Though there are definite successes where AI has dramatically improved how technology gets built, in general, the platforms are not yet powerful enough to create complicated software, but for simple needs like managing schedules or tracking customers, they may be enough.
The inevitable abstraction from code to graphical interfaces opens the door for any tech-minded person to build a software solution for basic tasks, rather than entering a ticket in the IT department’s crowded queue.
Feed these no-code platforms data, and they will spit out predictions in seconds, giving anyone the power normally reserved for companies or research institutions manned by data scientists.
“But even better than hiring scarce and expensive developers, no-code platforms are incredibly cheap for what they do,” Reilly said.
In time, no-code platforms will be as ubiquitous as word-processing or spreadsheet software is today.”
Removing friction from adoption has the potential to unleash the power of AI across all new industries and allow non-specialists to produce work much faster with higher precision while literally predicting the future.
One of its vendors spent months with application developer teams and AI specialists to build clever software to sort through the manufacturer’s online advertising and decide which targets were worth spending more money on.
“Under the hood what is happening is called predictive analytics using state-of the-art machine-learning algorithms,” Reilly said.
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