Image Distribution
As your team invests significant time and resources developing models, it is imperative that processes are put into place to protect and maximize the return on that inves...
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How Logical Data Fabric Accelerates Data Democratization
Despite recent and evolving technological advances, the vast amounts of data that exists in a typical enterprise is not always available to all stakeholders when they nee...
A Step By Step Guide To AI Model Development
In 2019, Venturebeat reported that almost 87% of data science projects do not get into production. Redapt, an end-to-end technology solution provider, also reported a sim...
Graph Neural Networks Combined with Semantic Reasoning Deliver ‘Total AI’
The ability for machines to reasonnot just identify patterns in massive data amounts, but make rule or logic based inferences on domain specific knowledgeis found...
Machine Learning Perspective on the Twin Prime Conjecture
This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to interesting, new findings about twin primes....
Interpreting Image Classification Models via Crowdsourcing
Unsplash image Students at Delft University of Technology, the Netherlands carried out a crowdsourcing study as part of the Crowd Computing Course designed by Asst. Prof....
Elevate your Employee Recognition Program with HR Tech
Recognition of employees has long been a cornerstone of good administration. However, as the battle for talent heats up, how businesses appreciate their employees is m...
Big Data Analytics: The Role it Plays in the Banking and Finance Sector
The finance industry generates a huge amount of data. Did you know big data in finance refers to the petabytes of structured and unstructured information that helps antic...
Data Labeling for Machine Learning Models
Machine learning models make use of training datasets for predictions. And, thus labeled data is an important component for making the machines learning and interpret inf...
The Growing Impact of AI in Financial Services: Six Examples
Financial markets are constantly evolving, facing some of the biggest challenges in their history like full digitization of markets, technology-driven disruption, reduced...