Key Ways AI/ML-based Forecasting Boosts Business Results
Learn how you can apply artificial intelligence and machine learning to your forecasting to flexibly prepare for any conditions, at any time – with maximum scalability.
Insights
Solving the World's Unsolved Problems
Why Kubeflow Makes Sense for Retail Forecasting
What is Retail Forecasting? Retail forecasting is a difficult problem that has both the elements of scale (store/SKU counts that are often in the 10’s of millions) as well as the complexity [...]
Vision AI: Do you have something that looks like this?
Using Google’s Cloud Vision Product Search to Drive eCommerce Sales Customers expect significant convenience while shopping online. Product search is the key to conversion and customer loya [...]
Deployment of SAS® Viya® 3.5 on Azure Container Services
Full deployment of SAS® Viya® 3.5 on Azure Container Services Background SAS® Viya® can be deployed within container-enabled infrastructures, including Docker and Kubernetes, which are oft [...]
How to Build Pivot Tables in BigQuery Fast and Easy
A Fast Approach to Building Pivot Table / Transpose Functionality into BigQuery Background Transposing or pivoting a table is a common operation in data analysis, however, BigQuery does no [...]
SAS Grid Performance Benchmarking with Lustre and SPDS on Microsoft Azure
How to Benchmark the Performance of a SAS Cloud Migration using Lustre & SPDS on Microsoft Azure Background As organizations migrate analytic workloads to the cloud, their roadmap need [...]
Google Big Query Storage API Benchmark
How to Benchmark and Increase the Performance of BigQuery Using the BQ Storage API Why BQ Storage API? Google Big Query (BQ) is a serverless, highly scalable and cost-effective Cloud Data [...]
Auto Scale EMR to Unleash Business Analysts’ Capabilities
Auto Scale EMR: Enables Analysts to Cut Through the Flood of Data Introduction Business analysts are increasingly tasked to analyze large volumes of analytic data and share insights to hel [...]