The Impact of Gen AI on Enterprise SaaS Today w/ Sandhya Hegde | Unusual Ventures
Sep 10, 2023
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Sandhya Hegde, a General Partner at Unusual Ventures specializing in early stage SaaS, discusses the potential impact of AI on enterprise software, challenges in AI retention, and strategies for enterprise SaaS in the age of Gen AI.
Generative AI has immense potential in the enterprise SaaS space, providing opportunities for early-stage companies to leverage foundation models and improve enterprise tooling.
The evolution of enterprise software includes a shift towards unbundled solutions, in-browser collaboration, and the utilization of unstructured data through foundation models, leading to automation and workflow changes.
Deep dives
The Impact of Generative AI in Enterprise SaaS
Sandia Hegde, a general partner at Neutral Ventures, discusses the impact of generative AI in enterprise SaaS. Hegde explains that while AI is often associated with consumer applications, there is immense potential for AI in the enterprise software world. She highlights that early-stage companies can take advantage of the opportunities created by foundation models in enterprise tooling. Hegde emphasizes the importance of understanding the differences between consumer and enterprise AI needs, as well as the need for reliable and deterministic AI solutions in enterprise settings.
Evolution of Enterprise Software
Hegde discusses the evolution of enterprise software over the years. She explains that there has been a shift from using a few big software tools that do everything to a more unbundled world with best-in-breed solutions for specific tasks. Hegde also mentions the rise of in-browser collaborative work and the focus on utilizing data creatively, particularly structured data. She highlights the significant shift in enterprise software since foundation models can now use and generate unstructured data, opening up possibilities for automation and changing workflows.
Challenges and Considerations for Enterprise AI
Hegde addresses the challenges and considerations for implementing AI in enterprise settings. She emphasizes the importance of customized solutions that cater to specific enterprise needs, such as control and copyright concerns. Hegde also discusses the need for thoughtful product design, taking into account user interfaces, reliability, and the issue of black box AI. Additionally, she notes that companies are still navigating policies and educating employees about the risks and benefits of AI. Hegde stresses the need for caution and strategic planning when adopting AI tools in the enterprise.