Introduction: Digital Innovation Lead for the Women's and Children's VanguardRichard Harding
The document provides information on Richard Harding's experience with digital innovation and 10 innovations he implemented in 5 minutes. It discusses projects he worked on including providing funding to help leverage over £13 million for an institute and innovation center at Alder Hey Children's Hospital. It also summarizes a STOPandGO project that devised a procurement process to test public procurement of innovation across 7 procurers in 4 countries totaling €17 million. Additional sections cover innovation scouting, events to support collaboration, and digital healthcare platforms and apps.
This document summarizes a presentation by Stephen Docherty, the Chief Information Officer of South London & Maudsley NHS Foundation Trust. It discusses how the IT department has transformed from a "command and control culture" with poor service to becoming more innovative and service-focused. It highlights projects like migrating staff to Office 365 and replacing aging PCs. It also discusses the vision to create an environment bringing together different groups to solve mental health problems through prototypes. Examples of digital prototypes discussed include applications to search patient records and remotely monitor sleep. The presentation ends by discussing sustainability transformation plans and how the King's Health Partnership will support local digital roadmap requirements.
Value Proposition and business strategy: Enabling predictive data-driven Governance for Business Excellence
Global Data Excellence is a Swiss, limited liability Company founded in 2007 by a team of senior Business Excellence and Data Excellence executives with a track record in large corporations and governments. GDE is an ICT product developer. More specifically, it has developed the only Data Excellence Management System (DEMS). GDE imposes a new management paradigm and contest with traditional and widely diffused, but yet insufficient, data management model sustained by ERP, BI, and MDM solutions.
Global Data Excellence (GDE) is a product solutions company providing Data Excellence products operationalizing a holistic thus pragmatic framework to measure the business value of enterprise data and govern the business impact of non-compliant data on business excellence and transactions.
The document discusses delaying gratification and how it relates to life outcomes and success. It then compares the sales and revenue models of on-premises software versus cloud-based software. For on-premises software, there is a larger initial investment but potential for more long-term revenue. Cloud-based software provides slower but smoother revenue growth. Effective sales processes focus on demonstrating real product value to customers rather than just initial perceptions. The conclusion encourages building future sustainable revenue streams rather than focusing only on short-term gains.
This document discusses how data and AI on Azure can help higher education institutions in several key areas:
1) Achieving a consistent hybrid learning experience for students on and off campus through conversational AI and digital learning assistants.
2) Simplifying end-to-end research processes by addressing big data and AI requirements through Azure services like Machine Learning and Cognitive Services.
3) Assessing student digital interactions and results to predict potential wellbeing issues using analytics on Azure.
4) Building an end-to-end Azure Modern Data Platform to drive business insights from various institutional data domains.
The document summarizes the key findings of the 2017 Data Science Survey conducted by Rexer Analytics. The survey received responses from over 1,000 analytic professionals across 91 countries. The survey found that the majority of respondents agree that formal data science training is needed to properly model data. It also found that about one-third of respondents reported difficulties when people at their company used do-it-yourself data tools without proper training. The survey showed that most data scientists use multiple tools for their work, with Python, R, SQL, and Tableau being some of the most commonly used. Deep learning techniques were also increasingly being used, with algorithms like convolutional neural networks being applied successfully across various domains.
Does open science matter at proposal evaluationIvo Grigorov
"Winning Horizon2020 with Open Science" (doi 10.5281/zenodo.12247) brief was integrated in Marie Curie ETNs and Societal Challenge 2 & 5 proposals in order to test whether Open Science can give applicants a competitive edge. These slides offer preliminary extracts from 2015-2016 Evaluation Summary Reports (ESR).
Introduction: Digital Innovation Lead for the Women's and Children's VanguardRichard Harding
The document provides information on Richard Harding's experience with digital innovation and 10 innovations he implemented in 5 minutes. It discusses projects he worked on including providing funding to help leverage over £13 million for an institute and innovation center at Alder Hey Children's Hospital. It also summarizes a STOPandGO project that devised a procurement process to test public procurement of innovation across 7 procurers in 4 countries totaling €17 million. Additional sections cover innovation scouting, events to support collaboration, and digital healthcare platforms and apps.
This document summarizes a presentation by Stephen Docherty, the Chief Information Officer of South London & Maudsley NHS Foundation Trust. It discusses how the IT department has transformed from a "command and control culture" with poor service to becoming more innovative and service-focused. It highlights projects like migrating staff to Office 365 and replacing aging PCs. It also discusses the vision to create an environment bringing together different groups to solve mental health problems through prototypes. Examples of digital prototypes discussed include applications to search patient records and remotely monitor sleep. The presentation ends by discussing sustainability transformation plans and how the King's Health Partnership will support local digital roadmap requirements.
Value Proposition and business strategy: Enabling predictive data-driven Governance for Business Excellence
Global Data Excellence is a Swiss, limited liability Company founded in 2007 by a team of senior Business Excellence and Data Excellence executives with a track record in large corporations and governments. GDE is an ICT product developer. More specifically, it has developed the only Data Excellence Management System (DEMS). GDE imposes a new management paradigm and contest with traditional and widely diffused, but yet insufficient, data management model sustained by ERP, BI, and MDM solutions.
