Analysis Annotation Learning Management 
Smart Data Collective
JULY 1, 2023
One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. It involves human annotators using a tool to label images or tag relevant information. The resulting structured data is then used to train a machine learning algorithm.
Smart Data Collective
JUNE 22, 2023
Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Amazon has a very good overview if you want to learn more.
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CIO
AUGUST 24, 2023
Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.
Netbasequid
APRIL 8, 2022
In this two-part series, we interviewed NetBase Quid TM Data Scientist, Michael Dukes, to help us break down precisely what sentiment analysis is, how it works, and the technological processes that differentiate “accurate” from “okay” analyses. Q: What are the problems with deep learning? Inexplicability.
Alpha Sense BI
SEPTEMBER 28, 2023
To stay ahead of new trends, identify risks and opportunities, and gain competitive advantages, you need the ability to conduct deeper market analysis that goes beyond simply consuming information but that helps you make smarter decisions and build better strategies. And yet, not all market analysis is created equal.
GrowbyData
MARCH 16, 2023
Ad Intelligence gives digital marketing managers, merchandise managers, and ad agencies multi-dimensional views in near real-time into their competitor’s ad quality, competitive pricing, promotions, and product content across all advertising platforms. Why do brands and retailers need Ad Intelligence? in your competitive landscape?
CIO
AUGUST 1, 2022
In a distributed learning setup, data from different hospitals must be brought together to create a centralised data repository for model training, raising lot of concerns on data privacy. Federated learning is a method of training AI algorithms with data stored at multiple decentralised sources without moving that data.
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