Excellence In ActionAI in Practice Part 1: Proprietary Data and Compliance
How do you ensure compliance and protect your customers’ data while using an LLM?
This is Part 1 of the AI in Practice Series.Part 1: Proprietary Data & CompliancePart 2: Product StrategyPart 3: Organizational Change
We are in the implementation phase of AI technology. While hype is fun, we want to help executives grapple with the big question: what the hell do you do now? How does AI change the product roadmap? What about company culture? Pricing? Data privacy?
In short, we need to move from hype-driven blog posts to pragmatic implementation guides. These topics are especially important because so many of the companies we’ve talked with are struggling to deploy generative AI projects at scale. According to an S&P Global study, nearly 70% of respondents have at least one AI project in production but less than half of those (28% of respondents) have reached enterprise scale. In addition, 31% of respondents are still in the pilot or proof-of-concept stage.
At Tidemark, we try to open-source our thinking as much as possible to help founders win; however, as investors, we can’t give everything away in public. If you’re an operator or founder, you can request access to the rest of this piece below.
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