Data Science Trends

Artificial Intelligence
Artificial intelligence is a technological development that will most likely affect the way we live, work and do business in the future. With it, business analysts can make more accurate predictions, spend less time on labor-intensive processes like data collection and cleansing, and empower employees to act on data-driven insights, regardless of their professional or technical experience.

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Democratization of data
In order to seize not only selected business opportunities, but also those that would be lost due to a lack of competent data analysts in the organization, the goal is to make access to data for the company easy, fast and reliable design.

Auto-ML
Machine learning is the latest advance in data analysis and it doesn't look like it's coming any time soon. The democratization of data science is now being driven by automated machine learning.Automated machine learning improves the efficiency of repetitive and labor-intensive tasks that previously required manual work. Automated machine learning frees data scientists from time-consuming tasks like data preparation and data cleansing.

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NLP (Natural Language Processing)
NLP is one of many areas of artificial intelligence, linguistics and computer science. It has gained popularity in recent years due to the processing capacity available and the large amount of data required.

Data regulation and governance
Data management is at the core of all aspects of data processing, analysis and research - in other words, all interactions between humans and non-humans with data.The provision of a platform for secure data exchange within the company in compliance with all data security and data protection regulations, such as e.g. GDPR, is the process to ensure high-quality and controlled data.

Robotic Process Automation (RPA)
Because it automates tedious and repetitive processes seamlessly, quickly, and consistently, RPA will be a cutting-edge software technology in 2023. Important and difficult tasks will have time for people.

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