TLDR: In this article, the future of enterprise AI in 2024 is discussed through a panel conversation with experts from Cloudflare, CodeComplete AI, and Google Cloud. The experts discuss advancements, use cases, and the potential for AI in customer experiences, cybersecurity, coding, and cost considerations. They also touch on the future of AI, including regulation and the potential for AI to solve pressing problems.
Key points:
- Companies are starting to consider costs and budgets for AI after rushing to take advantage of the technology in 2023.
- AI can facilitate customer experiences by providing tailored shopping assistants and quick product recommendations.
- AI can help improve cybersecurity by identifying patterns and providing a broader perspective.
- AI can revolutionize coding by improving developer interactions with code and offering smaller, fine-tuned models that can outperform generic models in specific scenarios.
- Companies are now evaluating whether the newest AI versions are necessary or if slightly older versions can achieve the same results at a lower cost.
- The panelists discuss the future of AI, including the need for governance, the importance of concrete outputs, and the potential for AI to solve pressing problems in various fields.
Summary:
As companies start to evaluate their budgets and costs after rushing to take advantage of AI in 2023, experts in the AI field gather to discuss the future of enterprise AI in 2024. The experts discuss various aspects of AI, including customer experiences, cybersecurity, coding, and cost considerations.
In terms of customer experiences, AI can facilitate tailored shopping experiences by providing shopping assistants and quick product recommendations. Grant Bourzikas, CSO of Cloudflare, highlights how AI can improve cybersecurity by identifying patterns and offering a broader perspective. Lydia Ding of CodeComplete AI discusses the future of AI in coding, noting how it has enabled developers to interact with code in new ways and the potential for smaller, fine-tuned models to outperform generic models.
Regarding costs, the panelists discuss whether companies should continue investing in the newest AI versions or if slightly older versions can achieve the same results at a lower cost. Will Grannis of Google Cloud emphasizes the importance of giving customers access to different models and platforms so they can choose their own innovation agenda.
Looking ahead, the panelists touch on the future of AI. Lydia Ding believes that governance will be an important theme, and companies will need to consider concrete outputs rather than chasing the next cool thing. Will Grannis is excited about the potential for AI to solve humanity’s most pressing problems, such as creating synthetic materials for energy and semiconductors. Overall, the future of AI is wide open, and AI has already demonstrated its ability to solve complex problems and drive advancements in various fields.