We've put together this Infographic to share our learnings on edge computing for massive real-time apps. Edge Computing enables massive scale Smart Cities applications. Distributing application intelligence to each Edge Device allows Smart City applications to dynamically compose multiple data sources into real-time experiences.
We've put together this Infographic to share our learnings on edge analytics: insights at the source. Learn more about Industrial Transformation, Fast Data Analytics Adoption, and Technology Investment Priorities in our Infographic:
“The agility of cloud computing is great – but it simply isn’t enough. Massive centralization, economies of scale, self-service and full automation get us most of the way there – but…waiting on a data center miles (or many miles) away isn’t going to work,” says Gartner. We've put together this Infographic of why latency matters: Why Edge Computing is Eating the Cloud:
“There is an increasing need to think differently about how we deliver city services, ranging from transportation, water and waste management to energy and public safety. And tech lies at the center of all of these.” states Jonathan Reichental, the CIO of City of Palo Alto, California.
We've put together this Infographic to share our learnings of where Smart Cities are investing in Smart City infrastructure. Learn more about planned & implemented Smart Cities projects and IT spend by Smart Cities in our Infographic:
We've put together this Infographic to share our learnings of how Smart Cities Keep on Getting Smarter in Intelligent Transportation, Privacy & Security, Machine Learning, and Public Utilities. Learn more about the top increase in top technology spend as well as the growth of connected devices in Smart Cities in our Infographic:
Unmanned Aerial Vehicles (UAVs) and other autonomous technologies provide new opportunities for industrial automation. With use cases in security, surveying, delivery, insurance, and more, businesses can combine software and drone technologies to reduce manual effort and efficiently complete tasks that would otherwise be time and labor-intensive.
IOT trends in Manufacturing: unlock deep insights about Information Technology (IT) and Operational Technology (OT) aspects in the Manufacturing process with the Internet of Things (IOT) using Machine Learning. Sensors on equipment, assets, and the production line can provide insights that streamline business processes and significantly reduce costs. IOT technologies can help business automation and control systems react immediately, reducing system complexity and offering granular, real-time visibility into asset locations. Use IOT data at the edge to improve system accuracy and uptime in your manufacturing process.
Edge computing is a distributed computing model that leverages the various edge devices on a network, in order to more efficiently compute IOT data as it is created. Edge computing provides the networking framework that allows developers compute time-sensitive data on the edge, while pushing refined data to the cloud for further processing. By performing analytics at the edge, IOT project managers can benefit from decreased application latency, lower storage and maintenance costs, and a clear path for scaling an IOT application. Process data at the edge to gain real-time insights at the IOT edge. By using machine learning at the edge you are able to benefit from edge IOT analytics.
Smart Cities technologies can help power more efficient, greener, and more livable cities. The insights from Smart City devices can optimize city operations and generate significant cost savings, but challenges remain integrating with the in-place municipal systems that could benefit most. As city governments continue to increase investments into IOT technologies, Smart City decision makers should focus on solutions that emphasize local, real-time data analysis, and interoperability to maximize impact, as well as uncovering hidden insights by using Machine Learning.We've put together this infographic of Smart Cities Trends & Spend to help you navigate IOT opportunities and uncovering IOT efficiencies in your Smart City:
The Internet of Things (IOT) has the potential to unlock deep insights about IT (Information Technology) and OT (Operational Technology) aspects of Building Management by using data and insights from Machine Learning. Integrating Building Management Systems (BMS) with IOT sensors can provide insights that identify inefficiencies, predict maintenance needs, and alert facilities managers to equipment failures in real-time. In order to maximize the benefit of IOT investments, building managers should look to IOT solutions that aggregate across all systems (HVAC, utilities, security, etc.) to deliver a complete, contextual view of current building performance.