Eugene Chan

152 posts

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Eugene Chan

Eugene Chan

@eugeneychan

PhD behavioral scientist tweeting on trust issues in AI, branding, and life. Trekkie and cowboy at heart.

Toronto, Ontario Katılım Mayıs 2023
70 Takip Edilen189 Takipçiler
Barstool Sports
Barstool Sports@barstoolsports·
The Hurricanes might’ve created the best beer drinking device we’ve ever seen
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Steve
Steve@AlbertaSteve123·
@guyfelicella I can’t wait for the U.S. to stop selling Canadian alcohol. Ninety percent of Canadian alcohol goes south. Your logic bankrupts many Canadian alcohol producers.
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guyfelicella🇨🇦🍁
guyfelicella🇨🇦🍁@guyfelicella·
DUDE. Wab Kinew just went nuclear: “Drop the Epstein files… then we’ll lift the booze ban.” Translation: you don’t want them public because your name’s in there, Donald Trump! Love this guy!
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Agent Provocateur®
Agent Provocateur®@Provocative_one·
@Tablesalt13 And people are claiming the Americans are unhinged and intolerant. Does anyone realize the economic impact their banning Canadian spirits and alcohol would have on our economy?
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Tablesalt 🇨🇦🇺🇸
Tablesalt 🇨🇦🇺🇸@Tablesalt13·
At this point, the USA needs to ban Canadian booze. 90% of Canadian booze is exported to the USA. Its crazy that we ban US booze, flaunt it and talk shit about it...... but the Americans are still allowing ours in.
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Louise Koke
Louise Koke@louise_koke·
@sarobertsonca @ElkeBabiuk Even if the US were to whine, complain and threaten their way into returning American alcohol to Canadian shelves, there is a strong possibility that it would sit on those shelves...unpurchased.
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Scott Robertson
Scott Robertson@sarobertsonca·
Ralph Goodale: "Removal of the alcohol from the shelves in Canada by certain provinces was not capricious or arbitrary, it wasn't intended to be an insult to American producers. What it was was a direct reaction to the abuse heaped upon Canada by the United States."
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bob plager
bob plager@BobPlager·
@sarobertsonca We own all your alcohol, other than crown royal. There is no such thing as canadian alcohol....dipshit
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Scott Robertson
Scott Robertson@sarobertsonca·
Wab Kinew: "We're not going to sell your alcohol and we're sorry if that harms hard-working Americans out there. But you know what to do when it comes time to vote in the midterms or comes time to vote for president again -- throw the bums out as the saying used to go."
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Rbig18
Rbig18@Robinsoss·
@sarobertsonca Not sure why the US does not take Canadian alcohol off the shelves. Tit for tat.
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Scott Robertson
Scott Robertson@sarobertsonca·
Jean Charest: "When the Americans say to us, 'put the alcohol back on the shelves,' our answer is, well, excuse me, what about the steel and the aluminum tariffs?"
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angela
angela@tribez1976·
@sarobertsonca I hope the US, a nation 10 times our size, stops buying canadian alcohol.
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Jo Trader
Jo Trader@JoTrader4·
@sarobertsonca This is literally how stupid these people are. Roughly 85–90% of Canadian-produced alcohol (beer, spirits, and wine) that is exported goes to the United States. Save yourselves Manitoba and Ontario.
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Ruby Twoshoes
Ruby Twoshoes@T542Twoshoes·
@sarobertsonca What if the Americans ban Canadian products? Canadian alcohol for instance. There are a whack of drunks in Canada but not enough to sustain that industry
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Scott Robertson
Scott Robertson@sarobertsonca·
Rob Russo on the boycott of American products and tourism: "Canadians are a gentle people, but once roused, they'll pull the sweater over your head and bat you about the ears with abandon."
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Eugene Chan
Eugene Chan@eugeneychan·
Everywhere I look, teams deploy AI as if trust, interpretation, and workflow psychology don’t matter.
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Eugene Chan
Eugene Chan@eugeneychan·
@SameerKhan Exactly. AI deployment often stalls after pilot (and usually does) when there are workarounds and overrides. These are behavioral issues, not related to structure, process, governance, or even change management.
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Sameer Khan
Sameer Khan@SameerKhan·
Stop Training Models You’ll Never Use: The Real Problem with AI Projects Why do most AI projects stall after the pilot? Here’s a reality check: 85% of AI initiatives never become daily business tools. In this quick breakdown, I share the real reason: Teams get obsessed with model training and benchmarks—when the only thing that matters is adoption inside real workflows. I walk through a proven, three-step approach to cut through the noise: 1.Identify actual bottlenecks that waste time every day 2.Integrate AI directly into the tools your teams already use 3.Launch fast pilots, measure usage, and adapt—before you ever think about custom training Plus, a true story of a SaaS client who slashed costs and boosted adoption by moving from a heavy, custom AI model to a lean, integrated workflow using off-the-shelf tools. If you want your next AI project to actually deliver value, this is a must-watch.
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Eugene Chan
Eugene Chan@eugeneychan·
@Gruve_ai @MayfieldFund @Cisco_Invests Exactly. AI deployment often stalls after pilot (and usually does) when there are workarounds and overrides. These are behavioral issues, not related to structure, process, governance, or even change management.
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Gruve
