IoT 2.0 – Sensor Innovation Moves From “Smart” to “Intelligent”

Sensors are crucial to making technology natural, intuitive, and immersive for humans. Sensors are also the foundational elements needed to help evolve many different application areas, particularly in the Internet of Things (IoT) market. In this Pre-Conference Symposium, we will explore how this technology is applied to specific sub-vertical domains in the IoT space, specifically examining how the sensors are enabling the evolution from “smart” systems to becoming “intelligent” systems. Some of the sub-verticals that will be examined are: wearables, smart buildings, and automotive. This Webinar provides a sneak preview of the full-day Pre-Conference Symposium that will be taking place at this year's Sensors Expo in San Jose. Attendees of this webinar will explore the impact to consumer spending and retail markets, and how other companies can capitalize on the trend to develop more “intelligent” systems.
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Spotlight

OTHER ON-DEMAND WEBINARS

IoT Edge Computing 2020

Working with device data in IoT projects can be surprisingly expensive. Connecting devices directly to the cloud is one way to go, but more and more use cases are incorporating edge computing to great benefit. An edge device is internet-enabled but can process its data locally.
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Service Providers jump to the front of 5G and IoT: Global and SEA perspectives

5G is ready for business and deployment has started. It brings new market opportunities both in the consumer space and for enterprises. Our experts will share insights and reflections from both global and local perspective about the enabling technologies for 5G and IoT and also the emerging Service Provider business strategies.
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How to Use AWS IoT Analytics to Unlock the Value From IoT Data

If you could solve real-world problems with IoT data, what would you tackle first? To answer this question, we'll show you how to use AWS IoT Analytics to analyse massive volumes of IoT data without having to worry about the cost and complexity of building your own IoT analytics platform. The solution makes it easy to run analytics and derive insights from IoT data that will help you make better, more accurate decisions on IoT applications and machine learning use cases, for example, predictive maintenance.
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HOW ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS CAN ENHANCE ENTERPRISE ASSET MANAGEMENT

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In today’s business environment, slowing or stopping work isn’t an option. To avoid the threat of a slowdown, companies with processes that are heavily asset driven must think about enterprise asset management (EAM) in new ways.
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