blog,industry 4.0,data quality assurance,data privacy management

Databricks in Banking: 5 High-Impact Use Cases

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We’ve discussed Databricks in general before; now, using five use cases, we’ll show why Databricks can be useful in the banking sector.

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KI hinter den Kulissen, AI behind the scenes, AI a színfalak mögött

AI Behind the Scenes – Discussing the Practical Side of AI at DSS Consulting’s Workshop

AI behind the scenes: Our workshop focused on real-life experiences and solutions, discussing AI-supported testing, the relationship between AI and compliance, and a real-life case study.
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blog,industry 4.0,data quality assurance,data privacy management

Understanding Generative AI (Part 1): AI Data Privacy Guide for European Companies

In this blog post we provide a general AI Data Privacy Guide and best practices for companies using LLMs.
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AI-rendszerek kockázatai, AI risk categories, Risikoklassen von KI

Demystifying the EU AI Act: Understanding AI Risk Categories

In this blog post we briefly summarize the key provisions of the EU AI Act 2024 about the risk categorization of various AI tools.
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Hatékonyság az irodában

Office Efficiency: Working Time and Cost Savings Thanks to RPA

Efficiency in the office? Robotic process automation can help - let us show you how, using real-life examples.
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blog,industry 4.0,data quality assurance,data privacy management

20% Cost Savings on Software Testing: A Success Story from Germany

Cost reduction is always a priority these days, even in software testing. This is how we help our German client to save 20% per year.
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blog,industry 4.0,data quality assurance,data privacy management

Duplicates

One of the key steps in the data quality assurance process is usually the detection and processing of duplicates in databases.
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adattisztítás a gyakorlatban

Data Cleansing in Practice

What types of data are affected by data cleansing and how is it done in practice? In our blog post, we answer this question, including some of our previous successful projects.
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adattisztítás általában

About Data Cleansing

Previously, we introduced some basic concepts of data or information quality assurance. Now, we will focus on one of its fundamental pillars: data cleansing.
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Basic Concepts of Data Quality Assurance

The 5 Basic Concepts of Data Quality Assurance

In the continuation of our series on data quality, we shed light on the most important basic concepts of data quality assurance.
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