Predictive analytics powered by AI can take the data you already have, and unlock immense value from it. We can’t deny the fact that predictive analytics is a vital resource for companies with big data sets. With this the use of AI and machine learning at companies of all sizes and in various industries — from retail and ecommerce to financial services and insurance — continues to grow steadily. A survey reveals that, more than 50% of marketers said they plan to generate customer insights from predictive solutions in the coming years. 86% of marketing leaders deem predictive analytics critical or very important for their customer engagement efforts.



For instance the healthcare sector is the most critical sector, you want to respect the patient, understand the way operations are happening, how patients are monitored, how things can become more effective for nurses in how they administer treatments, all these kinds of aspects. By knowing all this, your solution - your technology - will be different and more effective. It’s basically a single source of truth, through which you’re getting data from the different critical systems in the data centre and you are bringing them together to really get the key outcome. By having this information available, you can far easier understand a problem, go deeply into it, find its root cause and then solve it faster.

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Predictive analytics models are going to be the road ahead.