cognitive systems, and analytics can generate valuable insights from data. When combined with new computing architectures like neuromorphic systems, these technologies will enable a new generation of cognitive applications that can augment human expertise. The document argues that these cognitive technologies, when developed responsibly, have the potential to tackle important challenges and create economic opportunities in various industries and sectors including agriculture.
Jim Spohrer (IBM) gave a presentation on cognitive startups and the future of computing. He discussed how machine learning and AI are advancing rapidly, with capabilities like image tagging and captioning already available. By 2035, he predicted "cognitive mediators" will be tools that know users better than they know themselves and help people in their jobs and daily lives. While machines are getting smarter, developing wisdom requires focusing on inspiring students to use new technologies to solve problems. The future will require "T-shaped" thinkers with broad skills and deep expertise to build a better world.
The document summarizes Jim Spohrer's presentation on open innovation and the singularity with regards to the future of industries and business models. Spohrer discusses how business models and technologies co-evolve, with value propositions changing from saving time to reducing costs to providing more value through user models and building blocks. He predicts that by 2035, most people will have at least one cognitive assistant, and by 2055, people will have 100 cognitive assistants each. Spohrer also outlines the CSIG (Cognitive Systems Institute Group) model of collaboration between IBM and universities to advance research in cognitive systems.
Role of Technology and Automation in Smart Service Systems
This presentation discusses the role of technology and automation in smart service systems. It notes that service systems require integration of knowledge from various disciplines like engineering, computer science, social science and more. The presentation provides examples of various technologies like cognitive assistants that can augment human expertise in different occupations. It also discusses the vision of cognitive systems that can boost learning, discovery, and transformation. The presentation provides an overview of the history of AI and examples of current and future technologies like Watson and how they are being applied in different sectors.
Bill Gates and Steve Jobs were both visionary founders of pioneering technology companies. Gates founded Microsoft in 1975 and grew it to become the worldwide leader in software. Jobs co-founded Apple Computers in 1976 and pioneered the personal computer revolution with GUI-based computers like the Mac. Both used their business successes to pursue philanthropic work later in life through organizations like the Bill & Melinda Gates Foundation.
Facing the future of technology and learning howard college nov 2021Maria H. Andersen
In the last decade, innovations like adaptive learning, smartphones, learning analytics, OER, and MOOCs have been chipping away at the corners of traditional education – causing us to teach using more technology. The pandemic accelerated technology adoption, but we still haven’t faced the real crisis in curriculum. The next wave of disruption to higher ed will not come from more technology to incorporate into teaching, but will be caused by the existence of advanced technology in the workforce. The existence of technology like AI will force us to regularly alter the curriculum we teach to keep it relevant to the world around us. This talk provides guidance for changing how we design and assess programs, courses, and modalities of delivery in order to stay relevant as educational institutions.
The document discusses future trends in technology, education, jobs, and economic development. It explores topics like mechatronics, robotics, biotechnology, nanotechnology, and their implications. It also examines challenges and opportunities in STEM education and workforce development collaboration between education, industry, and economic development organizations. Strategies discussed include cultivating more innovators through interdisciplinary learning, project-based education, and public-private partnerships.
Facing the future of technology and learning mizzou jan 2022Maria H. Andersen
The document discusses how technology and the amount of data and information in the world is rapidly changing. It notes that smartphones have transformed how people live and work in just one decade. It also discusses how artificial intelligence and automation may disrupt many jobs and careers. The document argues that curriculum in higher education needs to change and adapt to better prepare students for this changing environment by focusing less on memorization, allowing for more flexible expertise, and enabling students to upgrade their skills more quickly for new careers.
Facing the Future of Technology and Learning OLC Nov 2020Maria H. Andersen
In the last decade, innovations like adaptive learning, smartphones, learning analytics, OER, and MOOCs have been chipping away at the corners of traditional education. Then came COVID-19, causing a rapid acceleration of the adoption of these kinds of technology and new pedagogies in under a month. The next wave of disruption to higher ed will not come from more technology to incorporate into teaching, but will be caused by the existence of advanced technology in the workforce. The existence of technology like AI will force us to alter the content we teach, how we assess, and how we design programs, modalities, and curriculum in order to stay relevant as educational institutions.
The document discusses cognitive assistants and smart service systems. Cognitive assistants are systems that use language, learning, levels of confidence in recommendations, and potential physical embodiments to assist humans. Smart service systems are networks where all entities use cognitive mediators to enhance value co-creation interactions. The talk outlines how cognitive assistants could support various occupations by assisting with individual tasks. It also discusses IBM's work on cognitive systems, platforms, and components that could enable the development of advanced cognitive assistants and smart service systems in the future.
The document discusses how rapidly artificial intelligence and robotics may impact jobs. It references a 2013 Mother Jones article that argues smart machines will likely take many jobs sooner than expected, though they probably won't eliminate all jobs. Additional readings are provided from discussions led by the CEO of Innovation 4 Jobs and Vint Cerf of Google on the potential effects of AI and how innovation may disrupt unemployment.
