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We drive innovation for a diverse set of industries


Aerospace companies must optimize inventory to achieve business goals. Reduce costs and unplanned downtime while enabling operational efficiencies 

The most critical functions within the enterprise demand accurate knowledge at every interaction. AI-enabled technologies deliver the expertise needed to turn impossible tasks into intuitive conversations. Uncovering hidden insights, transforming outdated processes, and delivering superior customer experiences with AI, IoT, automation, and blockchain are helping innovate supply chain management.


Internet of Things (IoT) devices are transforming our lives in a tremendous way. Today, users of IoT devices can evaluate engine performance, control air temperature, and measure physical health indicators with only a few clicks. Picture this: by 2020 there will be more than 20 billion IoT devices in use. Automotive companies and related businesses can no longer afford to ignore the significance of IoT for automotive development The auto industry giants have joined the race for making the safest and stress-free autonomous vehicle. By 2020, there will be more than 20 billion IoT devices in operation.


Across the diverse fields of life sciences, there has been a constant drive for development and technological advancements. Scientists across the life sciences spectrum are looking at improving the quality and standard of life, and the internet of things (IoT) represents a major enabler for future developments in the industry. IoT technologies can have a direct impact across all areas of the value chain: from the process of manufacturing drugs, equipment or medical devices, to the development of connected devices that monitor patients’ state and behavior (and the platforms for sharing that data with care providers), to remote data capture through sensors on critical trials. Therefore, it is important to understand the great potential that IoT can have on the entire life sciences industry.


Let’s take a look at the manufacturing stage. IoT enables seamless sharing and synchronization of data. Different parties in different locations can have access to the same information at the same time. Another benefit is that thanks to the advancements of data processing and predictive analytics technology, we can not only know what is happening now but also predict what could happen in the future. All these factors are extremely important throughout the manufacturing process. With the number of networked sensors increasing across production, supply chains and products, manufacturers are beginning to tap into a new generation of systems that enables real-time, automatic interactions among machines, systems, assets and things. 

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