Global Data Excellence (GDE) is a product solutions company providing Data Excellence products operationalizing a holistic thus pragmatic framework to measure the business value of enterprise data and govern the business impact of non-compliant data on business excellence and transactions.
The document discusses delaying gratification and how it relates to life outcomes and success. It then compares the sales and revenue models of on-premises software versus cloud-based software. For on-premises software, there is a larger initial investment but potential for more long-term revenue. Cloud-based software provides slower but smoother revenue growth. Effective sales processes focus on demonstrating real product value to customers rather than just initial perceptions. The conclusion encourages building future sustainable revenue streams rather than focusing only on short-term gains.
This document discusses how data and AI on Azure can help higher education institutions in several key areas:
1) Achieving a consistent hybrid learning experience for students on and off campus through conversational AI and digital learning assistants.
2) Simplifying end-to-end research processes by addressing big data and AI requirements through Azure services like Machine Learning and Cognitive Services.
3) Assessing student digital interactions and results to predict potential wellbeing issues using analytics on Azure.
4) Building an end-to-end Azure Modern Data Platform to drive business insights from various institutional data domains.
The document summarizes the key findings of the 2017 Data Science Survey conducted by Rexer Analytics. The survey received responses from over 1,000 analytic professionals across 91 countries. The survey found that the majority of respondents agree that formal data science training is needed to properly model data. It also found that about one-third of respondents reported difficulties when people at their company used do-it-yourself data tools without proper training. The survey showed that most data scientists use multiple tools for their work, with Python, R, SQL, and Tableau being some of the most commonly used. Deep learning techniques were also increasingly being used, with algorithms like convolutional neural networks being applied successfully across various domains.
Does open science matter at proposal evaluationIvo Grigorov
"Winning Horizon2020 with Open Science" (doi 10.5281/zenodo.12247) brief was integrated in Marie Curie ETNs and Societal Challenge 2 & 5 proposals in order to test whether Open Science can give applicants a competitive edge. These slides offer preliminary extracts from 2015-2016 Evaluation Summary Reports (ESR).
Winning research proposals with open scienceIvo Grigorov
Open Science is now mandated by European Commissions Research Framework Programme Horizon 2020, offering pro-active Open Science practioners to be more competitive at research proposals, with respect to Impact.
The presentation offers evidence that Open Science can support economic growth and innovation, and how to place research proposals in context of political directives that shape Horizon2020 evaluation criteria.
The presentation is based on "Winning Horizon 2020 research proposals with Open Science" http://dx.doi.org/10.5281/zenodo.12247
Herding Cats: User Research Techniques for Standardizing an Organic IntranetGianna Pfister-LaPin
This document outlines a process for standardizing an organic intranet using user research techniques. It begins by introducing the authors and providing background on Mayo Clinic. It then discusses common intranet issues like inconsistent navigation, searchability problems, and a lack of governance. The proposed process involves discovering the problem through user studies, gaining support from leadership, designing and building standardized templates informed by user research, and establishing governance standards and marketing the new approach.
The document discusses best practices for managing data science teams based on lessons learned. It outlines common pitfalls such as solving the wrong problem, having the wrong tools, or results being used incorrectly. Issues include data science being different from software development and forgetting other stakeholders. Recommendations include establishing processes for the full lifecycle from ideation to monitoring, using modular systems thinking, and defining roles like data scientists, managers, and product owners to address organizational challenges. The goal is to deliver measurable, reliable, and scalable insights.
Open Science in Horizon 2020: Can you afford not to?Ivo Grigorov
What is Open Science, why do public research funders care, and how can you as an applicant use it to get ahead of the competition?
Horizon 2020 now mandates that Open Science is part of the Knowledge Transfer and Communication Strategies of each research project in order to support the Innovation Union's ambitions towards research fueled innovation and growth.
The presentation introduces the concept to potential Horizon 2020 applicants.
The work is funded by FP7 FOSTER (www.fosteropenscience.eu).
Open Science by default in Doctoral Schools?Ivo Grigorov
Open Scholarship (Open Science, Open Educational Resources) delivers directly to individual researcher`s objectives for impact and tenure evaluation, to the research institutions` objectives on innovative education and excellence research, so can Graduate Schools afford not to train all future graduates in "Open" practices alongside research excellence?
Research funders are increasingly concerned with measurable socio-economic impact of investment in research, and on increasingly shorter timescales. Innovation, and “open innovation” are the policy priorities of the moment and optimising the flow of ideas along the lab-2-market spectrum is essential for re-use of results, fueling open innovation, and boosting socio-economic impact or public funded research.
The presentation showcases two complimentary strategies that Project Managers can employ pre- and/or post-award in order to optimise the exploitation and impact of research project: passive and active knowledge transfer.
