The document summarizes Jim Spohrer's presentation on creating good community outcomes. Some key points:
- Most communities and their members aspire to continuously improve and transform into better future versions of themselves through mutual learning and support.
- Mastering new technologies is a common goal that community members help each other achieve through sharing knowledge from basic to advanced levels.
- The future of communities and artificial intelligence will likely involve greater collaboration between people and digital technologies to accelerate transformations.
The document provides an overview of future artificial intelligence (AI) and intelligence augmentation (IA) from a service science perspective. It discusses how the COVID-19 pandemic is accelerating digital transformation and the shift to more online activities. Service science predicts that in this transformation, competing for collaborators through win-win interactions will shape how value is co-created between different entities. The document then provides a decade-by-decade view from 2020 to 2080 on how technologies like IT, AI and IA may impact society and interact with service science concepts. It compares the perspectives of AI which focuses on automation, and service science which focuses on transformation of people and responsible entities.
20211129 jim spohrer wsif digital_entrepreneurship v8ISSIP
This document discusses digital entrepreneurship and the World Social Innovation Forum (WSIF) panel on the topic. It provides background on Jim Spohrer, the panelist invited to speak. Spohrer recommends the book "Humankind" by Rutger Bregman. The document then poses the question "What does it mean to become a digital entrepreneur?" and provides some potential responses and resources on digital entrepreneurship, AI, and developing a digital workforce. It shares quotes on the relationship between AI and entrepreneurship. The rest of the document provides biographical information on Spohrer and what he studies regarding service science and open source AI.
Some key points:
- Jim Spohrer directs IBM's open-source AI developer ecosystem efforts and has a background in physics, computer science, and service science.
- Service science views the future as one where entities like businesses and societies will compete for collaborators to co-create value and elevate capabilities together over time.
- The future of AI will bring greater acceleration of digital transformation through technologies like IA, which involves collaboration between people, machines, and the organizations that produce the machines.
- Service science and AI take different approaches
Jim Spohrer is the director of IBM's open-source Artificial Intelligence developer ecosystem effort. He has a background in physics, speech recognition, and service science. The document discusses the future of AI, including timelines for solving AI, who the leaders are, the potential benefits and risks of AI, and how other technologies may have a bigger impact. It emphasizes that AI should augment human intelligence and capabilities rather than replace humans.
20210325 jim spohrer sir rel future_ai v10 copyISSIP
Jim Spohrer directs IBM's open-source AI developer ecosystem. The document provides biographical information about Spohrer, including his educational background in physics, computer science, and AI. It then outlines Spohrer's career path at Apple, IBM, and as founder of IBM's Service Research group. The final sections advertise Spohrer's upcoming presentation on service innovation roadmaps and responsible learning entities. The presentation will discuss how various entity types can create roadmaps to optimize existing knowledge, adopt new practices, and create new practices through different levels of investment in learning and upskilling activities.
The document summarizes perspectives on the online platform economy and gig workers in the US. It discusses both the opportunities and challenges, noting growing flexibility but also lack of benefits. While reskilling efforts exist, they remain limited and siloed. Moving forward will require upskilling workers with T-shaped skills across technologies, work practices, and mindsets. Platforms and policies should aim to balance winner-take-all approaches with improving opportunities for all.
The document discusses the future of artificial intelligence (AI) and post-pandemic society from a service science perspective. It notes that the 2020 pandemic accelerated digital transformation, including online work, learning, and socializing. Service science predicts that as businesses and society transform, competing for collaborators will increasingly shape value co-creation between entities. The document provides a decade-by-decade view of information technologies, AI, society, and service science from 2020 to 2080.
The document provides an overview of future artificial intelligence (AI) and intelligence augmentation (IA) from a service science perspective. It discusses how the COVID-19 pandemic is accelerating digital transformation and the shift to more online activities. Service science predicts that in this transformation, competing for collaborators through win-win interactions will shape how value is co-created between different entities. The document then provides a decade-by-decade view from 2020 to 2080 on how technologies like IT, AI and IA may impact society and interact with service science concepts. It compares the perspectives of AI which focuses on automation, and service science which focuses on transformation of people and responsible entities.
20211129 jim spohrer wsif digital_entrepreneurship v8ISSIP
This document discusses digital entrepreneurship and the World Social Innovation Forum (WSIF) panel on the topic. It provides background on Jim Spohrer, the panelist invited to speak. Spohrer recommends the book "Humankind" by Rutger Bregman. The document then poses the question "What does it mean to become a digital entrepreneur?" and provides some potential responses and resources on digital entrepreneurship, AI, and developing a digital workforce. It shares quotes on the relationship between AI and entrepreneurship. The rest of the document provides biographical information on Spohrer and what he studies regarding service science and open source AI.
Some key points:
- Jim Spohrer directs IBM's open-source AI developer ecosystem efforts and has a background in physics, computer science, and service science.
- Service science views the future as one where entities like businesses and societies will compete for collaborators to co-create value and elevate capabilities together over time.
- The future of AI will bring greater acceleration of digital transformation through technologies like IA, which involves collaboration between people, machines, and the organizations that produce the machines.
- Service science and AI take different approaches
Jim Spohrer is the director of IBM's open-source Artificial Intelligence developer ecosystem effort. He has a background in physics, speech recognition, and service science. The document discusses the future of AI, including timelines for solving AI, who the leaders are, the potential benefits and risks of AI, and how other technologies may have a bigger impact. It emphasizes that AI should augment human intelligence and capabilities rather than replace humans.
20210325 jim spohrer sir rel future_ai v10 copyISSIP
Jim Spohrer directs IBM's open-source AI developer ecosystem. The document provides biographical information about Spohrer, including his educational background in physics, computer science, and AI. It then outlines Spohrer's career path at Apple, IBM, and as founder of IBM's Service Research group. The final sections advertise Spohrer's upcoming presentation on service innovation roadmaps and responsible learning entities. The presentation will discuss how various entity types can create roadmaps to optimize existing knowledge, adopt new practices, and create new practices through different levels of investment in learning and upskilling activities.
The document summarizes perspectives on the online platform economy and gig workers in the US. It discusses both the opportunities and challenges, noting growing flexibility but also lack of benefits. While reskilling efforts exist, they remain limited and siloed. Moving forward will require upskilling workers with T-shaped skills across technologies, work practices, and mindsets. Platforms and policies should aim to balance winner-take-all approaches with improving opportunities for all.
The document discusses the future of artificial intelligence (AI) and post-pandemic society from a service science perspective. It notes that the 2020 pandemic accelerated digital transformation, including online work, learning, and socializing. Service science predicts that as businesses and society transform, competing for collaborators will increasingly shape value co-creation between entities. The document provides a decade-by-decade view of information technologies, AI, society, and service science from 2020 to 2080.
