The internet of things (IoT) is generating terra-tons of data that few know what to do with. If you think the Industrial IoT (IIoT) is the same or worse, you are not alone.
By the micro second, edge devices and sensors are generating volumes of data beyond compute that needs to be organized, analyzed, and acted upon. Not all of it may be important, but how is that decided and by whom or what? When important data is generated, such as a failure or impending failure in the processes, how is it determined? How will it be acted upon and how fast before expenses and/or dangerous events become reality?
Sounds like someone good needs to oversee all that data. Most likely more than one ‘someone’ will be necessary plus some hardware and software. Of course, this will cost some money, but a lot less than if no one was at the data-analysis helm. If you find yourself in this situation in your business, do not fret (unless you repair guitars). There is great knowledge and wisdom to be had, easily and cost effectively.
One can gain some expert insight at Sensors Expo Midwest, on Wednesday October 17, 2018, from 11:10 am to 12:00 pm. Brandon Cannaday, Chief Product Officer at Losant, will present a session titled “IoT Analytics Lifecycle: From Generating Data to Predicting the Future.” This session provides a thorough overview of the Industrial IoT analytics lifecycle. Attendees will be able to do a self-assessment of what analytical-lifecycle stage their business is in. Details of each stage, i.e., generate-, collect-, analyze-, react-to-, and predict-data stages, will be covered. Also, the session relies on a real-world use case to help attendees understand their ability to forge connections between disparate data, devices, and technology to reach the predict-data state.
Brandon Cannaday is the co-founder and CPO of Losant. He drives product vision by working directly with enterprise customers adopting IoT strategies across a wide variety of industries, including logistics, industrial, oil and gas, and smart city. Brandon has over 10 years of software engineering experience in the chemical detection, telecommunications, and cloud services industries.
Also covering the IoT/IIoT data analytics topic, two other sessions are available on the same day, Wednesday October 17, 2018:
- 9:10 am: Sensors in Biotech: Revolutionizing Drug Discovery with High Quality Data
- 10:10 am: The Good, Bad and Ugly: Using Remote Monitoring, Sensor Data from IoT Devices, and Predictive Analytics to Dramatically Reduce Costs
To take full advantage of all this knowledge, you need to do that simple and funky two-step dance:
- Register for Sensors Midwest 2018.
- Attend the “IoT Analytics Lifecycle: From Generating Data to Predicting the Future” session as well as the other two.