The document provides instructions for an activity that involves forming groups, developing ideas for new products or services using provided materials, and then pitching those ideas to others. Participants are instructed to find a partner outside their expertise, generate ideas by filling in blanks on pitch cards using taxonomy cards for ideas and ensuring they use at least one public data source, and then present a 30-second pitch of their best idea. Various tips are provided about moving quickly, repetition being key, and sharing ideas with others. Pitch and taxonomy cards are included as templates to guide the activity.
1) About 48 million people in the US get sick each year from contaminated food, accounting for 1 in 6 people.
2) In 2009, 4,564 children died in motor vehicle crashes.
3) 1 in 12 men are color-blind.
This document provides an overview of health data and information available from the Substance Abuse and Mental Health Services Administration (SAMHSA). It describes SAMHSA's behavioral health treatment locators, the Substance Abuse and Mental Health Data Archive (SAMHDA) which hosts over 400 datasets, and new restricted-use data access tools including the Restricted-use Data Analysis System (R-DAS) and upcoming Data Portal. The goal is to make more SAMHSA data available and support researchers and innovators in developing solutions to issues like substance abuse and suicide prevention.
Health Datapalooza IV: June 3rd-4th, 2013
APPS EXPO LIVE DEMOS
Tuesday June 4, 2013 • 1:30pm - 5:00pm
Location: Ambassador Ballroom
Healthy Communities Institute’s web-based platform, the Healthy Communities Network (HCN),
is available for any community in the United States. The system pulls health data from national,
state, and local sources, and provides dashboards and interactive GIS maps as a front end to
help all stakeholders understand complex health data and see community “risk profiles.” Data
is continuously updated. Promising practices are linked to help people find evidence-based
interventions. HCI’s technology is an end-to-end solution for improving community health and
supports hospitals, health departments and coalitions with IRS 990 requirements, Public Health
Accreditation (PHAB), CHIP, SHIP, MAPP and Collective Impact planning.
Health Datapalooza 2013: Hearing from the Community - Richard MartinHealth Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Hearing from the Community: Where We Are and Where We Would Like to Be
Moderator:
Edward J. Sondik, former Director, National Center for Health Statistics
Speakers:
Georges Benjamin, Executive Director, American Public Health Association (APHA)
Samuel ‘Woodie’ Kessel, Professor, University of Maryland School of Public Health
Patrick Remington, Associate Dean for Public Health, University of Wisconsin School of Medicine and Public Health
Jean Nudelman, Director, Community Benefits Programs, Kaiser Permanente
Donald F. Schwarz, Health Commissioner, Deputy Mayor for Health and Opportunity, City of Philadelphia, Pennsylvania
Afshin Khosravii, Chief Executive Officer, Trilogy Integrated Resources
Richard Martin, Vice President, Heritage Provider Network
This session will focus on advances in the use of health data in developing or implementing new tools that impact local community health. It will explore the data and technology needs of local community health organizations and discuss the challenges they face when attempting to meet these needs. It will also present recommendations from non-data oriented people regarding opportunities in the data and technology fields that could enhance their experience in local community health.
Health Datapalooza IV: June 3rd-4th, 2013
Datalab
Moderator:
Todd Park, Chief Technology Officer, United States
Damon Davis, Health Data Initiative Program Director, Department of Health and Human Services
Speakers:
Susan Queen, Director, Division of Data Policy, Office of the Assistant Secretary for Planning and Evaluation
Steve Cohen, Director, Center for Financing, Access and Cost Trends, Agency for Healthcare Research & Quality
Rick Moser, National Institutes of Health
Victor Lazzaro, Performance & Data Analytics Manager, Office of the National Coordinator for Health IT
Niall Brennan, Director of the Office of Information Products and Data Analytics, Center for Medicare and Medicaid Services
Miya Cain, Office of the Assistant Secretary, Administration for Children and Families, US Department of Health and Human Services
Edward Salsberg, Director, National Center for Health Workforce Analysis, Health Resources and Services Administration
Robert Post, Environmental Protection Agency (EPA)
Eugene Hayes, the Substance Abuse and Mental Health Services Administration (SAMHSA)
Jim Craver, Center for Disease Control and Prevention (CDC)
David Forrest, Senior Advisor, Health and Human Services Office of the Chief Technology Officer
Tania Allard, Director of Intergovernmental Affairs & Special Projects, New York State Department of Health
Steven Edwards, Environmental Protection Agency
Steve Emrick, National Library of Medicine
Carol A. Gotway Crawford, Director of Behavioral Surveillance, Centers for Disease Control
This perennial favorite breakout session is back! This is the best opportunity to meet some of the federal government data experts who champion action in improving public access to information to catalyze innovation. Come learn how to use assets from the Department of Health & Human Services (HHS), the Department of Agriculture (USDA), the Environmental Protection Agency (EPA) and more. Each agency in the federal government is staffed by experts who are well versed in the information resources available from their division on data.gov (administrative data, survey data, research data, medical/scientific content, etc.) The Datalab will also feature opportunities for one-on-one meet-ups with data experts for “deep dives” into agency’s resources. Participants can join live demonstrations and check out new data resources and tools. The goal of the session is to give innovators and entrepreneurs an overview of new, updated, and emerging datasets that can be used to support new applications and services.
This document summarizes tools from the National Library of Medicine (NLM) that can help with meeting requirements for electronic health record (EHR) certification and meaningful use under the HITECH Act. It describes terminology standards and code systems like SNOMED CT, RxNorm, LOINC that are required for meaningful use. It also outlines related NLM resources like the Value Set Authority Center for value sets, MEDLINE Connect for patient education, and APIs for accessing the terminologies and standards.
The document provides information about computational toxicology data resources available from the EPA's Office of Research and Development including the Aggregated Computational Toxicology Resource (ACToR), DSSTox Database, ExpoCast Database, ToxCast Database, ToxRefDB, and Tox21 Collaboration. It also lists exposure data resources such as the Consolidated Human Activity Database (CHAD), Consumer Product Chemical Profiles Database, ExpoCast, and Stochastic Human Exposure and Dose Simulation Model (SHEDS). Finally, it mentions toxicological data shared via the Comparative Toxicogenomics Database (CTD) from the NIEHS.
The Health Data Initiative (HDI) at HHS aims to strategically share health datasets through HealthData.gov to foster innovation, improve data quality, and empower communities through data education and engagement. It works with the NCVHS Work Group and a network of Health Data Leads to promote a culture shift around data access and use, protect privacy, and develop policies to simplify and democratize health data for high-impact issues through challenges, communications, and identifying model use cases.
