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Predictive Analytics Use Cases for Citizen Data Scientists

Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions. Those organizations that provide self-serve augmented analytics to their business users can achieve market goals and stay abreast of the competition with fact-based decision-making and a team that leverages analytics daily to make those […]

Assumptions in Regression: Why, What, and How

“Garbage in, garbage out” defines the importance of data in data science or machine learning in a nutshell. Incorrect input will yield meaningless results and screening data ensures we get comprehensible results. Before we start building models and generating insights, we need to ensure that the quality of the data we are working with is […]

Data Science vs. Machine Learning vs. AI

In the data economy, data is king. Today, any business – small, medium, or large – thrives on its data assets. The recent trend of offering data-driven insights as a service has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops of ordinary business users, […]

Are Data Scientists Needed in the Self-Service Analytics World?

As the world becomes increasingly data-driven, businesses are turning to self-service analytics to enable business users to perform their own data analysis tasks. In self-service analytics, business users can access and analyze data without assistance or support from IT personnel or data scientists. Direct access to ML-powered analytics platforms allows them to make better business […]

Why Geospatial Data Should Be Easily Accessible for Every Employee

Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness geospatial data’s potential.  Why? Because geospatial data is voluminous, complex, and often distributed across multiple […]

How to Build a Career in Data Science

Considering a career in Data Science? Good news: The U.S. Bureau of Labor Statistics estimates that the employment rate for data scientists will grow by 36% between 2021 and 2031, with 40,500 more jobs expected to be created in that time. As the amount of data generated globally increases at a rapid pace, so too does the […]

The Democratization of Data Science and AI: When Anyone Can Advance a Field

“The democratization of data science” or the “democratization of AI” have long been popular buzz phrases. “Citizen data scientists” poke through open-source datasets finding valuable insights and sharing them with the world out of an individual sense of curiosity. And although this absolutely does happen, the reality is most of the time these democratized advances have not […]