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Semtech Corporation, a leading supplier of high performance analog and mixed-signal semiconductors and advanced algorithms, and SAS, the leader in massively parallel analytics and AI, are working together to deliver innovative Edge-to-Cloud IoT solutions that accelerate intelligent decisions for a smarter, safer planet. The end-to-end solutions incorporating LoRaWAN® connectivity with the industry leading SAS IoT analytics platform will simplify the development of IoT solutions that are focused on solving some of the biggest challenges facing the world today: natural disasters, hunger and sustainability.
“SAS and Semtech offer proven technologies and innovative industry solutions that address complex challenges in communities. Combining SAS IoT analytics solutions – i.e., data, streaming analytics and AI, with the LoRaWAN standard, strengthens our collaborative vision of providing innovation to create a smarter, safer world,” said Alistair Fulton, vice president and general manager of Semtech’s Wireless and Sensing Products Group.
“IoT is forcing a fundamental shift of business and operational strategies as organizations adopt new models for agile IT, edge analytics and platform-based security,” said Jason Mann, vice president of IoT at SAS. “SAS IoT and Semtech are building an ecosystem of partners to drive the right digital infrastructure strategy to harness IoT data and enable the right set of applications that deliver meaningful results.”
SAS' IoT solutions, built on Microsoft Azure, provide real-time insights into IoT data and analytics generated across multiple use cases that help solve specific challenges and offer an interconnected world with better ways to monitor and safeguard communities, people and resources.
“As the driving force behind LoRa technology, Semtech plays a vital role in the development and deployment of LPWANs for IoT devices,” said industry analyst Steve Hoffenberg, Director of IoT & Embedded Technology at VDC Research. “This new collaboration will bring more existing SAS customers to the IoT, and bring the advantages of data analytics to current and prospective IoT users, enabling enterprises and organizations to solve problems and improve efficiencies in a wide range of use cases, from industrial automation and asset tracking, to agriculture and environmental management, and many more.”