Jim Spohrer was invited to be a panelist for John Hagel's presentation at the Fall 2021 Berkeley Innovation Forum. Spohrer recommends the book "Humankind: A Hopeful History" by Rutger Bregman. He notes his experience at IBM of facing fears of product to service and proprietary to open source transformations, which led IBM to acquire Red Hat for $34B and spin off Kyndryl. Spohrer serves on the board of ISSIP.org and is a retired IBM executive focusing his studies on service science and open source AI, where trust is key.
20201213 jim spohrer icis augmented intelligence v6ISSIP
Jim Spohrer is the director of IBM's Cognitive OpenTech group. He has a background in physics, computer science, and artificial intelligence. Spohrer discusses the concept of Intelligence Augmentation (IA), which aims to enhance human capabilities through socio-technical systems rather than just develop autonomous AI systems. IA is defined as not just developing technology capabilities but also focusing on more responsible and capable people. Spohrer outlines how IA can progress from being a tool, to an assistant, collaborator, coach and mediator. He also discusses the importance of trust between the AI/service science and open source communities.
The document discusses the future of artificial intelligence (AI) and business value from a service science perspective. It begins by noting that the COVID-19 pandemic is accelerating digital transformation. It then provides a service science perspective, viewing transformation as collaborating with people and responsible entities. An AI perspective is presented as focusing on automation by collaborating with machines. An intelligence augmentation perspective is discussed as involving collaboration with both people and machines. The document outlines how service science views the future as smarter and wiser service systems transforming to better versions of themselves by competing for collaborators through win-win games.
2021006 jim spohrer mc gill_precision_convergence_panel v3ISSIP
Jim Spohrer served as a panelist for a webinar on global value chain resilience hosted by Gary Gereffi. Spohrer is on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in speech recognition, service science research, and open source AI. Spohrer posed questions on how trust and resilience are related in global value chains and how artificial intelligence and digital services may impact resilience.
The document discusses the future of AI and society from a service science perspective. It argues that the COVID-19 pandemic is accelerating digital transformation and the shift to online platforms. Service science predicts that in this new environment, entities will increasingly compete for collaborators through value co-creation interactions to jointly elevate their capabilities. The document outlines how service science and AI view the future differently, with service science focusing on transforming systems of people and AI focusing on automation. It provides a framework for understanding smarter and wiser service systems over time.
Jim Spohrer directs IBM's open-source AI efforts and gives a presentation on the future of AI, discussing timelines for solving different AI challenges, leaders in the field, and implications for stakeholders in preparing for both the benefits and risks of advanced AI. The document also includes slides on AI progress benchmarks, computing costs over time, economic growth projections with AI, and other emerging technologies that could have a larger impact than AI.
20211103 jim spohrer oecd ai_science_productivity_panel v5ISSIP
Jim Spohrer serves on the board of directors for ISSIP.org and as a contributor to the Linux Foundation AI and Data Foundation. He previously directed IBM's open-source AI developer ecosystem effort and other roles. Spohrer discusses service science and open source AI, noting that trust is key to both. He provides background on his career and research interests in service science and comparisons between AI and service science approaches. Spohrer outlines a conceptual framework for service science and discusses the future of smarter and wiser service systems where entities transform to better versions through win-win games and collaborating.
Jim Spohrer provides considerations for AI projects. He recommends performing an audit of existing AI projects and evolving evaluation criteria to include performance and trust. Spohrer also emphasizes the importance of celebrating victories, rewarding talent development through diversity and upskilling, and monitoring technology developments. He warns against underestimating ongoing costs and overestimating short-term impacts. Spohrer outlines timelines for AI progress based on compute costs and provides frameworks for benchmarking and evaluating AI capabilities.
Jim Spohrer discusses service innovation roadmaps and responsible entities learning in an AI era. He notes that service science focuses on transforming responsible entities like people, businesses, and nations to apply knowledge for mutual benefit, while AI focuses on automating tasks. Spohrer advocates for service innovation roadmaps to help responsible entities learn and become better versions of themselves through running existing practices, transforming by adopting new best practices, and innovating to create new best practices.
20211107 jim spohrer otago entrepreneurship v6ISSIP
Jim Spohrer gave a presentation on the future of AI to an entrepreneurship class at Otago University. Some key points from the presentation include:
- Compute costs for AI are decreasing exponentially every 20 years, which will lower the costs of digital workers and AI systems.
- Lower compute costs can translate to increased productivity and GDP per employee for nations.
- AI progress can be measured using open benchmarks and leaderboards that track progress in tasks like computer vision, natural language processing and robotics.
- The future of many industries and jobs may be transformed by AI, with jobs that utilize AI likely to replace those that do not.
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.
Jim Spohrer gave a presentation at Purdue University on service innovation in the AI era. Some key points from the presentation include:
- Service science is an emerging field that studies how responsible entities can transform through win-win interactions to improve quality of life, while AI aims to automate tasks performed by people.
- As computing costs decrease exponentially every 20 years due to Moore's law, AI capabilities will become much more accessible, with narrow tasks being solved by 2040 and broad human-level abilities by 2060.
- This will greatly increase productivity and GDP per employee over time if the benefits of AI are shared widely. However, there are also risks like job loss that need to be addressed.
The document discusses how technology is increasingly performing work tasks through digital workers, freeing up opportunities for people. It suggests educational technology could help people realize those opportunities. The document outlines how costs of computing are decreasing exponentially, and how AI and machine learning have advanced through deep learning techniques applied to large datasets. It envisions a future where cognitive systems/mediators could take online courses and coach students, with tools enabling much faster development of such systems. Overall, the document presents an optimistic view of how educational technology and cognitive systems could help improve learning and opportunities.
2021004 jim spohrer alan hartman_retirement v3ISSIP
(1) The document discusses the future of artificial intelligence and service science in a post-pandemic society from a service science perspective. (2) It compares AI, which aims to automate human intelligence, to service science, which studies how systems like businesses and societies can transform and improve lives through cooperation. (3) The document outlines how service science views systems as evolving over time through running existing practices, transforming by adopting new practices, and innovating to create new practices.
This document summarizes a presentation on the future of artificial intelligence given by Jim Spohrer. Some key points:
- AI and digital technologies are accelerating the transformation of society, including how people work, learn, and interact.
- Service science predicts that as business and society transform, responsible entities will increasingly compete for collaborators through win-win interactions that improve capabilities.
- The future of AI involves "Responsible Entities Learning" - both people and machines learning and collaborating.
- Measuring socio-technical capabilities and determining what tasks can be safely delegated to machines will be important questions going forward.
HICSS-55 Meeting - Minitrack: Recording for full session will be uploaded to ISSIP.or YouTube channel
Case studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms[4]Co-Chairs: Maarit Palo (IBM, Finland), Pekka Neittaanmaki (UJyvaskyla, Finland), Jim Spohrer (IBM Retired, ISSIP.org, USA)
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.
This document provides information about two panels at the HICSS-55 conference on the future of work and augmented intelligence. The panels will take place on January 3, 2022 and discuss social, organizational, and technical perspectives on how augmented intelligence can augment human capabilities. The document lists the panelists and their affiliations for both panels. It also provides context about the conference and links to additional resources.