Passive Knowledge Transfer relies on maximum disclosure of research output (other than commercially exploitable research via patents and other IPR) in the interest of optimal reproducibility, independent validation and re-use by both academic and non-academic users, without necessarily targeting specific users. Tools of the
trade include standard public & academic dissemination means (research articles, online media publications, newsletters, generic policy briefs).
Additional transparency of the research workflow can be achieved by integrating “open science” (open notebooks, open data, open research software and open access to research publications) as well as Virtual Research Environments (VREs) in the methodology of the proposed work.
Ensuring that the proposal partners are suitably trained in best practices of open science, makes proposal grant more competitive at evaluation and the resulting maximum access to research outputs does contribute to better return on investment for funders (Beagrie 2016) and economic growth objectives of public s e.g. Blue Growth
(Houghton & Swan 2011, Marine Knowledge 2020 Roadmap).
Active Knowledge Transfer, or the pro-active translation of research into policy or commercial context, is the more classical and better known approach (also referred to as extension services, or researchers providing advice e.g. to fisheries and aquaculture governance bodies and private sector).
Horizon2020 COLUMBUS Consortium proposes and tests a methodology for categorizing the diverse output of research into verifiable “knowledge outputs” , and documenting the execution of an transfer plan to very specific and identified potential users, in order to transfer knowledge along the lab-2-market spectrum.
The presentation will demonstrate how Open Science and detailed knowledge transfer plans complement each other, enhance grant proposal evaluation pre- and post-award, and can address Blue Growth policy objectives.
Concepts presented are developed by FP7/H2020 FOSTER+ (www.fosteropenscience.eu), H2020 COLUMBUS
(www.columbusproject.eu) and H2020 SeaCHANGE (www.seachangeproject.eu)
The document discusses trends in e-learning and strategies that organizations are using to deliver more agile and cost-effective e-learning. It notes that while expenditure by large enterprises still represents most of the e-learning market, demand from small organizations is growing. Surveys found that organizations want to reduce e-learning development costs and timelines. The document then outlines strategies organizations are using, such as outsourcing more e-learning, using rapid development approaches, open source tools, and integrating a range of content like videos and assessments. Case studies of HSBC and C&W are presented to illustrate how organizations are applying these agile e-learning strategies.
Philip Bourne presented on the NIH's Big Data to Knowledge (BD2K) initiative and the Associate Director for Data Science (ADDS) office. The goals of BD2K are to use data science to accelerate biomedical research and enhance health outcomes. BD2K supports various centers, projects, and training programs related to data discovery, standards, cloud computing, sustainability, and workforce development. The ADDS office oversees BD2K and aims to establish a sustainable data science ecosystem and well-trained workforce to enable major scientific discoveries through data-driven research.
This document provides guidance on writing successful data management plans (DMPs). It explains that DMPs are required by many funders to anticipate and avoid data management problems. The document outlines the key sections to include in a DMP, such as data collection, documentation, storage and sharing. It recommends keeping a DMP simple, seeking advice, and ensuring plans are feasible. Tools like DMPOnline can help write DMPs according to different funder requirements.
The document discusses combining inferential statistics with predictive modeling to evaluate changes in a business. It describes the CRISP-DM process model for analytics and highlights key objectives around optimizing analytics processes and adapting to business changes. The presentation provides an overview of the National Consumer Panel, including its data and analytics approach as well as key performance indicators. It also discusses enhancing existing data integration processes and demonstrates the value of analytics through impact examples, such as balancing competing key performance indicators.
This document discusses data democratization in healthcare imaging. It describes the challenges facing healthcare like declining inpatient volumes and the need for better patient experiences. It advocates empowering physicians and patients with data-driven insights to enhance decision making centered around patients. Data democratization is defined as lowering barriers to comprehensive, consistent and reliable healthcare data for all stakeholders. Achieving it requires business model innovation, developing an open ecosystem through community innovation, and technology innovation to provide secure access to standardized data. The benefits include making data actionable to focus on outcomes, value and better patient experiences.
This document summarizes a presentation given by Jim Whiting of Nokia and Steven Ramirez of Beyond the Arc about Nokia's corporate culture integration work following its acquisition of Alcatel-Lucent in 2016. The presentation discusses Nokia's values, approach to culture integration, insights gained from predictive analytics of employee feedback, areas for continued improvement, and the role of Beyond the Arc in providing analytics strategies and solutions.
This document discusses applied data science and machine learning. It begins by introducing the author and then discusses machine learning concepts like learning from data and choosing the best predictive model. It explains that data science is about creating value from data using machine learning, analytics, and visualization. However, many companies struggle to operationalize data science projects and end up with only prototypes instead of production systems. The document outlines three common hurdles - oversimplifying requirements, focusing only on model accuracy instead of practicality, and having insufficient data engineering skills. It advocates for taking a more holistic, business-focused approach to applied data science.