1) About 48 million people in the US get sick each year from contaminated food, accounting for 1 in 6 people.
2) In 2009, 4,564 children died in motor vehicle crashes.
3) 1 in 12 men are color-blind.
This document provides an overview of health data and information available from the Substance Abuse and Mental Health Services Administration (SAMHSA). It describes SAMHSA's behavioral health treatment locators, the Substance Abuse and Mental Health Data Archive (SAMHDA) which hosts over 400 datasets, and new restricted-use data access tools including the Restricted-use Data Analysis System (R-DAS) and upcoming Data Portal. The goal is to make more SAMHSA data available and support researchers and innovators in developing solutions to issues like substance abuse and suicide prevention.
Health Datapalooza IV: June 3rd-4th, 2013
APPS EXPO LIVE DEMOS
Tuesday June 4, 2013 • 1:30pm - 5:00pm
Location: Ambassador Ballroom
Healthy Communities Institute’s web-based platform, the Healthy Communities Network (HCN),
is available for any community in the United States. The system pulls health data from national,
state, and local sources, and provides dashboards and interactive GIS maps as a front end to
help all stakeholders understand complex health data and see community “risk profiles.” Data
is continuously updated. Promising practices are linked to help people find evidence-based
interventions. HCI’s technology is an end-to-end solution for improving community health and
supports hospitals, health departments and coalitions with IRS 990 requirements, Public Health
Accreditation (PHAB), CHIP, SHIP, MAPP and Collective Impact planning.
Health Datapalooza 2013: Hearing from the Community - Richard MartinHealth Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Hearing from the Community: Where We Are and Where We Would Like to Be
Moderator:
Edward J. Sondik, former Director, National Center for Health Statistics
Speakers:
Georges Benjamin, Executive Director, American Public Health Association (APHA)
Samuel ‘Woodie’ Kessel, Professor, University of Maryland School of Public Health
Patrick Remington, Associate Dean for Public Health, University of Wisconsin School of Medicine and Public Health
Jean Nudelman, Director, Community Benefits Programs, Kaiser Permanente
Donald F. Schwarz, Health Commissioner, Deputy Mayor for Health and Opportunity, City of Philadelphia, Pennsylvania
Afshin Khosravii, Chief Executive Officer, Trilogy Integrated Resources
Richard Martin, Vice President, Heritage Provider Network
This session will focus on advances in the use of health data in developing or implementing new tools that impact local community health. It will explore the data and technology needs of local community health organizations and discuss the challenges they face when attempting to meet these needs. It will also present recommendations from non-data oriented people regarding opportunities in the data and technology fields that could enhance their experience in local community health.
Health Datapalooza IV: June 3rd-4th, 2013
Datalab
Moderator:
Todd Park, Chief Technology Officer, United States
Damon Davis, Health Data Initiative Program Director, Department of Health and Human Services
Speakers:
Susan Queen, Director, Division of Data Policy, Office of the Assistant Secretary for Planning and Evaluation
Steve Cohen, Director, Center for Financing, Access and Cost Trends, Agency for Healthcare Research & Quality
Rick Moser, National Institutes of Health
Victor Lazzaro, Performance & Data Analytics Manager, Office of the National Coordinator for Health IT
Niall Brennan, Director of the Office of Information Products and Data Analytics, Center for Medicare and Medicaid Services
Miya Cain, Office of the Assistant Secretary, Administration for Children and Families, US Department of Health and Human Services
Edward Salsberg, Director, National Center for Health Workforce Analysis, Health Resources and Services Administration
Robert Post, Environmental Protection Agency (EPA)
Eugene Hayes, the Substance Abuse and Mental Health Services Administration (SAMHSA)
Jim Craver, Center for Disease Control and Prevention (CDC)
David Forrest, Senior Advisor, Health and Human Services Office of the Chief Technology Officer
Tania Allard, Director of Intergovernmental Affairs & Special Projects, New York State Department of Health
Steven Edwards, Environmental Protection Agency
Steve Emrick, National Library of Medicine
Carol A. Gotway Crawford, Director of Behavioral Surveillance, Centers for Disease Control
This perennial favorite breakout session is back! This is the best opportunity to meet some of the federal government data experts who champion action in improving public access to information to catalyze innovation. Come learn how to use assets from the Department of Health & Human Services (HHS), the Department of Agriculture (USDA), the Environmental Protection Agency (EPA) and more. Each agency in the federal government is staffed by experts who are well versed in the information resources available from their division on data.gov (administrative data, survey data, research data, medical/scientific content, etc.) The Datalab will also feature opportunities for one-on-one meet-ups with data experts for “deep dives” into agency’s resources. Participants can join live demonstrations and check out new data resources and tools. The goal of the session is to give innovators and entrepreneurs an overview of new, updated, and emerging datasets that can be used to support new applications and services.
This document summarizes tools from the National Library of Medicine (NLM) that can help with meeting requirements for electronic health record (EHR) certification and meaningful use under the HITECH Act. It describes terminology standards and code systems like SNOMED CT, RxNorm, LOINC that are required for meaningful use. It also outlines related NLM resources like the Value Set Authority Center for value sets, MEDLINE Connect for patient education, and APIs for accessing the terminologies and standards.
The document provides information about computational toxicology data resources available from the EPA's Office of Research and Development including the Aggregated Computational Toxicology Resource (ACToR), DSSTox Database, ExpoCast Database, ToxCast Database, ToxRefDB, and Tox21 Collaboration. It also lists exposure data resources such as the Consolidated Human Activity Database (CHAD), Consumer Product Chemical Profiles Database, ExpoCast, and Stochastic Human Exposure and Dose Simulation Model (SHEDS). Finally, it mentions toxicological data shared via the Comparative Toxicogenomics Database (CTD) from the NIEHS.
The Health Data Initiative (HDI) at HHS aims to strategically share health datasets through HealthData.gov to foster innovation, improve data quality, and empower communities through data education and engagement. It works with the NCVHS Work Group and a network of Health Data Leads to promote a culture shift around data access and use, protect privacy, and develop policies to simplify and democratize health data for high-impact issues through challenges, communications, and identifying model use cases.