This document summarizes Jim Spohrer's presentation on robust university-industry collaborations. It discusses several easy and more complex approaches for collaborations, including PhD fellowships, faculty research awards, internships, co-funded research centers, and open innovation networks. Spohrer serves on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in service science and directing various university and open source programs.
2021020 jim spohrer ai for_good_conference future_of_ai v4ISSIP
Jim Spohrer serves on the Board of Directors of ISSIP and previously worked at IBM, where he directed various AI and service science initiatives. He discusses the future of AI, predicting that compute costs will decrease by a factor of 1000 every 20 years, enabling digital workers to become more capable and affordable. He presents a timeline and framework for benchmarking AI progress on open leaderboards to achieve human-level performance in various tasks over time. The best way to predict the future, he says, is to inspire students to build a better future.
This document discusses the role of companies in open source software development. It notes that while open source software was traditionally developed by volunteers, companies are now playing a more active role through acquiring open source companies, bringing development in-house, and spinning off proprietary versions. However, this could endanger the future viability and security of open source software. To help maintain open source software, the summary recommends that companies should have a clear open source policy that encourages employee contributions, raise awareness of the open source software they use and its vulnerabilities, and incentivize contributions that focus on security, maintenance as well as features useful to the company.
Jim Spohrer was invited to be a panelist for John Hagel's presentation at the Fall 2021 Berkeley Innovation Forum. Spohrer recommends the book "Humankind: A Hopeful History" by Rutger Bregman. He notes his experience at IBM of facing fears of product to service and proprietary to open source transformations, which led IBM to acquire Red Hat for $34B and spin off Kyndryl. Spohrer serves on the board of ISSIP.org and is a retired IBM executive focusing his studies on service science and open source AI, where trust is key.
20201213 jim spohrer icis augmented intelligence v6ISSIP
Jim Spohrer is the director of IBM's Cognitive OpenTech group. He has a background in physics, computer science, and artificial intelligence. Spohrer discusses the concept of Intelligence Augmentation (IA), which aims to enhance human capabilities through socio-technical systems rather than just develop autonomous AI systems. IA is defined as not just developing technology capabilities but also focusing on more responsible and capable people. Spohrer outlines how IA can progress from being a tool, to an assistant, collaborator, coach and mediator. He also discusses the importance of trust between the AI/service science and open source communities.
The document discusses the future of artificial intelligence (AI) and business value from a service science perspective. It begins by noting that the COVID-19 pandemic is accelerating digital transformation. It then provides a service science perspective, viewing transformation as collaborating with people and responsible entities. An AI perspective is presented as focusing on automation by collaborating with machines. An intelligence augmentation perspective is discussed as involving collaboration with both people and machines. The document outlines how service science views the future as smarter and wiser service systems transforming to better versions of themselves by competing for collaborators through win-win games.
2021006 jim spohrer mc gill_precision_convergence_panel v3ISSIP
Jim Spohrer served as a panelist for a webinar on global value chain resilience hosted by Gary Gereffi. Spohrer is on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in speech recognition, service science research, and open source AI. Spohrer posed questions on how trust and resilience are related in global value chains and how artificial intelligence and digital services may impact resilience.
The document discusses the future of AI and society from a service science perspective. It argues that the COVID-19 pandemic is accelerating digital transformation and the shift to online platforms. Service science predicts that in this new environment, entities will increasingly compete for collaborators through value co-creation interactions to jointly elevate their capabilities. The document outlines how service science and AI view the future differently, with service science focusing on transforming systems of people and AI focusing on automation. It provides a framework for understanding smarter and wiser service systems over time.
Jim Spohrer directs IBM's open-source AI efforts and gives a presentation on the future of AI, discussing timelines for solving different AI challenges, leaders in the field, and implications for stakeholders in preparing for both the benefits and risks of advanced AI. The document also includes slides on AI progress benchmarks, computing costs over time, economic growth projections with AI, and other emerging technologies that could have a larger impact than AI.
20211103 jim spohrer oecd ai_science_productivity_panel v5ISSIP
Jim Spohrer serves on the board of directors for ISSIP.org and as a contributor to the Linux Foundation AI and Data Foundation. He previously directed IBM's open-source AI developer ecosystem effort and other roles. Spohrer discusses service science and open source AI, noting that trust is key to both. He provides background on his career and research interests in service science and comparisons between AI and service science approaches. Spohrer outlines a conceptual framework for service science and discusses the future of smarter and wiser service systems where entities transform to better versions through win-win games and collaborating.
Jim Spohrer provides considerations for AI projects. He recommends performing an audit of existing AI projects and evolving evaluation criteria to include performance and trust. Spohrer also emphasizes the importance of celebrating victories, rewarding talent development through diversity and upskilling, and monitoring technology developments. He warns against underestimating ongoing costs and overestimating short-term impacts. Spohrer outlines timelines for AI progress based on compute costs and provides frameworks for benchmarking and evaluating AI capabilities.
Jim Spohrer discusses service innovation roadmaps and responsible entities learning in an AI era. He notes that service science focuses on transforming responsible entities like people, businesses, and nations to apply knowledge for mutual benefit, while AI focuses on automating tasks. Spohrer advocates for service innovation roadmaps to help responsible entities learn and become better versions of themselves through running existing practices, transforming by adopting new best practices, and innovating to create new best practices.
20211107 jim spohrer otago entrepreneurship v6ISSIP
Jim Spohrer gave a presentation on the future of AI to an entrepreneurship class at Otago University. Some key points from the presentation include:
- Compute costs for AI are decreasing exponentially every 20 years, which will lower the costs of digital workers and AI systems.
- Lower compute costs can translate to increased productivity and GDP per employee for nations.
- AI progress can be measured using open benchmarks and leaderboards that track progress in tasks like computer vision, natural language processing and robotics.
- The future of many industries and jobs may be transformed by AI, with jobs that utilize AI likely to replace those that do not.
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.
Jim Spohrer gave a presentation at Purdue University on service innovation in the AI era. Some key points from the presentation include:
- Service science is an emerging field that studies how responsible entities can transform through win-win interactions to improve quality of life, while AI aims to automate tasks performed by people.
- As computing costs decrease exponentially every 20 years due to Moore's law, AI capabilities will become much more accessible, with narrow tasks being solved by 2040 and broad human-level abilities by 2060.
- This will greatly increase productivity and GDP per employee over time if the benefits of AI are shared widely. However, there are also risks like job loss that need to be addressed.
The document discusses how technology is increasingly performing work tasks through digital workers, freeing up opportunities for people. It suggests educational technology could help people realize those opportunities. The document outlines how costs of computing are decreasing exponentially, and how AI and machine learning have advanced through deep learning techniques applied to large datasets. It envisions a future where cognitive systems/mediators could take online courses and coach students, with tools enabling much faster development of such systems. Overall, the document presents an optimistic view of how educational technology and cognitive systems could help improve learning and opportunities.
