Codified HQ

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Codified HQ

Codified HQ

@CodifiedHq

AI Governance

Seattle, WA شامل ہوئے Mayıs 2023
60 فالونگ55 فالوورز
Codified HQ
Codified HQ@CodifiedHq·
What could go wrong? 😎 . . . . . . . . . 🚀 AI is powerful, but trust is non-negotiable. - Do you really know what data your Gen AI is using to answer questions for your employees? - Does it securely differentiate between employees or just take a "one-size-fits-all" approach?
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Yatharth
Yatharth@y99·
Arvind is pointing out something that we at @CodifiedHq have been observing as a common trend for AI adoption. 🟢 AI is making it easier for users to find what they need. 🔴 Enterprises are discovering that employees have access to things they shouldn't. This is a big problem. 🔴 Causes slow adoption, which impacts the rate of innovation. The Fix? We need a shift from RBAC to high-level, policy-driven access control. 1️⃣ Write policies for PII/PHI and classified data, not project-level RBAC. 2️⃣ Dynamic Access – eliminate unused access and reduce risks. 3️⃣ Build for intended use – systems learn and create safer policies over time. #datagovernance #dataaccess #accessgovernance #aigovernance
Arvind Jain@jainarvind

Security, governance, and AI safety in GenAI deployments are top of mind for CIOs. In fact, in a survey @glean conducted earlier this year, 73% of CIOs said that generative AI tools not vetted by the IT department are a threat to the business. AI security is a core focus for Glean and our customers. Enterprises rely on Glean for its strict permissions enforcement, single-tenant model, and AI governance practices. I shared some ways we approach AI security with @srimuppidi from @BusinessInsider that you can read in the article below, and also expanding on them here: 1️⃣ Permissions: LLMs should only access data that the user is allowed to see. This way, we keep sensitive information safe and avoid any data leaks. 2️⃣ Training: Since LLMs can remember the data they were trained on, it's crucial to never use company data for training. This helps protect proprietary company information. Glean has agreements with leading LLM providers that promise zero-day retention and no training on your data. 3️⃣ Evaluation: Our main focus is on work AI, so users expect answers that are based on company data. We use our own AI evaluators to ensure the answers generated by LLMs are accurate and reliable.

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Codified HQ
Codified HQ@CodifiedHq·
@Efrain_GarciaD & with technology today, the processes can be made to be very user-friendly while still improving security.
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Efraín García
Efraín García@Efrain_GarciaD·
What is Data Governance? Data governance is about accountability and managing data responsibilities. It is not just an IT matter, focus is on people, processes, and skills. my.sociabble.com/WXSqDZWgxSZP
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Hanzala Qureshi
Hanzala Qureshi@hanzalaqureshi_·
Data governance is like flossing. Nobody really wants to do it, but it prevents larger issues down the road.
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Codified HQ
Codified HQ@CodifiedHq·
Want to write Data Governance policies in English & make them computable? #comingsoon
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Ali Ghodsi
Ali Ghodsi@alighodsi·
Today we released an open source model, DBRX, that beats all previous open source models on the standard benchmarks. The model itself is a Mixture of Experts (MoE), that's roughly twice the brains (132B) but half the cost (36B) of Llama2-70B. Making it both smart and cheap. Since only 36B expert parameters are used live, it's close to twice the speed (tokens/seconds) of Llama2-70B. We're excited to build custom versions of this for organizations that have proprietary data! Check it out! databricks.com/blog/announcin…
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Richard Dudley
Richard Dudley@rj_dudley·
#DataGovernance tweeps, does anyone know of a DG tool which can import a Swagger file and populate the metamodel and catalog?
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Madrona Venture Labs
Madrona Venture Labs@MadronaVL·
Codified CEO @y99 on why he chose to partner with @MadronaVL: "I thought MVL would compliment me in areas where I didn't have experience, and that expectation was more than met. And if you're looking at outcomes, which is the right way to evaluate this, what MVL did is accelerate the journey. It was not just about starting the company faster; it also accelerated us in weeding out bad ideas because we could do it together. It accelerated the hiring of people because I had help from day one. It accelerated building from concept to design. It accelerated, most importantly, conversations with customers. For founders, time is an incredibly valuable commodity. And that's what I got in partnering with MVL." Read more about his journey here: bit.ly/4bZfvBy #VentureCapitalMyths #DataInnovation #TechLeadership #DataGovernance #StartupFounder
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Built In Seattle
Built In Seattle@BuiltInSeattle·
By re-imagining the approach to data governance from the ground up, @CodifiedHq aims to simplify the process and alleviate the pain associated with protecting data access. ecs.page.link/7Epgo
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