This document discusses innovation for service value networks through building big data and personalizing analytics. It provides examples of networks like eBay and Facebook and innovations in areas like e-marketing, group activities, and on-demand business collaboration. The principles involve integrating personal data from various sources and developing personal services through massive analytics. The theories aim to scale connections across entire populations, individual people in networks, and through network transformations. The document also outlines an ontology for data integration and a predictive e-marketing analytics approach for customer recommendations.
From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...Edward Curry
The Real-time Linked Dataspace (RLD) is an enabling platform for data management for intelligent systems within smart environments that combines the pay-as-you-go paradigm of dataspaces, linked data, and knowledge graphs with entity-centric real-time query capabilities.
The RLD contains all the relevant information within a data ecosystem including things, sensors, and data sources and has the responsibility for managing the relationships among these participants.
It manages sources without presuming a pre-existing semantic integration among them using specialised dataspace support services for loose administrative proximity and semantic integration for event and stream systems. Support services leverage approximate and best-effort techniques and operate under a 5 star model for “pay-as-you-go” incremental data management.
Towards a BIG Data Public Private PartnershipEdward Curry
Building an industrial community around Big Data in Europe is the priority of the BIG: Big Data Public Private Forum project. In this workshop we will present the work of the project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. BIG is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of Big Data research and innovation, while also providing a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy.
From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...Edward Curry
The Real-time Linked Dataspace (RLD) is an enabling platform for data management for intelligent systems within smart environments that combines the pay-as-you-go paradigm of dataspaces, linked data, and knowledge graphs with entity-centric real-time query capabilities.
The RLD contains all the relevant information within a data ecosystem including things, sensors, and data sources and has the responsibility for managing the relationships among these participants.
It manages sources without presuming a pre-existing semantic integration among them using specialised dataspace support services for loose administrative proximity and semantic integration for event and stream systems. Support services leverage approximate and best-effort techniques and operate under a 5 star model for “pay-as-you-go” incremental data management.
Towards a BIG Data Public Private PartnershipEdward Curry
Building an industrial community around Big Data in Europe is the priority of the BIG: Big Data Public Private Forum project. In this workshop we will present the work of the project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. BIG is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of Big Data research and innovation, while also providing a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy.
Open Data Innovation in Smart Cities: Challenges and TrendsEdward Curry
Open Data initiatives are increasingly considered as defining elements of emerging smart cities. However, few studies have attempted to provide a better understanding of the nature of this convergence and the impact on both domains. This talk examines the challenges and trends with open data initiatives using a socio-technical perspective of smart cities. The talk presents findings from a detailed study of 18 open data initiatives across five smart cities to identify emerging best practice. Three distinct waves of open data innovation for smart cities are discussed. The talk details the specific impacts of open data innovation on the different smart cities domains, governance of the cities, and the nature of datasets available in the open data ecosystem within smart cities.
Towards Unified and Native Enrichment in Event Processing SystemsEdward Curry
Events are encapsulated pieces of information that flow from one event agent to another. In order to process an event, additional information that is external to the event is often needed. This is achieved using a process called event enrichment. Current approaches to event enrichment are external to event processing engines and are handled by specialized agents. Within large-scale environments with high heterogeneity among events, the enrichment process may become difficult to maintain. This paper examines event enrichment in terms of information completeness and presents a unified model for event enrichment that takes place natively within the event processing engine. The paper describes the requirements of event enrichment and highlights its challenges such as finding enrichment sources, retrieval of information items, finding complementary information and its fusion with events. It then details an instantiation of the model using Semantic Web and Linked Data technologies. Enrichment is realised by dynamically guiding a spreading activation algorithm in a Linked Data graph. Multiple spreading activation strategies have been evaluated on a set of Wikipedia events and experimentation shows the viability of the approach.
The event presents real-life examples from European organisations that have used the Rulebook for Fair Data Economy to develop data-driven business. The online event was organised on 3 March 2021 by Sitra.
