Visual Intelligence has evolved to a new state, where the combination of real-time analytics with data, images, visuals and other unstructured formats in massive scale can provide greater value.
An omnichannel customer experience requires not just chatbots and automated responses, but the smart integration of voice, data and social sentiment with visual and conversational intent.
According to Forrester Research, “63% of customers will leave a company after just one poor experience, and almost two-thirds will no longer wait more than two minutes for assistance.”
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.
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 [...]
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 [...]
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 [...]
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 [...]
