Intelligent Transportation Systems (ITS) can help a city or region reduce traffic congestion and minimize infrastructure management costs. However, the flood of data from connected sensors overwhelms most architectures. ITS deployments require a solution that integrates with existing hardware, reduces data at the edge, and delivers high value data streams to city managers, relevant municipal systems, and third-party developers.We've put together this Infographic to share the trends we've noticed regarding traffic statistics and how to build smarter traffic systems for Smart Cities:
Smart Cities use data from Industrial IOT devices to better plan, manage, and operate their local policies & initiatives to improve the quality of life of citizens while reducing environmental footprints. A Smart City has digital technology embedded across all city functions. Smart City efforts use IOT technologies for efficient provisioning of infrastructure and governance ranging from transport, energy & utilities, and safety. Finding partners that can manage the deluge of real-time data from already-deployed edge devices is critical for Smart City success.We've put together this Infographic to share the trends and growth we've noticed regarding Future of Smart Cities:
Swim ESPTM is a powerful edge-based addition to traffic deployments that transforms your Advanced Traffic Management Systems (ATMS) with machine learning. Swim ESP is designed to “plug & play” with existing traffic systems, where it delivers context-relevant insights precisely where and when they are needed, empowering traffic operators and city managers in real-time.We've put together this Infographic to share ten ways Swim ESP Boosts your Smart Traffic Systems with Machine Learning:
Industrial IOT applications must receive & react to streaming data from sensors in real-time. Businesses should be managing data at the source, directly at the edge, to turn the floods of data into actionable business decisions.
Is your business drowning in a flood of sensor data from equipment, assets, suppliers, consumers, and other data sources? We've put together this infographic to share the data trends we're noticing for IOT and IIOT environments:
Swim ESPTM is a powerful edge-based addition to sensor-rich industrial environments that transforms your Operational Technology (OT) with machine learning. Swim ESP is designed to “plug & play” in existing industrial environments, where it delivers context-relevant insights precisely where and when they are needed, so you can make business decisions in real-time.We've put together this infographic to share the ten benefits of Swim ESP when used in Industrial IOT environments:
Industrial IOT applications must be ready to receive and react to streaming data from sensors in real time. Unfortunately most organizations are unprepared to process the deluge of time-critical data in real-time. Networks get swamped, storage requirements are huge, and application processing needs are growing every day. Few organizations are ready to trust their critical Operational Technology (OT) applications and data to third party cloud providers. Organizations must deal with data at the source, to turn floods of data into manageable streams.
The Internet of Things (IOT) is connecting devices, vehicles, buildings, and assets to the business systems that power industry. Industrial IOT (IIOT) enables businesses to monitor and control connected devices across their network infrastructure, creating opportunities for improved efficiency, accuracy, and economic benefit in addition to powering the automated systems of the future while using machine learning.