Presentations:
- Jaana Sinipuro, Sitra
- Olli Pitkänen, 1001 Lakes
- Marko Turpeinen, 1001 Lakes
- Lars Nagel, International Data Spaces Association
- Cátia Pinto, Serviços Partilhados do Ministério da Saúde
- Matthias De Bièvre, aNewGovernance
FIWARE Global Summit - The Digital Single Market - Benefits and Solutions for...FIWARE
Presentation by Daniele Rizzi
Principal Administrator and Policy Officer, Connecting Europe Facility Program, European Commission
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
Introduction to EOSCpilot project and topical activities in the area of EOSCEOSCpilot .eu
This presentation was given by Juan Bicarregui, STFC and EOSCpilot project coordinator, during 2nd EOSCpilot Governance Development Forum workshop, 3 October 2017, Tallin.
https://eoscpilot.eu/events/2nd-egdf-eoscpilot-governance-development-forum
Follow EOSCpilot on Twitter: https://twitter.com/eoscpilot
and LinkedIn: https://www.linkedin.com/in/eoscpiloteu
In the third part of the workshop series Smart Policies for Data, we will focus on two central building blocks – interoperability and balanced data sharing.
The presentations of the event:
- Szymon Lewandowski, DG CONNECT, European Commission
- Marko Turpeinen, CEO, 1001 Lakes
- Lars Nagel, CEO, International Data Spaces Association
Improving Policy Coherence and Accessibility through Semantic Web Technologie...Edward Curry
The complexity, volume and diversity of government policies and regulations raises significant burden on both the complying parties and government itself. On the one hand, businesses, civil organizations and other societal entities are required to simultaneously comply with and interpret different and possibly conflicting or inconsistent regulations. On the other hand, government as a whole must ensure policy and regulatory coherence across its various policy domains. While the recent wave of open government initiatives have led to significantly more public access to these documents, features allowing cross-referencing related documents and linking to less formal documents or comments on other media more understandable and accessible to the public are not common if at all available today. As a solution to this challenge, we propose an Open Government-wide Policy and Regulation Information Space consisting of documents that are “semantically” annotated and cross-linked to other documents in the information space as well as to external resources such as interpretations, comments and blogs on the social web.
Our approach is three-fold. First, we identify the requirements for the infrastructure. Second, we eloborate a Reference Architecture identifying the various elements needed within the infrastructure. Third, we show how such infrastructure may be realised as a linked data portal where policies and regulations are published as linked open data. Finally, we present a case study involving environmental policy and regulations; discuss the potential impact of such infrastructure on coherency and accessibility of policies and regulations and concludes with challenges associated with provisioning a linked open policy and regulatory information infrastructure.
EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...European Data Forum
Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...European Data Forum
BIG - NESSI Networking Session, Talk by Edward Curry, National University of Ireland Galway at the European Data Forum 2014, 20 March 2014 in Athens, Greece: The Big Data Value Chain.
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...European Data Forum
Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?
International Conference on Cloud, Big Data and IoT (CBIoT 2020) ijdpsjournal
International Conference on Cloud, Big Data and IoT (CBIoT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
Watson analytics - Marketing Analytics at your Fingertipsfabianau
Marketers in this era are data driven and data driven marketers always win, this is because there an abundance of data in today's world and Big Data has an huge impact in the marketing world today. Winning marketers always combine data from disparate sources and generate meaningful insights.
Open Data Innovation in Smart Cities: Challenges and TrendsEdward Curry
Open Data initiatives are increasingly considered as defining elements of emerging smart cities. However, few studies have attempted to provide a better understanding of the nature of this convergence and the impact on both domains. This talk examines the challenges and trends with open data initiatives using a socio-technical perspective of smart cities. The talk presents findings from a detailed study of 18 open data initiatives across five smart cities to identify emerging best practice. Three distinct waves of open data innovation for smart cities are discussed. The talk details the specific impacts of open data innovation on the different smart cities domains, governance of the cities, and the nature of datasets available in the open data ecosystem within smart cities.
Towards Unified and Native Enrichment in Event Processing SystemsEdward Curry
Events are encapsulated pieces of information that flow from one event agent to another. In order to process an event, additional information that is external to the event is often needed. This is achieved using a process called event enrichment. Current approaches to event enrichment are external to event processing engines and are handled by specialized agents. Within large-scale environments with high heterogeneity among events, the enrichment process may become difficult to maintain. This paper examines event enrichment in terms of information completeness and presents a unified model for event enrichment that takes place natively within the event processing engine. The paper describes the requirements of event enrichment and highlights its challenges such as finding enrichment sources, retrieval of information items, finding complementary information and its fusion with events. It then details an instantiation of the model using Semantic Web and Linked Data technologies. Enrichment is realised by dynamically guiding a spreading activation algorithm in a Linked Data graph. Multiple spreading activation strategies have been evaluated on a set of Wikipedia events and experimentation shows the viability of the approach.