The document discusses the importance of data for non-profits and provides tips on finding, analyzing, and using different types of data. It explains how to create simple databases and use data for needs assessments, funding applications, evaluations, and determining community priorities. External sources of data are also identified like government agencies and surveys that can help non-profits with their work.
The document discusses business buying behavior and the business buying process. It explains that business buying involves more complex decisions than consumer buying and often multiple people within an organization. The buying process can include initiators who identify the need, users of the product, influencers, deciders, approvers, and buyers. Environmental factors like the economy, materials shortages, and technology can also influence business buying decisions. Business purchases are generally made to support the production of other goods and services.
This document provides an introduction to consumer behavior and its applications. It defines consumer behavior as the study of how individuals, groups, and organizations select, purchase, use, and dispose of products and services. The key points made are:
1) Consumer behavior involves the entire process from pre-purchase research to post-purchase use and disposal.
2) It examines how consumers are influenced by their environment, including culture, family, and media.
3) Studying consumer behavior helps marketers improve their strategies by understanding psychology, decision-making, and how to most effectively reach target consumers.
4) There are four main applications - improving marketing, informing public policy, conducting social marketing, and making consumers more informed decision
TouchPoints Media provides concise 3 sentence summaries:
TouchPoints Media has created a "Lifestyle Value Disk" (LVD) that bundles consumer offerings like entertainment, coupons and promotions. The LVD drives consumers to MyLVD.com, which aggregates these offerings in one place. TouchPoints places LVDs on various delivery vehicles like food products and events to reach consumers, while providing advertisers a way to directly target audiences.
The document discusses how companies can collect marketing information and forecast demand. It describes the components of a marketing information system as including internal company records, marketing intelligence activities, and marketing research. Companies use internal records like sales data as well as marketing intelligence systems to gather external data on trends. The document also discusses factors in the macroenvironment that companies should monitor, such as demographic, economic, sociocultural, technological, and legal trends. It outlines several methods that companies can use to measure and forecast demand, including surveys, sales analysis, and expert opinions.
This document discusses using traditional market segmentation techniques along with first, second, and third party customer data to enhance personalization strategies. It recommends using behavioral and attitudinal data to develop a multidimensional understanding of customer segments beyond just demographics. Combining survey data with behavioral data from multiple sources allows for a better understanding of customer motivations, needs, and competition to inform personalized marketing approaches. Examples show how emotional and attitudinal insights can differentiate customer segments beyond just behaviors to improve targeting and experience design.
A marketing information system consists of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute timely and accurate information to marketing decision makers. It relies on internal records, marketing intelligence, and marketing research. The major responsibility for identifying marketplace changes falls to marketers, who have methods for collecting information and interact with customers. Every firm must organize a continuous flow of information for its marketing managers.
This document provides an overview of data warehousing and data mining. It defines a data warehouse as a centralized repository of integrated data from various sources used to support management decision making. Key characteristics of a data warehouse include being subject-oriented, integrated, non-volatile, and time-variant. The document contrasts operational data with data in a warehouse and discusses components of a data warehouse system like data acquisition, staging areas, and data marts. It also outlines the history and growth of data warehousing and data mining as well as their applications in domains like marketing, finance, fraud detection, and more.
This document discusses data protection challenges in a big data world. It provides examples showing that personal data can be used to accurately identify individuals and deduce sensitive personal details. 72 countries now have data privacy laws aligned with EU standards. Privacy concerns led to a $100 million project by inBloom being shut down. If Google breaches forthcoming EU privacy regulations, it could cost $0.85 billion. The document advocates developing a deep understanding of customer experiences and valuing privacy to build trust and meet privacy obligations. It links data protection, information governance and information quality as important capabilities.
This document provides an overview of key marketing concepts including needs, wants, demand, products, value, satisfaction, exchange, transactions, and markets. It also summarizes the marketing process of planning, analysis, implementation, and control. Finally, it outlines the internal and external environment factors that influence marketing, including demographic, economic, sociocultural, political/legal, technological, and environmental forces.
The document discusses market research methods used by organizations. It defines market research as gathering, recording, and analyzing data about customers, competitors, and the target market. The DECIDE model outlines the market research process, including defining problems, collecting information, identifying alternatives, and evaluating decisions. Information can come from primary sources like surveys or secondary sources like reports. Both methods have advantages and disadvantages for obtaining reliable market intelligence.
Data mining 1 - Introduction (cheat sheet - printable)yesheeka
This document provides an overview of data mining. It discusses why companies perform data mining, including exploiting profitable real-world uses and addressing the "data explosion" problem. The document also outlines the basic process of knowledge discovery in databases (KDD), including data selection, cleaning, transformation, mining algorithms, and presenting/using the discovered knowledge. Several potential applications of data mining are described, such as market analysis, fraud detection, and other domains like astronomy, sports, and the internet.
Entrepreneurship & Early Stages Growth Marketing PlanningDan Taylor
My slides from a guest lecture at Leeds Trinity University, presenting to business students on market analysis, segmentation, and identifying your TAM.
Lightning talk delivered to EDW14 on Data Privacy as an outcome to be achieved through effective data management. Proposed concept of "Value Proposition" as originally defined to be applied to Privacy, with Data Governance and other disciplines being part of the "Value Delivery System" to achieve balanced Key Resulting Experiences.
The document describes a proposed universal discount card called the Universal Savings Card. The card would allow customers to receive discounts at all participating retailers. It would be accessed using magnetic strips like a credit card and track customer purchase data to provide personalized discounts. The company hopes to partner with existing retailers to offer the card as a service and gain customer data insights to benefit both customers and partners.
Writing Paper Fairy Tale By Sandra Naufal TeachersTammy Majors
The document discusses how beauty therapy qualifications in the UK may not fully prepare students for careers in the industry, as only 60% find jobs within 6 months of completing training and just 45% remain employed after 2 years. It examines factors like the economic climate and oversaturation of graduates. The history of training is explored, noting how qualifications have evolved from a standard set of basic skills to more specialized offerings in line with growing treatment options, though some employers remain confused by the changing skills framework.
Medicine ATM is a proposed machine that dispenses prescribed medications using barcodes from hospital-generated prescriptions. It aims to reduce manual labor and improve pharmacist knowledge through software for patient interaction, counseling on drugs and diseases, electronic payment, and displaying patient information and medications when barcodes are scanned. Benefits include increasing drug awareness, reducing pharmacy crowds and wait times, and avoiding medication and error issues while providing cashless access to healthcare.
