Automation is moving from a routine IT task to a race to cross an ill-defined finish line. AI tends to be the bug smearing the windshield and making it hard to see where you’re headed. Road hazards are further complicating the drive to increased efficiency.
“For some, automation is a buzzword and an uphill battle, but for most technical folks out there, it’s as simple as ABC. However, many technical leads and CIOs find themselves in trouble at the starting line,” says Muhammad Nabeel, chief technology officer at Begin.
At issue from the start are the usual company politics and AI — which can be more difficult to negotiate than bean counters and C-suite heavyweights combined.
“Nowadays, AI has a drastic influence on every walk of life, especially technology. Therefore, any CIO or head of technology must incorporate the AI factor,” Nabeel adds.
Although AI is a dominant force, it isn’t the only play in automation. Some established tools and rules still apply. Unfortunately, so do the previous pitfalls and challenges. Heaped on top of that are all the AI problems, too.
“This year, hidden costs and regulatory curveballs will bite if ignored. Beyond licensing fees, watch for integration spaghetti — systems that don’t “talk” smoothly — and training gaps that stall adoption. New data privacy regulations, like evolving GDPR [the European Union’s General Data Privacy Regulation] and AI transparency laws, mean CIOs must vet tools for compliance and ethical design,” says Dawson Whitfield, CEO and co-founder of Looka, an AI platform for designing logos.
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Source: https://www.informationweek.com/it-leadership/common-pitfalls-and-new-challenges-in-it-automation