The document proposes a "City Infrastructure as a Service" model to help cities address challenges of rapid urbanization, economic constraints, and environmental sustainability. Under this model, a service provider would deploy smart city solutions, be accountable for managing services, and work with an asset owner providing financing support, allowing cities to gain benefits without capital investment. Selected pilot cities would partner with Cisco and industry leaders to accelerate their digital transformation through investments, expertise, and new partnership models.
The document summarizes a presentation given by Jim Spohrer from IBM on smart service systems and cognitive assistants. Some key points:
- A service science perspective considers how service systems, value co-creation, and capabilities evolve through interactions between entities that have different capabilities, constraints, rights, and responsibilities.
- Cognitive systems and cognitive assistants can help augment and scale human expertise.
- IBM is working on developing cognitive assistants that can help with different occupations by assisting with various tasks.
- The vision is for cognitive technologies and assistants to augment and scale human expertise across many domains.
The panel discussion addressed predictions for the future of industries, business models, and cognitive technologies. Some predictions included tools being available by 2025 to build student-level question answering from textbooks in a week and by 2035 to build faculty-level question answering in a day. The discussion also suggested most people having at least one cognitive assistant by 2035 and 100 assistants by 2055. The panel proposed a model for university and IBM collaboration around cognitive systems research. They advocated identifying weak links in areas like energy, water, and trust and augmenting entities with cognitive mediators to boost value co-creation by 2035.
Solomon Darwin's "Chief Innovation Officers" Roundtable - a catalyst speaker sets the stage for a lively lunchtime discussion and brainstorming session
SSIP's T-shaped movement is about open innovation for people's knowledge (what), skills (how), attitudes (why), and networks (who) - know what, know how, know why, know who.
The document discusses IBM's University Programs (IBM UP) and initiatives to build innovation capacity. It describes how IBM UP addresses skills shortages by finding lead academics and accelerating skills programs, with hundreds of new programs created. It also discusses how IBM UP helps to reframe university relationships and create regional economic development by supporting university startups and helping graduates develop skills for in-demand jobs. Lessons learned include the need to let initiatives grow and restart them quickly to maintain focus on skills and sharing.
IBM University Programs aims to help build a smarter planet through research, skills development, recruiting, solutions, volunteering, and regional development. The programs focus on six areas: Research, Readiness, Recruiting, Revenue, Responsibility, and Regions. The goal is to produce T-shaped professionals with both depth in their field and breadth across disciplines to solve problems at the intersection of technology and business.
The document discusses IBM's University Programs and their role in developing regional entrepreneurial ecosystems (U-BEEs). Key points:
- IBM University Programs focus on the 6 R's: Research, Readiness, Recruiting, Revenue, Responsibility, and Regions to accelerate regional development through U-BEEs.
- U-BEEs are university-based entrepreneurial ecosystems that create and sustain local jobs through innovation in all sectors and help distribute the future more evenly across regions.
- On-campus IBMers help develop students' skills for building smarter planet solutions, support new ventures, and refresh their own skills, contributing to regional growth.
By 2035 people are symbiotic with cognitive mediators.
Cognitive Systems Institute Group (CSIG) and the evolution of phone-a-friend/expert service. From 1955 to 2055. Cognitive mediators will boost the creativity and productivity of people.
The document discusses scaling excellence in service systems. It notes that service systems involve stakeholders, technology, shared information, and organizations connected through value propositions. Scaling service systems requires investment in roadmaps for smarter buildings, universities, and cities. A service science perspective considers the evolving ecology of entities within service systems, how value is co-created, and how capabilities are elevated. Cognitive systems and cognitive assistants can help scale service innovation excellence and close the skills gap between knowing and doing.
This document discusses IBM University Programs (IBM UPward), which aims to accelerate regional development through collaboration between IBM and universities. It outlines IBM's 6 R's approach of research, readiness, recruiting, revenue, responsibility and regions. It then provides examples of IBM's work in areas like smarter cities, entrepreneurship support, cognitive computing, and preparing students for future jobs and technologies.
Jim Spohrer discusses service science, service platforms, and trends related to IBM's university programs. He defines ISSIP as the International Society of Service Innovation Professionals and a service platform as accessing places and entities at scale to rapidly share new knowledge globally. Service science is described as an emerging discipline focused on value co-creation through service systems. Future trends discussed include self-driving cars, the circular economy, cognitive computing, and universities collaborating with IBM Research on developing Watson.
University and industry interactions for a smarter planet 20110830 v4ISSIP
The document discusses opportunities for collaboration between universities and IBM to build a smarter planet. It outlines IBM's university programs that focus on research, skills development, recruiting, and helping regions through entrepreneurial ecosystems. The goal is improving quality of life by better understanding infrastructure, institutions, individuals, and shared information across generations.
This document summarizes a presentation on social physics from a service science perspective. The presentation covered several topics related to social physics including its history from Auguste Comte to modern data science applications. Specific concepts discussed include idea flows within organizations, the role of data in identifying tipping points, and how cognitive systems can augment human expertise. The presentation concluded with a discussion of IBM's Watson platform and how cognitive technologies may transform industries and jobs in the future.