Adv 206 spring 14 class 9 strat research 2Lucas Spain
Strategic research is an important tool for informing advertising decisions. It provides insights and critical information to support strategic planning. There are different types of research, including secondary, primary, quantitative, qualitative, experimental, and evaluative. Key data sources for research include Simmons Market Research Bureau, Mediamark Research Inc., and MRI+. Research helps identify target audiences and consumer behaviors. The most important outcome of research is consumer insights - surprising and unexpected understandings about consumers. Insights should be the driving force behind advertising strategies and creative concepts.
This document discusses conducting market research and drawing the right conclusions. It covers doing market research through desk research and field research. Desk research involves analyzing published materials, while field research collects new data through surveys, observation, and other techniques. The document provides examples of the types of information needed for market research and discusses analyzing and reporting the results to make informed business decisions.
The document provides guidance on writing business reports. It defines a business report and discusses the scope and purpose of reports. It outlines the typical sections of a report, including an introduction that defines the scope and considers the audience. The main body involves gathering and analyzing information through techniques like PEST, SWOT, internal/external analyses. Reports conclude by determining a solution and organizing the presentation. Analysis is emphasized as the most important part for clarifying thinking and making recommendations.
In May 2014, the Health Care Cost Institute (HCCI) announced a new national health care cost and quality transparency initiative. The initiative is supported by Aetna, Humana, and UnitedHealthcare; other payers will be announced shortly. The presentation will provide background information on HCCI and describe the initial release of the three tier public transparency website that HCCI is developing. Tier 1, the public website, will be launched by 12/31/15 and was the focus of the discussion.
From Research to Practice - New Models for Data-sharing and Collaboration to ...Health Data Consortium
Watch the webinar here: http://encore.meetingbridge.com/MB005418/140528/
Webinar transcript: http://hdc.membershipsoftware.org/Files/webinars/HDC-PwC%20NIH%20&%20PCORI%20Webinar%20Transcript%205_28_14.pdf
Patient-Centered Outcomes Research Institute (PCORI) Executive Director Joe Selby, MD, MPH; National Institutes of Health (NIH) Director and PCORI Board of Governors member Francis Collins, MD, PhD; and NIH Associate Director for Data Science Philip Bourne, PhD discussed new and emerging trends in big data for health, including:
- How researchers, patients, clinicians, and others are forging new models for data-sharing.
- Leveraging the quantity, variety, and analytic potential of health-related data for research and practice.
- Addressing patients’ perspectives, needs, and concerns in creating new opportunities for innovation and translational science.
- Exciting initiatives such as PCORnet, the National Patient-Centered Clinical Research Network initiative that PCORI is now helping to develop, and related open data and technology efforts such - as the NIH Health Systems Collaboratory and Big Data to Knowledge (BD2K) initiative.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
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The document discusses the importance of data for non-profits and provides tips on finding, analyzing, and using different types of data. It explains how to create simple databases and use data for needs assessments, funding applications, evaluations, and determining community priorities. External sources of data are also identified like government agencies and surveys that can help non-profits with their work.
The document discusses business buying behavior and the business buying process. It explains that business buying involves more complex decisions than consumer buying and often multiple people within an organization. The buying process can include initiators who identify the need, users of the product, influencers, deciders, approvers, and buyers. Environmental factors like the economy, materials shortages, and technology can also influence business buying decisions. Business purchases are generally made to support the production of other goods and services.
This document provides an introduction to consumer behavior and its applications. It defines consumer behavior as the study of how individuals, groups, and organizations select, purchase, use, and dispose of products and services. The key points made are:
1) Consumer behavior involves the entire process from pre-purchase research to post-purchase use and disposal.
2) It examines how consumers are influenced by their environment, including culture, family, and media.
3) Studying consumer behavior helps marketers improve their strategies by understanding psychology, decision-making, and how to most effectively reach target consumers.
4) There are four main applications - improving marketing, informing public policy, conducting social marketing, and making consumers more informed decision
TouchPoints Media provides concise 3 sentence summaries:
TouchPoints Media has created a "Lifestyle Value Disk" (LVD) that bundles consumer offerings like entertainment, coupons and promotions. The LVD drives consumers to MyLVD.com, which aggregates these offerings in one place. TouchPoints places LVDs on various delivery vehicles like food products and events to reach consumers, while providing advertisers a way to directly target audiences.
The document discusses how companies can collect marketing information and forecast demand. It describes the components of a marketing information system as including internal company records, marketing intelligence activities, and marketing research. Companies use internal records like sales data as well as marketing intelligence systems to gather external data on trends. The document also discusses factors in the macroenvironment that companies should monitor, such as demographic, economic, sociocultural, technological, and legal trends. It outlines several methods that companies can use to measure and forecast demand, including surveys, sales analysis, and expert opinions.
This document discusses using traditional market segmentation techniques along with first, second, and third party customer data to enhance personalization strategies. It recommends using behavioral and attitudinal data to develop a multidimensional understanding of customer segments beyond just demographics. Combining survey data with behavioral data from multiple sources allows for a better understanding of customer motivations, needs, and competition to inform personalized marketing approaches. Examples show how emotional and attitudinal insights can differentiate customer segments beyond just behaviors to improve targeting and experience design.
A marketing information system consists of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute timely and accurate information to marketing decision makers. It relies on internal records, marketing intelligence, and marketing research. The major responsibility for identifying marketplace changes falls to marketers, who have methods for collecting information and interact with customers. Every firm must organize a continuous flow of information for its marketing managers.
This document provides an overview of data warehousing and data mining. It defines a data warehouse as a centralized repository of integrated data from various sources used to support management decision making. Key characteristics of a data warehouse include being subject-oriented, integrated, non-volatile, and time-variant. The document contrasts operational data with data in a warehouse and discusses components of a data warehouse system like data acquisition, staging areas, and data marts. It also outlines the history and growth of data warehousing and data mining as well as their applications in domains like marketing, finance, fraud detection, and more.
This document discusses data protection challenges in a big data world. It provides examples showing that personal data can be used to accurately identify individuals and deduce sensitive personal details. 72 countries now have data privacy laws aligned with EU standards. Privacy concerns led to a $100 million project by inBloom being shut down. If Google breaches forthcoming EU privacy regulations, it could cost $0.85 billion. The document advocates developing a deep understanding of customer experiences and valuing privacy to build trust and meet privacy obligations. It links data protection, information governance and information quality as important capabilities.
