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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 […]

Fundamentals of Prescriptive Analytics

Prescriptive analytics uses historical data to find the best course of action for the future. In a way, prescriptive analytics combines elements from both descriptive and predictive analytics to arrive at actual solutions. The increased preoccupation with everything “data” is now a mainstream trend. The analytics market is expected to reach $190 billion in 2023, growing […]

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 […]

Data Science 101

Data Science is an interdisciplinary field that allows businesses to study and analyze large volumes of data and derive meaningful information from it. It combines elements of artificial intelligence, machine learning (ML), and knowledge engineering to uncover insights from data. Data Science uses ML techniques such as supervised learning, unsupervised learning, deep learning, and reinforcement learning […]