Proficient in Information System Design used to the development of Business Intelligence Platforms and Semantic Web Ontologies. With experience in the benefits of the knowledge extraction by integrating LinkedData Technologies and OpenData Sources.
MIT Supply Chain Management Director Bruce Arntzen discusses risk visualization and Sourcemap [Video]
How does a company keep tabs on thousands of suppliers? That’s the question Bruce Arntzen tried to answer when he started the Hi-Viz Research Project. As Executive Director of MIT’s Supply Chain Management Program, Arntzen works with corporations to find innovative solutions to supply chain problems. The idea for the Hi-Viz project came during a 2011 meeting of the Supply Chain Risk Leadership Council. A survey of attendees listed Supply Chain Visibility as the top concern. Why? With thousands of suppliers and sub-suppliers, it can be very time-consuming to find the weakest link in a supply chain. Arntzen’s solution: an automatic visualization of the end-to-end supply chain where the weakest links could be seen in real time. Watch his interview to learn how MIT and Sourcemap developed the first automated risk visualization [more details below the fold].
In 2015, the Hi-Viz project is partnering with actuarial data providers to provide predictive risk analytics. Sourcemap is making available inventory risk mapping as part of its enterprise software-as-a-service. Want to get involved? Learn more about the Hi-Viz project, or contact Sourcemap for a demo.
"If we see descriptive analytics as the foundation of Business Intelligence and we see predictive analytics as the basis of Big Data, than we can state that prescriptive analytics will be the future of Big Data."
BabelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms in 50 languages, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of more than 9 million entries.
El corazón es el órgano muscular principal del aparato circulatorio en todos los animales que poseen un sistema circulatorio.
ID: 00043383n | Concept
afección, afectividad, afecto, corazón
Philia, Phil-, es un antiguo término griego para referirse al amor fraterno, incluyendo amistad y afecto.
ID: 00001744n | Concept
centro, corazón, enjundia
Lo que realmente le sobra a Antonio y a Laura, vecinos TOP La palabra esencia proviene del latín essentia que a su vez proviene del infinitivo del verbo latino esse, ser = existir, cuyo participio ens es el ente como ser que existe.
ID: 00017124n | Concept
amado, amor, cariño, corazón
A beloved person; used as terms of endearment
ID: 00009819n | Concept
Corazón: Diario de un niño, Corazón (novela)
Corazón: Diario de un niño es una obra literaria escrita por el autor italiano Edmundo de Amicis en 1886.
ID: 03176635n | Named Entity
Corazón (programa de televisión)
Corazón es un programa de televisión emitido por la cadena española La 1 de Televisión Española.
Below is a glossary of words, concepts and tools that have been important to the R&D Fund projects so far. 10 Basic Terms Software is the general name for the programs and other operating information that run on a computer or device. Hardware is the general name for any of the physical components of a...
"The 5 stars system is a really simple way to target perhaps the 5 most important problems in data today:
Open licenceOpen access (not lost)Structured (i.e. not PDF, scans or even messy spreadsheets)Open file format (i.e. open source libraries are available and are reliable)Shared schemas & codelists (well, if you boil down what 4 and 5 really gives you)"
En el marco de transformación de muchas ciudades en Smart Cities o ciudades inteligentes, los ciudadanos tienen cada vez más un rol más activo en dicho desarrollo. Durante el Smart City Expo World Congress, el encuentro mundial sobre ciudades inteligentes celebrado la pasada semana en Barcelona, tuvo lugar la conferencia ‘Participation and the role of green and open spaces in cities’. Durante el encuentro varias ciudades y proyectos estuvieron representados, con el objetivo de analizar y realzar el papel del ciudadano en las nuevas ciudades. En ella se dieron a conocer numerosas e interesantes iniciativas sobre espacios abiertos lanzadas en ciudades como Bombay, Montreal, Eindhoven o Manhattan.
"La norma UNE 178301 Ciudades Inteligentes. Datos Abiertos (OPEN DATA), es la primera norma que establece un conjunto de requisitos, para la reutilización de Datos Abiertos u Open Data elaborados o custodiados por el sector público, en el ámbito de las Ciudades Inteligentes.
La UNE 178301 facilita la reutilización de los datos elaborados o custodiados por el sector público (open data) a los beneficiarios de esa información, como son las empresas proveedoras de servicios públicos o los ciudadanos, teniendo en consideración la aplicación de la ley de protección de datos de carácter personal. "
"Ellen Broad, policy lead at the Open Data Institute (ODI), said in a submission to the UK consultation earlier this month the new rules were a "backwards step" for the government because they went contrary to its open data policy."
"The goal of these surveys was to gather first cut information about whether the private sector in emerging countries has begun to produce open data-driven companies, and if yes, whether these companies face financing-related challenges. "
"It’s not all ‘Moneyball’ and to hope that data scientists alone will help solve talent challenges is naïve. Data-based insights can only act as indicators by themselves. Domain experts like hiring managers, HR professionals, and recruiters involved must be able to identify the problem and ask the right questions before applying analytics."
By W. Brian Arthur; External Professor, Santa Fe Institute; Visiting Researcher, Palo Alto Research Center.
Economics is a stately subject, one that has altered little since its modern foundations were laid in Victorian times. Now it is changing radically. Standard economics is suddenly being challenged by a number of new approaches: behavioral economics, neuroeconomics, new institutional economics. One of the new approaches came to life at the Santa Fe Institute: complexity economics.
Complexity economics got its start in 1987 when a now-famous conference of scientists and economists convened by physicist Philip Anderson and economist Kenneth Arrow met to discuss the economy as an evolving complex system. That conference gave birth a year later to the Institute’s first research program – the Economy as an Evolving Complex System – and I was asked to lead this. That program in turn has gone on to lay down a new and different way to look at the economy.
"Where does complexity economics find itself now? Certainly, many commentators see it as steadily moving toward the center of economics. And there’s a recognition that it is more than a new set of methods or theories: it is a different way to see the economy. It views the economy not as machine-like, perfectly rational, and essentially static, but as organic, always exploring, and always evolving – always constructing itself."
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