2030 inspire students to build it better 20141230 v1ISSIP
2030 Predictions for Smarter Service Systems basedPlatform Technologies such as Smarter Cities Intelligent Operations Centers and Cognitive Assistants for All Occupations - all industry sectors transportation, water, manufacturing, energy, ICT, buildings, retail, finance, health, education, government
IBM University Programs worldwide (IBM UPward) aims to accelerate regional development through partnerships between IBM and universities globally. The program discusses how building smarter planets through smarter service systems can help address grand challenges involving healthcare, education, finances, and government. It also outlines how two generations of professionals will be needed to manage ongoing changes through 2030 and beyond.
The document discusses IBM University Programs and its goals of research collaboration, skills development, recruiting, generating revenue, social responsibility, and supporting regional economic development through its relationships with universities. It outlines the 6 R's - research, readiness, recruiting, revenue, responsibility, and regions. It then provides examples of partnerships between IBM and universities around the world and how they further these goals.
This document provides an overview of IBM's work in cognitive computing and artificial intelligence. It discusses IBM's research areas like machine learning, natural language processing, and knowledge representation. It provides a brief history of AI and defines the differences between AI and intelligence augmentation. The document outlines IBM's vision of cognitive systems augmenting workers in different occupations and industries. It showcases some of IBM's cognitive products and services like Watson Discovery Advisor and user modeling capabilities. Overall, the document presents IBM's perspective on the progress and future of cognitive computing.
The document discusses IBM University Programs worldwide (IBM UPward), which aims to accelerate regional development through collaboration with universities. It provides an overview of IBM's work with universities to build a smarter planet by developing instrumented, interconnected, and intelligent systems. IBM UPward works with universities and other partners to solve grand challenges in areas like transportation, water, energy, and more through programs and competitions. The goal is to develop new technologies and a skilled workforce to improve quality of life around the world.
This document discusses University-Based Entrepreneurial Ecosystems (U-BEEs) and their role in accelerating regional development. It notes that universities are usually top job creators in regions when they have associated incubators, science parks, data centers, hospitals, schools and other facilities. These U-BEEs connect information flows between ecosystems in cities. The document also provides an outline of its discussion on trends of universities becoming more locally connected research centers and the evolution of cities becoming smarter.
Spohrer on AI for SIRs Post 125 20240618 v6.pptxISSIP
Sons in Retirement (SIRs)
Post 125 San Jose
Host - Gene Plevyak
URL: https://sirinc2.org/branch125/
We are SIR Westgate Branch 125
We meet on the third Tuesday of the month
at the Three Flames Restaurant
1547 Meridian Ave., San Jose
Fellowship Hour: 11:00 AM
Host Santokh Badesha: https://www.linkedin.com/in/santokh-badesha-24b72916/
Recommended Readings (If Possible, Skim Before the Talk)
Patent: Management of Usage Costs of a Resource (IBM)
Jim Spohrer patent: Graphical Interface for Interacting Constrained Actors (Apple)
Jim Spohrer's Google Scholar Profile, includes open publications as well as patents
Apple's ATG Authoring Tools - Balancing Open and Proprietary Work
Forbes - Cognitive World
AI Magazine - Role of Open Source in AI
AI and Education 20240327 v16 for Northeastern.pptxISSIP
Prof. Mark L. Miller (https://www.linkedin.com/in/mlmiller751/), Northeastern University, class on AI and Education
Speaker: Jim Spohrer (https://www.linkedin.com/in/spohrer/)
===
Speaker: Dr. Jim Spohrer, retired Apple and IBM executive, currently Board of Directors for ISSIP.org (International Society of Service Innovation Professionals).
Title: AI and Education: A Historical Perspective and Possible Future Directions
Abstract: This talk will briefly survey my 50 years working in the area of AI & Education. At MIT (1974- 1978), MIT's summer EXPLO schools for AI and entrepreneurship classes. At Verbex (1978-1982), speech recognition, language models, early generative AI. At Yale (1982-1989), MARCEL, a generate- test-and-debug architecture and student model of programming bugs. At Apple (1989-1998), from content (SK8) to community (EOE) to context (WorldBoard). At IBM (1999 - 2021), service science and open source AI. At ISSIP (2021-present), generative AI and digital twins.
Bio:Jim’s Bio (142 words):
Jim Spohrer is a student of service science and open-source, trusted AI. He is a retired industry executive (Apple, IBM), who is a member of the Board of Directors of the non-profit International Society of Service Innovation Professionals (ISSIP). At IBM, he served as Director for Open Source AI/Data, Global University Programs, IBM Almaden Service Research, and CTO IBM Venture Capital Relations Group. At Apple, he achieved Distinguished Engineer Scientist Technologist (DEST) for authoring and learning platforms. After MIT (BS/Physics), he developed speech recognition systems at Verbex (Exxon), then Yale (PhD/Computer Science AI). With over ninety publications and nine patents, awards include AMA ServSIG Christopher Lovelock Career Contributions to the Service Discipline, Evert Gummesson Service Research, Vargo-Lusch Service-Dominant Logic, Daniel Berg Service Systems, and PICMET Fellow for advancing service science. In 2021, Jim was appointed a UIDP Senior Fellow (University-Industry Demonstration Partnership).
