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

Smart Data Collective

Even college sports teams have discovered the benefits of big data and started using it to make stronger cases to potential sponsors. As it continues to grow, the introduction of big data technology is helping the physical world expand from real-life person-to-person contact to the virtual esports world. billion in 2020.

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5G use cases that are transforming the world

IBM Big Data Hub

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. 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.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

What could be faster and easier than on-prem enterprise data sources? For example, an exploration of historical data may reveal that an increase in customer satisfaction (or dissatisfaction) with one particular product is correlated with some other satisfaction (or dissatisfaction) metric downstream at a later date.

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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. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.

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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. This allows you to act on data locally and aggregate and filter device data.

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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.