August 2023

Learning From Machines

By |August 17th, 2023

Since machine learning models are imperfect, people must understand when to believe a model’s predictions in high-stakes situations. MarkTechPost brought this interesting news to […]

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Building Trust

By |August 16th, 2023

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, it […]

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Predictive Analytics and AI

By |August 16th, 2023

Artificial intelligence (AI) has been helping us in various applications such as customer service, financial transactions, and healthcare. Now researchers have found that AI […]

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Protecting the Data

By |August 16th, 2023

Deep learning training is when a deep neural network learns how to analyze a predetermined set of data and make predictions about what it means. […]

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Data Management in the Financial Sector

By |August 15th, 2023

Data management plays a crucial role in the financial world, where vast amounts of data are generated, processed, and analyzed daily. The financial sector […]

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Data Driven Solutions in Healthcare

By |August 15th, 2023

The United States Department of Health and Human Services (HHS) has pledged $90 million to help reduce health disparities with data-driven solutions. Specifically, this […]

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AI and Data Privacy

By |August 15th, 2023

It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. Some […]

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Technologies That Improve Findability

By |August 14th, 2023

Natural language processing (NLP) and natural language understanding (NLU) are often-confused technologies that together make search more intelligent, ensuring people can find what they want. The […]

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Data and People

By |August 14th, 2023

Is there such a thing as too much data? Many organizations have begun to realize that having excess data does not necessarily translate to […]

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Insight and Strategy

By |August 14th, 2023

Predictive analytics uses historical data to predict future events. Typically, the data is used to build a mathematical model that captures important trends. That […]

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