Readings:Apple's ATG Authoring Tools:
URL: https://dl.acm.org/doi/pdf/10.1145/279044.279173 Blog: WorldBoard
URL: https://service-science.info/archives/2060 Blog: Reflecting on Generative AI and Digital Twins
URL: https://service-science.info/archives/6521 Book: Service in the AI Era
Attached: Pages 46-54.Video: Speech Recognition (History)
URL: https://youtu.be/G9z4VAsw_kw
Thanks, -Jim
--Jim Spohrer, PhDBoard of Directors, ISSIP (International Society of Service Innovation Professionals) Board of Directors, ServCollab ("Serving Humanity Through Collaboration")Senior Fellow, UIDP ("Strengthening University-Industry Partnerships")Retired Industry Executive (Apple, IBM)
March 20, 2024
Host Ganesan Narayanasamy (https://www.linkedin.com/in/ganesannarayanasamy/)
Uploaded here:
===
Event 20230320
https://www.linkedin.com/posts/ganesannarayanasamy_productnation-semiconductorproductnation-activity-7174119132114620418-jvpx
Themed Shaping a Sustainable $1 Trillion Era, semicondynamics.org 2024 will gather industry experts on March 20th at Milpitas, California , for insights into the latest trends and innovations Accelerating AI with Semiconductor RTL Front end services and workforce development. The event will feature keynotes from the Semiconductor ecosystem, academia and Industries.
March 20, 2024
Host Ganesan Narayanasamy (https://www.linkedin.com/in/ganesannarayanasamy/)
Uploaded here:
===
Event 20230320
https://www.linkedin.com/posts/ganesannarayanasamy_productnation-semiconductorproductnation-activity-7174119132114620418-jvpx
Themed Shaping a Sustainable $1 Trillion Era, semicondynamics.org 2024 will gather industry experts on March 20th at Milpitas, California , for insights into the latest trends and innovations Accelerating AI with Semiconductor RTL Front end services and workforce development. The event will feature keynotes from the Semiconductor ecosystem, academia and Industries.
Jim Spohrer is an advisor to industry, academia, governments, startups and non-profits on topics of AI upskilling, innovation strategy, and win-win service in the AI era. He is a retired IBM executive and was previously the director of IBM's open-source AI developer ecosystem effort. In this talk, Spohrer discusses topics such as how to keep up with accelerating change, verifying results from generative AI, and understanding how generative AI works through concepts like monkeys at typewriters in high dimensional spaces. He emphasizes balancing hype with realism and doing work alongside gaining knowledge.
This document contains notes from a presentation by Jim Spohrer on leadership, career experiences, and technology topics. The presentation covers collaborating with others, teamwork practices, storytelling, communication skills, leadership habits and mindsets. It includes links to Spohrer's online profiles and resources. Tables provide estimates of increasing GDP per employee over time and a timeline of Spohrer's career highlights and accomplishments in the fields of service science and artificial intelligence.
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
Brno-IESS 20240206 v10 service science ai.pptxISSIP
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
NordicHouse 20240116 AI Quantum IFTF dfiscussionv7.pptxISSIP
Jim Spohrer presented on AI and quantum computing. He discussed the history of AI from the 1955 Dartmouth workshop to modern advances like AlphaGo, GPT-3, and DALL-E 2. Spohrer noted that computation costs have decreased exponentially over time, driving increases in knowledge worker productivity. He highlighted several experts and resources he follows to stay informed on AI capabilities and implications. Spohrer sees opportunities to improve learning and performance through advances in learning sciences, technology, lifelong learning, and early education. The talk addressed how generative AI works and challenges around verification.
20240104 HICSS Panel on AI and Legal Ethical 20240103 v7.pptxISSIP
20240103 HICSS Panel
Ethical and legal implications raised by Generative AI and Augmented Reality in the workplace.
Souren Paul - https://www.linkedin.com/in/souren-paul-a3bbaa5/
Event: https://kmeducationhub.de/hawaii-international-conference-on-system-sciences-hicss/
Congratulations to the organizers of the “Symposium for Celebrating 40 Years of Bayesian Learning in Speech and Language Processing” and to Prof. Chin-Hui Lee of Georgia Tech the Honorary Chair of the Symposium.
Thanks to Huck Yang (Amazon) for the invitation to record this short message.
Huck Yang
URL: https://www.linkedin.com/in/huckyang/
Event: https://bayesian40.github.io
Recording:
Slides:
URL: https://professionalschool.eitdigital.eu/generative-ai-essentials
Course on Generative Al
Description:
Generative AI is a world-changing power tool that is getting better by the day. So now is the time to get truly inspired, climb up the learning curve, and unleash more of your creative potential.
