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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

This is also an important takeaway for teams seeking to implement AI successfully: Start with the key performance indicators (KPIs) you want to measure your AI app’s success with, and see where that dovetails with your expert domain knowledge. This is where expert knowledge AI products can add enormous value to a brand.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

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CIO Bhavani Amirthalingam on driving change in the AI era

CIO Business Intelligence

What key performance indicators are we going to look to say that we are at X, we need to get to Y, and we were able to get there. It has been around since the 1950s with machine learning. High-quality data ensures algorithms are trained effectively, leading to more accurate and reliable AI applications.