All Things Distributed

NOVEMBER 19, 2020

Coaching staffs, decision makers, and even the announcers are using data to make real-time decisions, each team constantly working to gain even a fraction of an advantage over its opponent. One of the things that I find most interesting about football is how the evolution of technology is having an impact on its progression.

Games 197

Games IoT Serverless Internet 197

All Things Distributed

JUNE 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. Seamless ingestion of large volumes of sensed data. Advanced problem solving that connects big data with machine learning.

AWS 90

AWS Cloud Healthcare Blockchain 90

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Serverless Architecture. Besides that, these apps do well in areas with a slow internet connection. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. You can easily access these data by integrating chatbot with your CRM.

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52