This week join Pat and Mo as they chat about the major considerations around building an AI platform, with respect to data, security, and industry trends. Given the youthfulness of AI powered technology and how quickly it is iterating everyday, the co-founders chat about how Abstract is remaining vigilant about data security and access on the enterprise level while ensuring they keep ample room for innovation.
“Building an enterprise product with a lot of questions around data privacy, data security, what we’re doing with the data…[AI] wasn’t something that we could just throw into our product.”
Their conversation is a reminder that we are still in the very early days of AI, despite the sophistication and high-functionality of today's LLMs. As AI companies like Abstract, and so many others, continue to evolve, there is great value in staying aligned with industry standards.
For Mo, keeping track of industry best practices is “the most important piece because [companies] need to make sure that [they] have a fort, a cloud, or something set up so that [they] have peace of mind to see or best optimize how these agents can benefit [their] customers.”
As AI technology continues to mature, balancing innovation with rigorous security measures remains a top priority for leaders in the space. This episode serves as a valuable guide for enterprises navigating the complexities of AI adoption, emphasizing the importance of robust data safeguards and proactive industry research.
You can also check out this session on Spotify!
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