2021004 jim spohrer alan hartman_retirement v3ISSIP
(1) The document discusses the future of artificial intelligence and service science in a post-pandemic society from a service science perspective. (2) It compares AI, which aims to automate human intelligence, to service science, which studies how systems like businesses and societies can transform and improve lives through cooperation. (3) The document outlines how service science views systems as evolving over time through running existing practices, transforming by adopting new practices, and innovating to create new practices.
This document summarizes a presentation on the future of artificial intelligence given by Jim Spohrer. Some key points:
- AI and digital technologies are accelerating the transformation of society, including how people work, learn, and interact.
- Service science predicts that as business and society transform, responsible entities will increasingly compete for collaborators through win-win interactions that improve capabilities.
- The future of AI involves "Responsible Entities Learning" - both people and machines learning and collaborating.
- Measuring socio-technical capabilities and determining what tasks can be safely delegated to machines will be important questions going forward.
HICSS-55 Meeting - Minitrack: Recording for full session will be uploaded to ISSIP.or YouTube channel
Case studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms[4]Co-Chairs: Maarit Palo (IBM, Finland), Pekka Neittaanmaki (UJyvaskyla, Finland), Jim Spohrer (IBM Retired, ISSIP.org, USA)
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.
This document provides information about two panels at the HICSS-55 conference on the future of work and augmented intelligence. The panels will take place on January 3, 2022 and discuss social, organizational, and technical perspectives on how augmented intelligence can augment human capabilities. The document lists the panelists and their affiliations for both panels. It also provides context about the conference and links to additional resources.
This document summarizes Jim Spohrer's presentation on robust university-industry collaborations. It discusses several easy and more complex approaches for collaborations, including PhD fellowships, faculty research awards, internships, co-funded research centers, and open innovation networks. Spohrer serves on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in service science and directing various university and open source programs.
2021020 jim spohrer ai for_good_conference future_of_ai v4ISSIP
Jim Spohrer serves on the Board of Directors of ISSIP and previously worked at IBM, where he directed various AI and service science initiatives. He discusses the future of AI, predicting that compute costs will decrease by a factor of 1000 every 20 years, enabling digital workers to become more capable and affordable. He presents a timeline and framework for benchmarking AI progress on open leaderboards to achieve human-level performance in various tasks over time. The best way to predict the future, he says, is to inspire students to build a better future.
This document discusses the role of companies in open source software development. It notes that while open source software was traditionally developed by volunteers, companies are now playing a more active role through acquiring open source companies, bringing development in-house, and spinning off proprietary versions. However, this could endanger the future viability and security of open source software. To help maintain open source software, the summary recommends that companies should have a clear open source policy that encourages employee contributions, raise awareness of the open source software they use and its vulnerabilities, and incentivize contributions that focus on security, maintenance as well as features useful to the company.
Jim Spohrer provided closing remarks at the end of the IESS 2.2 event on February 18, 2022. He thanked the organizers and recommended the book "Humankind: A Hopeful History" by Rutger Bregman. Spohrer then listed questions related to evaluating real-world service systems and improvements, and encouraged applying for the ISSIP Excellence in Service Innovation Award for papers that can concisely answer these questions. Finally, Spohrer asked participants to share their most innovative service experience from 2021 and discussed how service innovations create win-win outcomes.
The document summarizes Jim Spohrer's presentation on service provision and technology in service systems from a service science perspective. Some key points:
- Better models are needed to understand the increasingly complex and interconnected world from various perspectives including physical, social, virtual, organizational, and technological.
- Human-centered design should evolve to humanity-centered design by focusing on entire ecosystems of people, living things, and the environment with a long-term systems view.
- Value co-creation is accelerated when large numbers of skilled people with advanced technology have a safe, ethical, and sustainable environment for interaction and change.
- Upskilling is moving from individual skills to skills extended with AI tools across knowledge areas
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.
Magic Eraser allows users to easily remove unwanted objects and distractions from photos with just a few clicks. Craiyon is an AI image generator that lets users create new images from text prompts. Rytr is a voice assistant that helps schedule meetings, set reminders, and answer questions using natural language conversations. Thing Translator is a machine translation tool that can translate between over 100 languages with state-of-the-art neural models.
Jim Spohrer gave a presentation on preparing for the future with open artificial intelligence from a service science perspective. He thanked the organizers for the invitation and discussed four books related to scientific progress and responsibility to future generations. Spohrer explained that service science draws from various disciplines to study value co-creation phenomena and the evolution of complex service systems. He outlined IBM's involvement in establishing service science and discussed concepts like service-dominant logic. Spohrer concluded by taking questions on topics like the timeline for solving AI and implications for stakeholders.
Jim Spohrer discusses the evolution of AI and its applications, as well as the relationship between disciplines and professions. The goal of service science was originally to create a new discipline and profession, but the revised goal is to develop wisdom for rebuilding the world. Spohrer also discusses how disciplines can be categorized into clusters such as the humanities, social sciences, natural sciences, and formal sciences.
This document provides a summary of Jim Spohrer's presentation on "Service in the AI Era: Science, Logic, and Architecture Perspectives" given to the 2022 UC Merced Service Science class. The presentation covered several key topics:
1) It discussed two approaches to the future - artificial intelligence which focuses on building capable machine systems, and service science which studies transformation and building smarter socio-technical systems.
2) It presented a conceptual framework for service science that views it as a transdisciplinary approach to studying service systems.
3) It emphasized that as artificial intelligence and digital technologies continue advancing, they require investing wisely to improve service and understanding through better science, logics, and architectures.
Speaker: Jim Spohrer
Date: Tuesday April 18, 2023
Place: UC Santa Cruz - Silicon Valley
Title: "Generative AI and Design: From Present Practice to Future Vision”
Abstract: "AI upskilling is a top priority for everyone who wishes to improve their productivity and creativity. I will share some simple examples of how I use generative AI tools today in my work; as well as who I follow to learn more advanced tricks. Despite today's many limitations, AI tool capabilities will continue to improve rapidly (including a new explosion of smartphones apps), so it is important to understand how AI may disrupt work, especially creative work (see for example this Harvard Business Review post - https://hbr.org/2023/04/how-generative-ai-could-disrupt-creative-work). With the larger goal of humanity-centered design (beyond human-centered design), all responsible actors can learn to invest systematically and wisely in becoming better future versions of themselves, with improved win-win interaction and change processes that maximize benefits and minimize harms to diverse stakeholders. In conclusion, I will share the X+AI vision (described in my co-authored book 'Service in the AI Era: Science, Logic, and Architecture Perspectives'), which describes a world design where we all possess a digital twin of ourselves - our trusted cognitive mediators."
November 5, 2023
NHH: FRONT LINES ON ADOPTION OF DIGITAL AND
AI-BASED SERVICES
Thanks to Tor Andreassen for the opportunity
To discuss AI and IA.
