Science · Mathematics & computing · published 2026-10-11 · via The Register

HPE networking chief predicts AI will resolve all network trouble tickets within two years

Rami Rahim, who leads HPE's networking business, said AI-driven automation already handles 70 to 80 percent of trouble tickets without human intervention. He expects that within two to three years no issues will require humans, except for hardware swaps, which he believes should be handled by automated ordering and simple replacement. Rahim compared growing trust in AIOps to public acceptance of self-driving cars and automatic transmissions.

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Rami Rahim, previously Juniper's CEO and now head of HPE's networking unit, says HPE is widening AI-powered automation across its hybrid cloud products. He describes "self-driving networks" as AI monitoring plus automated fixes, part of AIOps. Current automation reportedly resolves 70–80% of tickets unaided, and he expects nearly all non-hardware issues to need no people within two to three years.

For hardware failures, he envisions automatic part ordering and delivery, with a junior staffer merely swapping the device. Trust, he argues, grows through gradual exposure, like automatic transmissions, cruise control, lane assist, and Bay Area robotaxis. Rollouts can be enabled capability by capability, such as rebooting a switch port. Success is tracked through wireless complaints and repair speed; agents may soon outnumber human workers and depend on reliable networks.

Count words? First para: Rami(1) Rahim(2), previously(3) Juniper's(4) CEO(5) and(6) now(7) head(8) of(9) HPE's(10) networking(11) unit(12), says(13) HPE(14) is(15) widening(16) AI-powered(17) automation(18) across(19) its(20) hybrid(21) cloud(22) products(23). He(24) describes(25) "self-driving(26) networks"(27) as(28) AI(29) monitoring(30) plus(31) automated(32) fixes(33), part(34) of(35) AIOps(36). Current(37) automation(38) reportedly(39) resolves(40) 70–80%(41) of(42) tickets(43) unaided(44), and(45) he(46) expects(47) nearly(48) all(49) non-hardware(50) issues(51) to(52) need(53) no(54) people(55)

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