In episode 103 of the AI/Hyperautomation Minute, Toni Witt discusses how startup Akkio is tackling challenges with data and large language models (LLMs).
This episode is sponsored by Acceleration Economy’s Generative AI Digital Summit. View the event, which features practitioner and platform insights on how solutions such as ChatGPT will impact the future of work, customer experience, data strategy, cybersecurity, and more, by registering for your free on-demand pass.
Highlights
00:38 — Acceleration Economy AI/Hyperautomation Top 10 companies, such as C3 AI, have been exploring the intersection of data with LLMs. There is also a startup tackling problems in how companies are applying LLMs to their data. One problem is when companies use tools like ChatGPT and it’s unlikely that their business data is being used to train future OpenAI models.
01:17 — Founded in 2019, the startup Akkio developed a no-code AI platform that enables businesses to plug in their existing data and build a machine learning model around that custom data without using code or needing a data scientist.
01:41 — Once the model is built, users can take advantage of features such as classification, which can be useful in classifying leads in a CRM to predict costs or sales, for instance.
02:00 — Akkio placed much emphasis on “clean UI and UX,” making it more user-friendly and easier for startups or individual developers to adopt.
02:17 — Toni highlights two features built into the Akkio platform. The first is Chat Explore which uses GPT-4 to let users explore datasets using natural language. The feature will take the underlying data to form a graph that shows the correlation between datasets in real-time.
02:54 — The second feature is Chat Data Prep which enables users to perform transformations on datasets using natural language. Toni lists combining columns, performing calculations, translating between languages, filtering, and remodeling as some use cases of this feature.
03:10 — These tools let anyone — regardless of technical understanding — understand and act on business data, which Toni describes as being “really crucial these days.”
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