Where: Galway Technology Park, Parkmore
Date: 25-Apr-2018
Time: 12:30pm

Predictive maintenance in the oil and gas industry

An introduction to the core concepts and challenges of predictive maintenance when applied to the oil and gas industry providing several real-life use-cases developed using open source technology.

– What is predictive maintenance?

– Typical oil and gas subsea architecture

– Data challenges

– Typical modelling challenges, techniques and tools

– Presentation of desensitized use-cases (up to 3)

– Summary

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Where: Avaya, Mervue Industrial Estate
Date: 10-May-2018
Time: 12:45pm

In this presentation, Avaya will introduce some of the possibilities for the application of machine learning concepts in Contact Center environments. As a global leader in Contact Center, Avaya has extensive solutions to optimize self-service, routing and agent tools as well as the analytics to provide oversight. Given the frequency of similar, often related topics reappearing in customer service requests, the industry is ripe for application of Machine Learning concepts to optimize the customer experience.

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This event will see local transition year students visit GMIT to learn about software development and coding.

More details and booking to follow.

Where: Fidelity Office, Parkmore East Business Park, Galway
Date: 15th May
Time: 09:00am

Machine Learning: Paradigm shift from Reactive to Predicative models

Session will examine the building blocks, areas and key techniques for accelerated ML / data science capabilities in transforming your business

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Where: HPE, Galway

Date: 16-May-2018

Time: 15:30pm

HPE, DXC, and Micro Focus present projects using Machine Learning methods including technologies used, what worked and what didn’t.”

DXC: Using Machine Learning to improve Sales Forecasting
HPE: Using Machine Learning to improve Disk Drive usage prediction
MF: Investigating machine learning methods for Data Center security.

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Where: Porter Shed, Galway
Date: 17-May-2018
Time: 6pm

Is your team constantly feeling pressure to deliver software faster without compromising quality? As your test automation process ramps up, your testing efforts can lag behind due to speed and scalability issues. Test environments are often the root cause for a number of these problems due to the time it takes to create them and the cost to reflect real users. Incorporating a test automation platform can cut your testing time in half by leveraging cloud capabilities of testing multiple devices and browsers at one time and fixing bugs as fast as you find them. Bria Grangard from SmartBear Software will walk through the steps to alleviate frustrations by identifying key bottlenecks in your testing process so you won’t have to compromise speed or quality.

Join us on May 17^th where you will experience real-world testing across multiple environments, techniques that can help easily speed up your testing efforts, and strategies to enable parallel testing for both manual and automated testing processes. You’ll leave with new ways to quickly pinpoint problem areas in your tests.

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The 2018 Conference will be held in NUI Galway on the 24th of May in the Bailey Allen Hall.
The one day conference brings together the brightest and most experienced professionals in the field of AI & Machine Learning for an immersive day of learning, discussion and connection. Once again the Atlantec Committee have secured amazing international speakers to impart their knowledge to the tech community of the west.

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25th May 2018 – Corinthians RFC, Tuam Road, Galway

After a hugely successful inaugural Tech Tag World Championships held in 2017, the event returns for 2018 to Corinthians RFC. Who will take the title away from Aerogen this year? Open to all companies involved in the Digital, MedTech, FinTech and Learning Technology sectors.

Teams must have at least 3 female members with standard IRFU tag rules in place.

Entry cost is only €110 per team which includes a beer and a burger for all team members (max 10 per team).

Prize giving, music and a full bar will be available post event.

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