KX and Telit to offer end-to-end industrial analytics platform for microsecond manufacturing decision-making #IoT - The Entrepreneurial Way with A.I.


Monday, October 4, 2021

KX and Telit to offer end-to-end industrial analytics platform for microsecond manufacturing decision-making #IoT


KX, a provider of real-time streaming analytics, has partnered with Telit, a global provider of the Internet of Things (IoT), to deliver an end-to-end, enterprise-grade industrial analytics platform. The platform combines KX’s real-time performance streaming analytics capabilities with Telit’s deviceWISE Industrial IoT platform.

The partnership enables true, in-the-moment microsecond decision making by bringing together acknowledged providers of low-latency connectivity and analytics. In one integrated solution, customers have both the unrivalled connectivity and simplicity of Telit’s deviceWISE IoT platform and the power of KX’s streaming analytics technology. 

Already deployed at a large manufacturing site in Europe, the joint solution enables manufacturers to significantly enhance operational performance by applying advanced artificial intelligence (AI) models to all production data regardless of type of machine or format of data.

This integration of operational technology with IT systems aims, say the companies, to enable a deeper, richer understanding of the manufacturing process enabling automation of quality control processes and the delivery of preventive and predictive maintenance programs.

Przemek Tomczak

“Modern manufacturing organisations are seeing a huge increase in data, coming at them at speed, and the need to gain a truer understanding of the manufacturing process in real-time has never been greater,” says Przemek Tomczak, SVP IoT and utilities at KX. “Combining Telit’s unrivalled ability to connect enterprise systems to industrial machines and sensors, and our market-leading streaming analytics capabilities, we can help customers predict operational issues, automate key decisions and significantly improve operational performance.”

The Telit deviceWISE IoT Platform is a complete, data-centric IoT platform with pre-built device drivers, connectivity management tools and application connectors that enable development teams to focus on building apps, not infrastructure, and make systems work together the way their customers want. Powerful capabilities integrate with connected factories and connected machines to give teams total flexibility in how data is collected, where it is sent and how their solution responds to data based on events and changing conditions throughout deployment whether in the Cloud, on premise or at the edge. With deviceWISE, legacy and modern devices work together without custom coding, regardless of the different protocols they may use. 

“With KX and Telit, systems integrators and manufacturers can implement a full-stack streaming analytics IoT platform. Leveraging data and analytics provides the insights needed to respond quickly to either bring on additional resources or tighten process controls to increase productivity,’ comments Ricardo Buranello, head of platforms business unit at Telit. “Data intelligence is critical in driving actionable insights to make informed business strategies, goals and decisions.”

The market opportunity for the joint solution is considerable. The Industrial Analytics Market is valued at US$13.6 billion (€11.71 billion) and expected to reach $36.73 billion (€31.62 billion) by 2026. With data volumes growing exponentially industry analyst firm IDC estimates that enterprise-related sensor data is growing at 40% per annum and will soon surpass all other data types this joint offering is designed to meet demand from customers looking to accelerate time to deployment and value from their industrial automation strategies.

On October 21st (17.00 BST and also available on demand), KX and Telit will host a webinar focused on accelerating and improving real-time decision-making in industry. For more details and registration please visit here.

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October 4, 2021 at 06:24AM by Anasia D'mello, Khareem Sudlow