There are, of course, many other factors that go into choosing a big data vendor, such as how large they are, the agreements or conflicts over how to use the data, and the numerous partnering options to figure out. But one of the most important choices to make is to find one that uses machine learning.
How vendors handle their machine learning capabilities plays a large role in finding the right vendor for a particular business. For one thing, while a vendor may be skilled at implementing machine learning and using it for predictive analytics, they need to be able to offer predictive modeling tools that those within the business will find easy to use. In other words, the machine learning solutions need to be usable by people who may be unfamiliar with the specifics of big data analytics. The machine learning also needs to be able to incorporate a company’s collected big data that has been stored on-site or in the cloud, while also feeding into the business’s already existing processes. This adaptability for working with stored big data applies not just to large businesses but smaller ones as well since flash storage has become more affordable. So what is flash storage? It essentially allows for high capacity storage and high performance processing and scalability without the moving parts associated with hard disks. It has become an essential component in the ongoing adoption of big data and machine learning in the enterprise.
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