The document discusses LinkedIn Learning's efforts to expand its data science and business analytics course offerings. It outlines LinkedIn's strategy to develop a priority list of 100 new courses covering key concepts, tools, and industries. LinkedIn analyzes data on skills supply and demand from its 500 million users to determine high-growth areas and inform new course development. Some top skills identified include Excel, SQL, Java, Python, and business analysis. The analysis helps LinkedIn prioritize courses to address skills gaps and emerging trends in data science.
DAS UK Carbon Neutral Case Study for Go Green WorkshopGo Green
Helen Gunn, Corporate Social Responsibility Advisor for DAS UK gives us her account of the the process that DAS UK followed in developing their carbon neutrality strategy.
Sheet1 Oral Presentation Rubric1-56-1011-1516-20ClarityNo apparent logical order of presentation, unclear focus Content is loosely connected, transitions lack clarity Sequence of information is well-organized for the most part, but more clarity with transitions is needed Development of thesis is clear through use of specific and appropriate examples; transitions are clear and create a succinct and even flow Presentation LengthGreatly exceeding or falling short of allotted time Exceeding or falling short of allotted time Remained close to the allotted time Presented within the allotted time ContentTopic is unclear and information appears randomly chosen Topic is clear, but supporting information is disconnected Information relates clearly to topic; many relevant points, but they are somewhat unstructured Exceptional use of material that clearly relates to a focused thesis; abundance of various supported materials CreativityDelivery is repetitive with little or no variety in presentation techniques Material presented with little interpretation or originality Some apparent originality displayed through use of original interpretation of presented materials Exceptional originality of presented material and interpretation Speaking SkillsMonotone; speaker seemed uninterested in material Little eye contact; fast speaking rate, little expression, mumbling Clear articulation of ideas, but apparently lacks confidence with material Exceptional confidence with material displayed through poise, clear articulation, eye contact, and enthusiasm Attention to AudienceDid not attemtp to engage audienceLittle attempt to engage audienceEngaged audience and held their attention most of the time by remaining on topic and presenting facts with enthusiasm Engaged audience and held their attention throughout with creative articulation, enthusiasm, and clearly focused presentation
Sheet2
Sheet3
Final Project Document Outline
This outline is to help you start your project. The titles are guidelines defines of what are the needs and help you organize your thought. Feel free to modify by adding and changing titles according to your project.
Abstract
This section should give the reader a short synopsis of the project.
Background
The environment that this project is going to take place.
Is it a Problem or Innovation?
What is the problem for this project? Be succinct in providing the reason that this work should be done-not more than two paragraphs. Is this a solution to a problem that can be solved with technology? Or is this an innovation that can help humanity, business, or non-profit and needs at least one of the modules that we learned in this course. The solution should be an implementable solution, with the existing technology.
SWOT Analysis
SWOT analysis should be done thoroughly. SWOT analysis identifies the immediate issues with or.
This 3-day executive program held in Madrid, Spain from June 27-29, 2016 provides an overview of big data and how organizations can leverage big data to their advantage. The program aims to help participants understand what big data is, how it can benefit organizations, and provide guidance on launching big data initiatives. It covers topics such as big data concepts, real-world use cases, data platforms, data privacy, and the future of big data. The program involves lectures, panel discussions, and group exercises for participants to develop their own big data implementation plans.
Concept Searching, developer of automatic semantic metadata, auto-classification, and taxonomy management, has teamed with WAND, developer of industry and business function specific foundation taxonomies, to make developing, deploying, and using taxonomies simple.
Are your end users disappointed with their search results? Can they find exactly what they need, when they need it, and in the right format?
Learn how to immediately take advantage of unique multi-word concept identification capabilities to rapidly classify unstructured and semi-structured content, aligned with organizational goals and eliminating end user tagging.
This drives improved outcomes in search transparency, information governance, and collaboration across the enterprise, and further refines taxonomies and the SharePoint Term Store.
Understand how to achieve a return on your investment and get your organization’s taxonomies up and running in just two to three weeks.
• The value of this combined offering, set against traditional approaches
• What are foundation taxonomies
• How to rollout taxonomies across an organization
• Ways to manage and change taxonomies
Winning research proposals with open scienceIvo Grigorov
Open Science is now mandated by European Commissions Research Framework Programme Horizon 2020, offering pro-active Open Science practioners to be more competitive at research proposals, with respect to Impact.
The presentation offers evidence that Open Science can support economic growth and innovation, and how to place research proposals in context of political directives that shape Horizon2020 evaluation criteria.
The presentation is based on "Winning Horizon 2020 research proposals with Open Science" http://dx.doi.org/10.5281/zenodo.12247
Herding Cats: User Research Techniques for Standardizing an Organic IntranetGianna Pfister-LaPin
This document outlines a process for standardizing an organic intranet using user research techniques. It begins by introducing the authors and providing background on Mayo Clinic. It then discusses common intranet issues like inconsistent navigation, searchability problems, and a lack of governance. The proposed process involves discovering the problem through user studies, gaining support from leadership, designing and building standardized templates informed by user research, and establishing governance standards and marketing the new approach.
