A comprehensive collection of tools, libraries and resources that allows data scientists and machine learning engineers to build and deploy ML-powered business applications. ML platforms automate the delivery life-cycle of predictive applications capable of processing big data using machine learning algorithms.
Quickly evaluate top vendors using our comprehensive market report. Compare product features, vendor strengths, user-satisfaction and more.
Don’t settle for just any vendor – find the one you can trust. Use the Emotional Footprint report to see which vendors treat their customers right.
Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no tools to help implement these principles have existed – until now.
Recently I attended the inaugural Emotion AI conference, organized by Seth Grimes, a leading analyst and business consultant in the areas of natural language processing, text analytics, sentiment analysis, and their business applications. So, what is emotion AI, why is it relevant, and what do you need to know about it?
SortSpoke’s novel approach to machine learning answers a longstanding problem in financial services – how to efficiently extract critical data from inbound, unstructured documents at 100% data quality.