Have you ever heard the saying, “A picture is worth 1,000 words”? This statement holds especially true in the field of Data Science. Let’s say you are a data scientist at a top Fortune company, dealing with budget portfolio optimizations worth millions of dollars annually for various clients. It is essential to effectively communicate your […]
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 […]
Will My Career Benefit from Becoming a Citizen Data Scientist?
As a team member within a business environment, you may be familiar with the term “citizen data scientist.” This term has been around for some time and was popularized by Gartner, which defines a citizen data scientist as “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside […]
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 […]
Five Must-Have Characteristics of Extraordinary Data Scientists
There’s no better time than right now to be a data scientist. Despite recent large-scale layoffs in major tech firms, the future is bright for data managers, analysts, data wranglers, and consultants. In fact, the number of jobs requiring Data Science skills is expected to grow by 27.9% by 2026, according to the U.S. Bureau of Labor […]
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 […]
How Can Natural Language Processing (NLP) Help My Business?
Research reveals that the global natural language processing (NLP) market size is projected to grow by $33 billion within the next five years, an annual growth rate of 25%. The use of natural language processing for search capability is ubiquitous – from the Google-type “ask a question and get an answer” environment consumers love to the augmented […]
How Descriptive Analytics Leverages Data for Better Decisions
Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]