The event presents real-life examples from European organisations that have used the Rulebook for Fair Data Economy to develop data-driven business. The online event was organised on 3 March 2021 by Sitra.
Presentations:
- Jaana Sinipuro, Sitra
- Olli Pitkänen, 1001 Lakes
- Marko Turpeinen, 1001 Lakes
- Lars Nagel, International Data Spaces Association
- Cátia Pinto, Serviços Partilhados do Ministério da Saúde
- Matthias De Bièvre, aNewGovernance
FIWARE Global Summit - The Digital Single Market - Benefits and Solutions for...FIWARE
Presentation by Daniele Rizzi
Principal Administrator and Policy Officer, Connecting Europe Facility Program, European Commission
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
Introduction to EOSCpilot project and topical activities in the area of EOSCEOSCpilot .eu
This presentation was given by Juan Bicarregui, STFC and EOSCpilot project coordinator, during 2nd EOSCpilot Governance Development Forum workshop, 3 October 2017, Tallin.
https://eoscpilot.eu/events/2nd-egdf-eoscpilot-governance-development-forum
Follow EOSCpilot on Twitter: https://twitter.com/eoscpilot
and LinkedIn: https://www.linkedin.com/in/eoscpiloteu
In the third part of the workshop series Smart Policies for Data, we will focus on two central building blocks – interoperability and balanced data sharing.
The presentations of the event:
- Szymon Lewandowski, DG CONNECT, European Commission
- Marko Turpeinen, CEO, 1001 Lakes
- Lars Nagel, CEO, International Data Spaces Association
Improving Policy Coherence and Accessibility through Semantic Web Technologie...Edward Curry
The complexity, volume and diversity of government policies and regulations raises significant burden on both the complying parties and government itself. On the one hand, businesses, civil organizations and other societal entities are required to simultaneously comply with and interpret different and possibly conflicting or inconsistent regulations. On the other hand, government as a whole must ensure policy and regulatory coherence across its various policy domains. While the recent wave of open government initiatives have led to significantly more public access to these documents, features allowing cross-referencing related documents and linking to less formal documents or comments on other media more understandable and accessible to the public are not common if at all available today. As a solution to this challenge, we propose an Open Government-wide Policy and Regulation Information Space consisting of documents that are “semantically” annotated and cross-linked to other documents in the information space as well as to external resources such as interpretations, comments and blogs on the social web.
Our approach is three-fold. First, we identify the requirements for the infrastructure. Second, we eloborate a Reference Architecture identifying the various elements needed within the infrastructure. Third, we show how such infrastructure may be realised as a linked data portal where policies and regulations are published as linked open data. Finally, we present a case study involving environmental policy and regulations; discuss the potential impact of such infrastructure on coherency and accessibility of policies and regulations and concludes with challenges associated with provisioning a linked open policy and regulatory information infrastructure.
EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...European Data Forum
Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...European Data Forum
BIG - NESSI Networking Session, Talk by Edward Curry, National University of Ireland Galway at the European Data Forum 2014, 20 March 2014 in Athens, Greece: The Big Data Value Chain.
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...European Data Forum
Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?
International Conference on Cloud, Big Data and IoT (CBIoT 2020) ijdpsjournal
International Conference on Cloud, Big Data and IoT (CBIoT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
Watson analytics - Marketing Analytics at your Fingertipsfabianau
Marketers in this era are data driven and data driven marketers always win, this is because there an abundance of data in today's world and Big Data has an huge impact in the marketing world today. Winning marketers always combine data from disparate sources and generate meaningful insights.
Congratulations all Net workers,
Updated Upgraded Latest Binary one by one Powerful Plan Now Available,
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Operationalizing the Value of MongoDB: The MetLife ExperienceMongoDB
It was a lot of fun bringing exciting emerging technology into the rigid enterprise infrastructure eco-system. And then the real work began. How do you make the new technology operational? Learn from MetLife’s journey of operationalizing MongoDB to the level compliant with large enterprise requirements in High Availability, Recoverability, Security, Monitoring, Alerting, Workload management and Automation.
