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News / Blog: #artificial-intelligence

What is an algorithm?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
An algorithm is a step-by-step procedure used to solve specific tasks. An algorithm is a set of well-defined instructions involving a series of steps that must be followed to solve a particular problem. Algorithms can be used in any field where computers are used, from mathematics to artificial intelligence.
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What is machine learning (ML)?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Machine learning is an area of artificial intelligence that deals with the development of algorithms that allow computer systems to learn from experience. These algorithms allow computers to learn from examples to solve complex tasks without being explicitly programmed. Machine learning is a constantly evolving approach that enables computer systems to solve increasingly complex tasks.
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How a Rostock startup is turning the European PR industry upside down

11/16/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Rostock-based startups like FDS are revolutionizing the PR industry in Europe. With a unique combination of artificial intelligence, machine learning and Big Data analytics, they can plan, execute and monitor their clients' campaigns faster and more efficiently. This allows them to help their clients manage complex campaigns more easily and quickly, while reducing costs. This type of technology provides a unique solution for PR professionals to manage campaigns faster and more efficiently.

FDS enables their clients to manage complex campaigns on a single platform, resulting in faster, more efficient and cost-effective campaign planning, execution and monitoring. Their technology offers a number of features, including a campaign dashboard that simplifies campaign analysis, monitoring and reporting. Clients can also access relevant data in real time to manage their campaigns faster and more efficiently.

By leveraging technologies like artificial intelligence and machine learning, FDS and other companies can manage campaigns more easily and efficiently. This means that PR professionals can provide their clients with a better understanding of campaigns and reduce the cost of campaign planning and management. It also allows them to gain a better understanding of campaigns and optimize results. This is a unique and valuable solution that is revolutionizing the PR industry in Europe and beyond.

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The German Media Market 2023 - An Overview

10/14/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

The media market in Germany has changed significantly in recent years. Traditional media, such as newspapers and magazines, have lost importance and revenue, while online media, such as social networks and streaming platforms, have grown strongly. While television will still play an important role in Germany in 2022, the importance of the Internet will continue to grow.

Revenues in the German media market in 2022 will be determined primarily by developments in digital media. For example, digital advertising, video-on-demand (VoD) and social media platforms will account for a large proportion of revenues. The online games business will also become increasingly important.

Print media will still play a role in the German media market in 2022, but their share of revenues will continue to decline. This will primarily affect newspapers and magazines, which are being replaced more and more by digital media. Some publishers are trying to hold their own in the market by also offering their content digitally.

The German media market in 2022 will also be shaped by new technologies such as virtual reality and augmented reality. Developments in the field of artificial intelligence (AI) will also continue to play a crucial role. The use of AI in advertising will help improve the effectiveness of advertising campaigns.

Overall, the German media market will continue to develop in the direction of digitalization and innovation in 2022. Sales will be driven primarily by innovative digital media such as apps, VoD and social media, while traditional media will lose importance.

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Become a Data Scientist - Study Data Science or not?

08/24/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Many students and high school graduates ask themselves what, in view of the future, would be a good and thus above all sustainable career choice.

If there is a fundamental interest and talent in the topics of IT, software, programming and statistics and mathematics, a number of possible courses of study could be listed.

Whoever finds the profession of a programmer or data engineer too one-sided should look into the job description of a data scientist.

In contrast to pure programmers, the profession of a Data Scientist combines planning, programming and statistical analysis and can therefore definitely be considered more diversified.

Currently, Data Scientists are highly demanded professionals in the labor market. However, whether labor demand in Data Science will continue to exceed supply remains to be seen.

Because in addition to the traditional route of studying, e.g., computer science or business information systems or bachelor's and master's degree programs directly in the field of Data Science, there are an increasing number of fast-track courses and private training programs designed to impart the skills in demand on the market in a compact or condensed format.

The increasing number of available Data Scientists, the further globalization and flexibilization and the increasing acceptance regarding the possible elimination of the need for a degree, could lower the salary level again, seen in the long term. At the same time, simpler tasks in the day-to-day work of a Data Scientist will be able to be partially or completely taken over by algorithms due to automation and advances in the field of artificial intelligence / AI.

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