Top Artificial Intelligence software in 2019
Salesforce Einstein:
The Salesforce Einstein is an AI platform that creates recommendations and predictions based on business process inputs and customer data. This platform is used to automate customer-facing responses to optimize productivity and customer relationship.
IBM Watson:
IBM Watson is a highly efficient AI software that is capable of learning more with very few data points. Companies even leverage IBM’s industry expertise to optimize their own business processes. This software allows businesses to build models from scratch or use an existing pre-trained business solution.
Deep Vision:
This facial recognition model monitors demographic variation for any geographic location to understand behavior. Companies use this model to decode customer patterns and design their marketing campaigns accordingly. This model can also be used for predictive analysis and target potential leads.
Cloud Machine Learning Engine:
A cloud-based predictive analytics modeling platform, Cloud Machine Learning Engine works on both large and small size data to provide insights on different business processes. Companies have built secure infrastructures, APIs, data analytics, developer and machine learning tools using this model.
Azure Machine Learning Studio:
This provides an interactive platform for predictive analysis. The drag-and-drop feature provides an easy to use interface to create innovative cloud-based apps and edge computing. Azure Machine Learning Studio also offers infrastructure, AI services, and tools for developing intelligent solutions.
Nvidia Deep Learning AI:
A suite of products dedicated to deep learning and machine intelligence, this software helps organizations with smart and predictive analysis. Used by government and businesses alike, the Nvidia deep learning AI provides an adaptive platform for all kinds of analytical insights.
Playment:
Playment is a data labeling platform that prepares training data for computer vision models at scale. It specializes in data relating to an autonomous vehicle, drones, mapping, and similar spaces that require high precision annotation.
Source: Internet