Mining Google Analytics for Marketing InsightsKash Dhanda
Google Analytics is used by tens of millions of businesses to improve marketing decisions with data. This presentation explains how to properly set up an account, use the most powerful features, and generate marketing insights.
By watching this presentation, you'll learn:
* Example goals for Branding, Content Marketing, and Lead Generation websites
* Recommended segments any business can use to gain insights on specific members of their audience
* Intelligence events to keep you on top of your website data
* Common setup errors in Google Analytics
* Questions to ask your data, along with step-by-step images detailing how to find the answers
* Analysis best practices
Other topics covered include:
* Why you should use Google Analytics
* What you can do with Google Analytics
* Questions to help determine your web objectives and example objectives which might apply to your business
* Step-by-step instructions to set up goals, segments, and intelligence alerts
* How to quantify the results of your marketing efforts by using financial values
* Tagging tracking URLs for better campaign tracking
Presented by Kash Dhanda, President of Ezra Digital, at the invitation of the SMPS at their #theAECsofMarketing event.
An overview of Google Analytics from setup and installation to terminology, campaign tagging, and how to use Google Analytics to answer business questions such as who your visitors are and what they're doing on your site.
How to Unlock the ROI of Your Marketing AnalyticsClearPivot
Profit-making businesses expect to grow over time — grow sales and grow in value. Companies that fail to grow are at risk of losing out to the competition, and eventually going under.
Marketing represents the engine of business growth.
Businesses have always needed to accurately identify their niche, develop a strong marketing plan that focus on the target group, and deliver an effective message. Now, they must also develop a keen focus in tracking marketing metrics. Why? Because many businesses spend significant money on their marketing efforts, but then experience disappointment because of poor results.
Smart businesses understand how to utilize analytics to align limited resources with the most effective marketing initiatives to get the most bang for their buck.
Learn how to identify key events — on-site and off-site initiatives — that are critical to filling your sales pipeline.
Avoiding Anonymous Users in Multiple Social Media Networks (SMN)paperpublications3
Abstract: The main aim of this project is secure the user login and data sharing among the social networks like Gmail, Facebook and also find anonymous user using this networks. If the original user not available in the networks, but their friends or anonymous user knows their login details means possible to misuse their chats. In this project we have to overcome the anonymous user using the network without original user knowledge. Unauthorized user using the login to chat, share images or videos etc This is the problem to be overcome in this project .That means user first register their details with one secured question and answer. Because the anonymous user can delete their chat or data In this by using the secured questions we have to recover the unauthorized user chat history or sharing details with their IP address or MAC address. So in this project they have found out a way to prevent the anonymous users misuse the original user login details.
How do data analysts work with big data and distributed computing frameworks.pdfSoumodeep Nanee Kundu
The era of big data has ushered in a new paradigm for data analysis, presenting unique challenges and opportunities. This article delves into the world of big data analytics and explores how data analysts work with distributed computing frameworks to handle large and complex datasets. We'll discuss the concept of big data, the challenges it poses, and the evolution of distributed computing frameworks. Furthermore, we'll dive into the role of data analysts, their skills and tools, and the practical applications of big data analytics. By the end of this article, readers will have a comprehensive understanding of how data analysts leverage distributed computing frameworks to extract valuable insights from vast datasets.
Real World Application of Big Data In Data Mining Toolsijsrd.com
The main aim of this paper is to make a study on the notion Big data and its application in data mining tools like R, Weka, Rapidminer, Knime,Mahout and etc. We are awash in a flood of data today. In a broad range of application areas, data is being collected at unmatched scale. Decisions that previously were based on surmise, or on painstakingly constructed models of reality, can now be made based on the data itself. Such Big Data analysis now drives nearly every aspect of our modern society, including mobile services, retail, manufacturing, financial services, life sciences, and physical sciences. The paper mainly focuses different types of data mining tools and its usage in big data in knowledge discovery.
The software development process is complete for computer project analysis, and it is important to the evaluation of the random project. These practice guidelines are for those who manage big-data and big-data analytics projects or are responsible for the use of data analytics solutions. They are also intended for business leaders and program leaders that are responsible for developing agency capability in the area of big data and big data analytics .
For those agencies currently not using big data or big data analytics, this document may assist strategic planners, business teams and data analysts to consider the value of big data to the current and future programs.
