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Solutions Architect's Handbook
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In the previous chapter, you learned about ingesting and processing big data and getting insights to understand your business. In the traditional way of running a business, the organization's decision-maker looks at past data and uses their experience to plot the future course of company direction. It's not just about setting up the business vision but also improving the end-user experience by predicting their needs and delighting them or automating day-to-day decision-making activities such as loan approval.
However, with the sheer amount of data availability, now, it's become difficult for the human brain to process all data and predict the future. That's where machine learning (ML) helps us predict future courses of action by looking at a large amount of historical data. Most enterprises are either investing in ML today or planning to do so. It is fast becoming the technology that helps companies differentiate themselves—...
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