Learning Topics:
* Inspiration: What is Generative AI in the context of AI's history, present, and future
* Climbing Up: Ways to accelerate your learning trajectory
* Unleashing Creativity: Ways to stay future-ready in the AI era
What You'll Take Away:
By the end of this session, you'll understand the importance of upskilling with today's generative AI tools to get more work done, both faster and at higher quality, as well as some pitfalls to avoid, all within the broader context of the past, present, and future of Artificial Intelligence (AI) and Intelligence Augmentation (IA).
Learning Topics
Inspiration: What is Generative AI in the context of AI's history, present, and future.
Climbing Up: Ways to accelerate your learning trajectory.
Unleashing Creativity: Ways to stay future-ready in the AI era.
Deep dive into ChatGPT's features.
Techniques for basic and advanced prompting and real-world applications.
- Service science has progressed significantly in the past two decades since its inception in the early 2000s.
- However, there is still a long way to go to fully realize the potential of service science and its role in areas like upskilling with AI.
- Looking ahead, some of the biggest challenges will be upskilling entire nations with AI for digital transformation, while also decarbonizing nations through sustainable energy infrastructure - both accomplished through service-based business models.
How to Manage Reception Report in Odoo 17Celine George
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
A Free 200-Page eBook ~ Brain and Mind Exercise.pptxOH TEIK BIN
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin 🙏🤓🤔🥰
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
34. 34
Smarter Planet = Smarter “Service” Systems
INSTRUMENTED
We now have the ability to
measure, sense and see
the exact condition of
practically everything.
INTERCONNECTED
People, systems and objects
can communicate and
interact with each other in
entirely new ways.
INTELLIGENT
We can respond to changes
quickly and accurately,
and get better results
by predicting and optimizing
for future events.
WORKFORCE
PRODUCTS
SUPPLY CHAIN
COMMUNICATIONS
TRANSPORTATION BUILDINGS
IT NETWORKS
39. Welcome to the new age of
platform technologies and
smarter service systems
for every sector of
business and society
nested, networks systems
40. National Science Foundation
A feature of a service system is the
participation and cooperation of the customer
in the service and its delivery. A service system
then requires an integration of knowledge and
technologies from a range of disciplines, often
including engineering, computer science, social
science, behavioral science, and cognitive
science, paired with market knowledge to
increase its social benefit.
Nano-Bio-Info-Cogno
46. Brief History
of AI
1956 – Dartmouth Conference
1956 – 1981 Micro-Worlds
1981 – Japanese 5th Generation
1988 – Expert Systems Peak
1990 – AI Winter
1997 – Deep Blue
1997 – 2011 Real-World
2011 – Jeopardy! & SIRI
2013 – Cognitive Systems Institute
2014 – Watson Business Unit
2015 – “Cognition as a Service”
7/16/2015 (c) IBM 2014 46
60. 60
Moore’s-Like Law for
Smart Service Systems
Computational System
Smarter Technology
Requires investment roadmap
Service Systems: Stakeholders & Resources
1. People
2. Technology
3. Shared Information
4. Organizations
connected by win-win value propositions
Smarter Buildings, Universities, Cities
Requires investment roadmap
68. Thinking About Value
• Service as value co-creation
– The application of knowledge for
mutual benefits (outcomes) when
entities interact
• Service innovations scale benefits
– Role of platforms (tech, biz, social)
• Service experience
– Expectations, Interactions, Outcomes
69. Basics
• Service science is the study of service systems and value-cocreation interactions
and outcomes, through the lens of a service-dominant logic (SDL) worldview
– All economic interactions are direct or indirect service interactions
– Goods are vehicles for indirect service interactions
• SDL (Vargo & Lusch) defines service as…
– the application of competence (e.g., knowledge) for the benefit of another entity
– slightly more specific, easier to understand
• Service science (Spohrer & Maglio) defines service as…
– value-cocreation interactions among service system entities
– slightly more general, harder to understand
70. Service Systems Thinking: ABC’s
A. Service Provider
• Individual
• Institution
• Public or Private
C. Service Target: The reality to be
transformed or operated on by A,
for the sake of B
• Individuals or people, dimensions of
• Institutions or business and societal organizations,
organizational (role configuration) dimensions of
• Infrastructure/Product/Technology/Environment,
physical dimensions of
• Information or Knowledge, symbolic dimensions
B. Service Customer
• Individual
• Institution
• Public or Private
Forms of
Ownership Relationship
(B on C)
Forms of
Service Relationship
(A & B co-create value)
Forms of
Responsibility Relationship
(A on C)
Forms of
Service Interventions
(A on C, B on C)
Spohrer, J., Maglio, P. P., Bailey, J. & Gruhl, D. (2007). Steps
toward a science of service systems. Computer, 40, 71-77.
From… Gadrey (2002), Pine & Gilmore (1998), Hill (1977)
Vargo, S. L. & Lusch, R. F. (2004). Evolving to a new
dominant logic for marketing. Journal of Marketing, 68, 1 – 17.
