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DataSentics becomes part of the Atos Group | DataSentics

Datasentics DataSentics becomes part of the Atos Group

We are thrilled to announce that we agreed with Atos to become part of their family. Atos is a global leader in digital transformation with 107,000 employees and annual revenue of over € 11 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries.

21.10.2021

5 Examples of AI/ML Innovations which Bring Tangible Results | DataSentics

5 Examples of AI/ML Innovations which Bring Tangible Results

Machine Learning and Artificial Inteligence are becoming fundamental in many industries, such as digital marketing, quality control, general task automation and business intelligence. In this article, we will show you 5 particular examples of where AI and ML generate tangible results already today.

09.07.2021

Use-case example: TF-IDF used for insurance feedback analysis | DataSentics

Use-case example: TF-IDF used for insurance feedback analysis

Each company presented on the internet, either a football club or insurance company, needs to process the information received from their customers.

02.06.2021

5 Struggles of Real-Time Bidding and How to Solve Them | DataSentics

5 Struggles of Real-Time Bidding and How to Solve Them

As a fully automated way of buying advertisement banners using an auctioning system, RTB allows certain page visitors to win the bid and place their ad.

02.06.2021

How to increase customer satisfaction with a unique recommender? | DataSentics

How to increase customer satisfaction with a unique recommender?

Would you like to spend less time choosing the products you cannot do without? Just install Betterfy — a native e-commerce choice assistant inspired by the offline shopping experience.

02.06.2021

Why the World Struggles To Productionalize ML-Driven Solutions | DataSentics

Education Why the World Struggles To Productionalize ML-Driven Solutions

While mentioning QR code readers, self-driving cars, or a personalized feed on YouTube, we don't think about the machine-learning solutions and their productionalization standing behind each development.

02.06.2021

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