Tor Andeassen: https://www.linkedin.com/in/tor-wallin-andreassen-1aa9031/
This document provides biographical information about Jim Spohrer, a retired IBM executive and UIDP Senior Fellow who was invited to give a presentation on AI to the Branch 54 SIRS group. The document includes Spohrer's contact information, references to books and resources he recommends, an outline of the topics he plans to discuss in his presentation, including an overview of AI progress and timelines, solving AI through leaderboards and exams, solving IA through better building blocks, and preparing for solving all problems. It also shares Spohrer's background, areas of study and priorities as an advisor focused on service innovation, AI upskilling, future universities and more.
This document discusses trust in interactions with cognitive assistants. It begins by defining cognitive assistants as new decision tools that can augment human capabilities by understanding our environment with depth and clarity. Cognitive assistants can provide high-quality recommendations to help people make better data-driven decisions, and significantly augment people's problem-solving abilities through interaction. The document then discusses components of trust from different academic disciplines, such as ability, benevolence, integrity, predictability, and shared values. It poses questions about what jobs will remain for humans and ethical issues regarding situations like domestic violence. The document conjectures that AI combined with other information sources could surpass average professionals in some areas. It also speculates that societies of AI may form to optimize tasks in
This document summarizes Jim Spohrer's presentation on service in the humanity-centered AI era. Some key points include:
- AI has progressed significantly since its inception in the 1950s but still has a long way to go, and the focus is shifting from artificial intelligence to intelligence augmentation to help people upskill.
- There are different views on service and AI from different disciplines like economics, computer science, and service science, with service science taking a broader view of responsible actors upskilling with AI to improve service.
- Upskilling entire nations with AI while also decarbonizing will be two of the greatest challenges of the 21st century.
- Responsible actors need to learn
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.
Similar to Community benefits for all 20210511 v3 (17)
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)
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.
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.
Spohrer Open Innovation Reflections 20230911 v2.pptxISSIP
September 11, 2023
Berkeley Innovation Forum
Open Innovation Journey
Henry Chesbrough, Solomon Darwin, Jim Spohrer
https://corporateinnovation.berkeley.edu/wp-content/uploads/2023/07/BIF-Fall2023-7.28.23.pdf
Pre-Event: Monday, September 11, 2023 at The CITRIS Innovation Hub
UC Berkeley, 330 Sutardja Dai Hall, MC 1764
7:45pm - 8:30pm
8:45pm
Fireside Chat: The Open Innovation Journey - Moderated by Henry Chesbrough
Henry Chesbrough
Faculty Director, Garwood Center for Corporate Innovation, UC Berkeley
Olga Diamandis
Former Disney, Smuckers, Mattel, P&G Executive
Jim Spohrer
Former Exec: IBM, Distinguished Scientist at Apple, Director of IBM AI
Nitin Narkhede
General Manager, Emerging Technologies and Innovation, Wipro
Bus pick-up to Hotel Shattuck Plaza
Henry Chesbrough is a professor at the Haas Business School, UC Berkeley, and faculty director of the Garwood Center for Corporate Innovation. An internationally acclaimed author, Dr. Chesbrough’s Open Innovation concept was first introduced in his award-winning book, Open Innovation: The New Imperative for Creating and Profiting from Technology (2003). When he coined the term Open Innovation, he defined an approach that companies around the globe now use to innovate. Today, Chesbrough works directly with companies through Garwood’s programs to apply the principles of Open Innovation, and he continues to refine our understanding through his research and books.
Olga Diamandis is the senior manager at TE Connectivity. Previously, she served as principal technical architect at the Walt Disney Company. She also worked as principal scientst of innovation & knowledge management at The J.M. Smucker Company. Before that, she served as senior manager of Open Innovation at Mattel. She also has experience as a manager of global business development at Procter & Gamble, alongside a previous managerial role at Nestle.
Jim Spohrer previously served as IBM Director of Cognitive OpenTech - which includes open source AI/ML/DL - as well as director of IBM’s deep question-answering system Watson. Prior to that, he worked as a Distinguished Scientist in Learning Research at Apple Computer, Inc. where he developed SK8, Educational Object Economy - an open source learning object community - as well as WorldBoard which served as a vision for Planetary Augmented Reality system.
Nitin Narkhede is General Manager of Emerging Technologies and Innovation at Wipro Technologies. He is responsible for the development of new services and solutions based on emerging trends and technologies at Wipro. Nitin has been in the forefront of a number of technology and business model transitions during his 20 years of work at Wipro. Prior to his current assignment, he managed Wipro’s e-Business Solutions Practice in the Americas. Nitin has over 23 years of experience in the technology industry spanning IT strategy and planning, information systems and software product development, technology strategy and innovation management.
Host:
Bart Raynaud - https://www.linkedin.com/in/bart-raynaud-160a0318/
Title: AI: Past, Present, and Future
Abstract: In 1956, the term "Artificial Intelligence" was coined for a workshop at Dartmouth. Since then there has been waxing and waning enthusiasm and investment, so called "AI Winters" after hype, did not live up to reality. In late 2022, with the release of ChatGPT, and over 100 million users in just 60 days, there is a new wave of hype, investment, excitement, and increased fears of AI use by 'bad actors' for misinformation and other harms to society. What are the future trajectories as this technology is tamed and becomes routine? Are we about to enter a 'golden age' of service in business and society, as technology comes to the service sector, as it came to agriculture and manufacturing in the past?
Bio: Jim Spohrer is a retired industry executive (Apple, IBM). In the 1970's, after graduating MIT with a degree in physics, he worked at an AI startup doing speech recognition with mathematical models. In the 1980's, after completing his PhD in Computer Science/AI & Cognitive Science at Yale, he moved to California to join Apple and work on AI for Education. In the late 1990's, he joined IBM as CTO of the Venture Capital Relations group during the internet investment boom, and later started IBM Research's service research area, led IBM Global University Programs, and led IBM's open source AI efforts. Jim's most recent co-authored book, "Service in the AI Era" was published in late 2022.
This document provides an agenda and materials for a post-industrial forum on knowledge worker productivity hosted by Jim Spohrer at SRI. The document includes:
- An introduction and background on Jim Spohrer, a retired industry executive and UIDP senior fellow.
- An agenda for a discussion on knowledge worker productivity, including presentations on relevant books and topics like estimation frameworks.
- Materials and figures for estimating knowledge worker productivity over time based on metrics like computing power and GDP per employee in the US.
- Additional slides on AI progress milestones, types of AI models, and an overview of Jim Spohrer's areas of study and priorities around service science, artificial intelligence, and trust.
