Artificial Intelligence

 

Strategy Analytics has 40 years experience analyzing trends and separating hype from reality. For businesses to remain competitive, the need to quickly assess where to invest, how to measure progress, determine partners and toolsets and understand your customers needs are all too apparent. In the posts below we watch announcements, analysis and commentary and bring our own insight to the process.

 
 

How do you measure your return on AI investment

How do you measure your return on AI investment?

What criteria should you use to assess AI and technology partners for your business?

What criteria should you use to assess AI and technology partners for your business?

What data should you capture to understand your customers and how can you make sense of it?

What data should you capture to understand your customers and how can you make sense of it?

How can AI separate data from significant data


Strategy Analytics Executive Insight:


We know more about our customers than ever before, right?
Well, we have more data than ever before, but cutting through that data to understand what is insightful is proving to be more tricky.

Where do you begin to find customer insights in data overload?

Strategy Analytics Executive Insight



to view our indepth analysis




Original Article
Dec 03, 2019

Robert Daigle, Lenovo "we must carefully leverage and interpret the vast amounts of data—if not, we risk data becoming a cost burden, adding more noise instead of providing insight and order."

https://aibusiness.com/democratizing-ai-providing-smarter-technology-for-all/


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