Product Overview of Verta
Verta is a cutting-edge AI Model Management and Operations platform designed to help enterprises manage, serve, and govern artificial intelligence (AI) and machine learning (ML) models efficiently and responsibly. Here’s a detailed look at what Verta does and its key features:
Core Functionality
Verta’s primary goal is to streamline the entire lifecycle of AI and ML models, from development and staging to production and archive. The platform is tailored to support both traditional machine learning and generative AI (GenAI), making it a versatile tool for a wide range of applications.
Key Features
Automated Model Management
Verta automates the delivery, monitoring, governance, and scalability of AI models. This includes automating model deployment, which can improve ML model production time by up to 30 times, and ensuring models remain accurate and perform as intended in production environments.
Model Monitoring and Performance
The platform provides comprehensive model monitoring capabilities, tracking performance metrics such as response time, latency, error rate, and throughput. It also monitors data quality and drift, alerting users to any performance degradation or drift to ensure models continue to deliver value to customers.
AI Trust, Risk, and Security Management
Verta includes robust features for AI trust, risk, and security management. This involves recording and managing models across their lifecycle, setting up explainability and bias checks, and ensuring compliance with ethical AI standards. The platform also conducts vulnerability scanning at multiple points in the ML lifecycle to enhance security.
Governance and Compliance
Verta helps governance and risk teams by monitoring model input/output and performance, administering governance rules, and providing detailed platform audit logs. The platform supports complex security policies with a comprehensive set of roles and permissions, enhancing collaboration and productivity while ensuring compliance.
Generative AI Support
The Verta GenAI Workbench is a recent addition that accelerates the development of GenAI applications. It leverages automated machine learning combined with human feedback to build high-quality GenAI solutions. The Workbench supports various Large Language Models (LLMs), including open-source models like Llama 2, Mistral, and Falcon, as well as proprietary models from OpenAI and Google. It also features “Starter Kits” with strong baseline prompts and a GenAI Leaderboard to rank model and prompt configurations based on quality, cost, and latency.
Integration and Deployment
Verta is available on major cloud platforms such as AWS, Azure, and GCP, as well as on-premise deployments. It integrates seamlessly with popular data stream systems like Apache Kafka, enabling scalable and real-time ML applications.
Collaboration and Productivity
The platform is designed to support collaborative workflows, involving stakeholders across multiple teams and functions. It provides a user-friendly interface for administrators to manage roles, permissions, and IT policies, enhancing team productivity and security.
Additional Tools and Capabilities
- PromptBrew: A tool that accelerates the entire prompt lifecycle for GenAI applications, from ideation and creation to testing and benchmarking.
- Verta RAG System: Allows users to generate AI answers from trusted and private data sources by combining pre-trained LLMs with their own data.
Benefits
Verta’s platform helps data science and IT operations teams focus on their strengths, rapidly bringing AI/ML advances to market. It ensures that AI models are deployed responsibly, efficiently, and securely, which is particularly crucial for companies in highly regulated industries such as healthcare.
In summary, Verta offers a comprehensive suite of tools and features that simplify the process of building, deploying, monitoring, and managing AI and ML models, making it an indispensable resource for enterprises looking to integrate AI into their operations.