Global Advanced Management Program
All India Management Association
Program Director: Professor Solomon Darwin, UC Berkeley
Expanding Markets by Leveraging Emerging Technologies
Agenda: June 25 – July 01, 2023
Service Research, Innovation, and (Safe) Practice in the Humanity-Centered AI Era
EMAC - https://www.emac-online.org/interest-groups/emac-special-interest-groups
EMAC SIG Service Marketing - https://www.linkedin.com/company/emac-sig-service-marketing/
Service Marketing Seminar - https://sites.google.com/view/service-marketing-seminar/startseite
This document provides an agenda for a talk on March 24, 2023 at the Ntegra Summit in San Francisco titled "Service innovation in the humanity-centered AI era". The speaker, Jim Spohrer, will discuss the arrival of AI based on the 1955 definition, the ongoing adjustment period, and solving problems with AI and intelligence augmentation (IA). The talk will be divided into three parts: 1) Solving AI through leaderboards and professional exams, 2) Solving IA with better building blocks, and 3) Addressing risks of "solving all problems". The document includes icons of AI progress, types of cognitive models, resilience, and the adjustment period. It poses questions and provides a timeline of AI history and future compute
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Community benefits for all 20210511 v3
1.
2. Benefits for All: Creating
Good Community Outcomes
Jim Spohrer
Director, IBM Cognitive OpenTech
Questions: spohrer@gmail.com
Twitter: @JimSpohrer
LinkedIn: https://www.linkedin.com/in/spohrer/
Slack: https://slack.lfai.foundation
Presentations on line at: https://slideshare.net/spohrer
Thanks to Katrine, Mac, Alex, and Cole for invitation to present
at Community Summit 2021 – May 11, 2021!
Three platforms/communities: People, Code, Information
3. Today’s Talk:
• Title: Benefits for All: Creating Good
Community Outcomes.
Abstract:
• Most people, businesses, universities,
governments aspire to transform into a better
future version of themselves.
• Communities help their members become better
future versions of themselves. Serving each other.
• Mastering new technologies is a transformation
sub-goal of most members - to learn to use
technologies to do something new or in new ways.
• Our IBM community members help each other
transform, according to the progression show me,
teach me, help me, do it for me, the first two are
usually free and the last two are usually for fee.
5/11/2021 (c) IBM MAP COG .| 3
Consumers and society at large are expecting
more from business. Embracing those
responsibilities can be good for shareholders, too.
4. Willie Tejada
IBM General Manager
ISV/Build Ecosystem &
Chief Developer Advocate
https://developer.ibm.com/callforcode/
9. Trust: Two Communities
5/11/2021 IBM Code #OpenTechAI 9
Service
Science
Artificial
Intelligence
Trust:
Value Co-Creation
Responsible Entity Collaborators
Transdisciplinary Community
Trust:
Secure, Fair, Explainable
Machine Collaborators
Open Source Communities
10. Timeline: Every 20 years,
compute costs are down by 1000x
• Cost of Digital Workers
• Moore’s Law can be thought of as
lowering costs by a factor of a…
• Thousand times lower
in 20 years
• Million times lower
in 40 years
• Billion times lower
in 60 years
• Smarter Tools (Terascale)
• Terascale (2017) = $3K
• Terascale (2020) = ~$1K
• Narrow Worker (Petascale)
• Recognition (Fast)
• Petascale (2040) = ~$1K
• Broad Worker (Exascale)
• Reasoning (Slow)
• Exascale (2060) = ~$1K
10
5/11/2021 (c) IBM 2017, Cognitive Opentech Group
2080
2040
2000
1960
$1K
$1M
$1B
$1T
2060
2020
1980
+/- 10 years
$1
Person Average
Annual Salary
(Living Income)
Super Computer
Cost
Mainframe Cost
Smartphone Cost
T
P
E
T P E
AI Progress on Open Leaderboards
Benchmark Roadmap to solve AI/IA
11. Timeline: Leaderboards Framework
AI Progress on Open Leaderboards - Benchmark Roadmap
Perceive World Develop Cognition Build Relationships Fill Roles
Pattern
recognition
Video
understanding
Memory Reasoning Social
interactions
Fluent
conversation
Assistant &
Collaborator
Coach &
Mediator
Speech Actions Declarative Deduction Scripts Speech Acts Tasks Institutions
Chime Thumos SQuAD SAT ROC Story ConvAI
Images Context Episodic Induction Plans Intentions Summarization Values
ImageNet VQA DSTC RALI General-AI
Translation Narration Dynamic Abductive Goals Cultures Debate Negotiation
WMT DeepVideo Alexa Prize ICCMA AT
Learning from Labeled Training Data and Searching (Optimization)
Learning by Watching and Reading (Education)
Learning by Doing and being Responsible (Exploration)
2018 2021 2024 2027 2030 2033 2036 2039
5/11/2021 (c) IBM 2017, Cognitive Opentech Group 11
Which experts would be really surprised if it takes less time… and which experts really surprised if it takes longer?
Approx.
Year
Human
Level ->
+3
See: https://paperswithcode.com/sota
12. IA Progression – Tool, Assistant, Collaborator, Coach, Mediator
5/11/2021 (c) IBM MAP COG .| 12
Rouse & Spohrer (2018)
Siddike, Spohrer, Demirkan, Kodha (2018)
Araya (2018)
Spohrer& Siddike (2018)
14. Two disciplines: Two approaches 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 aim to 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.
26-30 July 2015 3rd International Conference on The Human Side of Service Engineering
14
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)
15. Today’s Talk:
• Title: Benefits for All: Creating Good Community
Outcomes.
Abstract: The 2020 pandemic is accelerating the
digital (information technologies)
transformation of society, including online
working, learning, playing and belonging. The
future of Artificial Intelligence (AI) will bring
even greater acceleration and transformations,
including Responsible Entities Learning. Service
science predicts that in this transformation of
business and society that competing for
collaborators will increasingly shape value co-
creation interactions and capability co-elevation
outcomes between responsible entities learning.
5/11/2021 (c) IBM MAP COG .| 15
Consumers and society at large are expecting
more from business. Embracing those
responsibilities can be good for shareholders, too.
16. Accelerating shift - from employees to earners in
platform society
Farrrel D, Grieg F (2014)
Online Platform
Economy.
17. Upskilling…
T-shapes (l)earners…
on multiple platforms
Rodgers S (2016) Jeremiah
Owyang on the Collaborative
Economy.
Kenny M, Zysman J (2016) The
Rise of the Platform Economy.
20. Time - Session Speakers
8:00 - Welcome (10 minutes) ISSIP President, Ulf Vinneras (Aruba Networks, USA)
ISSIP Executive Director, Yassi Moghaddam (ISSIP, USA)
Event Chair/Contact, Jim Spohrer (IBM, USA) <spohrer@us.ibm.com>
Event Whitepaper Author, Ralph Badinelli (Virginia Tech, USA)
8:10 - First Panel (1 hr & 20 min)
Business Processes
Moderator /Chair opening (5 min) Rama Akkiraju (IBM, USA)
Speaker 1 (15 min) Jerry Cuomo (IBM, USA)
Speaker 2 (15 min) Marlon Dumas (U Tartu, Estonia)
Speaker 3 (15 min) Wil van der Aalst (U Aachen, Germany)
Speaker 4 (15 min) Vik Sohoni (McKinsey, USA)
Discussion (15 min)
9:30 - Break (10 minutes)
9:40 - Second Panel (1 hr & 20 min)
Digital Twins & Future Trends
Moderator/Chair opening (5 min) Terri Griffith (Simon Fraser U, Canada)
Speaker 5 (15 min) Shaun West (Lucerne U, Switzerland)
Speaker 6 (15 min) Hausi Muller (U Victoria, Canada)
Speaker 7 (15 min) Bob Cohen (Economics Institute, USA)
Speaker 8 (15 min) Erin Bishop-Rapacki (Robot Startups & Investing, USA)
Discussion (15 Min)
11:00 - Closing
21. Jim Spohrer, IBM
Director, Cognitive OpenTech
Jim Spohrer directs IBM’s open-source Artificial Intelligence developer
ecosystem effort. After his MIT BS in Physics, he developed speech recognition
systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI.
