Blockchain Interoperability (Part 1)

GlobalLogic wins at the 2023 Analytics Institute Awards, Dublin

*This blog was updated on Friday 16th June. The team is excited to announce that GlobalLogic was named winners of the Emerging Technology Award at last night’s Analytics Institute Awards! This prestigious award recognises organisations that have successfully employed new technologies such as IoT, Edge Computing, Machine Learning, or RPA. Our submission showcased the successful application of … Continue reading Blockchain Interoperability (Part 1) →

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MLOps Principles Part Two: Model Bias and Fairness

Welcome back to the second instalment of our two-part series – MLOps (Machine Learning Operations) Principles. If you missed part one, which focused on the importance of model monitoring, it can be found here. This blog explores the various forms that model bias can take, whilst delving into the challenges of detecting and mitigating bias, … Continue reading Blockchain Interoperability (Part 1) →

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Continuous Testing: How to Measure & Improve Code Quality

One basic but important customer expectation is that their software product should be of very good quality

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The GlobalLogic Academy Programme – a personal, introspective recollection

Ben Graham – Academy 2022 Graduate/Delivery Consultant I am currently in the DevOps capability for consulting and a recent graduate of the Academy 2022 programme which ran from September to December. I’d like to detail my thoughts on the process and share how my fellow graduates and I felt going on this journey. The GlobalLogic … Continue reading Blockchain Interoperability (Part 1) →

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Seven steps to break down systemic gender barriers

Despite progress over the years, women are still significantly underrepresented in tech. Systemic gender barriers – such as unconscious bias, lack of access to education, and cultural norms – can make it difficult for women to break into the tech industry. But how do we break down these barriers? Follow our simple step by step … Continue reading Blockchain Interoperability (Part 1) →

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MLOps Principles Part One: Model Monitoring

Machine learning (ML) has quickly become one of the most transformative technologies of our time – with applications in a wide range of industries, from healthcare and finance to retail and transportation. As organisations begin to adopt ML, they are facing new challenges arising from working with ML systems. Building, deploying and maintaining ML models … Continue reading Blockchain Interoperability (Part 1) →

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Best Practices for Writing Secure Code for Mobile Apps (Part 1)

Security continues to make apps running on mobile devices vulnerable; note especially the increase of mobile web browser-based hacking.

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Best Practices for Writing Secure Code for Mobile Apps (Part 2)

Debug logs reveal a lot of information about your app, such as its interaction with servers.

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