Samples pages of a title that I performed the layout on from a series published by ReferencePoint Press.
Contact me through my LinkedIn profile at https://www.linkedin.com/in/joeparenteau1
Samples pages of a title that I performed the layout on from a series published by ReferencePoint Press.
Contact me through my LinkedIn profile at https://www.linkedin.com/in/joeparenteau1
Fallo completo de la Corte Suprema de Justicia de la NaciónRicardo Montacuto
La Corte analiza conjuntamente el Recurso ordinario y el recurso de hecho articulado, y declara procedente el recurso ordinario interpuesto por el Estado Nacional, revoca el pronunciamiento, rechaza la demanda y ordena el desalojo del actor del terreno en cuestión; e inoficioso expedirse respecto del recurso extraordinario interpuesto por el Estado Nacional y del recurso de queja interpuesto por la Universidad Nacional de Cuyo (V. 497.XLII RHE). El recurrente invocó arbitrariedad en la sentencia apelada.
Samples pages of a title that I performed the layout on from a series published by ReferencePoint Press.
Contact me through my LinkedIn profile at https://www.linkedin.com/in/joeparenteau1
Extreme Manufacturing Solutions
Operations Performance Analytics (OPA)
Business alignment - Over time, the proliferation of devices has created unnecessary complexity. Control Center delivers centralized visibility and granular control of network resources. One click can equal a thousand actions when you manage your network. Control Center can even manage beyond Extreme Networks switching, routing, and wireless hardware to deliver standards-based control of other vendors’ network equipment.
Pairing assets with intelligent sensors to gather, analyze, and communicate data is driving enormous new efficiencies in manufacturing and business operations. Just as in the consumer markets, where the first generation of personal fitness monitors and smart home devices leverage data sets to influence and shape events in the physical world, so too are operational efficiencies borne by the Internet of Things (IoT) generating high returns in manufacturing.
According to McKinsey, “business-to-business applications will account for nearly 70 percent of the value … from IoT in the next ten years.” The firm estimates that of the nearly $11 trillion a year in economic value generated globally, ‘nearly $5 trillion [will] be generated almost exclusively in B2B settings, including factories… such as those in manufacturing, agriculture, and even healthcare environments; work sites across mining, oil and gas, and construction; and, finally, offices.’
More informed decision-making and optimized operations across the extended supply chain are only some of the benefits. Wireless sensors, whether measuring hydrogen levels in the soil or temperature variables on the production line, are eliminating blind spots in traditional manufacturing processes and delivering a constant flow of data that optimize workflows. And while manufacturers have leveraged data in discrete applications for Manufacturing Execution Systems (MES) and Enterprise Manufacturing Intelligence (EMI) systems for years, the growth of sensors, real-time dashboards, cloud-applications, and mobile technologies are delivering new degrees of actionable intelligence to the precise location at the precise time it can be optimally leveraged.
Yet this goal of seamlessly moving data across plant and business functions, and applying analytical tools to enable new insights, requires a new degree of visibility into the performance of manufacturing applications, networks, and systems. Traditionally monitoring tools used in factory environments are often isolated, closed, proprietary, and offer only a keyhole view of IT system performance.
Fallo completo de la Corte Suprema de Justicia de la NaciónRicardo Montacuto
La Corte analiza conjuntamente el Recurso ordinario y el recurso de hecho articulado, y declara procedente el recurso ordinario interpuesto por el Estado Nacional, revoca el pronunciamiento, rechaza la demanda y ordena el desalojo del actor del terreno en cuestión; e inoficioso expedirse respecto del recurso extraordinario interpuesto por el Estado Nacional y del recurso de queja interpuesto por la Universidad Nacional de Cuyo (V. 497.XLII RHE). El recurrente invocó arbitrariedad en la sentencia apelada.
Samples pages of a title that I performed the layout on from a series published by ReferencePoint Press.
Contact me through my LinkedIn profile at https://www.linkedin.com/in/joeparenteau1
Extreme Manufacturing Solutions
Operations Performance Analytics (OPA)
Business alignment - Over time, the proliferation of devices has created unnecessary complexity. Control Center delivers centralized visibility and granular control of network resources. One click can equal a thousand actions when you manage your network. Control Center can even manage beyond Extreme Networks switching, routing, and wireless hardware to deliver standards-based control of other vendors’ network equipment.
Pairing assets with intelligent sensors to gather, analyze, and communicate data is driving enormous new efficiencies in manufacturing and business operations. Just as in the consumer markets, where the first generation of personal fitness monitors and smart home devices leverage data sets to influence and shape events in the physical world, so too are operational efficiencies borne by the Internet of Things (IoT) generating high returns in manufacturing.
According to McKinsey, “business-to-business applications will account for nearly 70 percent of the value … from IoT in the next ten years.” The firm estimates that of the nearly $11 trillion a year in economic value generated globally, ‘nearly $5 trillion [will] be generated almost exclusively in B2B settings, including factories… such as those in manufacturing, agriculture, and even healthcare environments; work sites across mining, oil and gas, and construction; and, finally, offices.’
More informed decision-making and optimized operations across the extended supply chain are only some of the benefits. Wireless sensors, whether measuring hydrogen levels in the soil or temperature variables on the production line, are eliminating blind spots in traditional manufacturing processes and delivering a constant flow of data that optimize workflows. And while manufacturers have leveraged data in discrete applications for Manufacturing Execution Systems (MES) and Enterprise Manufacturing Intelligence (EMI) systems for years, the growth of sensors, real-time dashboards, cloud-applications, and mobile technologies are delivering new degrees of actionable intelligence to the precise location at the precise time it can be optimally leveraged.
Yet this goal of seamlessly moving data across plant and business functions, and applying analytical tools to enable new insights, requires a new degree of visibility into the performance of manufacturing applications, networks, and systems. Traditionally monitoring tools used in factory environments are often isolated, closed, proprietary, and offer only a keyhole view of IT system performance.