
Today’s IT environments present unprecedented challenges for IT teams. Doing more of the same won’t cut it if IT teams are to address all of the urgent imperatives of their organizations. One […]
Today’s IT environments present unprecedented challenges for IT teams. Doing more of the same won’t cut it if IT teams are to address all of the urgent imperatives of their organizations. One […]
Ahead of its annual Build developer conference in Seattle, Washington next week, Microsoft today announced enhancements to Azure Machine Learning, its service that enables users to architect predictive models, classifiers, and recommender […]
Almost any article you read about how automation will affect our future can be classified into one of two narratives. The first one is that it will definitely lead to a better […]
I’m a Manager of Data Science & Machine Learning, specialising in design & building of solutions powered by DS & ML for enterprises for their analytics requirements. I have more than 5 […]
Big data and machine learning have become buzzwords we hear thrown around a lot, without necessarily understanding the nuances of each concept. While the two fields certainly aren’t mutually exclusive – and […]
Recent years have seen the rise of automated marketing operations, insights, and data analysis. Marketing and Sales organizations are using data from new sources in innovative ways to holistically inform and improve […]
Key building blocks for applying artificial intelligence in enterprise applications are data analytics, data science and machine learning, including its deep learning subset. Data engineering also plays an important role. In the […]
In an industry such as mining where improving efficiency and productivity is crucial to profitability, even small improvements in yields, speed and efficiency can make an extraordinary impact. Mining companies basically produce […]
Scientists are raising red flags about the accuracy and reproducibility of conclusions drawn by machine learning frameworks. Among the remedies are developing new ML systems that can question their own predictions, show […]
Simply put, machine learning (ML) is a process a software application uses to actively learn from imported data, using it in a way humans would use past experiences as a part of […]