This document provides an overview of key marketing concepts including needs, wants, demand, products, value, satisfaction, exchange, transactions, and markets. It also summarizes the marketing process of planning, analysis, implementation, and control. Finally, it outlines the internal and external environment factors that influence marketing, including demographic, economic, sociocultural, political/legal, technological, and environmental forces.
The document discusses market research methods used by organizations. It defines market research as gathering, recording, and analyzing data about customers, competitors, and the target market. The DECIDE model outlines the market research process, including defining problems, collecting information, identifying alternatives, and evaluating decisions. Information can come from primary sources like surveys or secondary sources like reports. Both methods have advantages and disadvantages for obtaining reliable market intelligence.
Data mining 1 - Introduction (cheat sheet - printable)yesheeka
This document provides an overview of data mining. It discusses why companies perform data mining, including exploiting profitable real-world uses and addressing the "data explosion" problem. The document also outlines the basic process of knowledge discovery in databases (KDD), including data selection, cleaning, transformation, mining algorithms, and presenting/using the discovered knowledge. Several potential applications of data mining are described, such as market analysis, fraud detection, and other domains like astronomy, sports, and the internet.
Entrepreneurship & Early Stages Growth Marketing PlanningDan Taylor
My slides from a guest lecture at Leeds Trinity University, presenting to business students on market analysis, segmentation, and identifying your TAM.
Lightning talk delivered to EDW14 on Data Privacy as an outcome to be achieved through effective data management. Proposed concept of "Value Proposition" as originally defined to be applied to Privacy, with Data Governance and other disciplines being part of the "Value Delivery System" to achieve balanced Key Resulting Experiences.
The document describes a proposed universal discount card called the Universal Savings Card. The card would allow customers to receive discounts at all participating retailers. It would be accessed using magnetic strips like a credit card and track customer purchase data to provide personalized discounts. The company hopes to partner with existing retailers to offer the card as a service and gain customer data insights to benefit both customers and partners.
Writing Paper Fairy Tale By Sandra Naufal TeachersTammy Majors
The document discusses how beauty therapy qualifications in the UK may not fully prepare students for careers in the industry, as only 60% find jobs within 6 months of completing training and just 45% remain employed after 2 years. It examines factors like the economic climate and oversaturation of graduates. The history of training is explored, noting how qualifications have evolved from a standard set of basic skills to more specialized offerings in line with growing treatment options, though some employers remain confused by the changing skills framework.
Medicine ATM is a proposed machine that dispenses prescribed medications using barcodes from hospital-generated prescriptions. It aims to reduce manual labor and improve pharmacist knowledge through software for patient interaction, counseling on drugs and diseases, electronic payment, and displaying patient information and medications when barcodes are scanned. Benefits include increasing drug awareness, reducing pharmacy crowds and wait times, and avoiding medication and error issues while providing cashless access to healthcare.
Adv 206 spring 14 class 9 strat research 2Lucas Spain
Strategic research is an important tool for informing advertising decisions. It provides insights and critical information to support strategic planning. There are different types of research, including secondary, primary, quantitative, qualitative, experimental, and evaluative. Key data sources for research include Simmons Market Research Bureau, Mediamark Research Inc., and MRI+. Research helps identify target audiences and consumer behaviors. The most important outcome of research is consumer insights - surprising and unexpected understandings about consumers. Insights should be the driving force behind advertising strategies and creative concepts.
This document discusses conducting market research and drawing the right conclusions. It covers doing market research through desk research and field research. Desk research involves analyzing published materials, while field research collects new data through surveys, observation, and other techniques. The document provides examples of the types of information needed for market research and discusses analyzing and reporting the results to make informed business decisions.
The document provides guidance on writing business reports. It defines a business report and discusses the scope and purpose of reports. It outlines the typical sections of a report, including an introduction that defines the scope and considers the audience. The main body involves gathering and analyzing information through techniques like PEST, SWOT, internal/external analyses. Reports conclude by determining a solution and organizing the presentation. Analysis is emphasized as the most important part for clarifying thinking and making recommendations.
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In May 2014, the Health Care Cost Institute (HCCI) announced a new national health care cost and quality transparency initiative. The initiative is supported by Aetna, Humana, and UnitedHealthcare; other payers will be announced shortly. The presentation will provide background information on HCCI and describe the initial release of the three tier public transparency website that HCCI is developing. Tier 1, the public website, will be launched by 12/31/15 and was the focus of the discussion.
From Research to Practice - New Models for Data-sharing and Collaboration to ...Health Data Consortium
Watch the webinar here: http://encore.meetingbridge.com/MB005418/140528/
Webinar transcript: http://hdc.membershipsoftware.org/Files/webinars/HDC-PwC%20NIH%20&%20PCORI%20Webinar%20Transcript%205_28_14.pdf
Patient-Centered Outcomes Research Institute (PCORI) Executive Director Joe Selby, MD, MPH; National Institutes of Health (NIH) Director and PCORI Board of Governors member Francis Collins, MD, PhD; and NIH Associate Director for Data Science Philip Bourne, PhD discussed new and emerging trends in big data for health, including:
- How researchers, patients, clinicians, and others are forging new models for data-sharing.
- Leveraging the quantity, variety, and analytic potential of health-related data for research and practice.
- Addressing patients’ perspectives, needs, and concerns in creating new opportunities for innovation and translational science.
- Exciting initiatives such as PCORnet, the National Patient-Centered Clinical Research Network initiative that PCORI is now helping to develop, and related open data and technology efforts such - as the NIH Health Systems Collaboratory and Big Data to Knowledge (BD2K) initiative.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
Addressing Privacy and Security Concerns to Unlock Insights in Big Data in He...Health Data Consortium
Watch the webinar here: http://www.screencast.com/t/6E1ZgTOb
Deven McGraw, Partner at Manatt, Phelps & Phillips, discussed privacy and security concerns in regards to the liberation and usage of health data. There is enormous potential to glean valuable insights from large data sets of health (and health-related) information - but the collection and use of health information for analytics purposes raises privacy and security concerns. Solution of these issues is key to realizing the benefits of health big data. This presentation will focus primarily on some of the regulatory challenges to learning uses of clinical and administrative claims data but also touch on challenges to big data analytics in other contexts (for example, government data and data collected by consumer-facing commercial entities like mobile health apps, social networking sites, search engines, and other personal health tools).
