Azure Batch is designed to run parallel computing in the cloud across many nodes that can scale based on the workload being executed. It’s a perfect fit for parallelizing ETL or AI use-cases.
Parallel Computing is the process of running different tasks at the same time. In training and building AI and Machine Learning, algorithms parallelism is often crucial for the following use-cases.
IBM has recently released their newest version of their core BI software, Cognos Analytics 11.1.0. We've been able to give their demo environment a first test drive and are very keen to share with you our first impressions.
The war on talent is affecting most industries, but none more than the IT field. It is increasingly difficult to find quality data professionals and to hold onto these talented individuals.
If you want to start a new software project today, you will likely be looking at Python for your codebase. It's easy to use and allows for quick development thanks to the many great third party libraries.
In machine learning, normalization/standardization involves feature scaling, where the features (variables) used for making predictions are scaled to the same range of values. The feature scaling process is applied in the data preprocessing step...
Azure Databricks is an Apache Spark-based analytics service that allows you to build end-to-end machine learning & real-time analytics solutions. Azure Databricks offers all of the components and capabilities of Apache Spark with a possibility...
Event organized by Moore Stephens and element61 in collaboration with Trends, which brought 3 top speakers to talk about "Artificial intelligence" and what this means for our future.
What’s a DMP? A DMP is a data management platform typically used in digital marketing & advertising to collect, build & distribute target audiences across various platforms. It typically acts as the heart of a Marketing organization as...
