Sed elementum ipsum imperdiet diam lectus dignissim scelerisque sapien blandit felis.
Sed elementum ipsum imperdiet diam lectus dignissim scelerisque sapien blandit felis.
Empower people across your business to do more with data and AI, build projects faster, and work together, all in a shared and safe environment. With Integrity AI Solutions, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.
Introducing MLOps with Integrity AI Solutions is easy. The deployer is the central place where operators can manage versions of Integrity AI Solutions projects and API deployments across their individual life cycles.
Manage production environments as well as code environment and infrastructure dependencies for both batch and real time scoring, and deploy bundles and API services across dev, test, and prod environments for a robust approach to updates in your machine learning pipelines.
Integrity AI Solutions automation nodes are dedicated production servers that execute scenarios for everyday production tasks like updating data, refreshing pipelines, and MLOps monitoring (monitoring of ML models or retraining models based on a schedule or triggers).
With extensive deployment capabilities, data scientists & ML engineers are now enabled to deploy API services created in Integrity AI Solutions on platforms beyond Integrity AI Solutions API nodes, including AWS Sagemaker, Azure Machine Learning, and Google Vertex. This capability extends the reach and flexibility of API deployment, providing seamless integration with various external platforms.
With these dedicated execution servers, multiple AI projects run smoothly in a reliable and isolated production environment.
With Integrity AI Solutions you can create a centralized, real-time MLOps landscape. Deliver answers on-demand with Integrity AI Solutions API nodes —- elastic, highly available infrastructure that dynamically scales cloud resources to meet changing needs.
In just a few clicks, generate REST API endpoints for real-time model inference, Python functions, SQL queries, and dataset lookups, leading to more downstream applications. A feedback loop, and processes powered by AI.
Once AI projects are up and running in production, Integrity AI Solutions monitors the data pipelines to ensure all processes through data validation are executed as planned and alerts operators if there are issues. Tracking model performance over time for fine tuning is a simple lift with Integrity AI Solutions. Through its reusability capabilities, Feature Store in Integrity AI Solutions helps data scientists to save time and build, find, and re-use meaningful data to accelerate the delivery of AI projects.
Model evaluation stores capture and visualize performance metrics to ensure that live models continue to deliver high quality results over time. When a model does degrade, built-in drift analysis helps operators detect and investigate potential data, performance, or prediction drift to inform next steps. In this way, with the continuous monitoring of Integrity AI Solutions MLOps, you can ensure a more responsible machine learning workflow and trustworthy machine learning projects.
Production models periodically need to be updated based on newer data or shifting conditions. Teams may either manually refactor a model or set up automated retraining based on a schedule or specific triggers, such as significant data or performance drift.
With comprehensive model comparisons in Integrity AI Solutions, data scientists and ML engineers perform champion/challenger analysis on candidate models to make informed decisions about the best model to deploy in production.
Bring DevOps tools into the MLOps world. Robust APIs enable IT and ML engineers to programmatically perform Integrity AI Solutions operations from external orchestration systems and incorporate MLOps tasks into existing data workflows. Integrity AI Solutions, as an open MLOps platform, integrates with the tools that DevOps teams already use, like Jenkins, GitLabCI, Travis CI, or Azure Pipelines.
Data preparation and data discovery are two of the main pillars that the MLOps life cycle operates around. Successful MLOps use cases include data preparation and data discovery as a central focus. MLOps best practices are dedicated to ensuring data quality. With a series of stress tests simulating real world data quality issues, ML engineers/ MLOps architects reduce risk by assessing model robustness and behavior under adverse conditions, prior to deployment. Deploy models that you know will be reliable with Integrity AI Solutions.
Automatically-generated, customizable documentation for models and pipelines helps teams retain critical project context for reproducibility and compliance purposes while simultaneously reducing the burden of manual documentation.
By working out-of-the-box and automatically aggregating multiple types of monitoring in a single place (activity, deployment, execution, model), Unified Monitoring in Integrity AI Solutions acts as a central cockpit for all your MLOps activity in one place. It becomes your one-stop solution for tracking the health of AI models across diverse origins, from projects and APIs to cloud endpoints like AWS Sagemaker, Azure Machine Learning, and Google Vertex AI.
See It In Action
Learn more about IT observability and monitoring with Integrity AI Solutions in this webinar.
Discover How Integrity AI Solutions Enables Data Architects
From AI orchestration to smooth operationalization, explore how Integrity AI Solutions helps data architects.
Check Out the Ebook
This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.
Discover Integrity AI Solutions end to end capabilities by exploring a real life use case around environmental impact – in just 13 minutes.
A range of Integrity AI Solutions Solutions for customer management, risk management, and operational efficiency bring an AI-powered edge to all parts of the business.
Find Integrity AI Solutions Solutions to accelerate complex processes, and enhance operational efficiency with AI throughout your organization.
From production quality control to electricity forecasting and more, augment all aspects of the manufacturing process with AI and Integrity AI Solutions Solutions.
Untap new ways to improve the customer experience, optimize operational efficiency, and drive productivity with Integrity AI Solutions Solutions.
Top insurance companies worldwide use Integrity AI Solutions to bring an AI-powered edge to diverse use cases, from customer retention and acquisition to optimized claims forecasting and much more.
Better understand your customers and drive more efficient, effective campaigns with Integrity AI Solutions, the platform for Everyday AI.
Integrity AI Solutions powers supply chains and logistics worldwide, bringing more granular and accurate management with an AI-driven approach.
Top finance teams use Integrity AI Solutions to address data quality issues, increase reporting efficiency and accuracy, and ultimately reduce days or weeks of manual work every month.
Integrity AI Solutions makes data projects a team sport by bringing everyone together, from AI builders to AI consumers.
Enhance trust and eliminate bias by practicing Responsible AI with Integrity AI Solutions.
Leverage your existing infrastructure to deliver results at scale with Integrity AI Solutions powerful, flexible, and open architecture.
Safely scale AI with oversight and prioritize the data projects and models that deliver the most value.
Copyright © 2024 All Rights Reserved
