What can IBM Watson do to reshape the Insurance Business?

whitePaper | July 22, 2022

Norgren is part of global engineering organization IMI plc. IMI is at the forefront of delivering the solutions we need in a changing world and is focused on creating tremendous value by solving key industry problems in attractive markets and employing the best.

whitePaper | May 16, 2022

Big data is the dominant economic currency in a changing world moving at an increasingly accelerated pace. The speed and frequency with which data is collected, processed, and actioned is crucial to delivering the core promise of the Internet of Things (IoT) – either saving money through optimized operations or enabling new business models to generate new revenue streams.

whitePaper | January 10, 2020

The Industry 4.0 trend is transforming the production capabilities of all industries, including the agricultural domain. Connectivity is the cornerstone of this transformation and IoT a key enabling technology that is increasingly part of agricultural equipment. From Industry 4.0 to Agriculture 4.0 The Industry 4.0 trend is seen as a transforming force that will deeply impact the industry. The trend is building on an array of digital technologies: Internet of Things, Big Data, Artificial Intelligence, and of digital practices: cooperation, mobility, open innovation.

whitePaper | March 10, 2022

Each connected sensor in your IoT solution can create thousands if not millions of data points every hour. A treasure trove of value exists in that raw data! But to leverage that value, your business needs to store data over time and process, organize and analyze your data properly.

whitePaper | May 24, 2022

Despite the best efforts of developers, embedded and IoT systems are usually deployed with bugs remaining in their code. A development team introduces an average of 120 bugs per 1,000 lines of code during development. Approximately 5 percent, or 6 bugs per 1,000 lines of code, typically remain in the shipped software.

whitePaper | October 3, 2022

This paper is intended to introduce the definition of a Data Fabric solution from a business perspective, the technical capabilities required to instantiate the solution, and a reference architecture representative of the solution.