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News / Blog: #data

What is a Tech stack?

12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A tech stack is a set of technologies used to develop and implement a piece of software or service. It usually consists of a combination of client-side and server-side software, databases, frameworks, programming languages, and other technologies needed to fully execute the program.
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What are common problems with data analysis?

12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

1. Incomplete or inaccurate data: Incomplete or inaccurate data can lead to poor results.

2. Unclear goals: To successfully analyze data, one must have clear goals and expectations.

3. Insufficient data collection: if the data is not collected properly, the analysis may be biased.

4. Insufficient resources: successful data analysis sometimes requires a lot of resources, such as hardware and software.

5. Missing or inconsistent metadata: Metadata is important to assess the quality of data.

6. Insufficient knowledge: A lack of expertise and experience can lead to poor results.

7. Data integrity issues: If data is not properly validated, it can lead to erroneous results.

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How does Artificial Intelligence help with Search Engine Optimization (SEO)?

12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Artificial intelligence can help improve SEO results by supporting SEO algorithms that help analyze, categorize, and optimize website content. AI-based SEO tools can then use the data to improve websites on relevant search engine rankings. AI can also be used to automatically identify keywords that best match a particular topic, as well as to monitor and improve the number of backlinks a website has. In addition, AI can also provide webmaster tools to monitor and improve website performance.
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What does artificial intelligence do for companies?

12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Artificial intelligence (AI) can help organizations manage resources more efficiently, accelerate the discovery of patterns, trends, and relationships, and support decision-making. AI technologies can be used to analyze data and make decisions. These include machine learning, neural networks and deep learning. AI systems can also help improve the customer experience by providing automated chatbots to answer questions and handle customer concerns faster. AI can also help companies make predictions and provide more accurate forecasts for product development, customer service, and advertising.
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What is a Hashtable?

12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A hashtable is a special type of data structure used to store and retrieve data quickly. A hashtable uses a hash function to associate a keyword with a specific value. This value can be an object, a value, or some other type of data. Hashtables are often used in computer programs to quickly retrieve and store data.
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