Machine Learning

March 19th, 2021, by
Automation Refresh

Hyperautomation isn’t simply replicating how tasks are completed with robotic process automation. RPA was merely the first step in the evolution of this type of technology.

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March 4th, 2021, by
Toughen up — Building more robust models with adversarial training

If you are to believe cartoons and old timey comedy slapstick humour, the protagonist putting on a moustache was enough of a disguise to fool people into thinking they are someone completely different.

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March 1st, 2021, by
The Greatest Video Game Anti-Cheat Ever Made

Anti-cheat software is part of an endless cat-and-mouse game: developers find a way to detect and punish cheaters, who in turn try to evade detection by building better cheats.

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February 3rd, 2021, by
Integrating Innovation Management for Disruptive Growth Alignment

This article is a companion to Creative Production Flows for Distributed Innovation Teams. It should be noted that the Innovation Accelerator is now part of SogetiLabs’ Thinkubator Business enterprise innovation platform and services.

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February 2nd, 2021, by
Predicting the future – or just guessing?

What happens when you ask a group of technology specialists about “What will be the latest tech company on the stock exchange in 10 years’ time?”

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December 22nd, 2020, by
Automated Machine Learning: Hands-off production maintenance for the busy entrepreneur

Machine learning is getting more traction. The willingness of companies to use ML models in production for their daily business is growing.

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November 25th, 2020, by
Crowdsourcing Label Aggregation: Modeling task and worker correlation

Crowdsourcing Label Aggregation: Labelled datasets are crucial for training machine learning research, both in academia and in industry.

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October 19th, 2020, by
Can quantum technology assist in the next COVID crisis? Part 3

Zooming in on the potential applications of quantum computing in predicting the evolution of COVID-19 using quantum machine learning.

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October 9th, 2020, by
Top 5 SogetiLabs blogs from September 2020

Take a look at our most read and shared blog posts from September 2020.

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September 23rd, 2020, by
AI-Assisted Testing

There is a constant ask from the customer on how to optimize the overall QA (Quality assurance) activities in terms of reducing cycle time, improving quality by reducing production defects, focused testing to get maximum defects in early development phases.

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September 7th, 2020, by
Machine Learning Use Cases in Retail

With the increasing use of ML and AI, how can retailers boost efficiency and productivity while actively engaging with consumers?

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September 2nd, 2020, by
Applying ML models in production — A theoretical challenge that you need to be aware of

Applying machine learning algorithms to your business process can be quite beneficial: whether it is to predict incoming workloads to better allocate internal and external resources, or to segment customer groups to personalize marketing campaigns, machine learning is the key to success.

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