NewgenONE Platform
Artificial Intelligence (AI) & Data Science
Drive enterprise-scale digital transformation through AI and Data Science with NewgenONE, a cloud-powered low-code platform that enables data-driven decisions and delivers exceptional customer experiences worldwide.
Harness the power of visual AI to accelerate your enterprise journey from data to actionable insights. Rapidly design machine learning, deep learning, and graph models using an intuitive visual studio, and deploy with automated retraining for continuous improvement. Infuse AI into workflows and applications to deliver real-time predictive and prescriptive insights, driving faster, smarter decisions across the business. Stay ahead with AI-driven innovation and scalable business models. Combine AI with business rules, process automation, and content services to embed intelligence into applications and processes across your enterprise ecosystem.
With Newgen AI Cloud, you can do it all
Data Fusion Hub for Enterprises: Build Reliable, Scalable Data Pipelines for AI-Driven Insights
- Intuitive Visual Interface – Easily prepare and manage data at scale for enterprise-wide analytics and machine learning projects.
- Massive Data Preparation – Handle large datasets efficiently to support advanced AI and ML initiatives.
- Data Validation for Accuracy – Ensure reliable results by validating data for consistency and correctness.
- Comprehensive Data Operations – Blend, curate, and wrangle data to create robust and scalable data pipelines.
- Enterprise-Grade Scalability – Build and scale data workflows to meet complex business requirements.
Transform Data with Advanced Visualization and AI-Powered Validation
- Advanced Data Visualization – Explore and understand complex datasets using techniques like bubble charts, scatter plots, and more.
- Interactive Visual Analytics – Gain actionable insights through intuitive visual representations of data.
- Data Preparation for Model Training – Detect and repair anomalies, cleanse datasets, and ensure data quality for machine learning models.
- Machine Learning-Based Validation – Perform automated sanity checks and data validation using AI-driven analysis.
Build, Train, and Optimize AI Models Faster with Model Development Studio
- Streamlined Data Science Lifecycle – Simplify end-to-end processes with an intuitive drag-and-drop interface for rapid model development, experimentation, and evaluation.
- Rapid Model Development – Utilize in-built set of modeling algorithms to develop and deploy models on disparate datasets.
- Comprehensive Model Evaluation – Analyze performance with detailed visual metric reports for better insights.
- Best-Fit Model Optimization – Identify, train, and fine-tune models to achieve optimal accuracy and efficiency.
Automate AI Model Selection and Deployment with Continuous Monitoring
- Best-Performing Model Selection – Identify the most accurate model from multiple options using built-in recalibration mechanisms.
- One-Click Model Deployment – Deploy the selected model seamlessly with a single click for faster production readiness.
- Automated Model Retraining – Schedule retraining at predefined intervals to maintain performance in production environments.
- Continuous Model Monitoring – Track and compare model performance over time for proactive optimization.
- Detailed Behavioral Insights – Gain in-depth understanding of model behavior through advanced analytics and reporting.
Empower Enterprise AI with a Research and Collaboration Hub
- Enterprise-Wide Collaboration – Enable seamless teamwork among multiple stakeholders by sharing assets, documents, and modeling resources effortlessly.
- Context-Aware Assistance – Access comprehensive help options at every step to easily understand operations and workflows.
- Centralized AI Knowledge Repository – Build a long-term enterprise-wide repository for artificial intelligence models and best practices.
- Streamlined Resource Sharing – Improve productivity by securely sharing data science and AI resources across teams.
Automate End-to-End AI Model Development with Automated Data Science
- Automate recurring data science tasks – including feature engineering, model development, and model selection.
- Automation – Use automated data science to achieve the best possible model performance and improve it further with automated hyperparameter tuning.
- One-Click Model Deployment – Deploy fully developed and evaluated models instantly with a single click for faster production readiness.
- Streamlined AI Workflow – Simplify complex machine learning tasks with built-in automation capabilities.
Enterprise AI Made Simple with NewgenONE
Accelerate business growth and operational excellence through secure, scalable AI solutions on NewgenONE.
