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Data Analytics Helps with Competitor Research

Smart Data Collective

A growing number of companies are using data analytics to handle a variety of important functions, including researching their competitors. We have talked about some of the ways that companies can use data analytics to research competitors on social media. Why is competitor research so important? But is it just a boring slog?

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IT Hardware Startups Turn to Data Analytics for Market Research

Smart Data Collective

One of the biggest ways that data analytics is changing marketing is that it can help with marketing research. Startups require a solid foundation founded on extensive market research to flourish in this volatile climate. To protect your hardware designs and branding, you may need to apply for patents, trademarks, or copyrights.

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Is Unstructured Data the Future of Data Management?

Dataversity

Data can be used to enhance AI capabilities, create personalized experiences, or be applied in medical research to help save lives. In an increasingly tech-reliant world, data informs and powers much of our day-to-day lives. However, the biggest question remains: What is the best method to store, […].

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Five Ways Multi-Cloud Is Accelerating Medical Science

Dataversity

Research scientists and health care professionals are taking part in a new era in medicine. More data is being collected and analyzed than ever before in both clinical and research settings.

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AI is Disrupting SEO in Huge Ways in 2023

Smart Data Collective

Marketing companies spent over $35 billion on AI in marketing research alone last year, but they are likely to spend as much on AI-driven SEO. Before you can learn how to apply AI in SEO, you need to understand what SEO is in the first place. They include the following: Keyword research. That’s keyword research in a nutshell.

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Promising Benefits of AI in the Financial Technology Market

Smart Data Collective

For example, banks now apply AI to assess credit risks with high accuracy. How do fintech companies apply artificial intelligence? Modern fintech and established financial services companies apply artificial intelligence in many ways in their businesses. A lot of time and effort is dedicated to research in investment firms.

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Garbage In, Gold Out!

Timo Elliott

For example, researchers have shown that large language models like GTP-4 can decipher even very scrambled sentences: A personal example: my daughter recorded a short section of her economics class (with permission). Large language models are good at figuring out what we meant, and the principle applies to many real-world data problems.