This document is also of relevance to those in industry, research and academia who can work as partners with government on big data analytics projects.
Technical APS personnel who manage big data and/or do big data analytics are invited to join the Data Analytics Centre of Excellence Community of Practice to share information of technical aspects of big data and big data analytics, including achieving best practice with modeling and related requirements. To join the community, send an email to the Data Analytics Centre of Excellence
This article useful for anyone who want to introduce with Big Data and how oracle architecture Big Data solution using Oracle Big Data Cloud solutions .
Catalysing research and enterprise collaboration in the data ecosystemDublinked .
Dr Edward McDonnell, director of the Centre for Applied Data Analytics (CeADAR) explores data analytics tools for analysing customer segments, clustering and social fingerprinting.
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
EIT Digital Course - Generative AI Essentials
URL: https://professionalschool.eitdigital.eu/generative-ai-essentials
Second Version (Most Recent) - May 29, 2024
Presentation:
Recording: https://youtu.be/_1X6bRfOqc4
Article (20240514 - EIT Digital) - https://www.eitdigital.eu/newsroom/grow-digital-insights/personal-ai-digital-twins-the-future-of-human-interaction/
Jim Spohrer YouTubes
JCS Reid Hoffman meets his AI twin - URL: https://youtu.be/rgD2gmwCS10
JCS Jim Twin V1 YouTube English - URL : https://youtu.be/T4S0uZp1SHw
JCS Jim Twin V2 YouTube French - URL: https://youtu.be/02hCGRJnCoc
Jensen Huang (Founder & CEO Nvidia) at Stanford talking about H100
URL: https://www.youtube.com/watch?v=cEg8cOx7UZk
JCS AI Digital Twins of People (blog post) - https://service-science.info/archives/6612
First Version (Oldest) - Nov 27, 2023
Presentation - https://www.slideshare.net/slideshow/eitdigitalspohreraiintro-20231128-v1pptx/263977452
JCS Reflecting on Generative AI - https://service-science.info/archives/6521
T-Shaped Professionals:
The Past, Present, and Future of MyT-Me Development
by
Louis E. Freund, Jim Spohrer, Pavel Savva, Yash Gandhi
AHFE - HSSE 2024
Presented by
Lou Freund, Ph.D.
ISSIP Fellow
Professor Emeritus
San José State University
LEFreund@T-ShapeSolutions.com
Lou Freund's LinkedIn Profile: https://www.linkedin.com/in/louis-freund-05150518/
Recording: https://youtu.be/ZRYY85NxX8I
Slides: https://www.slideshare.net/slideshow/20240526-lou_freund-ahfe_hsse-t-shaped-skills-development-pptx/269349553
Conference: https://ahfe.org/board.html#hsse
ISSIP_Collab_SJSU_2024_Spring
Thank-you to the student team at SJSU for creating my Jim Spohrer AI Digital Twin (version 1) using the HeyGen.com platform
SJSU MIS (Management of Information Systems) Student Team:
Vincent Li (https://www.linkedin.com/in/vincentwli/)
Viola Shao (https://www.linkedin.com/in/viola-shao/)
Bradford Lee (https://www.linkedin.com/in/bradfordblee/)
Vy Nguyen (https://www.linkedin.com/in/vy-nguyen-communication/)
Victor Lin (https://www.linkedin.com/in/victor-lin27/)
Nikhil Bhatia (https://www.linkedin.com/in/nikhilbhatia89 /)
Join us at the Computer History Museum Celebration Friday May 24,2024 10am PT.
