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 apply data analytics about customers to predictive algorithms about their preferences, including informing 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 trends emerge, it’s important for data analysts and professionals to understand how changes will impact their field moving forward.

The difference between AI and data analytics is important. While AI involves data analysis, making assumptions, and making predictions using calculation speed and memory beyond human capacity, data analytics simply detects patterns based on historical data that can be used to anticipate future events, whether by AI or human insight.

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Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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