Applaudo wins the 2026 Google Cloud Partner of the Year Award for Public Sector in Latin America. ⭐️
Thank you to @gcloudpartners for this recognition 🏆
Read the press release: https://t.co/f0dReSMb4a
#GoogleCloudPartnerAwards#GoogleCloudPartner
@Forbes Gates's read is worth sitting with. His frame: policy incentives at country level drive transition. Same pattern inside companies—teams building observability and recovery infrastructure ahead of policy. Pattern across systems we've shipped.
Before your next AI initiative: ask your team one question. "How do we prove this created business value in six months?" If nobody answers, you're not ready. If you don't know where to start we can guide you
https://t.co/giVs01d5uO
#AIStrategy#AIImplementation#AINative
We've watched this pattern across the industry: winners define strategy before building. Most teams build first, and measure impact later. That one decision determines whether a project scales or stalls. Business value compounds from clarity, not from capability. 👇
@GlenGilmore Congrats to Nvidia and Cloverleaf. More compute online means more AI systems finally reaching production. That's the part worth watching: what teams actually build once the capacity is there.
@levie Heterogeneity is opportunity. But it's the problem nobody talks about. Different models, different routing, different access patterns create chaos. The hard part isn't choosing strategy. It's making five approaches coexist reliably in production without breaking.
@VuelaJetSMART@Starlink Internet on flights that actually works changes how teams operate across regions. Starlink + JetSMART in 2027 is a game-changer. Congrats on making this happen. #Starlink#JetSMART
@Microsoft Whale detection in the Salish Sea shows what we often miss. AI in conservation. AI in healthcare. AI in logistics. Same tool, different problems, real impact. That's where the interesting work is.
@levie Most teams nail the model, then hit a wall with everything else. Evals, orchestration, handling different workflows. That's where the actual work is. The model's just the starting point.
@FlyFrontier@Starlink Starlink + Frontier is a real differentiator for travelers.
Wi-Fi onboard transforms the experience. That's the kind of move that matters.
@dessaigne Processes work when they solve real problems. Most teams add processes that create friction instead. The two-week cadence works because it forces clarity on what actually matters. Skip the theater, keep the structure that ships.
@shishirmehrotra This is a judgment problem more than a model problem. Knowing which model fits which task takes a team that has made that call before.
If you're shipping agents, start here: pick models for
reliability, not just capability. Build failure detection.
Plan for recovery before you need it. That's not glamorous.
But it's what separates the teams that actually ship from
the ones that cancel.
Gartner's saying 40% of agent projects get cancelled by 2027.
Everyone's building agents, but nobody's talking about why they
actually fail. Let’s break down what we're seeing 👇
We've watched this play out lately. Teams that treat agents like infrastructure problems, not just AI problems, sustain them. Teams that focus on capability first hit a wall fast. The 40% cancellation rate tracks exactly with that split.