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How universities are using AI to power operational efficiency

Trigent

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Placement assistance : AI-powered platforms and digital analytics can help universities to manage placement and alumni efficiently.

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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

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Guidance Software Federal Summit 6 March 2014

CTOvision

As an information security trailblazer, Mr. Bigman participated in developing security measures for Government computers well before commercial industry found the Internet. He then developed creative solutions to allow the CIA to use the Internet to further its mission without exposure. Mary’s University School of Law.

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Mapping China by the Numbers: Organizing to Win

The Cipher Brief

Machine learning and natural language processing systems are required to do this at scale: the Chinese Knowledge Resource Database, for example, has over 71 million academic journals. It requires investigative techniques, combined with advanced analytical tooling, to identify the systems which pose risk. Innovation Activity.

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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. Overview of Rockset technology.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python. You need to think about the whole model lifecycle.