Building and Leading a Privacy-First Startup – Interview with Daniel Huynh

We thank Daniel Huynh from Mithril Security for taking part in the Data Science Interview Series and sharing several insights, including: Getting Started with Privacy-Preserving Technologies Building a Privacy Tech Startup Challenges in Deploying Privacy-Preserving ML services Academic Background Bala: Could you tell us about your academic background? Daniel: I am a recent graduate from […]

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Data Practices in Healthcare with Steve Labkoff

An engaging conversation with Dr. Steven Labkoff about the proliferation of data being collected at healthcare institutions all across North America and how organizations are using this data to leverage their practices through the application of Artificial Intelligence. Dr. Labkoff is the Chief Data Officer at the Multiple Myeloma Research Foundation and is instrumental in

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Bringing the AIoT to Life: Pairing Machine Learning with Streaming Data

The coupling of Artificial Intelligence with the Internet of Things represents a natural progression for applications in both these spaces. Machine learning and AI deliver a number of benefits for the IoT which, because of the rapidity of the data it generates, assists AI in multiple ways. For the IoT, tangible advantages of this combination

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Business Intelligence Reporting Today: The Might of Natural Language Generation

Long gone are the days when organizations were dependent on IT teams for Business Intelligence reporting. Back then, IT teams typically had to adjust data models to facilitate specific questions upfront, were exceedingly slow to change models for any additional questions, and made users wait weeks and months for insights from stale, historic data. Today,

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How to Succeed in Your Data Science Journey – Hear From Mani Garlapati, Google

We thank Mani Garlapati from Google for taking part in the Data Science Leaders interview series and sharing several insights, including: Getting Started with Data Science Essential Skills of Data Scientists Importance of Data-Driven Decisions Getting Started with Data Science Bala: At what point did you realize that you wanted to pursue a career in

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Transitioning to a Career in Data Science with David Regalado

Although beginning a career in Data Science may seem daunting, David Regalado shows us that anyone, regardless of their educational background, has the ability to enter the Data Science field, as long as they have a great amount of curiosity and strong will.  As Regalado discusses, “one of the most important keywords that best summarizes

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