Deliverables
SJSU HeyGen English: https://app.heygen.com/share/f9b2e5170c61463e8a30daec60f0f01f
SJSU HeyGen French: https://app.heygen.com/share/dc221eecaf8f47f0a5a36960d51ca617
SJSU Case: https://bradfordbl.github.io
SJSU Whitepaper: https://www.slideshare.net/slideshow/20240515-sjsu-white-paper-revised-ai_digital_twins-pdf/268630197
SJSU_ISSIP_EC_Recording: https://youtu.be/YKSJUFxxAVo
SJSU_ISSIP_EC_Slides: https://www.slideshare.net/slideshow/20240515-issip_collab_sjsu_2024_spring-ai_digital_twins-issip_ec-final-presentation-pptx/268661169
ISSIP Thank-you
JCS Article to Present: https://service-science.info/archives/6612
JCS Training Data: https://youtu.be/DUqPYEp9buQ
JCS How_Made Recording: https://youtu.be/isQmUg_rZH8
JCS How_Made Slides: https://www.slideshare.net/slideshow/sjsu-students-ai-digital-twin-of-jim-spohrer-20240506-v2-pptx/267857304
JCS ISSIP Blog Post: https://issip.org/2024-collab-ai_digital_twins/
ISSIP_Collab_SJSU_2024_Spring
Thank-you to the student team at SJSU for creating my Jim Spohrer AI Digital Twin (version 1) using the HeyGen.com platform
SJSU MIS (Management of Information Systems) Student Team:
Vincent Li (https://www.linkedin.com/in/vincentwli/)
Viola Shao (https://www.linkedin.com/in/viola-shao/)
Bradford Lee (https://www.linkedin.com/in/bradfordblee/)
Vy Nguyen (https://www.linkedin.com/in/vy-nguyen-communication/)
Victor Lin (https://www.linkedin.com/in/victor-lin27/)
Nikhil Bhatia (https://www.linkedin.com/in/nikhilbhatia89 /)
Join us at the Computer History Museum Celebration Friday May 24,2024 10am PT.
Deliverables
SJSU HeyGen English: https://app.heygen.com/share/f9b2e5170c61463e8a30daec60f0f01f
SJSU HeyGen French: https://app.heygen.com/share/dc221eecaf8f47f0a5a36960d51ca617
SJSU Case: https://bradfordbl.github.io
SJSU Whitepaper: TBD
SJSU_ISSIP_EC_Recording: TBD
SJSU_ISSIP_EC_Slides: TBD
ISSIP Thank-you
JCS ISSIP Blog Post: https://issip.org/2024-collab-ai_digital_twins/
JCS Article to Present: https://service-science.info/archives/6612
JCS Training Data: https://youtu.be/DUqPYEp9buQ
JCS How_Made Recording: https://youtu.be/isQmUg_rZH8
JCS How_Made Slides: https://www.slideshare.net/slideshow/sjsu-students-ai-digital-twin-of-jim-spohrer-20240506-v2-pptx/267857304
Authors: By <a href='https://www.linkedin.com/in/bradfordblee/'>Bradford Lee (LI)</a>. <a href='https://www.linkedin.com/in/nikhilbhatia89/'>Nikhil Bhatia (LI)</a>, <a href='https://www.linkedin.com/in/victor-lin27/'>Victor Lin (LI)</a>, <a href='https://www.linkedin.com/in/vincentwli/'>Vincent Li (LI)</a>, <a href='https://www.linkedin.com/in/viola-shao/'>Viola Shao (LI)</a>, <a href='https://www.linkedin.com/in/vy-nguyen-communication/'>Vy Nguyen (LI)</a>.
May 6, 2024
Jim Spohrer (https://www.linkedin.com/in/spohrer/)
Thank-you to the student team at SJSU for creating my AI Digital Twin (version 1) using the HeyGen.com platform
For creating Jim Spohrer’s AI Digital Twin (version 1)
More coming here: https://issip.org/2024-collab-ai_digital_twins/
Also see: https://bradfordbl.github.io
SJSU MIS (Management of Information Systems)
Vincent Li (https://www.linkedin.com/in/vincentwli/)
Viola Shao (https://www.linkedin.com/in/viola-shao/)
Bradford Lee (https://www.linkedin.com/in/bradfordblee/)
Vy Nguyen (https://www.linkedin.com/in/vy-nguyen-communication/)
Victor Lin (https://www.linkedin.com/in/victor-lin27/)
Nikhil Bhatia (https://www.linkedin.com/in/nikhilbhatia89 /)
Training Data: https://youtu.be/DUqPYEp9buQ
Recording: TBD
Slides: TBD
ISSIP_AI_Collab_20240426
DIGITAL TWINS FOR PEOPLE IN BUSINESS AND SOCIETAL ROLES
Sponsor: Jim Spohrer
Advisors: Vittaldas Prabhu, Anshul Balamwar
Alumni Coach: Toni Rae
YouTube Title: 20240525 PSU Spring 2024 AI Digital Twins Pitch Video
