Data Science News, Articles, & Education Archives

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 […]

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 […]

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 […]

As a word, “semantics” was first used by Michel Bréal, a French philologist (a language historian),in 1883. He studied how languages are organized, how languages change as time passes, and the connections within languages. Gen erally speaking, semantics is the study of language and its meaning. More specifically, semantics can be used to describe how […]

Data and analytics are helping change the business world and as we head into 2023, this is the right time to predict how to work with data, by getting ready with the new year’s top data and analytics trends. Some of the top data-related trends driving the market today include advances in Data Science, data […]

Surprising though it may sound, most AI business applications remain rudimentary. Some industry spectators believe the market is flush with cutting-edge AI breakthroughs. But in truth, many providers mislabel rules-based tools – including robotic process automation (RPA) – as AI and ML. Seasoned DevOps teams and software engineers know that RPA – although useful in […]

AI and data science have remained areas of focus in the last year and will continue to be top of mind for many tech companies in the coming year. Wearables, especially those with health monitoring capabilities, have also grown abundant as medical and consumer companies alike ramp up their offerings in response to increased demand. […]

While Data Science practitioners, aspirants, and enthusiasts often get caught up in the business benefits of Data Science, it is equally important to keep a close watch on the common pitfalls that need to be avoided to launch a successful Data Science project. By identifying and exploring why some initiatives fail, data scientists can learn […]

It’s been an exciting year in AI, machine learning, and NLP, with text-to-image generators and large language models delivering some very impressive results and a lot of promise for the future – while noting all of the important caveats about their shortcomings including mitigating societal biases, the possibility of them being used to generate “fake […]

As businesses plan for data democratization, it is essential to include a strategy to ensure that business users will accept augmented analytics solutions and adapt to the new citizen data scientist role. With business users on board, the enterprise can capitalize on its strategy and optimize return on investment (ROI) and total cost of ownership (TCO) […]