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Doing Business in a Big Data World

Strategy Driven

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

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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. Kent State University in Ohio has integrated AI in its developmental math program.

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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. Dr. Richard Marshall, Esq.,

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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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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. The toy became the official logo of the technology, used by the major Internet players — such as Twitter, LinkedIn, eBay, and Amazon. Source: The Wall Street Journal.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python.

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

Confluent

Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.