ISSIP_AI_Collab (Academic-Industry Collaboration Lab)
PSU_Spring_2024_Team
Topic: AI Digital Twins of People
TITLE: DIGITAL TWINS FOR PEOPLE IN BUSINESS AND SOCIETAL ROLES
Students
Bryn Goldman (https://www.linkedin.com/in/bryn-goldman-penn-state/)
Natalie Grim (https://www.linkedin.com/in/natalie-grim/)
Gonzalo Rambla (https://www.linkedin.com/in/gonzalo-rambla/)
Clare Relihan (https://www.linkedin.com/in/clarerelihan/)
Shakeb Siddiqui (https://www.linkedin.com/in/shakeb-siddiqui/)
Advisors
Prof. Vittal Prabhu - PSU I&SE (https://www.linkedin.com/in/vittalprabhu/)
Anshul Balamwar - Doctoral Candidate (https://www.linkedin.com/in/anshul-balamwar/)
Toni Rae - SAP, Alumni Coach (https://www.linkedin.com/in/tonirae/)
Client
Jim Spohrer - ISSIP (https://www.linkedin.com/in/spohrer/)
ISSIP YouTube Recording: https://youtu.be/YGWCji0WAzA
ISSIP YouTube Recording GitHub Walkthrough: https://youtu.be/ACidQSnhwJs
PSU Learning Factory Recording : https://www.youtube.com/watch?v=i28yoQjc560
GitHub: https://github.com/Shakeb100/IISSIP-DigitalTwins
ISSIP Slideshare Presentation: https://www.slideshare.net/slideshow/20240425-psu-issip-spr-24-final-presentationpptx/267538622
ISSIP Slideshare Whitepaper: https://www.slideshare.net/slideshow/20240425-psuspring2024-aidigitaltwins-aicollab-white-paperpdf/267538710
ISSIP Publications Whitepaper: https://issip.org/learning-center/white-paper/
ISSIP Kickoff Presentation: https://www.slideshare.net/slideshow/20240118-issipcollabpsu-v1-ai-digital-twinspptx/267539877
ISSIP Blog Post: https://issip.org/2024-collab-ai_digital_twins/
ISSIP_Events_20240313
ISSIP Website Event URL:
https://issip.org/event/issip-ambassador-kevin-clark-of-content-revolution-to-kick-off-ambassador-event-panel-series-2024/
Title: Customer Wellness & Fitness - Free ISSIP Webinar
Date: March 13, 2024 (Wednesday)
Speakers:
Kevin Clark - Lead Panelist and ISSIP Ambassador, Founder and President, Content Evolution
https://www.linkedin.com/in/kevin-clark-0057b81/
Martin Vilsøe - US CEO, Implement Consulting Group
https://www.linkedin.com/in/martin-vilsøe-a51981/
Max Turner - SVP emeritus for Market Insights and Research for Bank of America Merrill Lynch
https://www.linkedin.com/in/mackturner/
Abstract:
Customer Wellness & Fitness reveals the major cycles and moments of joy and disappointment in strategic service outsourcing engagements. At the core of this thesis is applying the physician’s Hippocratic Oath to complex service engagements: “To Do No Harm.” Service agreements describing these engagements generally last anywhere from three years to ten years and represent hundreds of millions and at times billions of dollars of revenue over the contract period. We discover the first six months prior to contract signing and the first six months after contract signing represent a critical year. This is when the seeds are sown in the soil of the relationship for sustainable satisfaction and healthy performance or dissatisfaction and interaction illness. Developed diagnostics allow teams to understand if working together is on-track for success or will derail and wither early-on. Starting with inquiry and research for IBM clients and then observations with other enterprises and their clients value chain partners, there are observable patterns contributing to customer wellness and fitness across a constellation of enterprise activities. The good news: Most derailment factors are preventable. The bad news: Organization inertia and inappropriate incentives along with insufficient key performance indicators (KPIs) and service level agreements (SLAs) whether delivered by people or platforms continue to plague strategic relationships.
