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IoT Evolution Speakers: Michael O'Connell Speaks Out

By Ken Briodagh July 12, 2017

The IoT Evolution Expo is the only Internet of Things industry event focused on Enterprise-level strategic planning and engineering-lead solutions to IoT and IIoT challenges. We have invited a world-class speaking faculty to join us and help provide our conference delegates with the critical business intelligence they need to formulate strategy for the next year.

We reached out to our speakers and asked them for a preview for their sessions to give you a little taste of what to expect at Caesars Palace in Las Vegas July 17 to 20 for the IoT Evolution Expo. To register now, click here.

Michael O'Connell is Chief Analytics Officer at TIBCO Software, helping clients with analytics software applications. O'Connell has worked in many industries, driving TIBCO product direction to address business problems in Financial Services, Energy, Life Sciences, Consumer Goods & Retail, and Telco, Media & Networks and he has written more than 50 scientific papers and several software packages on statistical methods. His current book, A Picture is Worth a Thousand Tables, is published by Springer.

In his session, "Augmenting Business Intelligence at the Edge," he will talk about how AI and machine learning are unlocking unprecedented business value from IIoT sensor data. The cycle of exploratory visual analytics, numerical encoding and embedded rules/models enables real-time surveillance and statistical process control. In combination with digital twins, this cycle supports understanding and fine tuning on software representations of physical assets. Combining sensor data with visual analytics tools lets operators see patterns of equipment productivity, degradation and stoppages. The embedding of numerical models encoding such patterns enables continuous surveillance, decision support and automated interventions when degradation is detected. Such technologies are augmenting business intelligence at the edge, driving operational efficiency and ROI.

IoT Evolution World: What will be some key points you plan to hit in your session?

Michael O'Connell: I’ll be covering four areas:

· Deployment Architecture: I'm going to talk about edge computing and how we can perform/carry out/conduct model training and model management either on premises or in the cloud as well as how we can deploy models and data preparation out into the edge environments, whether that be another cloud environment, gateway, or micro controller.

· Data Processing: I’ll touch on things like alignment, aggregation of data, how to normalize and understand the correlations, and develop features from the data that are useful for tracking real time systems in IoT.

· DevOps: I will be describing how insight platforms provide environments for business users, for data discovery, for data scientists, for building models, and for developers to deploy infrastructure and embed analytics. 

· Use Cases: I’ll talk about how advanced technologies are being used in a variety of industries and call out examples like deployments in wind turbine companies, airlines and travel companies and sports such as F1 racing.

IoTEW: What new insights can attendees expect to take home?

MO: Importance of having a platform that includes the ability to visually explore historical data, and then create insights, rules, and models that can capture insights.

· How to manage those models and rules and monitor model performance, including champion-challenger scenarios

· Get a holistic view of data discovery to data science and devops; including rules and model management, deployment, and embedding into core and edge systems. 

IoT EW: Can you identify a few important trends influencing your sector of the IoT which will shape the path of the industry?

MO: In terms of trends, we're seeing a rise in the role and value of engineering across the board.  One key trend is that there's a lot of equipment that have sensors onboard and a ton of engineering data and analyses. We’re seeing this in connected cars, smart manufacturing, remote monitoring of energy systems, and logistics and transportation systems. All of those areas have their own IoT trends that are shaping the industry and helping us modify the way we're developing our solutions. 

IoTEW: What are the biggest challenges facing the IoT?

MO: The biggest challenges are data based. How do you wrangle the data and normalize the data in a way that it is robust yet flexible to changes in the data systems? How can the data be set up in a way that allows you to do anomaly detection on historical data? At the same time, after obtaining certain patterns and rules, you need to be able to monitor those in real-time systems with data coming off the equipment to do things like conditioned-based maintenance, or to understand degradation, or outages. It's a combination of data ingest, data management, data preparation, along with the analytic tooling that enables you to get the insights and then deploy them into the real time fabric. 

IoTEW: Which vertical markets have the most to gain from IoT implementation? Which are leading and which are still behind the adoption curve?

MO: Industries like manufacturing, smart manufacturing, advanced process control, as well as energy monitoring, exploration, production of oil and gas, turbines, smart grid systems have been doing IoT implementations since before the term IoT was even coined. The whole energy sector is ripe for expanded IoT implementations. Some vertical markets that are hot when it comes to IoT are transportation and logistics, connected cars, and vehicle shipping.

IoTEW: What sessions are you most looking forward to attending at the Expo? Why?

MO: I'm mainly interested in the IoT Business Intelligence/Analytics track and the Industrial IoT track and sessions around industrial and engineering implementations of IoT. IoT Smart City is also of interest. TIBCO has been developing and deploying IoT solutions for many years - before the term IoT was coined. We have partnership with the Singapore government on IoT Smart City; we have many mission critical Industrial IoT deployments in smart manufacturing, remote monitoring of energy systems, and in logistics and transportation. 




Edited by Ken Briodagh

Editorial Director

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