The document discusses best practices for managing data science teams based on lessons learned. It outlines common pitfalls such as solving the wrong problem, having the wrong tools, or results being used incorrectly. Issues include data science being different from software development and forgetting other stakeholders. Recommendations include establishing processes for the full lifecycle from ideation to monitoring, using modular systems thinking, and defining roles like data scientists, managers, and product owners to address organizational challenges. The goal is to deliver measurable, reliable, and scalable insights.
Open Science in Horizon 2020: Can you afford not to?Ivo Grigorov
What is Open Science, why do public research funders care, and how can you as an applicant use it to get ahead of the competition?
Horizon 2020 now mandates that Open Science is part of the Knowledge Transfer and Communication Strategies of each research project in order to support the Innovation Union's ambitions towards research fueled innovation and growth.
The presentation introduces the concept to potential Horizon 2020 applicants.
The work is funded by FP7 FOSTER (www.fosteropenscience.eu).
Open Science by default in Doctoral Schools?Ivo Grigorov
Open Scholarship (Open Science, Open Educational Resources) delivers directly to individual researcher`s objectives for impact and tenure evaluation, to the research institutions` objectives on innovative education and excellence research, so can Graduate Schools afford not to train all future graduates in "Open" practices alongside research excellence?
Research funders are increasingly concerned with measurable socio-economic impact of investment in research, and on increasingly shorter timescales. Innovation, and “open innovation” are the policy priorities of the moment and optimising the flow of ideas along the lab-2-market spectrum is essential for re-use of results, fueling open innovation, and boosting socio-economic impact or public funded research.
The presentation showcases two complimentary strategies that Project Managers can employ pre- and/or post-award in order to optimise the exploitation and impact of research project: passive and active knowledge transfer.
Passive Knowledge Transfer relies on maximum disclosure of research output (other than commercially exploitable research via patents and other IPR) in the interest of optimal reproducibility, independent validation and re-use by both academic and non-academic users, without necessarily targeting specific users. Tools of the
trade include standard public & academic dissemination means (research articles, online media publications, newsletters, generic policy briefs).
Additional transparency of the research workflow can be achieved by integrating “open science” (open notebooks, open data, open research software and open access to research publications) as well as Virtual Research Environments (VREs) in the methodology of the proposed work.
Ensuring that the proposal partners are suitably trained in best practices of open science, makes proposal grant more competitive at evaluation and the resulting maximum access to research outputs does contribute to better return on investment for funders (Beagrie 2016) and economic growth objectives of public s e.g. Blue Growth
(Houghton & Swan 2011, Marine Knowledge 2020 Roadmap).
Active Knowledge Transfer, or the pro-active translation of research into policy or commercial context, is the more classical and better known approach (also referred to as extension services, or researchers providing advice e.g. to fisheries and aquaculture governance bodies and private sector).
Horizon2020 COLUMBUS Consortium proposes and tests a methodology for categorizing the diverse output of research into verifiable “knowledge outputs” , and documenting the execution of an transfer plan to very specific and identified potential users, in order to transfer knowledge along the lab-2-market spectrum.
The presentation will demonstrate how Open Science and detailed knowledge transfer plans complement each other, enhance grant proposal evaluation pre- and post-award, and can address Blue Growth policy objectives.
Concepts presented are developed by FP7/H2020 FOSTER+ (www.fosteropenscience.eu), H2020 COLUMBUS
(www.columbusproject.eu) and H2020 SeaCHANGE (www.seachangeproject.eu)
The document discusses trends in e-learning and strategies that organizations are using to deliver more agile and cost-effective e-learning. It notes that while expenditure by large enterprises still represents most of the e-learning market, demand from small organizations is growing. Surveys found that organizations want to reduce e-learning development costs and timelines. The document then outlines strategies organizations are using, such as outsourcing more e-learning, using rapid development approaches, open source tools, and integrating a range of content like videos and assessments. Case studies of HSBC and C&W are presented to illustrate how organizations are applying these agile e-learning strategies.
Philip Bourne presented on the NIH's Big Data to Knowledge (BD2K) initiative and the Associate Director for Data Science (ADDS) office. The goals of BD2K are to use data science to accelerate biomedical research and enhance health outcomes. BD2K supports various centers, projects, and training programs related to data discovery, standards, cloud computing, sustainability, and workforce development. The ADDS office oversees BD2K and aims to establish a sustainable data science ecosystem and well-trained workforce to enable major scientific discoveries through data-driven research.
This document provides guidance on writing successful data management plans (DMPs). It explains that DMPs are required by many funders to anticipate and avoid data management problems. The document outlines the key sections to include in a DMP, such as data collection, documentation, storage and sharing. It recommends keeping a DMP simple, seeking advice, and ensuring plans are feasible. Tools like DMPOnline can help write DMPs according to different funder requirements.
The document discusses combining inferential statistics with predictive modeling to evaluate changes in a business. It describes the CRISP-DM process model for analytics and highlights key objectives around optimizing analytics processes and adapting to business changes. The presentation provides an overview of the National Consumer Panel, including its data and analytics approach as well as key performance indicators. It also discusses enhancing existing data integration processes and demonstrates the value of analytics through impact examples, such as balancing competing key performance indicators.
