Data Conference Databasea Query.Farm index
Speakers

Miljenko Vukovic

Employers on the program

  1. 2026VIS Solutions1 talk
Events1
Conferences1
Talks1
Years active2026

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecBig Data LDNBig Data LDN
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • Big Data LDN

Talks

DateEventConferenceRoleTitleLinks
Sep 23, 2026Big Data LDN 2026Big Data LDNspeakerSupport Desk Automation: How AI Took the Worst Job Away
as VIS Solutions
For years, support and maintenance was the job nobody wanted — and somehow it always ended up on the desk of the engineer who was best at solving problems. In…Show less

For years, support and maintenance was the job nobody wanted — and somehow it always ended up on the desk of the engineer who was best at solving problems. In one B2B software business, around 45% of support requests were outside the maintenance contract, ranging from data investigations and system issues to customers asking for help with their own work. Agentic AI changed the equation. In this talk, we will share what we learned from automating support and maintenance in production: how to classify the different kinds of support requests, which ones an AI agent can safely handle on its own, and which ones should remain with humans. We will look at practical patterns for customer-specific agents, coding agents, data investigation, and first-line support — as well as the guardrails that prevent an autonomous system from confidently doing the wrong thing. The key lesson is surprisingly simple: the first thing support automation should eliminate is not the difficult engineering work, but the unbillable tide of repetitive, ambiguous and out-of-scope requests that consumes your best people. Find out more at: https://vis-solutions.eu/en/blog/the-support-agent-that-took-my-worst-job-away

Frequent co-speakers

No one else spoke at two or more of the same events.

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.