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Enterprise-grade AI governance
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Building Responsible AI Systems
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A more intuitive approach to AI governance
IT managers ever had to revert to a previous version of your software? That's like asking a plumber if they've ever had to tighten a pipe or an architect if they've ever had to Walter a blueprint. It's a key feature needed to successfully run an Enterprise software deployment and until now it's been nearly impossible to do with an AI system. Casper Labs and IBM are building a solution that allows all organizations to do just that. Let's see what this looks like in practice.
Meet Alice. Alice is a customerservice executive for Acme software Co. Acme has developed a generative AI system that powers chatbots for insurance businesses. Meanwhile, Bob is an insurance agent for ABC Insurance. Bob and ABC o rely on Acme's chatbot to more efficiently reach prospective customers that are coming to them to acquire a timely and accurate life insurance quote. Automating the chatbot process has saved Bob's business valuable amounts of time and money as they serve a growing customer base. But one day Bob notices that his chatbot is spewing out nonsensical responses to customers seeking a quote. If this problem isn't quickly fixed it will cost Bob customers and risk harming ABC's reputation and bottom line.
As soon as he notices the problem, Bob reaches out to Alice Alice securely logs into the AI chatbots dashboard and notices that Acme's AI system recently ingested a new version of the large language model or llm on which it is trained she's able to quickly pull up a highly serialized session identification log she sees that the problems arosewithin the past hour the same time that ABC's chatbot was fed the new version of the llm Alice suspects that a glitch in the new llm version is causing the system to malfunction. With a single click, Alice is able to revert to the previous bug-free iteration of the chatbot. She then checks her results against the results that Bob received both before and after the issue emerged she confirms with Bob that the chatbot is working as intended again and just like that the AI performance issue was fixed in a matter of seconds.
Chatbots are just a single example of how important Version Control and auditability are when it comes to AI governance. The same principle applies to automated investing healthare management self-driving cars and more realizing AI's true potential means establishing a better way to manage and monitor AI systems especially when results don't go as planned.
Meet Prove AI
The most secure and flexible datastore for AI training data
Prove AI provides enterprise-grade software and professional services to organizations seeking highly serialized and tamper-proof ledgers for logging AI training data. Powered by the tamper-proof blockchain technology, we're committed to setting you up for successful business outcomes, on your terms – all led by a team with deep enterprise software experience.
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Unlock mission-critical AI governance features
Prove AI is designed to accelerate enterprise and developer adoption of blockchain technology today, while also maintaining the flexibility required to evolve and meet user needs in the future.
Risk & Compliance
Keep up with all current and upcoming AI regulations to ensure that you and your company are compliant with all guidelines.
Immutable Auditability
Prove AI is the first blockchain for business needs that runs across public, private, and hybrid environments, ensuring reliable integrity and accountability for your data.
Monitoring & Reporting
Benefit from proactive alerts and reduced alert fatigue, ensuring clear and concise visibility into any security abnormalities or data irregularities.
Secure Version Control
Prove AI provides unparalleled visibility that allows you, and permitted others, to track insights and errors in your data - allowing for seamless remediation.