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Mindbreeze Classification: Customer Sentiment and Prediction Service
Automatic classification of text is a crucial machine learning tool for every enterprise. With the Mindbreeze Classification Service, administrators with no prior AI experience can deploy custom models to detect, for instance, customer sentiment.
Classification with Mindbreeze Insight Services
Mindbreeze’s Classification Service allows anyone to become an AI expert with no code required. Our built-in machine learning model is easy to modify and adapt to your most pressing business needs.
Rule-Based Extraction and Entity Recognition
Using rule-based extraction and enrichment, it is possible to easily and with a large amount of flexibility, extract different entities based on your own defined rules.
Entity Recognition: A Key Enabler for Optimizing Workflows
Entity recognition is a key enabler for optimizing workflows at your organization, providing users with meaningful insights extracted from their data.
Entity Recognition Insight Service with Mindbreeze InSpire
Have you ever been reading a long document or article just waiting to find the key points and what information is helpful to you?
Are You Familiar with Mindbreeze Insight Services?
Here at Mindbreeze, all insight services are available to our customers out of the box. Each service is highly configurable to the individual requirements of the end-user.
Mindbreeze Insight Apps: What’s Your Business Objective?
Developing an insight app without a concrete business need for a specific department or functional area is like hopping in your car and heading on a road trip without any directions.
Intelligent Sales and Integration into Salesforce with Mindbreeze InSpire
While retaining and hiring good people and having an excellent product is critical, this blog will look at the everchanging task of acquiring new customers and using artificial intelligence to help you do so.
AI-Based Content Labeling with Insight Services
AI-Based content labeling with insight services brings the full potential of artificial intelligence to the user’s fingertips. In the below video blog, Patrick will explain how this looks while providing a real-world example.
What Should You Know About Applied Intelligence vs. Artificial Intelligence?
Data is crucial to AI systems (like an insight engine) and needs to be utilized to make them more intelligent and equipped to handle users' on-the-spot needs.
Interdisciplinary Innovation is Essential for Digital Transformation
Innovation stems from a hunger to want to do things better. Innovation takes place in many forms – from a workout routine, designing a car, or transforming old business processes.
Knowledge Enhancement Through Augmentation of Information
When training machine learning models, data augmentation is a popular technique to enhance the performance of deep learning neural networks. The amount of data available plays a critical role in how accurately and quickly a training model can learn – this leads to more robust deep learning.