Full-cycle custom software engineering company, with 17 years of market experience in .Net Development, AI-driven automation, and Computer Vision solutions
For every 1 hour with a patient, physicians spend 2 hours on EHR. 56% considered leaving the field. 80% say admin work reduces care quality.Not a staffing problem. A structural one. Here's what automation fixes: https://t.co/CqLg1qxd96 #HealthcareAI#ClinicalBurnout#AIAutomation
@Box@claudeai The hard part isn't reading the document. It's knowing that this email and that attachment are legally inseparable - and that a human made a mistake three documents ago that changes everything.
The layout problem is just the visible failure. The real issue is when the model extracts the right field from the wrong table and nobody catches it until month-end reconciliation.
Template-based OCR breaks the moment the layout shifts. Tables that span pages break. Reading order gets lost. Cross-page context disappears.
How are you handling this in production? https://t.co/LDUyeOfSCN #IDP#DataExtraction#OCR
@VaibhavSisinty 93% accuracy across 40 pages is impressive. The harder test: what happens when the invoice has a handwritten note in the margin and a stamp covering a key field?
@alex_prompter "Reduced refusals for eval purposes" is where this started. The model wasn't misaligned - it was deliberately less constrained. Guardrails aren't a toggle you flip back on after the test
Port VB6 to C# without rethinking the data layer - and a SQL injection stays a SQL injection. Just in a new language.
The modernization services market hits $52B by 2030. Most systems aren't ready.
https://t.co/SK1OnHdhuP #VB6#LegacyModernization#dotNET
@OurWorldInData@_HannahRitchie 485 TWh globally, and most of it wasted on moving data between memory and compute. The energy problem isn't just about cleaner grids - it's about rethinking the architecture that creates the demand in the first place.
@BearBullTraders 20% of U.S. electricity for data centers by 2035 - and we're still moving data back and forth between memory and compute the same way we did in the 1970s. The architecture needs to change, not just the power source.
Data centers will consume 945 TWh by 2030. Training frontier models could hit $1B per run by 2027.
Binary is hitting a wall. Ternary logic and memristors are the architecture shift nobody talks about yet.
https://t.co/orSKHDtqRA #TernaryComputing#Memristors#AIInfrastructure
@VaibhavSisinty The scariest part isn't that models misbehave. It's that they do it plausibly - everything looks fine until you ask the right question. That's not a bug, that's a feature that needs governance.
The average data breach costs $4.4 million. Most start with AI-written code that simply "worked."
Supply-chain attacks will cost $138 billion by 2031. Here's what vibe coding teams are missing:
https://t.co/KJqU7njlhj #VibeCoding#AppSec#AIdev
96% of organizations are implementing AIOps. Only 2% are actually ready.
The gap shows up fast — dashboards green, payments failing, nobody connecting the signals.
https://t.co/PDoNkSob4t #AIOps#ITOps#DevOps
@w_milczynska The infrastructure that keeps people out of the doctor's office is also what makes the AI doctor actually useful. You can't have one without the other.