Inspiration : 65% executive struggle to access data with existing tools and resources
30% of data scientist time spent on answering ad hoc quests and writing repetitive codes $50.6 billion estimation for global AI in the data analytics market size by 2026, at a Compound Annual Growth Rate (CAGR) of 30.5%. As a Data Scientist a lot of my time is spent on Data munging and low level analytics. It is time consuming and waste of valuable skillset. Also, stakeholders do not get the answers they need immediately and have follow ups always. This can be automated.
What it does: It enables and empowers business decision makers have access to data at their fingertips and do not have to worry about thinking through the skillset side
How we built it : using GPT 3.5 plugins & prompt engineering
Challenges we ran into: Having dataset to demonstrate value
Accomplishments that we're proud of: We built a plugin which not only analyzes data but also builds charts.
What we learned: We learnt how to work together as a team, identify goals, distribute work
What's next for Clink AI: Build more and test more!
Built With
- plugin
- prompt
- wolfram-technologies
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