Labs Blog

May 17th, 2019, by
[Whitepaper] Azure Analytics: Making organizations future ready

Organizations today need to be compliant with local and global laws, ensuring client data is secured and meets legal terms and standards. Failure in any of these aspects may lead to financial losses and may have legal repercussions.

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May 16th, 2019, by
The autonomous car: A consumer perspective

What do automakers really understand what consumers want from self-driving cars?

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May 15th, 2019, by
European Digital Transformation is in diapers?

I was on holiday last week spending time with a book titled “10 Campeones de la transformación digital: 10 Líderes Españoles”. The book is about the 10 most important Spanish Leaders of Digital Transformation who come from many different business areas; financial, technology, transport, healthcare and you can go more in deep not only for each sector, even for the global environment.

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May 14th, 2019, by
Unintentional bias in training data

One of the things that are important to consider when you’re testing artificial intelligence is the possibility that you have unintentional bias in your training data. Because if there is, you’ll end up with a biased system… So, how can this happen and what should you look for?

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May 10th, 2019, by
Top 5 SogetiLabs posts from April 2019

In this blog post, we will highlight and feature our most read and shared posts from April 2019.

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May 9th, 2019, by
Intelligent Discussion Forum

This document outlines some of the best approaches for managing discussion forums in a large scale & benefits from its learnings and offers services for analyzing text, moderating, and calculating the sentiment score by utilizing the service-based model.

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May 8th, 2019, by
High Availability With Democratized Intelligence

This article showcases the AI capabilities of Capgemini Engineering Services. It aims to add unique differentiation of “high availability” feature in Distributed AI context.

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May 6th, 2019, by
Make your Artificial Intelligence more trustworthy with eXplainable AI

The amount of software systems that are using artificial intelligence (AI) and in particular machine learning (ML) is increasing. AI algorithms outperform people in more and more areas, causing risk avoidance and reducing costs. Despite the many successful AI applications, AI is not yet flawless.

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May 3rd, 2019, by
PoV on SharePoint – Future & Roadmap

This article focuses on the evolution of the “SharePoint Experience”, its role and future in today's modern digital workplace programs and the next generation solutions to be proposed to our customers.

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May 1st, 2019, by
Whitepaper: Assessing Vehicle Damage – the ML way

In this research, we propose to replace the traditional methods of vehicle damage inspection (for car insurance) with a Machine Learning based automated solution.

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April 30th, 2019, by
DevOps Oriented Test Architecture

Test architecture set up correctly: Practical report on the efficient testing of agile software products with a high degree of automation

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April 29th, 2019, by
BI to AI Journey

In this post, I explore an approach to help organizations develop a roadmap in their journey from BI to AI.

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