“Service is the application of
competence for the benefit
of another entity.”
Example Provider: College (A)
Example Target: Student (C)
Discuss: Who is the Customer (B)?
- Student? They benefit…
- Parents? They often pay…
- Future Employers? They benefit…
- Professional Associations?
- Government, Society?
A B
C
71. Service Science: Conceptual Framework
• Resources: Individuals, Institutions, Infrastructure, Information
• Stakeholders: Customers, Providers, Authorities, Competitors
• Measures: Quality, Productivity, Compliance, Sustainable Innovation
• Access Rights: Own, Lease, Shared, Privileged
Ecology
(Populations & Diversity)
Entities
(Service Systems, both
Individuals & Institutions)
Interactions
(Service Networks,
link, nest, merge, divide)
Outcomes
(Value Changes, both
beneficial and non-beneficial)
Value Proposition
(Offers & Reconfigurations/
Incentives, Penalties & Risks)
Governance Mechanism
(Rules & Constraints/
Incentives, Penalties & Risks)
Access Rights
(Relationships of Entities)
Measures
(Rankings of Entities)
Resources
(Competences, Roles in Processes,
Specialized, Integrated/Holistic)
Stakeholders
(Processes of Valuing,
Perspectives, Engagement)
Identity
(Aspirations & Lifecycle/
History)
Reputation
(Opportunities & Variety/
History)
prefer sustainable
non-zero-sum
outcomes,
i.e., win-win
win-win
lose-lose win-lose
lose-win
Spohrer, JC (2011) On looking into Vargo and Lusch's concept of generic actors in markets, or
“It's all B2B …and beyond!” Industrial Marketing Management, 40(2), 199–201.
72. 72
Service system entities configure four types of resources
• First foundational premise of service
science:
– Service system entities dynamically
configure
four types of resources
– Resources are the building
blocks of entity architectures
• Named resources are:
– Physical or
– Not-Physical
– Physicist resolve disputes
• Named resources have:
– Rights or
– No Rights
– Judges resolve disputes
Spohrer, J & Maglio, P. P. (2009)
Service Science: Toward a Smarter Planet.
In Introduction to Service Engineering.
Editors Karwowski & Salvendy. Wiley. Hoboken, NJ..
Physical
Not-Physical
Rights No-Rights
2. Technology/
Environment
Infrastructure
4. Shared
Information/
Symbolic
Knowledge
1. People/
Individuals
3. Organizations/
Institutions
Formal service systems can contract to configure resources/apply competence
Informal service systems can promise to configure resources/apply competence
Trends & Countertrends (Balance Chaos & Order):
(Promise) Informal <> Formal (Contract)
(Relationships & Attention) Social <> Economic (Money & Capacity)
(Power) Political <> Legal (Rules)
(Evolved) Natural <> Artificial (Designed)
(Creativity) Cognitive Labor <> Information Technology (Routine)
(Dance) Physical Labor <> Mechanical Technology (Routine)
(Relationships) Social Labor <> Transaction Processing (Routine)
(Atoms) Transportation <> Communication (Bits)
(Tacit) Qualitative <> Quantitative (Explicit)
(Secret) Private <> Public (Shared)
(Anxiety-Risk) Challenge <> Routine (Boredom-Certainty)
(Mystery) Unknown <> Known (Justified True Belief)
73. 73
Service system entities calculate value from multiple stakeholder perspectives
• Second foundational premise of service
science
– Service system entities calculate value
from multiple stakeholder perspectives
– Value propositions are the building
blocks of service networks
• A value propositions can be viewed as a
request from one service system to
another to run an algorithm (the value
proposition) from the perspectives of
multiple stakeholders according to
culturally determined value principles.
• The four primary stakeholder
perspectives are: customer, provider,
authority, and competitor
– Citizens: special customers
– Entrepreneurs: special providers
– Parents: special authority
– Criminals: special competitors
Spohrer, J & Maglio, P. P. (2009) Service Science: Toward a Smarter Planet. In
Introduction to Service Engineering. Editors Karwowski & Salvendy. Wiley. Hoboken, NJ..
Model of competitor: Does
it put us ahead? Can we
stay ahead? Does it
differentiate us from the
competition?
Will we?
(invest to
make it so)
StrategicSustainable
Innovation
(Market
share)
4.Competitor
(Substitute)
Model of authority: Is it
legal? Does it compromise
our integrity in any way?
Does it create a moral
hazard?
May we?
(offer and
deliver it)
RegulatedCompliance
(Taxes and
Fines, Quality
of Life)
3.Authority
Model of self: Does it play
to our strengths? Can we
deliver it profitably to
customers? Can we
continue to improve?
Can we?
(deliver it)
Cost
Plus
Productivity
(Profit,
Mission,
Continuous
Improvement,
Sustainability)
2.Provider
Model of customer: Do
customers want it? Is there
a market? How large?
Growth rate?
Should we?
