Develop a platform where businesses can interact with their data by using prompts in plain English language and get the data analytics done at fingertips.
I'd have more precise and clear while writing use case description but anyways I've just updated it now.
I'm not aware about any existing AI assisted data analysis tool in SAS that supports prompts or instructions in plain English. I would love to learn more about it if it already exists.
The simple objective here is, you would be able to ask questions like "How many employees are on leave today and who are they?"
The SAS GPT chatbot should be able to process the given prompts, generate sas code, execute it in back-end and present the desired results immediately.
You will see a list of tools by Google "AI data analytics". I think I've seen a demo or two, but don't remember from which company. May not be what you have in mind.
Incorporating ChatGPT into a messaging platform such asWhatsAppallows for interactive communication through a conversational interface, creating possibilities for chatbots or virtual assistants among other applications.
Thanks for sharing those resources on SAS conversation designer which is impressive chatbot and can be enabled in eCommerce or any website. This is definitely helpful for the end users. "SAS GPT" is an idea which is solely focused on generating heavy analytics specifically crafted for business users within the organizations who knows SAS and does little bit of SAS coding, use SAS VA reports, runs SAS EG projects, etc.
Enabling chatGPT is a great idea but at this moment chatGPT sometimes write wrong SAS code. Also chatGPT doesn't have functionality to access lib, databases, connect to SAS, execute generated SAS code by given prompt and returns the results. There would be possibility in the future with API's but why we should dependent on chatGPT when we can build our own sasGPT.
What I'm aiming to build here is an independent SAS GPT tool exactly similar as chatGPT but for data analytics.
Have to say that I think this was a really good MVP! The Jury video had enough technical details in the end to show how it was done. Do not see the SAS REST API used too often which was great. From a technical side, it does look like the MVP depends more on predetermined SAS code uploaded to a table that is retrieved based on pattern matching SAS functions for the input text and less around AI-generative code derived from NLP-trained data such as ChatGPT. May be a bit of a misnomer to call it SAS GPT. There could be a sense of concern regarding the ability to scale the application as a database becomes more complex and user inputs vary more often from the expected inputs. HOWEVER, given that this was a hackathon with limited time and resources, I would consider this very successful. Great job!