This document discusses data democratization in healthcare imaging. It describes the challenges facing healthcare like declining inpatient volumes and the need for better patient experiences. It advocates empowering physicians and patients with data-driven insights to enhance decision making centered around patients. Data democratization is defined as lowering barriers to comprehensive, consistent and reliable healthcare data for all stakeholders. Achieving it requires business model innovation, developing an open ecosystem through community innovation, and technology innovation to provide secure access to standardized data. The benefits include making data actionable to focus on outcomes, value and better patient experiences.
This document summarizes a presentation given by Jim Whiting of Nokia and Steven Ramirez of Beyond the Arc about Nokia's corporate culture integration work following its acquisition of Alcatel-Lucent in 2016. The presentation discusses Nokia's values, approach to culture integration, insights gained from predictive analytics of employee feedback, areas for continued improvement, and the role of Beyond the Arc in providing analytics strategies and solutions.
This document discusses applied data science and machine learning. It begins by introducing the author and then discusses machine learning concepts like learning from data and choosing the best predictive model. It explains that data science is about creating value from data using machine learning, analytics, and visualization. However, many companies struggle to operationalize data science projects and end up with only prototypes instead of production systems. The document outlines three common hurdles - oversimplifying requirements, focusing only on model accuracy instead of practicality, and having insufficient data engineering skills. It advocates for taking a more holistic, business-focused approach to applied data science.
The document discusses LinkedIn Learning's efforts to expand its data science and business analytics course offerings. It outlines LinkedIn's strategy to develop a priority list of 100 new courses covering key concepts, tools, and industries. LinkedIn analyzes data on skills supply and demand from its 500 million users to determine high-growth areas and inform new course development. Some top skills identified include Excel, SQL, Java, Python, and business analysis. The analysis helps LinkedIn prioritize courses to address skills gaps and emerging trends in data science.
DAS UK Carbon Neutral Case Study for Go Green WorkshopGo Green
Helen Gunn, Corporate Social Responsibility Advisor for DAS UK gives us her account of the the process that DAS UK followed in developing their carbon neutrality strategy.
Sheet1 Oral Presentation Rubric1-56-1011-1516-20ClarityNo apparent logical order of presentation, unclear focus Content is loosely connected, transitions lack clarity Sequence of information is well-organized for the most part, but more clarity with transitions is needed Development of thesis is clear through use of specific and appropriate examples; transitions are clear and create a succinct and even flow Presentation LengthGreatly exceeding or falling short of allotted time Exceeding or falling short of allotted time Remained close to the allotted time Presented within the allotted time ContentTopic is unclear and information appears randomly chosen Topic is clear, but supporting information is disconnected Information relates clearly to topic; many relevant points, but they are somewhat unstructured Exceptional use of material that clearly relates to a focused thesis; abundance of various supported materials CreativityDelivery is repetitive with little or no variety in presentation techniques Material presented with little interpretation or originality Some apparent originality displayed through use of original interpretation of presented materials Exceptional originality of presented material and interpretation Speaking SkillsMonotone; speaker seemed uninterested in material Little eye contact; fast speaking rate, little expression, mumbling Clear articulation of ideas, but apparently lacks confidence with material Exceptional confidence with material displayed through poise, clear articulation, eye contact, and enthusiasm Attention to AudienceDid not attemtp to engage audienceLittle attempt to engage audienceEngaged audience and held their attention most of the time by remaining on topic and presenting facts with enthusiasm Engaged audience and held their attention throughout with creative articulation, enthusiasm, and clearly focused presentation
Sheet2
Sheet3
Final Project Document Outline
This outline is to help you start your project. The titles are guidelines defines of what are the needs and help you organize your thought. Feel free to modify by adding and changing titles according to your project.
Abstract
This section should give the reader a short synopsis of the project.
Background
The environment that this project is going to take place.
Is it a Problem or Innovation?
What is the problem for this project? Be succinct in providing the reason that this work should be done-not more than two paragraphs. Is this a solution to a problem that can be solved with technology? Or is this an innovation that can help humanity, business, or non-profit and needs at least one of the modules that we learned in this course. The solution should be an implementable solution, with the existing technology.
SWOT Analysis
SWOT analysis should be done thoroughly. SWOT analysis identifies the immediate issues with or.
This 3-day executive program held in Madrid, Spain from June 27-29, 2016 provides an overview of big data and how organizations can leverage big data to their advantage. The program aims to help participants understand what big data is, how it can benefit organizations, and provide guidance on launching big data initiatives. It covers topics such as big data concepts, real-world use cases, data platforms, data privacy, and the future of big data. The program involves lectures, panel discussions, and group exercises for participants to develop their own big data implementation plans.
Concept Searching, developer of automatic semantic metadata, auto-classification, and taxonomy management, has teamed with WAND, developer of industry and business function specific foundation taxonomies, to make developing, deploying, and using taxonomies simple.
Are your end users disappointed with their search results? Can they find exactly what they need, when they need it, and in the right format?