(offer it)
Value
Based
Quality
(Revenue)
1.Customer
Value
Proposition
Reasoning
Basic
Questions
Pricing
Decision
Measure
Impacted
Stakeholder
Perspective
(the players)
Value propositions coordinate & motivate resource access
74. 74
Service system entities reconfigure access rights to resources by mutually agreed to value
propositions
• Third foundational premise of service
science
– Service system entities reconfigure access
rights to resources by mutually agreed to
value propositions
– Access rights are the building blocks of the
service ecology (culture and information)
• Access rights
– Access to resources that are owned
outright (i.e., property)
– Access to resource that are
leased/contracted for (i.e., rental car,
home ownership via mortgage,
insurance policies, etc.)
– Shared access (i.e., roads, web
information, air, etc.)
– Privileged access (i.e., personal
thoughts, inalienable kinship
relationships, etc.)
service = value-cocreation
B2B
B2C
B2G
G2C
G2B
G2G
C2C
C2B
C2G
***
provider resources
Owned Outright
Leased/Contract
Shared Access
Privileged Access
customer resources
Owned Outright
Leased/Contract
Shared Access
Privileged Access
OO
SA
PA
LC
OO
LC
SA
PA
S AP C
Competitor Provider Customer Authority
value-proposition
change-experience
dynamic-configurations
(substitute)
time
Spohrer, J & Maglio, P. P. (2009)
Service Science: Toward a Smarter Planet.
In Introduction to Service Engineering.
Editors Karwowski & Salvendy. Wiley. Hoboken, NJ..
75. 75
Service system entities interact to create ten types of outcomes
• Four possible outcomes from a
two player game
• ISPAR generalizes to ten possible
outcomes
– win-win: 1,2,3
– lose-lose: 5,6, 7, maybe 4,8,10
– lose-win: 9, maybe 8, 10
– win-lose: maybe 4
lose-win
(coercion)
win-win
(value-cocreation)
lose-lose
(co-destruction)
win-lose
(loss-lead)
WinLose
Provider
Lose Win
Customer
ISPAR descriptive model
Maglio PP, SL Vargo, N Caswell, J Spohrer: (2009) The service system is the basic abstraction of service science. Inf. Syst. E-Business Management 7(4): 395-406 (2009)
76. 76
Service system entities learn to systematically exploit technology:
Technology can perform routine manual, cognitive, transactional work
L
Learning Systems
(“Choice & Change”)
Exploitation
(James March)
Exploration
(James March)
Run/Practice-Reduce
(IBM)
Transform/Follow
(IBM)
Innovate/Lead
(IBM)
Operations Costs
Maintenance Costs
Incidence Planning &
Response Costs (Insure)
Incremental
Radical
Super-Radical
Internal
External
Interactions
“To be
the best,
learn from
the rest”
“Double
monetize,
internal win
and ‘sell’ to
external”
“Try to
operate
inside
the
comfort
zone”
March, J.G. (1991) Exploration and exploitation in organizational learning. Organizational Science. 2(1).71-87.
Sanford, L.S. (2006) Let go to grow: Escaping the commodity trap. Prentice Hall. New York, NY.
77. 77
Service system entities are physical-
symbol systems
• Service is value cocreation.
• Service system entities
reason about value.
• Value cocreation is a kind of
joint activity.
• Joint activity depends on
communication and
grounding.
• Reasoning about value and
communication are (often)
effective symbolic
processes.
Newell, A (1980) Physical symbol systems, Cognitive Science, 4, 135-183.
Newell, A & HA Simon(1976). Computer science as empirical inquiry: symbols and search. Communications of the ACM, 19, 113-126.
78. 78
Summary
Spohrer, J & Maglio, P. P. (2009) Service Science: Toward a Smarter Planet. In Introduction to Service Engineering. Editors Karwowski & Salvendy. Wiley. Hoboken, NJ..
Physical
Not-Physical
Rights No-Rights
2. Technology/
Infrastructure
4.. Shared
Information
1. People/
Individuals
3. Organizations/
Institutions
1. Dynamically configure resources (4 I’s)
Model of competitor:
Does it put us ahead?
Will we?StrategicSustainable
Innovation
4.Competitor/
Substitutes
Model of authority: Is
it legal?
May we?RegulatedCompliance3.Authority
Model of self: Does it
play to our strengths?
Can we?Cost
Plus
Productivity2.Provider
Model of customer:
Do customers want
it?
Should we?Value
Based
Quality1.Customer
ReasoningQuestionsPricingMeasure
Impacted
Stakeholder
Perspective
2. Value from stakeholder perspectives
S AP C
3. Reconfigure access rights
4. Ten types of outcomes (ISPAR)
5. Exploit information & technology
6. Physical-Symbol Systems
79. 79
Learning More
About Service Systems…
• Fitzsimmons & Fitzsimmons
– Graduate Students
– Schools of Engineering & Businesses
• Teboul
– Undergraduates
– Schools of Business & Social Sciences
– Busy execs (4 hour read)
• Ricketts
– Practitioners
– Manufacturers In Transition
• And 200 other books…
– Zeithaml, Bitner, Gremler; Gronross, Chase, Jacobs, Aquilano;
Davis, Heineke; Heskett, Sasser, Schlesingher; Sampson;
Lovelock, Wirtz, Chew; Alter; Baldwin, Clark; Beinhocker;
Berry; Bryson, Daniels, Warf; Checkland, Holwell;
Cooper,Edgett; Hopp, Spearman; Womack, Jones; Johnston;
Heizer, Render; Milgrom, Roberts; Norman; Pine, Gilmore;
Sterman; Weinberg; Woods, Degramo; Wooldridge; Wright;
etc.
