{"id":3296,"date":"2026-10-16T18:30:00","date_gmt":"2026-10-16T13:00:00","guid":{"rendered":"https:\/\/bengaluru.wordcamp.org\/2026\/?p=3296"},"modified":"2026-10-07T17:42:24","modified_gmt":"2026-10-07T12:12:24","slug":"speaker-joel-abreo","status":"publish","type":"post","link":"https:\/\/bengaluru.wordcamp.org\/2026\/speaker-joel-abreo\/","title":{"rendered":"Announcing our speaker: Joel Abreo"},"content":{"rendered":"\n
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Joel Abreo<\/strong> (Senior Project Manager, rtCamp) is speaking at WordCamp Bengaluru 2026 on \u201cOperationalising AI after the easy gains\u201d<\/strong>, a 30-minute talk on Sunday 22 November.<\/p>\n\n\n\n

Most people say AI makes them faster, yet few companies can point to better results. Joel’s case is that the bottleneck has moved from individual tasks to shared context and coordination, and he shares what happened when he tried moving AI onto it on his own team.<\/p>\n\n\n\n

Read the full announcement for the session abstract and more about Joel.<\/p>\n<\/div>\n\n\n\n\n\n\n\n

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\"Joel<\/a><\/figure>\n\n\n\n

On stage \u00b7 <\/span>Day 2<\/strong> \u00b7 <\/span>22 Nov<\/p>\n<\/div>\n\n\n\n

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Speaker announcement \u00b7 <\/span>20<\/p>\n\n\n\n

Meet your speaker<\/p>\n\n\n\n

Joel Abreo<\/h2>\n\n\n\n

Senior Project Manager<\/strong> \u00b7 <\/span>rtCamp<\/p>\n\n\n\n

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When<\/span> Sunday 22 November, the main day<\/p>\n\n\n\n

Where<\/span> St. Joseph’s Boys’ High School<\/a> on Museum Road<\/p>\n\n\n\n

Time<\/span> goes up with the schedule<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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\/\/ the_session<\/p>\n\n\n\n

Operationalising AI after the easy gains<\/h2>\n\n\n\n
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AI models and tooling get more capable every quarter. Nearly every organisation uses them, and most people say AI makes them personally more productive. Yet, according to industry surveys, the share of companies that can point to a measurable improvement in their results has barely moved.<\/p>\n\n\n\n

I believe the reason is not capability or adoption, but that most companies do not know what to do with AI on an operational level. So it stays where it was easiest to deploy first: individual tasks. An old idea from manufacturing explains what happens next: merely speeding up a step does not raise output, but merely piles up work further down the line.<\/p>\n\n\n\n

From Joel’s session abstract \u00b7 <\/span>read the rest<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Your ticket to it<\/p>\n\n\n\n

Format<\/span> Talk<\/p>\n\n\n\n

Length<\/span> 30 minutes<\/p>\n\n\n\n

Day<\/span> Sun 22 Nov<\/p>\n\n\n\n

Room<\/span> with the schedule<\/p>\n\n\n\n

Session page<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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\/\/ the_speaker<\/p>\n\n\n\n

About Joel<\/em><\/h2>\n\n\n\n
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Hi there! \ud83d\udc4b I enjoy using tech to solve problems. At work, I manage GoDAM.io & EasyEngine.io. I\u2019m always happy to talk bikes, software, adulthood or novel ways to burn tokens. Say hi if you see me; I\u2019ve been described as friendly and un-funny.<\/p>\n\n\n\n

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