Discover more health data resources on our website at http://www.healthdataconsortium.org/
The HHS Health Data Initiative (HDI) Strategy & Execution Plan with Damon DavisHealth Data Consortium
Watch the webinar here: http://www.screencast.com/t/a43QB5zqjP5
Damon Davis, Director of the Health Data Initiative at the U.S. Department of Health and Human Services, discussed HHS' new Health Data Strategy and Execution Plan. Since the Department of Health and Human Services (HHS) launched its efforts to make the vast array of data resources it curates openly available for public consumption in 2010, the data available in HealthData.gov catalog has grown exponentially. HHS’s efforts to release data for the purpose of sparking innovations in healthcare and the delivery of human services is known as the Health Data Initiative (HDI). The mission of HDI is to help improve health, healthcare, and the delivery of human services by harnessing the power of data and fostering a culture of innovative uses of data in public and private sector institutions, communities, research groups, and policy making arenas.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
Clinical Trial Data Transparency: Explaining Governance for Public Data SharingHealth Data Consortium
Watch the webinar here: http://www.screencast.com/t/0lATKYlJ8
Dr. Chris Boone, then-VP in Avalere’s Evidence Translation and Implementation Practice, discussed clinical trial data transparency and considerations for governance and open data sharing. Clinical trials are extremely valuable as the primary data source for seeking regulatory approval of products. Historically, regulatory agencie have been the sole recipients of clinical trial data, butthere has been a recent push from various stakeholder groups to open access to clinical trial data to non-regulatory researchers as an act of ethical responsibility to patients, a contribution to public health, and a demonstrated commitment to advancing the science. Some of the barriers include developing a sound approach for de-identifying patient data, adopting universal clinical trial data format, and managing the proactive and non-selective access and security of clinical data once collected. Dr. Boone discusses rationales and benefits/risks of clinical trial transparency, responsible use of publicly sharing this data, barriers and legal implications, and reasonable data sharing models.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
You can watch this webinar at: http://www.screencast.com/t/QqEn0CyB
Dr. David Knott and Erica Hutchins Coe from McKinsey & Company examined both current market participants and new entrants including Medicaid health plans, co-ops, and provider sponsored health plans using a database of rate filings for 21,000 plans across 50 states and Washington, DC. View a recording of their presentation to understand where competitors are playing, who is selling what kinds of products and networks, and who is most competitively priced to win.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
Liberating Health Data: What we learned in New York, with Dr. Nirav ShahHealth Data Consortium
The document summarizes a webinar presented by Dr. Nirav Shah, Commissioner of Health for New York State, about liberating health data in New York. Dr. Shah discussed how New York launched a public health data website in 2013, won an award for their efforts, and how the data is helping the state achieve better health outcomes and lower costs. He provided examples of the types of non-sensitive health and wellness data that has been made public, and how it is fueling business opportunities for digital health startups and helping improve population health by identifying issues like sepsis outbreaks. Dr. Shah concluded by sharing lessons learned, such as that patients own their data and privacy is essential, and the value of sharing
The document summarizes data from the Health IT Dashboard regarding adoption and meaningful use of health information technology. It provides details on public use files from the CMS EHR Incentive Programs covering 300,000 providers, including EHR vendor, provider type, and specialty. It also describes a new public use file from Health IT Extension Centers with data on 146,000 providers. Additionally, it mentions planned HITECH obligations data and new comprehensive state health IT summaries that are updated monthly and include over 100 measures.
The National Cancer Institute (NCI) conducts and supports cancer research, including utilizing national survey data. The Division of Cancer Control and Population Sciences (DCCPS) aims to reduce cancer risk, incidence, and mortality, as well as improve quality of life for cancer survivors. DCCPS conducts behavioral, epidemiological, and health services research using major national surveys. These include the National Health Interview Survey, Behavioral Risk Factor Surveillance System, National Health and Nutrition Examination Survey, and Tobacco Use Supplement-Current Population Survey. DCCPS also supports cancer surveillance through the Surveillance, Epidemiology, and End Results program.
This document outlines the roadmap for Healthdata.gov. It describes how Healthdata.gov started as a rushed initial phase 1 project to launch a new portal by June 2013 for an event. It discusses how Healthdata.gov serves 3 audiences (internal publishers, academics/researchers, and developers/entrepreneurs) and aims to achieve 3 speeds (Web 1.0, 2.0 and 3.0) and 3 goals (discovery, programmatic access, and creating "linkages"). The roadmap outlines future phases to simplify publishing, improve search capabilities, focus on APIs, and build a health data marketplace and knowledge graph.
The Rural Health Care Pilot Program provides funding from the Federal Communications Commission to improve telehealth networks in rural areas. The program supports the development of state and regional broadband networks to provide telehealth and telemedicine services for rural health care providers. The FCC website provides data, maps, and code related to the program to promote connectivity for rural health care.
The Health Indicators Warehouse provides aggregated population health data from over 160 sources through approximately 1,200 indicators at the national, state, and local levels. It sources data from federal agencies like CDC and CMS, as well as state sources and associations. The presentation highlighted several major datasets within HIW, including the National Vital Statistics System, National Health Interview Survey, National Health and Nutrition Examination Survey, and National Ambulatory Medical Care Survey. These provide a wide range of health metrics from vital events and causes of death to health behaviors, conditions, examinations, and medical care usage.
Health Datapalooza 2013: HDC Affiliates Apps Demos - Involution Studios hGraphHealth Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
HEALTH DATA CONSORTIUM AFFILIATES APP DEMOS
Monday June 3, 2013 • 4:30pm - 5:30pm
Location: Regency Ballroom
Moderator: Sunnie Southern, Founder and Chief Executive Officer, Viable Synergy, LLC; Ohio Health Data Affiliate
hGraph is an open source information visualization which provides a complete overview of an
individual’s health from an aggregated, high-level “how am I doing” status to detailed, metriclevel results and analysis. This single picture method can have a profound effect on a person’s
understanding of his/her total well-being, because it compiles multiple metrics and inputs into a
unified graph that can be viewed at a glance.
Health Datapalooza IV: June 3rd-4th, 2013
Linked Data – Structured Data on the Web
Moderator:
David Wood, Chief Technology Officer, 3 Round Stones
Speaker:
Bernadette Hyland, Chief Executive Officer, 3 Round Stones
Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. Find out what Linked Data is all about from Bernadette Hyland and David Wood from 3 Round Stones, who will present the Linked Data mode in plain, jargon-free language while provide an example of how Linked Data is being used by Sentara Healthcare to combine authoritative open government data with user entered information to providing personalized guidance for patients suffering from asthma, diabetes and heart disease.
