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What is Microsoft Azure Responsible AI?
Confidently drive the future of safe and ethical AI implementations within your organization. By leveraging advanced technologies and proven best practices, you can effectively scale AI initiatives while managing associated risks, improving accuracy, protecting privacy, ensuring transparency, and optimizing compliance efforts. Empower cross-functional teams with essential resources to develop the next generation of AI solutions securely, utilizing integrated tools and templates specifically designed to promote responsible AI in open source, machine learning operations, and generative AI workflows. Actively identify and mitigate potential misuse through comprehensive responsible AI strategies, state-of-the-art Azure security features, and specialized AI tools. Additionally, monitor both textual and visual content to quickly detect and eliminate offensive or inappropriate material. Expedite the rollout of machine learning models and encourage collaboration through streamlined prompt flow, leading to a quicker return on investment. Construct innovative generative AI applications and customized copilots all within a unified platform, ensuring both efficiency and effectiveness in your AI endeavors. These comprehensive strategies not only pave the way for a safer AI environment that complies with regulatory standards but also foster trust among users and stakeholders, ultimately contributing to a more responsible and effective use of artificial intelligence. As organizations adopt these practices, they set the foundation for a collaborative future where ethical AI thrives.
What is Liminal?
Liminal equips regulated enterprises with essential tools for the secure implementation and application of generative AI across various domains. When organizations opt for Liminal, they gain comprehensive control over the data shared with large language models, whether through direct interactions, existing software that integrates generative AI, or the creation of tailored applications that leverage these technologies. The platform's model-agnostic and horizontal nature effectively addresses risks related to compliance, data security, and brand integrity. This adaptability is applicable to all models and applications both in use and in development. Organizations can boost their productivity, enabling their teams to leverage generative AI safely in diverse settings such as websites and desktop platforms, while maintaining rigorous standards for data protection, governance, and oversight. By adopting Liminal, businesses can skillfully navigate the intricate landscape of generative AI, reaping its advantages in a secure and cost-effective way, ultimately fostering innovation and growth within their operations.
Integrations Supported
Adobe Acrobat
Azure AI Content Safety
Azure AI Services
Claude Sonnet 3.5
Claude Sonnet 3.7
GPT-4o
Gemini 1.5 Pro
Gmail
Google Workspace
Matter Center for Office 365
Integrations Supported
Adobe Acrobat
Azure AI Content Safety
Azure AI Services
Claude Sonnet 3.5
Claude Sonnet 3.7
GPT-4o
Gemini 1.5 Pro
Gmail
Google Workspace
Matter Center for Office 365
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/solutions/ai/responsible-ai-with-azure/
Company Facts
Organization Name
Liminal
Company Location
United States
Company Website
www.liminal.ai/
Categories and Features
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)