OnPoint CORTEX Description
OnPoint’s CORTEX™ serves as a sophisticated analytics platform that utilizes both historical data and the expertise of your process engineers to enhance profits by boosting operational efficiencies, which includes higher production rates and reduced downtime. Unlike basic regression or statistical methods, CORTEX integrates machine learning with powerful computational capabilities, allowing models to derive insights from intricate process data. You can upload your data in its original format, and CORTEX will automatically clean it, fill in missing values, and manage categorical variables effectively. It also provides tools for visualizing and eliminating outliers while permitting the addition of rows and columns to analyze which variables significantly impact your processes. The platform’s unique algorithm spares you the effort of searching for the optimal model, as MaGE generates a diverse range of models along with an optimized ensemble model and delivers performance scores for each. Ultimately, CORTEX empowers users to make data-driven decisions with confidence and efficiency.
OnPoint CORTEX Alternatives
Quaeris
Based on your interests, history, and role, you will receive personalized and recommended results. QuaerisAI provides near-real-time data access for all data. QuaerisAI enhances your data and document workload with AI.
To increase knowledge sharing and track performance, teams can share insights and pinboards. Our advanced AI engine transforms your inquiry to a database-ready language within micro-seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.
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Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Vidora Cortex
Building Machine Learning Pipelines internally can be costly and take longer than expected. Gartner's statistics show that more than 80% will fail in AI Projects. Cortex helps teams set up machine learning faster than other alternatives and puts data to work for business results.
Every team can create their own AI Predictions. You no longer need to wait for a team to be hired and costly infrastructure to be built. Cortex allows you to make predictions using the data you already own, all via a simple web interface. Everyone can now be a Data Scientist!
Cortex automates the process for turning raw data into Machine Learning Pipelines. This eliminates the most difficult and time-consuming aspects of AI. These predictions are accurate and always up-to-date because Cortex continuously ingests new data and updates the underlying model automatically, with no human intervention.
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GiniMachine
GiniMachine, an AI-based solution to automated decision making, is called GiniMachine. It uses advanced machine learning algorithms and historical data from companies to create high-performing scoring models.
It can be used to score credit, collect, or apply, expand marketing (churn prediction), as well as sales (cross-sell, upsell) opportunities.
The system uses a customized implementation of the decision tree ensemble technique, augmented with a set
Heuristics for preliminary data processing. GiniMachine provides models for building and supplying.
They are fully compliant to the BASEL requirements.
GiniMachine works with all types of data, raw and prepared, including:
Socio-demographic data
Credit bureaus info
Transactional data
Social network data
Other data.
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Integrations
No Integrations at this time
Company Details
Company:
OnPoint - A Koch Engineered Solutions Company
Headquarters:
United States
Website:
www.onpointsolutions.com/cortex/
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Product Details
Platforms
Web-Based
OnPoint CORTEX Features and Options
Predictive Analytics Software
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
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