In the 1990’s, he attained Apple Computers’ Distinguished Engineer Scientist
and Technologist role for next generation learning platforms. He was CTO IBM
Venture Capital Group, co-founded IBM Almaden Service Research, and led IBM
Global University Programs. With over ninety publications and nine patents, he
received the 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 as LF AI Technical Advisory Board
Chairperson and ONNX Steering Committee Member (2020-2021).
5/11/2021 (c) IBM 2020, Cognitive Opentech Group 21
Thank-you for the opportunity to share some thoughts with you all today. My contact and this presentation is on slideshare.
Title: Community Benefits for All!
Abstract: The 2020 pandemic is accelerating the digital (information technologies) transformation of society, including online working, learning, playing and belonging. The future of AI will bring even greater acceleration and transformations. Service science predicts that in this transformation of business and society that competing for collaborators will increasingly shape value co-creation interactions and capability co-elevation outcomes between entities in the coming decades. A community view is presented.
Bio: Jim Spohrer directs IBM’s open source Artificial Intelligence developer ecosystem effort. He led IBM Global University Programs, co-founded Almaden Service Research, and was CTO Venture Capital Group. After his MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI. In the 1990’s, he attained Apple Computers’Distinguished Engineer Scientist and Technologist role for next generation learning platforms. With over ninety publications and nine patents, he received the Gummesson Service Research award, Vargo and Lusch Service-Dominant Logic award, Daniel Berg Service Systems award, and a PICMET Fellow for advancing service science.
The pandemic has accelerated the adoption of AI and robotics in service systems.
Many questions arise – so let’s get started.
”Technology doing something” is called a workload. Making sure workloads can run securely, reliably, at scale, anywhere is what IBM does for the world. This is the essence of IBM’s hybrid cloud and AI strategy, with Red Hat OpenShift.
IBM is 110 years old. Has been #1 in the world for patents for 28+years in a row. With 350K employees world wide. Also in the top five open source contributers.
Why learn to use technology – usually to make the routine go faster, to free up time for scanning for transform or more time to innovate.
URL https://developer.ibm.com
Communities help their members become better future versions of themselves. Most people, businesses, universities, governments aspire to transform into a better future version of themselves. A sub-goal is to learn to use technologies to do something new or in new ways. IBM helps entities transform, according to show me, teach me, help me, do it for me, the first two are usually free and the last two are usually for fee. ”Technology doing something” is called a workload. Making sure workloads can run securely, anywhere is what IBM does for the world.
Yassi Moghaddam https://www.linkedin.com/in/yassimoghaddam/
Before introducing the moderator of the first panel, I would also like to add my welcome and thank-you to our speakers today. ISSIP Discovery Summits would not be possible without experts who are willing to share their knowledge and provide their point-of-view on important topics like AI and Automation that can be used to improve service system design and performance. ISSIP awards a badge for knowledge sharing eminence to each speakers as a small thank-you for their generosity. All ISSIP members are encouraged to submit application for the annual ISSIP Excellence in Service Innovation Award. All ISSIP members are invited to attend ISSIP Progress and Open Board of Director meetings which celebrate member accomplishments, professional development milestones and growth opportunities, and noteworthy innovations.
A quick reminder that this meeting is being recorded, and please stay on mute and type your questions/comments into the chat so the moderators can select which questions to ask the panelists. If you are a member of ISSIP slack, then you can type your questions there if you prefer. Also, in ISSIP Slack, attendees who are also expert on the topic of AI & Automation are invited to share additional points-of-vie for possible inclusion in the whitepaper that is being authored by Prof. Ralph Badinelli (ISSIP Board of Directors member, and former ISSIP President).
The next slide introduces Rama Akkiraju who will moderate the first panel.
The weakest link is what needs to be improved – according to system scientists. Accessing help, service, experts is the weakest link in most systems.
By 2035 the phone may have the power of one human brain – by 2055 the phone may have the power of all human brains.
Before trying to answer the question about which types of sciences are more important – the ones that try to explain the external world or the ones that try to explain the internal world – consider this, slide that shows the different telephones that I have used in my life. I grew up in rural Maine, where we had a party line telephone because we were somewhat remote on our farm in Newburgh, Maine.
However, over the years phones got much better…. So in 2035 or 2055, who are you going to call when you need help?
Today, I am the Director of IBM CODAIT
Source: Vijay Bommireddipally (CODAIT Director) and Fred Reiss (CODAIT Chief Architect)
For those wondering what the common denominator is between service science and artificial intelligence – it is trust.
This slide is my version of Moore’s Law – just draw seven verticals every 20 years from 1960 to 2080, and five horizonal lines for $1 to $1T. Computing power is the diagonal lines. Today in 2020, for example, a terascale a million millions instructions per second is available for about$1K and petascale is available for 10M to 100M. Exascale is predicted to be available for $1K in 2060 – we will see – no one knows the future. The yellow line going down is the cost of digital workers, if you think of a CEO buying an AI capability for a particular price this is an important prediction. This can also be interpreted as the apps on your smart phones growing up to become digital workers with a voice interface.
What is beyond Exascale? Zetta (21), Yotta (24)
Time dimension (x-axis) is plus or minus 10 years….
Daniel Pakkala (VTT)
URL: https://aiimpacts.org/preliminary-prices-for-human-level-hardware/
Dan Gruhl:
https://www.washingtonpost.com/archive/business/1983/11/06/in-pursuit-of-the-10-gigaflop-machine/012c995a-2b16-470b-96df-d823c245306e/?utm_term=.d4bde5652826
In 1983 10 GF was ~10 million.
That's 24.55 million in today's dollars.
or 2.4 billion for 1 TF in 1983
Today 1 TF is about $3k http://www.popsci.com/intel-teraflop-chip
In addition, to monitoring and driving increasing compute at lower energy cost – IBM is also tracking advances in open source AI on leaderboards, and based on the performance of open source AI for specific tasks, we can also predict when a particular capability is likely to reach human level performance (about 5% error rate, depending on the task).
