Data Science

Data Science: Interview with Admond Lee, Data Scientist at Micron

Admond Lee is a data scientist, speaker, and data science contributing author at several publications including Towards Data Science, KDnuggets, and AI Time Journal. He has recently been nominated as one of the AI Time Journal inspiring data scientists to follow in 2020. We thank Admond for sharing such accurate insights in this interview, including …

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Data Science: Interview with Vijay Pravin Maharajan, Data Analytics Expert, Siemens AG

Vijay Pravin Maharajan is a TEDx Speaker and a Data Analytics Expert at Siemens AG. He has recently been featured as of one of the AI Time Journal data scientists to follow in 2020. We thank Vijay for sharing how he got into data science and touching on several key aspects of being a data …

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What is Mobile Intelligence? And How AI is Powering Mobile Intelligence?

Artificial Intelligence is considered the modern era of innovation that has transformed the digital age. Smartphones are already an example of how our mobile devices have become more intelligent and how AI is powering the future intelligence of mobile devices is yet to be explored. Today, businesses and mobile manufacturers are collaborating to build hardware …

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Interview with Evan Shellshear, Head Of Analytics at Biarri

Evan Shellshear is the Head Of Analytics at Biarri, a company that applies advanced mathematical approaches to solve a wide variety of business problems. In this interview, Mr. Shellshear deconstructs how companies can leverage AI and predictive analytics to aid decision makers, while providing an overview of several technologies and best practices required in the …

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How To Make Data Analytics Simpler And Better At The Same Time

Imagine how much better a business could perform after its employees removed their collective blindfold.   This is not to say that the world’s workforce is literally going about its business with eyes closed, but that those eyes aren’t nearly as open as they could be — or should be! I’m specifically referring to organization-level …

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