• URL: http://www.cob.sjsu.edu/ssme/refmenu.asp
• More Textbooks:
http://service-science.info/archives/1931
Reaching the Goal:
How Managers Improve
a Services Business
Using Goldratt’s
Theory of Constraints
By John Ricketts, IBM
Service Management:
Operations, Strategy,
and Information
Technology
By Fitzsimmons and
Fitzsimmons, UTexas
Service Is Front Stage:
Positioning services for
value advantage
By James Teboul, INSEAD
80. 80
Service Innovators
• ISSIP = International
Society of
Service Innovation
Professionals
• T-shaped Professionals
– Depth
– Breadth
• Register at:
– ISSIP.org
82. Who is responsible for what type of
innovation in a large enterprise?
• Role 1: A. CIO (processes, operations) cares about improving internal offerings (KPI focus, internal),
as well as creating some new internal offerings … CIO often works with HR on creating new
offerings (B.)
• Role 2: B. Research VP and Marketing VP cares about creating new external types/new categories of
offerings to existing/new customers (many design and service innovation frameworks focus solely
on this aspect of innovation)
• Role 3: A.-E. GBS VP (consulting) cares about the portfolio of offerings, as well as helping customers
with their portfolios:
– C. with Finance VP cares about portfolio balance of service offerings (Rickett’s “Reaching The Goal” book)
– A. improving individual offerings to customers (KPI focus, external – See Anderson and Naur “Value
Merchants), as well as working with Research on B.
– D. and E. Helping customers in different industries with all of the above, requires industry maps with KPIs –
key performance indicators, and industry maturity models), often either technology or talent is the driver
• Role 4: A.-E. GTS VP (data centers) cares about – all of the above, but more from a technology-
driven view of service delivery… as the cost of technology changes, so do the offerings, portfolio,
and opportunities
• Role 5: F. Strategy VP and Marketing VP cares about ecosystems, including divestitures, mergers &
acquisitions, developers, customer co-creators, etc. versus competitors
• Acronyms: CIO = Chief Information Officer; HR = Human Resources; GBS = Global Business Services;
GTS = Global Technology Services
• Point: Many executives are responsible for a piece of the service innovation puzzle
92. • “To our children and children’s
children,
to whom we elders owe an
explanation of the world
that is understandable,
realistic, forward-looking, and
whole.”
7/16/2015 (c) 2014 IBM UP (University Programs) 92
93. IBM Almaden Service Research (ASR):
Entities, Interactions, Outcomes
Entities
(People Inside
Experiences)
Interactions
(Offerings, and KPIs)
Outcomes
(Configurations)
Improve Self
(IBM)
A. Improve existing offering (internal/external) C. (Re)shape Portfolio
B. Create new offering (internal/external)
Help Others
(Customers,
Partners, etc.)
D. Improve existing offering (internal/external) F. (Re)shape
EcosystemE. Create new offering (internal/external)
For all people, their experiences matter, in service innovation,
such as employees, customers, partners, and peripheral stakeholders.
For all the above, IBM Research must also consider:
(1) Patents/Intellectual Property and Applications
(2) Publications/Create New Knowledge
102. ISSIP.org
Professional Development for Service Innovators
• 2015 Conferences
– HICSS, Honolulu, HI, Jan 5-8
– T Summit, E Lansing, MI, Mar 16-17
– ICSERV,San Jose, CA July 6-8
– Frontiers, San Jose, CA July 9-12
– AHFE HSSE,Las Vegas, NV July 23-27
7/16/2015 (c) 2014 IBM UP (University Programs) 102
103. Professionals Associations & T-Shapes
• ISSIP
• INFORMS
• IEEE
• ACM
• AMA (Marketing)
• AIS
• POMS
• TSIA
For more complete list of 24 see: http://service-science.info/archives/1982
http://tsummit2014.org
104. Journals
For more see: http://service-science.info/archives/2634
Paul Maglio, Editor Mary Jo Bitner, Editor
105. Readings & Textbooks
See http://service-science.info/archives/2708 http://service-science.info/archives/1931
106. Recent Report, Funding, etc.
http://california-center-for-service-science.org/nsf-workshop/
http://www.nsf.gov/pubs/2014/nsf14610/nsf14610.htm
https://www.linkedin.com/groups/NSF-Industry-Academe-Enabling-Smart-5109582
http://web.mit.edu/mitssrc/nsf/index.html