+3 from original estimates, getting video understanding (verbs and nouns and context) and episodic dynamic memory for learning events and expectation violations and importance is taking longer than expected…
Expert predictions on HMLI: URL https://arxiv.org/pdf/1705.08807.pdf
2015 Pattern Recognition Speech: URL: http://spandh.dcs.shef.ac.uk/chime_challenge/chime2016/results.html
2015 Pattern Recognition Images: URL: http://www.image-net.org/
2015 Patten Recognition Translation: URL: http://www.statmt.org/wmt17/
2018 Video Understanding Actions: URL: http://www.thumos.info/home.html
> Also UCF101 http://crcv.ucf.edu/data/UCF101.php
2018 Video Understanding Context: URL: http://visualqa.org/challenge.html
2018 Video Understanding DeepVideo: URL: http://cs.stanford.edu/people/karpathy/deepvideo/
2021 Memory Declarative: URL: https://rajpurkar.github.io/SQuAD-explorer/
Also Allen AI Kaggle Science Challenge https://www.kaggle.com/c/the-allen-ai-science-challenge
2024 Reasoning Deduction: URL: http://www.satcompetition.org/
2027: Social Interaction Scripts: URL: https://competitions.codalab.org/competitions/15333
2030: Fluent Conversation Speech Acts: URL: http://convai.io/
2030: Fluent Conversation Intentions: URL: http://workshop.colips.org/dstc6/
2030: Fluent Conversation Alexa Prize: URL: https://developer.amazon.com/alexaprize
2033: Assistant & Collaborator Summarization: URL: http://rali.iro.umontreal.ca/rali/?q=en/Automatic%20summarization
2033: Assistant & Collaborator Debate: URL: http://argumentationcompetition.org/2015/
2036: Coach & Mediator General AI: URL: https://www.general-ai-challenge.org/
2036: Coach & Mediator Negotiation: URL: https://easychair.org/cfp/AT2017
Spohrer J, Siddike (2018) The Future of Digital Cognitive Systems: Tool, Assistant, Collaborator, Coach, Mediator. In Ed. Araya D. Augmented Intelligence: Smart Systems and the Future of Work and Learning. Peter Lang International Academic Publishers; 2018 Sep 28.
Siddike MA, Spohrer J, Demirkan H, Kohda Y. A Framework of Enhanced Performance: People's Interactions With Cognitive Assistants. International Journal of Systems and Service-Oriented Engineering (IJSSOE). 2018 Jul 1;8(3):1-7.
Rouse WB, Spohrer JC. Automating versus augmenting intelligence. Journal of Enterprise Transformation. 2018 Feb 7:1-21.
Araya D. Augmented Intelligence: Smart Systems and the Future of Work and Learning. Peter Lang International Academic Publishers; 2018 Sep 28.
The weakest link is what needs to be improved – according to system scientists. Accessing help, service, experts is the weakest link in most systems.
By 2035 the phone may have the power of one human brain – by 2055 the phone may have the power of all human brains.
Before trying to answer the question about which types of sciences are more important – the ones that try to explain the external world or the ones that try to explain the internal world – consider this, slide that shows the different telephones that I have used in my life. I grew up in rural Maine, where we had a party line telephone because we were somewhat remote on our farm in Newburgh, Maine.
However, over the years phones got much better…. So in 2035 or 2055, who are you going to call when you need help?
What does it mean to solve automation? Transformation?
The pandemic has accelerated the adoption of AI and robotics in service systems.
Many questions arise – so let’s get started.
Farrel and Grieg 2014 nicely define labor platforms (doing tasks) versus capital platforms (selling goods or renting assets/assets as a service) for earners.
Think of retired people - multiple sources of earning income streams - based on tasks and assets as a income/earning service.
The work of Owyang on the collaborative economy and Kenny and Zysman on the Platform economy share best practices, opportunities, and challenges ahead for earners, and upskilling to earn, versus reskilling for a job is clearly the trend for the future – earning from multiple sources. Retirees already do that in the US – SS, Pension, Dividends, Freeland – multiple diverse sources of income that require upskilling to earn the most from a variety of sources.
For more on upskilling, I recommend these two books.
Emails
Ulf Vinneras <ulf@vinneras.com>,
Yassi Moghaddam <yassi@issip.org>,
Jim Spohrer <spohrer@us.ibm.com>,
Ralph Badinelli <ralphb@vt.edu>,
Rama Akkiraju <akkiraju@us.ibm.com>,
Jerry Cuomo <gcuomo@us.ibm.com>.
Marlon Dumas <marlon.dumas@ut.ee>,
Wil van der Aalst <wvdaalst@pads.rwth-aachen.de>,
Vik Sohoni <vik_sohoni@mckinsey.com>,
Terri Griffith <t@terrigriffith.com>,
Shaun West <shaun.west@hslu.ch>,
Hausi Muller <hausimuller@gmail.com>,
Bob Cohen <bcohen@bway.net>,
Erin Rapacki <erin@machineinbound.com>
Linkedin
Ulf Vinneras https://www.linkedin.com/in/ulf-vinneras/
Yassi Modhaddam https://www.linkedin.com/in/yassimoghaddam/
Jim Spohrer https://www.linkedin.com/in/spohrer/
Ralph Badinelli https://www.linkedin.com/in/ralphbadinelli/
Rama Akkiraju https://www.linkedin.com/in/ramaakkiraju/
Jerry Cuomo https://www.linkedin.com/in/jerry-cuomo/
Marlon Dumas https://www.linkedin.com/in/marlondumas/
Wil van der Aalst https://www.linkedin.com/in/wvdaalst/
Vik Sohoni https://www.linkedin.com/in/viksohoni/
Terri Griffith https://www.linkedin.com/in/terrigriffith/
Shaun West https://www.linkedin.com/in/shaunwest/
Hausi Muller https://www.linkedin.com/in/hausi/
Bob Cohen https://www.linkedin.com/in/robertcohen2008/
Erin Bishop-Rapacki https://www.linkedin.com/in/erapacki/
Here is my brief bio.
I am Jim Spohrer, IBM’s Director of Cognitive OpenTech – meaning I lead open source AI for the part of IBM which works with software developers globally.
As a result of my work in service science, I have won a number of awards, including the Gummesson Service Research Award, Vargo and Lusch Service-Dominant Logic Award, Daniel Berg Service Systems Award, and the PICMET Fellow award for advancing service science.
Here is my bio in terms of systems that I have studies.
However, at the end of the day, even with more creative and productive people…. With the 2035 symbiosis of people and their cognitive assistants, we are left trying to explain external phenomena and internal phenomena, as well as to create possible future worlds…
The natural sciences of course include physics, chemistry, and biology.
The cogntive science are not as well understood, but people are increasing aware of neuroscience (brain science), psychology, and artificial intelligence – which inform cognitive science.
Finally, the least understood and newest is service science. Service science is the study of the evolving ecology of service sytem entities with capabilities, contraints, rights, and responsibilities – but also importantly with imagination! The humanities and fiction are a great source of possible future worlds. We just have to design and edcuate the next generation to engineer, manage, and set in place public policy that allows us to realize possible future worlds that we would like to live in.
Source: Regis Lemmes http://www.slideshare.net/SalesCubes/sales-cocreation-35336385