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What’s the most valuable asset to modern businesses? Aside from brand recognition, data is a huge one. Without data, a company won’t be able to identify market patterns, and recognize internal problems that can then be addressed. While collecting data has been a rather tedious task in the past, a neural network chip takes it to the next level.
You have probably heard of a neural network processor, and how it can generate words and images with a few simple prompts. However, you may not know that deep learning neural networks are also a powerful tool for extracting and understanding vast amounts of information.
A neural network processor refines data collection
There are several ways that artificial intelligence can be called upon to collect and sort data from external sources.
Since there is such a large amount of data available to be gleaned, you need to be more selective about what’s important to your operation. This early step allows you to set the parameters for the types of information you want the AI to collect. (On that note, AI can be used to collect several types of information: text-based, as well as visual data.)
The next step is filtering out data that isn’t useful, as well as organizing the data for closer inspection. From there, the datasets are made into data mining models for a neural network chip to use.
These models are used to evaluate the information by combing it for associations, as well as classifying the information. This step is made much more efficient with help from a neural network accelerator chip that can process vast amounts of information quickly.
Drawing conclusions and making predictions
This is where neural network processors really shine in data mining. Once the algorithms have sorted and cleaned all of the collected data, it can deliver results that will benefit your company.
One way is by presenting relevant datasets that show you market insights, including customer demographics. From here, you can make high-level decisions about how to best make use of the data, such as tailoring your products/services.
However, perhaps the most impressive result of combining AI and data mining is inferencing. This calls upon a neural network accelerator chip to make predictions based on the data it collected. This is not only useful internally, but could be used by an investment firm to predict which stocks will do the best for their clients, as one example.
Because deep learning neural networks can learn (as the name suggests), it can even make predictions when some data is missing. It’s similar to how your brain would make an educated guess based on existing knowledge.
To summarize, neural network chips can help the data mining process by:
- Using trained models to identify different types of information
- Cleaning to filter out data that isn’t useful
- Identifying patterns/associations among large swaths of information
- Delivering actionable results/predictions
With the power of AI, you can make data mining easier and more powerful – so your human teams can make more intelligent decisions. Learn more about the benefits of a neural network accelerator chip from Habana Labs.