Learn how to immediately take advantage of unique multi-word concept identification capabilities to rapidly classify unstructured and semi-structured content, aligned with organizational goals and eliminating end user tagging.
This drives improved outcomes in search transparency, information governance, and collaboration across the enterprise, and further refines taxonomies and the SharePoint Term Store.
Understand how to achieve a return on your investment and get your organization’s taxonomies up and running in just two to three weeks.
• The value of this combined offering, set against traditional approaches
• What are foundation taxonomies
• How to rollout taxonomies across an organization
• Ways to manage and change taxonomies
Oracle - How to take control of Product and Service Innovation guide.PDFFrancois Thierart
This document discusses best practices for structured product innovation management. It notes that while innovation is critical for growth, many companies struggle with ineffective processes that result in poor returns on innovation investments. It recommends that companies implement a connected, data-centric approach with digital tools to manage the entire innovation pipeline from idea generation through development and commercialization. This will allow companies to systematically capture and select the right ideas, build business cases, and create a balanced portfolio aligned with strategy. The document outlines five key steps top innovators take including managing ideas from diverse sources, developing requirements, managing concepts and resources, creating investment proposals, and optimizing the portfolio.
BIG DATA IN BUSINESS Implement and use Big Data to your organization’s advantageAurélie Pols
IE Business School - Executive Education
3-Day International Executive Program
June 22-24, 2015, Monday-Wednesday
Madrid, Spain
Session 9: Managing Privacy and Data Governance, a Risk based Approach
Is collaboration the future of business IT? - Patrick Bolger, HornbillSITS - The ITSM Show
To improve IT agility and value, we must change the way we work. Getting closer to customers is hard enough when you’re in the same building, but is tougher still when working across different borders and cultures. Collaboration technologies could provide the answer, but before you consider adoption, this session will help you ask the right questions.
Metadata Management In A Social Media World, Spsbos, 2 2010Christian Buckley
Presentation given at the Feb 27, 2010 SharePoint Saturday event in Boston (Waltham, MA) by Christian Buckley, Senior Product Manager with echoTechnology. The premise of the presentation is that metadata and taxonomy drive the integration and business utility of social media.
An open source methodology called MIKE2.0 provides a framework for information management that can be applied to any project. It uses an online collaborative community and wiki to develop standards for information development. MIKE2.0 aims to create a common industry approach to tackling the growing complexity of information management in an increasingly connected world.
More info, please visit punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
575 presentation slides in total.
115 unique and editable presentation slides design.
5 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
More info, please visit punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
575 presentation slides in total.
115 unique and editable presentation slides design.
5 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
More info, please visit punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
575 presentation slides in total.
115 unique and editable presentation slides design.
5 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
More info, please visit punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
575 presentation slides in total.
115 unique and editable presentation slides design.
5 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
More info, please visit punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
575 presentation slides in total.
115 unique and editable presentation slides design.
5 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
This document is a resume for John Kret, who has over 20 years of experience in information technology, data analysis, and business analysis. He has held roles at Aramark Healthcare Technologies and Ryerson, Inc, where he developed software applications and data warehouses, led teams, and achieved operational savings and increased revenue. He is skilled in Oracle, SQL Server, Crystal Reports and other technologies. He is now seeking a leadership role in an IT department where he can manage projects and business processes.
The document discusses strategies for effective knowledge management. It outlines timeless business principles like increasing productivity and reducing costs. It also discusses identifying, creating, storing, sharing and using knowledge. Modern tools like web portals and semantic technologies can help manage knowledge better and increase productivity of knowledge workers substantially. The key challenges are to share knowledge globally and continuously create and innovate using the best strategies and technologies.
This document provides information about an upcoming webinar on enterprise search technologies from Microsoft and Smartlogic. It includes details on the webinar schedule, speakers, and topics to be covered. The webinar will discuss changing definitions of search, the importance of metadata and taxonomy for search, and how to build powerful search applications.
This document discusses how Life Technologies innovated and optimized their translation processes through the use of cloud technology. It summarizes how they established a cross-functional leadership group to define translation policies and strategies, conducted research to identify translation needs and feasibility, and implemented a cloud-based system to standardize workflows and enable local teams and vendors. This allowed Life Technologies to gain efficiencies, improve processes, and better measure the return on investment of their translation activities.
