Practical Operational Intelligence and Fast Time to Value for the IoT


Details
This is a virtual Meetup occuring at 11AM Eastern time. For help with your timezone calculation, refer to this (http://time.is/compare/1100_27_May_2015_in_ET).
The meetup will be held on Google Hangouts and you can watch the live stream directly on YouTube.
http://www.youtube.com/watch?v=lP7zPAK1TlI
There’s no good reason for Operational Intelligence or data-driven insights to be a bottleneck for progress or innovation, especially when it comes to the Internet of Things (IoT).
Learn how Splunk’s developer-friendly software can be used to quickly and easily build solutions to mine the big data being generated by connected devices, giving you insight into the operations, security, and business relevance of those devices.
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In this session, we will take a look at the expanding scope of IoT big data, some common sources, and how you can use Splunk’s on-premise or cloud-based platforms to collect, store, transform, analyze, visualize, alert, report, and even perform advanced data science on data generated by the IoT. We’ll cover a few case studies where companies have used Splunk software to realize tremendous ROI on IoT projects. We’ll also outline the steps to download a free version of Splunk, how to connect to and collect data from IoT sources, and how to start gaining insight at big data scale from the machine data produced by those devices right away!
Speaker: Brian Gilmore
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A former practitioner in mechanical systems automation, integration, and data analytics, Brian currently focuses on enabling Splunk’s 9000+ worldwide customers to improve service levels, reduce operations costs, mitigate security risks, enable compliance, and create new product and service offerings using insights from the big data generated by mechanical systems and connected devices. His broader IoT and M2M interests include failure forensics, fault detection and diagnostics, and intuitive, data-driven human-machine interfaces.

Practical Operational Intelligence and Fast Time to Value for the IoT