The Exciting and Promising World of Big Data

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The World of Big Data is witnessing exponential growth. If you are talking in terms of petabytes and exabytes then you must be talking about Big Data. From behavior of consumers to mobile videos, Big Data transcends through many aspects of our modern lives. This presentation gets you up and running with the possibilities of Big Data. Read more at: http://www.dexlabanalytics.com/course...

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August Schell

August Schell is dedicated to delivering agile and innovative cybersecurity solutions to proactively defend and protect organization’s data against cyber attacks. Through our proven expertise with cybersecurity services and solutions, we are masters at designing, deploying and implementing highly secure solutions for on-premise and cloud based computing environments.

OTHER ARTICLES

AI and Predictive Analytics: Myth, Math, or Magic

Article | February 10, 2020

We are a species invested in predicting the future as if our lives depended on it. Indeed, good predictions of where wolves might lurk were once a matter of survival. Even as civilization made us physically safer, prediction has remained a mainstay of culture, from the haruspices of ancient Rome inspecting animal entrails to business analysts dissecting a wealth of transactions to foretell future sales. With these caveats in mind, I predict that in 2020 (and the decade ahead) we will struggle if we unquestioningly adopt artificial intelligence (AI) in predictive analytics, founded on an unjustified overconfidence in the almost mythical power of AI's mathematical foundations. This is another form of the disease of technochauvinism I discussed in a previous article.

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The case for hybrid artificial intelligence

Article | February 10, 2020

Deep learning, the main innovation that has renewed interest in artificial intelligence in the past years, has helped solve many critical problems in computer vision, natural language processing, and speech recognition. However, as the deep learning matures and moves from hype peak to its trough of disillusionment, it is becoming clear that it is missing some fundamental components.

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What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

Article | February 10, 2020

In the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are business intelligence,” data warehousing and data analytics.You may wonder, however, what distinguishes these three concepts from each other so let’s take a look. What differentiates business intelligence from the other two on the list is the idea of presentation. Business intelligence is primarily about how you take the insights you’ve developed from the use of analytics to produce action. BI tools include items like To put it simply, business intelligence is the final product. It’s the yummy cooked food that comes out of the frying pan when everything is done.In the flow of things, business intelligence interacts heavily with data warehousing and analytics systems. Information can be fed into analytics packages from warehouses. It then comes out of the analytics software and is routed back into storage and also into BI. Once the BI products have been created, information may yet again be fed back into data storage and warehousing.

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How can we democratize machine learning on IoT devices

Article | February 10, 2020

TinyML, as a concept, concerns the running of ML inference on Ultra Low-Power (ULP 1mW) microcontrollers found on IoT devices. Yet today, various challenges still limit the effective execution of TinyML in the embedded IoT world. As both a concept and community, it is still under development.Here at Ericsson, the focus of our TinyML as-a-Service (TinyMLaaS) activity is to democratize TinyML, enabling manufacturers to start their AI businesses using TinyML, which runs on 8, 16 and 32 bit microcontrollers.Our goal is to make the execution of ML tasks possible and easy in a specific class of devices. These devices are characterized by very constrained hardware and software resources such as sensor and actuator nodes based on these microcontrollers.Below, we present how we can bind the as-a-service model to TinyML. We will provide a high-level technical overview of our concept and introduce the design requirements and building blocks which characterize this emerging paradigm.

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Spotlight

August Schell

August Schell is dedicated to delivering agile and innovative cybersecurity solutions to proactively defend and protect organization’s data against cyber attacks. Through our proven expertise with cybersecurity services and solutions, we are masters at designing, deploying and implementing highly secure solutions for on-premise and cloud based computing environments.

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