Health Datapalooza IV: June 3rd-4th, 2013
Cooperation Without Coordination: Managed Distributed Clinical Trial Data
Moderator:
Bernadette Hyland, Chief Executive Officer, 3 Round Stones
Speaker:
David Wood, Chief Technology Officer, 3 Round Stones
Sivaram Arabandi, Clinical Informatician, Ontopro
Tom Plasterer, Principal Informatics Scientist, AstraZeneca
A challenge common among many healthcare organizations is to relate the detailed outcomes of external data, e.g., clinical trials, to their own research. Learn how Linked Data techniques were developed for the Web and allow for “cooperation without coordination”. This presentation will describe how 3 Round Stones and an international pharmaceutical company created a system to allow coordinated views of distributed clinical trial information. The system extended the Callimachus Project, an Open Source Linked Data management system.
Health Datapalooza 2013: Hearing from the Community - Jean NudelmanHealth Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Hearing from the Community: Where We Are and Where We Would Like to Be
Moderator:
Edward J. Sondik, former Director, National Center for Health Statistics
Speakers:
Georges Benjamin, Executive Director, American Public Health Association (APHA)
Samuel ‘Woodie’ Kessel, Professor, University of Maryland School of Public Health
Patrick Remington, Associate Dean for Public Health, University of Wisconsin School of Medicine and Public Health
Jean Nudelman, Director, Community Benefits Programs, Kaiser Permanente
Donald F. Schwarz, Health Commissioner, Deputy Mayor for Health and Opportunity, City of Philadelphia, Pennsylvania
Afshin Khosravii, Chief Executive Officer, Trilogy Integrated Resources
Richard Martin, Vice President, Heritage Provider Network
This session will focus on advances in the use of health data in developing or implementing new tools that impact local community health. It will explore the data and technology needs of local community health organizations and discuss the challenges they face when attempting to meet these needs. It will also present recommendations from non-data oriented people regarding opportunities in the data and technology fields that could enhance their experience in local community health.
Health Datapalooza IV: June 3rd-4th, 2013
Closing Session
Gather to share insights with Health Datapalooza organizers and to establish future pathways for progress in efforts to liberate health data. Health Code-a-palooza and Apps Finalists will also be announced.
Speakers:
Bob Kocher, Planning Committee Co-Chair, Health Datapalooza; Venture Partner, Venrock
Steven Krein, Planning Committee Co-Chair, Health Datapalooza; Co-Founder and Chief Executive Officer, StartUp Health
Dwayne Spradlin, Chief Executive Officer, Health Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Data Rich, Data Poor: Leveling the Open Data Playing Field for Local and State Governments
Moderator:
Andrew Krackov, Senior Program Officer, Market & Policy Monitor, California Health Care Foundation
Speakers:
Nirav Shah, Commissioner of Health, New York State Department of Health
Ted Smith, Director, Department of Economic Growth and Innovation, Louisville Metro Government
Mark Headd, Chief Data Officer, City of Philadelphia
Abhi Nemani, Chief of Staff, Code for America
John Bracken, Director of Media Innovation, Knight Foundation
Some state and local jurisdictions are further along than others in effectively using health data – both in providing public access to data and in ensuring use of these data by policymakers, health care consumers, advocacy organizations, start-ups, and others. This session will feature local and state leaders in open data for a candid discussion of successes and lessons learned with open data. Panelists will share ideas for how other local communities can free their public domain health data and supply recommendations for what’s needed to help ensure that government entities across America can publish, promulgate, and encourage broad use of local health data.
Health Datapalooza 2013: Health Data Consortium Affiliates - Sunnie Southern,...Health Data Consortium
The document discusses the Health Data Consortium Affiliate Panel which focuses on igniting the use of health data in local communities. The panelists represent affiliates from Colorado, Louisiana, New York, and Ohio that are working to promote open health data use. The affiliates aim to inspire innovation, catalyze local programs, share best practices, and coordinate efforts to transform health and healthcare through greater health data utilization. The Health Data Consortium seeks to establish an ecosystem and accelerate benefits by years through the affiliates program and advocacy.
Health Datapalooza IV: June 3rd-4th, 2013
Datalab
Moderator:
Todd Park, Chief Technology Officer, United States
Damon Davis, Health Data Initiative Program Director, Department of Health and Human Services
Speakers:
Susan Queen, Director, Division of Data Policy, Office of the Assistant Secretary for Planning and Evaluation
Steve Cohen, Director, Center for Financing, Access and Cost Trends, Agency for Healthcare Research & Quality
Rick Moser, National Institutes of Health
Victor Lazzaro, Performance & Data Analytics Manager, Office of the National Coordinator for Health IT
Niall Brennan, Director of the Office of Information Products and Data Analytics, Center for Medicare and Medicaid Services
Miya Cain, Office of the Assistant Secretary, Administration for Children and Families, US Department of Health and Human Services
Edward Salsberg, Director, National Center for Health Workforce Analysis, Health Resources and Services Administration
Robert Post, Environmental Protection Agency (EPA)
Eugene Hayes, the Substance Abuse and Mental Health Services Administration (SAMHSA)
Jim Craver, Center for Disease Control and Prevention (CDC)
David Forrest, Senior Advisor, Health and Human Services Office of the Chief Technology Officer
Tania Allard, Director of Intergovernmental Affairs & Special Projects, New York State Department of Health
Steven Edwards, Environmental Protection Agency
Steve Emrick, National Library of Medicine
Carol A. Gotway Crawford, Director of Behavioral Surveillance, Centers for Disease Control
This perennial favorite breakout session is back! This is the best opportunity to meet some of the federal government data experts who champion action in improving public access to information to catalyze innovation. Come learn how to use assets from the Department of Health & Human Services (HHS), the Department of Agriculture (USDA), the Environmental Protection Agency (EPA) and more. Each agency in the federal government is staffed by experts who are well versed in the information resources available from their division on data.gov (administrative data, survey data, research data, medical/scientific content, etc.) The Datalab will also feature opportunities for one-on-one meet-ups with data experts for “deep dives” into agency’s resources. Participants can join live demonstrations and check out new data resources and tools. The goal of the session is to give innovators and entrepreneurs an overview of new, updated, and emerging datasets that can be used to support new applications and services.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
1. INSTRUCTIONS
1 – Find a Group
Find a friend, or better yet someone you would never typically work with – ideally
folks completely outside your expertise and even comfort.
