Artificial intelligence (AI)-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn’t. AI can also deep dive into data analytics about customers and offer predictions about consumer preferences, product development and marketing channels. This interesting information came to us from IT Web in their article, “The (near) future of AI in data analytics.”
As this technology continues to infiltrate almost every sector, and some trends come to the fore, it’s important for data analysts and professionals to understand how it will impact their field moving forward.
What is the difference between data analytics and AI? While AI involves data analysis, making assumptions and seeking to make predictions that are beyond the capacity of humans, data analytics works by detecting patterns based on historical data to anticipate future events.
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