A 7-Step procedure for building a Data Science Model

The importance of data science is very clear as it is termed as the sexiest job of the 21st century. Enterprises are deploying AI projects for multiple numerous across different industries. All data science project deployments are built on a clear understanding of the business problem with AI/ML algorithms applied to the problem, which leads to a data science model, addressing the business needs.

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Evolve: Operationalizing diversity, equity, and inclusion in your AI projects

Over the past couple of years, the field of AI has been awash in concerns over ethics and fairness in AI. At the same time, the world has awakened to the deep-seated, structural problems of racial injustice. The two are inextricably linked. AI is one of the most powerful technological transformations we’ve seen — part of a thread that begins with the rise of the personal computer and runs through the explosion of the internet and through the mobile revolution. It has the power to do great things but is commensurately dangerous.

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