Interesting example of the effort and its building ...
Building a Successful Enterprise AI Platform By Arpeet Kale
Introduction
In 2016, I started as a fresh grad software engineer at a small startup called MetaMind, which was acquired by Salesforce. Since then, it has been quite a journey to achieve a lot with a small team. I’m part of Einstein Vision and Language Platform team. Our platform provides customers with the ability to upload and train datasets (images or text) to produce models that can be used for generating insights in real time. We serve internal Salesforce teams working on Service Cloud, Marketing Cloud, and Industries Cloud, as well as external customers and developers.
If you’ve ever interacted with a chatbot on a leading e-commerce apparel store, financial institute, healthcare organization, or even a government agency, then it’s likely that your request was processed on our platform to understand the question and provide an answer. For example, Sun Basket customers are able to track orders or packages, report any issues with delays or damage, and get a credit or refund. AdventHealth is able to provide patients with an interactive CDC COVID-19 assessment and educate them about the disease.
I’m frequently asked about my experience building an AI platform from the ground up and what it takes to run it successfully, which is what this blog post explores. .... "
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