article thumbnail

How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

However, limitations with standard analytical models t can keep them from assessing and recording those metrics. The advent of artificial intelligence and big data in sports management makes the measurement of the metrics a lot easier. Streaming and broadcasting. Performance and training analysis. Track fans’ behavior.

article thumbnail

5G use cases that are transforming the world

IBM Big Data Hub

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower.

IoT 105
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. Put simply, it’s about fixing things before they break.

article thumbnail

Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale. A rule in this system represents the state of a single metric (such as temperature) or a collection of metrics.

article thumbnail

Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

Today, asset management software helps companies maintain the most important information about their assets—such as condition, maintenance and repair history, location, licensing and performance metrics—more accurately and efficiently. What follows are some asset lifecycle management best practices that companies rely on.