From the course: The New AI Tech Stack: AI Literacy for Tech Leaders

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Working with data: Challenges and best practices

Working with data: Challenges and best practices

From the course: The New AI Tech Stack: AI Literacy for Tech Leaders

Working with data: Challenges and best practices

- Data is still one of the main headaches for companies who want to do data science. Since most companies are at the beginner level, they face a lot of data challenges. Let's go through those challenges one by one and talk about real-life solutions. The first challenge is narrow or poor-quality data. The solution is prepare data for future purposes. Don't just hold data that you already have, think about the future. If you have small data, follow the options in the previous video, "Big data and small data." The next challenge is not appreciating data. Many companies are like dragons who sleep on gold. Companies, even the ones who have data, often struggle with understanding its importance, and its key value in the whole data science ecosystem. The solution is education and introducing proper data managing processes. The third challenge is about talent. Data experts are still scarce, and data awareness in companies is relatively low, which makes it hard to introduce data-related…

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