January 2021

Happy New Year!

By |January 1st, 2021

We at Access Innovations wish you and yours a safe, healthy and prosperous new year!

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December 2020

Machine Learning and Marketing

By |December 31st, 2020

Marketing function is evolving rapidly with advancements in eCommerce, digital and mobile, as well as changing consumer demographics. A recent study indicated that e-commerce will […]

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Moving Data

By |December 31st, 2020

The cost of prescription drugs is always a hot topic, from consumers and pharmaceutical companies. How much does it cost to get medicine to […]

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Using Predictive Data

By |December 31st, 2020

The federal government uses automation and better data management to be proactive. They do this with predictive data analytics to provide resources to support […]

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Deep Learning Transformation

By |December 30th, 2020

Deep learning is transforming multiple industries. A type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge, deep learning is […]

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Cloud Computing and Digital

By |December 30th, 2020

The global sheltering-in-place and quarantine has given a huge steroid shot to digital technology and content. This couldn’t have happened without the cloud, and […]

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Digital in a Public Health Crisis

By |December 30th, 2020

COVID-19 has changed many things about health care and health data. Data collection and processing via digital public health technologies are key remedies for […]

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Data Science and AI Together

By |December 29th, 2020

The simplest definition of data science is the extraction of actionable insights from raw data. Artificial intelligence (AI) is the intelligence that is possessed by […]

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Machine Learning and COVID-19 Research

By |December 29th, 2020

In the pursuit of effective treatments for COVID-19, many technologies are being explored, including machine learning algorithms. This interesting news came to us from Health […]

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Addressing Bias in AI

By |December 29th, 2020

Artificial intelligence (AI) systems can unfairly penalize certain segments of the population—especially women and minorities. Researchers and tech companies are figuring out how to […]

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