In episode 82 of the AI/Hyperautomation Minute, Toni Witt explores how low-code/no-code will lead to the democratization of artificial intelligence (AI).
This episode of the AI/Hyperautomation Minute is sponsored by Acceleration Economy’s Digital CIO Summit, taking place April 4-6. Register for the free event here. Tune in to the event to hear from CIO practitioners discuss their modernization and growth strategies.
Highlights
00:33 — Toni was recently asked if he could build an AI system that takes in website analytics and creates a natural language summary that covers all of the data points, rephrasing them in a natural-sounding way.
01:00 — Initially, Toni said he couldn’t build this system because he doesn’t have a machine learning (ML) engineering background. But after reconsideration, Toni decided to attempt this because of low-code/no-code AI — in other words, “AI that’s made simple.”
01:20 — Many AI/Hyperautomation Top 10 companies have been leaders in this by offering tools and services that enable users, whether or not they’re engineers, to plug in their business data and evaluate it using AI or ML systems.
01:40 — UiPath, which specializes in robotic process automation (RPA), makes software widgets that can be applied across different business processes, many of which are built on AI.
01:58 — There are AI systems that can generate code when and where it’s needed. For instance, Tabnine is built for software developers. If a user writes the first half of a line of code, it uses AI to complete the rest of the line.
03:07 — He refers back to ChatGPT again. This technology has existed for years, but it had to previously be accessed through an API or through code. “Very few people had the skills to be able to do that,” Toni notes. “The moment OpenAI, the organization behind ChatGPT, put it on a website and opened it for everybody, then immediately, the world was turned upside down. And everybody is now using it and everybody has found different ways of deriving value from it.”
03:37 — Implementation is key. Toni believes the same will happen broadly across AI as it becomes democratized through low-code/no-code tools.
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