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Behind the Screen: How Netflix Uses Data Science?

Analytics Vidhya

Netflix employs sophisticated data strategies to ensure it’s tough to hit the stop button once you start watching, or you can say Netflix uses Data Science. Yep, your weekend binge […] The post Behind the Screen: How Netflix Uses Data Science? That’s no coincidence.

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An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Christina Morillo from Pexels Introduction The current decade is a time of unprecedented growth in data-driven technologies with unlimited opportunities.

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Mastering the Art of Data Science Strategy: A Conversation with AI Visionary Vin Vashishta

Analytics Vidhya

Dive into the transformative world of data science with Analytics Vidhya’s groundbreaking series Leading With Data. In this exclusive interview from the series, Kunal Jain, CEO of Analytics Vidhya, engages in a riveting conversation with Vin Vashishta, a distinguished AI leader.

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Data Science Success – 3 Tips to Consider

Data Science 101

Previously, we looked at some Challenges of Data Science Projects. Below are 3 techniques to help your next project become a data science success. Data science is no different. Monica Rogati, one of the early pioneers of data science, has put together a Data Science Hierarchy of Needs.

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365 Data Science Courses Free Until November 21

Smart Data Collective

A recent survey found that a stunning 47% of companies have only a limited data strategy. One of the biggest reasons that companies don’t have better data strategies is that employees aren’t educated about the merits of big data. Consider Signing Up for 365 Data Science Courses This Year.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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Challenges of Data Science Projects

Data Science 101

It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Thus, companies need to be very careful about running data analytics projects. There are many reasons for the failure of data science projects. However, the data science did not fail.