Hot off the press! Check this post to see the "How to" steps to implement the latest enterprise-grade features for API customers, released by OpenAI yesterday.
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But first, what did #OpenAI release?
1) Security Enhancements: Introduction of Private Link for secure Azure communications, native Multi-Factor Authentication (MFA), and additional security layers like SOC 2 Type II certification and AES-256 encryption.
2) Administrative Control: The new 'Projects' feature offers granular control over API keys and project access, enhancing oversight and preventing cost overruns.
3) Assistants API Upgrades: Enhancements include handling up to 10,000 files per assistant, real-time streaming responses, and new 'vector_store' objects for efficient file management.
4) Cost Management Options: Features like discounted rates for consistent token usage and a 50% reduction for asynchronous workloads via the Batch API to manage expenses.
5) Continuous Innovation: Ongoing development of features focused on security, control, and cost-efficiency to support enterprises in leveraging AI technology.
Now, let us say you are a Financial Services / Fintech business. You want to streamline Compliance and Customer Service.
Situation Before:
You only had a 20-file limit, resulting in delayed compliance reporting and customer service.
Now do these:
1) Upgrade to Enhanced Assistants API: Implement the enhanced 'file_search' feature to handle up to 10,000 files per assistant. This allows for mass processing of compliance documents and customer data simultaneously.
2) Utilize Parallel Queries and Enhanced Reranking: Integrate these features to improve the accuracy and speed of data retrieval, ensuring that customer queries and compliance checks are processed more efficiently.
Outcome After:
Your firm can now process thousands of documents rapidly, with improved accuracy in compliance reporting and quicker customer service responses, enhancing overall operational efficiency.
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#enterpriseAI #fintech
CEO @ Metomic | Lock down your data, not your employees
1wGreat point, Yuval Ben-Itzhak. As AI agents become more central to business operations, having visibility, classification and control of the sensitive data those agents have access to will be crucial.