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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.

Media

Media

Integrations Supported

Adobe Acrobat
Azure AI Content Safety
Azure AI Foundry
Azure AI Services
Claude 3.5 Sonnet
Claude 3.7 Sonnet
GPT-4o
Gemini 1.5 Pro
Gmail
Google Workspace
Matter Center for Office 365
Microsoft Azure
Microsoft Intelligent Data Platform
OpenAI
Perplexity
Salesforce
Slack

Integrations Supported

Adobe Acrobat
Azure AI Content Safety
Azure AI Foundry
Azure AI Services
Claude 3.5 Sonnet
Claude 3.7 Sonnet
GPT-4o
Gemini 1.5 Pro
Gmail
Google Workspace
Matter Center for Office 365
Microsoft Azure
Microsoft Intelligent Data Platform
OpenAI
Perplexity
Salesforce
Slack

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)

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