Similar to Taxonomy boot camp best practices panel Mary Chitty (20)
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
06-18-2024-Princeton Meetup-Introduction to MilvusTimothy Spann
06-18-2024-Princeton Meetup-Introduction to Milvus
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://github.com/milvus-io/milvus
Get Milvused!
https://milvus.io/
Read my Newsletter every week!
https://github.com/tspannhw/FLiPStackWeekly/blob/main/142-17June2024.md
For more cool Unstructured Data, AI and Vector Database videos check out the Milvus vector database videos here
https://www.youtube.com/@MilvusVectorDatabase/videos
Unstructured Data Meetups -
https://www.meetup.com/unstructured-data-meetup-new-york/
https://lu.ma/calendar/manage/cal-VNT79trvj0jS8S7
https://www.meetup.com/pro/unstructureddata/
https://zilliz.com/community/unstructured-data-meetup
https://zilliz.com/event
Twitter/X: https://x.com/milvusio https://x.com/paasdev
LinkedIn: https://www.linkedin.com/company/zilliz/ https://www.linkedin.com/in/timothyspann/
GitHub: https://github.com/milvus-io/milvus https://github.com/tspannhw
Invitation to join Discord: https://discord.com/invite/FjCMmaJng6
Blogs: https://milvusio.medium.com/ https://www.opensourcevectordb.cloud/ https://medium.com/@tspann
Expand LLMs' knowledge by incorporating external data sources into LLMs and your AI applications.
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...Marlon Dumas
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Taxonomy boot camp best practices panel Mary Chitty
1. Taxonomy for
Emerging Technologies:
Mary Chitty, MSLS, Library Director & Taxonomist, Knowledge & Information Services
Cambridge Healthtech, Needham MA | www.healthtech.com
mchitty@healthtech.com 781 972-5416 | www.genomicglossaries.com
TODAY’S SCIENCE FICTION CAN BE TOMORROW’S SCIENCE
A Division of Cambridge Innovation Institute
2. In-house database
taxonomy
Home-grown SQL database
1991 CEO created structure for
keywords – Still involved with
identifying and creating new terms
2011 Major reorganization into 25 top
level categories
2017 Nearly 1,600 concepts and
synonyms
Database 2.0 in planning
Looking into new software options
Public website www.genomicglossaries.com
SharePoint intranet
2015 Company migrated
to SharePoint intranet
2017 Summer Knowledge &
Information Services portal
launched
Developing resources on using and
training about in-house keywords
and database
All very technical complex
terminology
1999 Started as a small glossary based on content from in-house taxonomy
2000 Launched as website
2001 Renamed Glossaries & Taxonomies
June Reviewed by Science magazine – a nice surprise!
MyTaxonomies
3. CaseStudy
Search works best IF:
1. You know what to call what you're looking for AND
2. You know what you're looking for exists.
Often neither one is certain for my topics. So …
1999, created glossaries on DNA and proteins for new market research products.
Really interested in poly-hierarchical and non-hierarchical relationships
-- not easily curated!
2000, when websites were still new, realized this could be a solution to update and
share my terms. This website could be valuable to others.
My company is in the information overload business, but we get overloaded too.
In 2017, major Updates including Ontologies & Taxonomies.
http://www.genomicglossaries.com/content/ontologies.asp
www.GenomicsGlossaries.com
4. Start small
Because you’re going to make changes
Call projects prototype/s or proof/s of concept as long as possible
Break daunting project revisions and updates into small
manageable chunks
Look for quick wins
Maximum effect with limited effort
More complicated projects can
come later
Knowledge and credibility gained by
rapid prototyping
Seek metrics feedback
anywhere and everywhere
Qualitative and quantitative
Google Analytics for usage metrics
Welcome questions and emails
from users
Look for reviews and accolades
BestPractices
to Start
5. Both NIH through the Big Data to Knowledge Program and the
European Commission with Horizon 2020 have allocated
considerable resources to making data FAIRer.
FAIR DATA
FAIR Data Principles, 2017 short with link to long version
https://www.force11.org/group/fairgroup/fairprinciples
FAIR Guiding Principles for scientific data management and
stewardship Sci Data. 2016; 3: 160018. Published online 2016
Mar15. doi: 10.1038/sdata.2016.18
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175/
Opportunities
fortaxonomists
&ontologists
Findable
Accessible
Interoperable
Reusable
6. LessonsLearned
USEFUL INSIGHTS
Take advantage of modularity & reusability. Don’t re-invent the wheel.
Descriptive not prescriptive definitions, if any.
Packaging and labels matter. Taxonomies or ontologies sound sexier than
thesauri or controlled vocabularies
Taxonomies inherently get more and more granular. Keep editing!
REMEMBER
Don't try to boil the ocean.
80/20 rule or the Pareto principal
Focus on 20% of effort with 80% of usage – not the other way around.
Relevance is inherently subjective. What do your users value most?
7. MyOngoing
Challenges
in2017
even after years of experience!
MAINTENANCE AND UPKEEP
Integration
Topics morph in new directions & into new disciplines
Interoperability & reusability
Huge challenges still
Scalability
Balance short term & long term needs & goals
RETURN ON INVESTMENT
Complexity and information overload trade-offs
Out-of-the-Box vs. Configurability vs. Customization
More programming = more $ - Choose software wisely
People can’t buy your products if they don’t know they exist,
or where to find them.
8. TakeHome
Messages
Choose challenging – but not impossible projects.
Look for allies and buy-in to help make sustainable
progress.
Use metrics and feedback to measure progress, so you
know when you've made some.
Share best practices, lessons learned and ongoing
challenges. Acknowledge issues nobody has resolved
yet, so you don't get discouraged.
Focus