Accelerating Adoption of Cloud AI Services - Jeremy Lambert (Eden AI)

In today’s episode we explore the world of cloud AI services with Jeremy Lambert, VP of Product at Eden AI. Eden AI provides a unified API for its customers to access and pay for a wide range of cloud-based AI services. In our conversation, Jeremy shares how the proliferation of cloud-based AI services are driving down the cost and complexity of deploying AI in the real world. We also discuss how Eden AI makes adoption even easier, to a point where users can build full applications without writing code.Timestamps:[00:01:44] Jeremy Lambert, former engineer, joined Eden AI 3-4 years ago. Lambert worked on a data science project for Merck. The founders had ideas for creating products, leading to the development of AI compare as their first platform.[00:05:08] Developers had to use custom models and pretrained AI APIs to transcribe audio files, testing different providers and analyzing their performance. They decided to build a product to address the issue.[00:08:05] Benchmark multiple companies, evaluate accuracy, cost, and performance. Simplify API calls and standardize responses. Combine APIs for increased accuracy. Properly evaluate solutions with levelized data.[00:14:25] Popular platform features: document parsing, invoice extraction, resume parsing, speech transcription, text generation, image generation, and text analysis.[00:18:17] It is simple to implement the summarization API in software. SaaS platforms offer a variety of features, including AI. Selling directly to companies is not a problem. Automation is easier now without developers using tools like Make, Zapier, or Bubble. Non-technical people in marketing or sales can use these tools for automation instead of relying on software purchases.[00:22:54] OpenAI has experienced a significant increase in monthly users. They have integrated their models into their own services and added features to enhance prompt efficiency. They have also acknowledged the competition from other companies using GPT and other models like Google's generative AI.[00:25:37] More people came for AI features, solutions.[00:29:15] Limited relations with OpenAI, numerous partnerships with other providers.[00:32:43] Our goal is to be the ultimate AI enabler, providing a platform with the best AI technologies and providers. While some companies may need their own data scientists for proprietary models or custom use cases, AI APIs will increasingly be available for various needs.[00:36:21] "Don't limit options, use multiple APIs"[00:39:00] AI is a simple tool for automation.Tune in for more insights and do not forget to rate or review on your favorite platform!