Gruve@Gruve_ai·
Most AI projects stall in pilot mode. We’re here to change that. Gruve has raised a total of $37.5M, including a recent $20M Series A, to help enterprises deliver real AI outcomes—fast. Thanks to @MayfieldFund + @Cisco_Invests for backing the vision. More here: gruve.ai/news/gruve-ai-…
Gruve tweet media
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Eugene Chan
Eugene Chan@eugeneychan·
@AICapitalRisk AI deployment often stalls after pilot (and usually does) when there are workarounds and overrides. These are behavioral issues, not related to structure, process, governance, or even change management.
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EasyEngage
EasyEngage@AICapitalRisk·
Most AI pilots succeed. Scaling is where capital gets wasted. The pattern we see most: Pilot works → capital committed → real conditions hit → deployment stalls. We call this AI Capital Risk. Our short diagnostic tells leadership whether to Pause, use Controlled Investment, or Authorize Deployment. stratifyinsights.ai
EasyEngage tweet media
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Eugene Chan
Eugene Chan@eugeneychan·
@Dusty_fajitas AI deployment often stalls after pilot (and usually does) when there are workarounds and overrides. These are behavioral issues, not related to structure, process, governance, or even change management.
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roads
roads@Dusty_fajitas·
I’m running a small AI Recursion Compliance Review pilot: Map your decision loops, classify risk patterns, and deliver 3 targeted structural interventions. Reply "loop" if you want details on the pilot.
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roads
roads@Dusty_fajitas·
Most AI failures aren’t model failures. They’re structure failures. - Thread on how negative feedback loops quietly destroy compliance in fast-moving AI teams.
roads tweet media
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Eugene Chan
Eugene Chan@eugeneychan·
@JimMarous Exactly. AI deployment often stalls after pilot (and usually does) when there are workarounds and overrides. These are behavioral issues, not related to structure, process, governance, or even change management.
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Jim Marous 💯
Jim Marous 💯@JimMarous·
Pilot programs don’t create value. Deployment does. The banks that operationalize AI will turn investment into impact while others fall behind. Download your free copy of Agentic AI: Powering the Self-Driving Bank: tinyurl.com/5ymxeb35
Jim Marous 💯 tweet media
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Eugene Chan
Eugene Chan@eugeneychan·
@gaia_intelflows @OptimumDWC AI deployments stall not because of governance or structure or even process, but because of behavioral issues such as workarounds and overrides.
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Gaia - AI
Gaia - AI@gaia_intelflows·
@OptimumDWC The 88% gap between planning and deployment is almost always workflow integration, not the AI itself. The agents work — it's the HRIS connections, approval chains, and exception handling that stall everything. That's the unsexy work that actually ships production AI.
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Optimum Partners
Optimum Partners@OptimumDWC·
Month four of the AI initiative. Pilot ran clean. Board approved the budget. Three department heads, one shared budget, no agreement on workflow one. This is where most programmes die.
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Eugene Chan
Eugene Chan@eugeneychan·
@thomaswgreen AI deployments stall not because of governance or structure or even process, but because of behavioral issues such as workarounds and overrides.
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Thomas W Green
Thomas W Green@thomaswgreen·
Do not let your AI initiatives stall. We demand REAL BUSINESS VALUE from every deployment. Like and comment below if your organisation is ready to scale.
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Thomas W Green
Thomas W Green@thomaswgreen·
Transform AI pilots into real business impact. It is time to bridge the critical gap between promising experiments and enterprise-wide production. We must redefine how we qualify AI.
Thomas W Green tweet media
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Eugene Chan
Eugene Chan@eugeneychan·
@Ema_Unlimited AI deployments stall not because of governance or structure or even process, but because of behavioral issues such as workarounds and overrides.
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Ema, the Universal AI Employee
Ema, the Universal AI Employee@Ema_Unlimited·
Most enterprises don’t have an AI problem; they have a production problem. While building an AI agent takes hours, shipping it to production often takes months. Between the initial demo and actual deployment, most initiatives stall due to security reviews, compliance overhead, rising costs, and a lack of transparency. While the industry is flooded with tools to build agents, there is a significant lack of infrastructure to run them in a way that is governed, observable, secure, and cost-controlled at scale. In our latest blog, Souvik Sen breaks down: - Why enterprise readiness is the most challenging aspect of agentic AI. - The six essential capabilities every production-grade agent system requires. - Why a universal agent control plane is becoming inevitable. The shift from prototypes to production systems is already underway. The enterprises that successfully bridge this gap will define the next decade of software. ​Link to the full blog in the comments.
Ema, the Universal AI Employee tweet media
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Eugene Chan
Eugene Chan@eugeneychan·
@salstabler AI deployments stall not because of governance or structure or even process, but because of behavioral issues such as workarounds and overrides.
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Sal Stabler
Sal Stabler@salstabler·
AI agents build in minutes. They stall on deployment. That is the real bottleneck. One command fixes it.
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