With support from:
Jim Spohrer - Board of Directors
https://www.linkedin.com/in/spohrer/
Christine Ouyang - Ambassador Leader
https://www.linkedin.com/in/christine-ouyang/
Michele Carroll - Executive Director
https://www.linkedin.com/in/mmcarroll/
Recording: https://youtu.be/W6JqyuXOC8Q
Slides: https://www.slideshare.net/slideshows/20240313-customerwellnessandfitness-issipambassadors-kevinclark-pptx/266786796
Progress_Update_and_BoardOfDirectors_Call
January 31, 2024
Michele Carroll, ISSIP Executive Director
Deb Stokes, ISSIP President
ISSIP Leadership - https://issip.org/issip-leadership/
Agenda
Welcome - Michele Carroll
President’s Welcome - Deb Stokes
-Recognize Outgoing President
-Vision for 2024
ISSIP 2023 in Review
Overall - key metrics - Michele Carroll
Events, Publishing - Jim Spohrer
Awards - Haroon Abbu
Ambassadors - Christine Ouyang
AI Collab Pilot - Debra Satterfield
New in 2024 - Vaishali Mane
- Give. Get. Grow! 2024!
ISSIP Community: Why I Joined, Best in 2023, Priority 2024
Institutional, BOD Members
Closing - Deb Stokes
Recording: https://youtu.be/QH80aMx2kJA
Slides: https://www.slideshare.net/slideshows/20240131-progressupdateboardofdirectorspptx/266018822
20240117 MyTMe - The T-shape metric - ISSIP Workshop 1-17-24.PDF
MyT-Me Your Personal T-Shape Scoring App
ISSIP (https://www.ISSIP.org)
Presented by
Lou Freund, Ph.D.
ISSIP Fellow
Professor Emeritus
San José State University
LEFreund@T-ShapeSolutions.com
For support exploring the platform:
Email: LEFreund@T-ShapeSolutions.com
and/or
Connect on LinkedIn with Pavel Savva (add a message "MyTMe")
Pavel_Savva (https://www.linkedin.com/in/pavelsavva/)
Lou_Freund (https://www.linkedin.com/in/louis-freund-05150518/)
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
2. Types: Internet e-Commerce Networks, Peer-to-Peer
Service/Collaboration networks, Social Networks, Enterprise
(Professionals) Networks, etc.
Examples: e-Bay, healthcare support, Facebook, intranets…
Innovations: e-marketing (customer recommendation,
business chaining, etc.), group activities and special interests,
on-demand business and collaboration…
Technology: data integration, network analysis, clustering
and statistics, personal tasks profiling…
Smartness: Network-Based intelligence; i.e., population
knowledge and personalization application
3. Principle One: Building the Big Data
Integration of person-centered data along the life cycle
of personal tasks and growth from all pertinent sources
Principle Two: Personalizing the Big Data for services
Development of personal service-oriented massive
analytics to support the conduct of the personal life
cycle tasks (Motto: service is the best selling)
Smart Service Value Networks: possessing the ability to
self-develop the Big Data and Massive Analytics for
constantly evolving applications – the innovation
4. Theory One: Scaling the connections up to cover the
entire population (business domain) – Big Data
Theory Two: Scaling the connections down to serve each
person (individuals of the network) – service analytics
Theory Three: Scaling the connections with network
transformation (hyper-networking) – business innovation
All for One and One for All: a moral proposition may be an
ultimate business value proposition – this is the golden rule
for building Big Data and deriving Massive Analytics
5. 1. An ontology and metadata repository for data
integration – the global information resources dictionary
2. An architecture for non-intrusive integration of
massively distributed (Internet) heterogeneous data
sources - the Metadatabase model
3. A core logic for predictive e-marketing analytics (e.g.,
the well-known customer recommendation algorithms
at some e-commerce sites)
A technology platform for developing the Big Data and
Massive Analytics can facilitate service innovation
7. The Network Metadatabase
To other
nodes
To other
nodes
Proxy at
Data Source
Two
Proxy at
Data Source
ThreeProxy at
Data Source
Four
Proxy at
Data Source
One
Mini Metadatabase
8. Similar Customers: 1. determine a set of defining attributes
for “similarity”; 2: compute the similarity indicator, e.g., S-C(i)
= ∑ w(j)a(j) for each customer i, and then group customers
based on this indicator; 3: recommend the additional
products that the similar customers prefer most
Similar Products: use the same logic to develop a basic
algorithm for using similar products S-P(i)
Similar Behaviors: use the same logic to develop an
algorithm from customers-products networking (compute
e.g., rating/purchase indicators and regress them on
attributes, by sub-groups)
Adaptability can be built into the logic to make it “smart”.