Natural Language Processing helps subject matter experts reduce the amount of time they spend analyzing text. Some of the best tools however require engineers to set up and configure. This dependency on IT delays projects because of competing priorities. When… Read More »Text Analysis: Understand sentiment, topics and tone without coding

Training Machine Learning (ML) models can take a lot of time and consume a lot of computing power. This can be also true for testing the models if your datasets are large enough. These operations are resource-hungry and can paralyze… Read More »Training Machine Learning Models in the Cloud

Insight Automation Platforms have the work cut out for them: delivering on the promise to fully automate the process of going from data to insight requires a significant engineering effort and close collaboration across multidisciplinary teams that rarely work together.… Read More »Insight Automation: The Future of AI in the Enterprise

An AI proof-of-concept (POC) can help you measure business benefits without having to invest in a full-blown implementation. Read below for a step-by-step approach to implementing a POC in your organization. In the same way you test-drive a car before… Read More »How to Implement a Winning AI Proof-of-Concept

Practical advice for people using Excel data analysis functions. Excel is the go-to tool for most business users. While Excel is a very powerful tool, it wasn’t designed to enable certain data analysis tasks. Excel users know that when it… Read More »Excel Data Analysis

Practical advice for non-technical entrepreneurs looking to integrate AI and machine learning into their products and services. You have a startup and you are developing a product that uses data to provide value to your customers. You have been thinking… Read More »Integrating AI into your Product