Best Machine Learning Software for Microsoft Word

Find and compare the best Machine Learning software for Microsoft Word in 2024

Use the comparison tool below to compare the top Machine Learning software for Microsoft Word on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Grooper Reviews
    BIS, a company that has 35 years of experience in developing and delivering innovative technology, built Grooper from the ground up. Grooper is an intelligent data processing and digital data integration tool that allows organizations to extract meaningful information out of paper/electronic documents, and other unstructured data. The platform combines advanced image processing, capture technology and machine learning with optical character recognition to enrich data and embed human comprehension. Grooper is a foundation for many industry-first solutions, including in healthcare, financial services and education.
  • 2
    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
  • 3
    SAS Visual Machine Learning Reviews
    SAS technologies combine to provide powerful tools for visual information. You can access, manipulate, analyze, and present information in visual formats. SAS Visual Machine Learning allows you to expand your analytics by using machine learning and deep learning capabilities. This makes it easier to visualize and report better. Visualize and discover relationships in your data. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes to make data-driven, smarter decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions. A comprehensive visual interface allows you to solve complex analytical problems. It handles all aspects of the analytics lifecycle.
  • 4
    CognitiveScale Cortex AI Reviews
    To develop AI solutions, engineers must have a resilient, open, repeatable engineering approach to ensure quality and agility. These efforts have not been able to address the challenges of today's complex environment, which is filled with a variety of tools and rapidly changing data. Platform for collaborative development that automates the control and development of AI applications across multiple persons. To predict customer behavior in real-time, and at scale, we can derive hyper-detailed customer profiles using enterprise data. AI-powered models that can continuously learn and achieve clearly defined business results. Allows organizations to demonstrate compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform is designed to address enterprise AI use cases using modular platform offerings. Customers use and leverage its capabilities in microservices as part of their enterprise AI initiatives.
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