We propose some interesting ideas, e.g., small amount of metadata is transmitted to a server in real-time while video content will remain on the device; the server will ping the device when it wants the user to upload the video.
El documento describe el proceso de concurso para contratar obras en el año 20xx, incluyendo las etapas de invitación a participantes, presentación de documentos como cómputos métricos, presupuesto, especificaciones técnicas, cronograma de trabajo y documentación legal por parte de los participantes, y la calificación e informe de recomendación para la adjudicación de los contratos.
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/
Introducing Priberam Labs: Machine Learning and Natural Language ProcessingPriberam
The document introduces Priberam Labs, a research division of Portuguese company Priberam focused on natural language processing and machine learning. It discusses Priberam's history and products. Priberam Labs' goals are to advance the state of the art in NLP and ML, incorporate innovations into new products, and promote academic collaborations. The talk outlines Priberam Labs' research interests such as structured prediction, graphical models, and applications to tasks like part-of-speech tagging.
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/
The document discusses the key components of a database management system (DBMS). It describes the main components as the data definition language (DDL) and data manipulation language (DML) processors, the system catalog, and the query processor. The system catalog contains metadata that defines the database structure. The query processor transforms queries into low-level instructions. The runtime database manager interfaces with users and applications, handles data access, and enforces security and integrity constraints with components like the transaction manager and scheduler. The data manager is responsible for actual data handling with subcomponents like the recovery manager and buffer manager for transferring data between memory and storage.
We propose some interesting ideas, e.g., small amount of metadata is transmitted to a server in real-time while video content will remain on the device; the server will ping the device when it wants the user to upload the video.
El documento describe el proceso de concurso para contratar obras en el año 20xx, incluyendo las etapas de invitación a participantes, presentación de documentos como cómputos métricos, presupuesto, especificaciones técnicas, cronograma de trabajo y documentación legal por parte de los participantes, y la calificación e informe de recomendación para la adjudicación de los contratos.
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/
Introducing Priberam Labs: Machine Learning and Natural Language ProcessingPriberam
The document introduces Priberam Labs, a research division of Portuguese company Priberam focused on natural language processing and machine learning. It discusses Priberam's history and products. Priberam Labs' goals are to advance the state of the art in NLP and ML, incorporate innovations into new products, and promote academic collaborations. The talk outlines Priberam Labs' research interests such as structured prediction, graphical models, and applications to tasks like part-of-speech tagging.
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/
The document discusses the key components of a database management system (DBMS). It describes the main components as the data definition language (DDL) and data manipulation language (DML) processors, the system catalog, and the query processor. The system catalog contains metadata that defines the database structure. The query processor transforms queries into low-level instructions. The runtime database manager interfaces with users and applications, handles data access, and enforces security and integrity constraints with components like the transaction manager and scheduler. The data manager is responsible for actual data handling with subcomponents like the recovery manager and buffer manager for transferring data between memory and storage.