Pro Tip: Make sure they’re fun.
2 – Play the Game
Create some Pitch Cards, Mad-Libs style. Fill in the blanks and use the Taxonomy
Cards for ideas. Find a “White Hat” to help and pick their brain. Now put together a
pitch and make it your own (be able to speak to it and answer questions).
(Note: you must use at least one source from Public Data.)
Pro Tip: Go fast and do a bunch of these – the key is repetition.
3 – Make Your Pitch
Use your Pitch Cards as notes. Sort through them and find the best. When we start
the ‘sharing’ portion, send a representative to make a 30-second pitch to the world.
Pro Tip: Sharing is key – we want to hear what you’ve come up with – and don’t mind
the “Judges,” they’re here to ask questions and push us.
2. PITCH CARD
Our idea is: _________________________________________
It’s a ______________________ Product…
for the ______________________ Market.
It addresses the ______________________ Business Need…
for the ______________________ Population …
in the ______________________ Segment.
It will use ______________________ for Source Data
and ______________________ as Measurement Data…
specifically Public Data from ______________________ .
We’ll have to watch out for ______________________ Barriers…
but we’ll have ______________________ as Competitive Advantages.
3. PITCH CARD
Our idea is: _________________________________________
It’s a ______________________ Product…
for the ______________________ Market.
It addresses the ______________________ Business Need…
for the ______________________ Population …
in the ______________________ Segment.
It will use ______________________ for Source Data
and ______________________ as Measurement Data…
specifically Public Data from ______________________ .
We’ll have to watch out for ______________________ Barriers…
but we’ll have ______________________ as Competitive Advantages.
42. TAXONOMY CARD: Measurement Data
Bio-Metric / Device
(Blood Glucose Meter, GPS Running Watch,
Old-Timey Strength Meter, Carnival Love Meter)
43. TAXONOMY CARD: Measurement Data
Commercially Available Profiles
(Credit Card, Magazine/Catalog Subscriptions,
Mailing List, Political Donor Registry,
Drug/Pharma Medical Supply Registries,
Internet Registries, Etc.)
56. TAXONOMY CARD: Public Data
CMS Provider Charge Data
http://www.cms.gov/Research-Statistics-Data-and-
Systems/Statistics-Trends-and-Reports/Medicare-
Provider-Charge-Data/index.html
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
57. TAXONOMY CARD: Public Data
CMS Performance / STAR Data
http://www.cms.gov/PrescriptionDrugCovGenIn/06_Perfor
manceData.asp
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
58. TAXONOMY CARD: Public Data
CMS Part B National Summary
http://opengovdata.pbworks.com/Part-B-National-
Summary-Data-File
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
59. TAXONOMY CARD: Public Data
Nursing Home Compare (CMS)
http://opengovdata.pbworks.com/Nursing-Home-Compare
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
60. TAXONOMY CARD: Public Data
Hospital Quality Compare (CMS/HQA)
http://hospitalcompare.hhs.gov/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
61. TAXONOMY CARD: Public Data
Consumer Assessment of Healthcare Providers
and Systems (CAHPS)
https://www.cahps.ahrq.gov/default.asp
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
62. TAXONOMY CARD: Public Data
CMS Cost Report (HCRIS)
http://opengovdata.pbworks.com/Centers-for-Medicare-
and-Medicaid-Services-Cost-Report-Data
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
63. TAXONOMY CARD: Public Data
Health Indicators Warehouse (HIW)
http://healthindicators.gov/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
64. TAXONOMY CARD: Public Data
Dartmouth Atlas for Unwarranted Variation
http://www.dartmouthatlas.org/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
65. TAXONOMY CARD: Public Data
Community Health Status Indicators (HHS)
http://www.communityhealth.hhs.gov/homepage.aspx?j=1
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
66. TAXONOMY CARD: Public Data
County Health Rankings & Roadmaps
http://www.countyhealthrankings.org/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
67. TAXONOMY CARD: Public Data
Robert Wood Johnson Foundation Aligning Forces
for Quality (AF4Q)
http://www.rwjf.org/qualityequality/af4q/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
68. TAXONOMY CARD: Public Data
DATA 2010 (Health Promotion Statistics at the National
Center for Health Statistics - Healthy People 2010)
http://opengovdata.pbworks.com/DATA2010
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
69. TAXONOMY CARD: Public Data
Food Desert
http://www.ers.usda.gov/data/fooddesert/fooddesert.html
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
70. TAXONOMY CARD: Public Data
Shortage Designation: Health Professional Shortage
Areas & Medically Underserved Areas/Populations
http://bhpr.hrsa.gov/shortage/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
71. TAXONOMY CARD: Public Data
Behavioral Risk Factor Surveillance System (CDC)
http://www.cdc.gov/brfss/
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
72. TAXONOMY CARD: Public Data
National Committee for Quality Assurance (NCQA)
HEDIS and Quality Measurement
http://www.ncqa.org/tabid/177/Default.aspx
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
73. TAXONOMY CARD: Public Data
National Plan and Provider Enumeration System (NPI)
http://nppes.viva-it.com/NPI_Files.html
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
74. TAXONOMY CARD: Public Data
Supplemental Nutrition Assistance Program Participation
and Cost (SNAP)
http://opengovdata.pbworks.com/Supplemental-Nutrition-
Assistance-Program-Participation-and-Cost-Data
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
75. TAXONOMY CARD: Public Data
Substance Abuse Treatment Episodes (N-SSATS)
http://opengovdata.pbworks.com/National-Survey-of-
Substance-Abuse-Treatment-Services
Note: Make sure to check Level, Grain, Time and other Elements & Attributes to
make sure this will serve the intended use (contract/county, procedure codes, etc.)
76. TAXONOMY CARD: Public Data
Etc.
(What are some other sources for Great Public Data?)
90. TAXONOMY CARD: Source Data
Bio-Metric / Device
(Blood Glucose Meter, GPS Running Watch,
Old-Timey Strength Meter, Carnival Love Meter)
91. TAXONOMY CARD: Source Data
Commercially Available Profiles
(Credit Card, Magazine/Catalog Subscriptions,
Mailing List, Political Donor Registry,
Drug/Pharma Medical Supply Registries,
Internet Registries, Etc.)