Operationalizing AI and ML for Business Outcomes
Enterprises must take action to move past the hype of AI and ML and actually operationalize these tools.
Enterprises must take action to move past the hype of AI and ML and actually operationalize these tools.
AI’s future in the supply chain seems assured as the pandemic accelerates AI adoption in various industries.
Transformers are changing the field of natural language processing with an approach known as Attention.
The pandemic has forced executives to rethink how they deploy new AI initiatives and optimize AI resources.
Graph analytics is being used across industries for different reasons.
Analytics adoption across industries is on the rise as enterprises focus on operational resilience, democratization of insights…
Venkat Viswanathan is Founder and Chairman of LatentView Analytics, a marketing analytics and decision science company. More t…
This is a most unusual back-to-school season. What else is there to say when many students spent their summer cooped up in Covi…
Traditionally viewed as a stodgy industry, insurance is slowing playing catch-up with the help of technology. The use of techno…
Selling products by video is not new, Home Shopping Network and QVC QVCA +3.2% have been doing it for decades. But shoppable li…
In a 2018 review by the National Science Board, on international assessment tests, 15-year-olds in the US scored below the glob…
A wide variety of data visualization techniques can be used to help business users find the meaning in BI and analytics data. V…
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Copyright © 2023 LatentView Analytics
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