VIEWPOINT
ML, AI AND THE CRYSTAL BALL SASCHA GIESE, HEAD GEEK, SOLARWINDS, EXPLORES HOW USERS ARE AFFECTED BY VENDORS WHO USE A PREDEFINED AI FRAMEWORK COMPARED TO VENDORS WHO CREATE THEIR OWN.
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hat’s in store for machine learning (ML) and artificial intelligence (AI) in 2022? Is it finally the year for the rise of the machines? Until not too long ago, AI was just an overused marketing term. Many software vendors who sold solutions based on algorithms and fancy regular expressions branded 34
CXO INSIGHT ME
MARCH 2022
their stuff as artificial intelligence, even though it wasn’t. Times have changed, and the market is—in a helicopter view—divided into two camps: vendors who use a predefined AI framework and vendors who create their own. I’m not looking into the pros and cons of each, but what does this mean for the users?
AI Adoption Is Slowed Down by Two Obstacles First, there’s a financial obstacle. Solutions using real AI can still be called “advanced,” and they come with a certain price tag. But it’s the same old story for businesses when it comes to implementing new tech: it’s all about reducing cost or increasing efficiency.
