Lab Manager’s Post

Small module, big impact. 💪 The phyCORE-i.MX 93 is the brain behind smarter automation, enabling powerful, cost-effective, and energy-efficient machine learning applications in an ultra-compact footprint. Can you picture it powering your next innovation? 🔎Learn more: https://lnkd.in/g4ivBsGX

Excited to present at #benchtalkeurope today about streamlining the data capture of thousands of entities and integrating seamlessly with lab automation systems using Benchling. This approach enables AI-ready data and reduces hands-on and manual processes that can frustrate scientists.

Machine vision myths are holding industries back. Many manufacturers still believe machine vision is too costly, complex, or rigid. The reality? Today’s systems are faster, smarter, and more affordable than ever. With real-time inspection, error reduction, and scalable integration, machine vision boosts productivity and quality assurance across industries. Here are the truths that prove it. Like, comment, and share to spread awareness about the real power of machine vision. . . . #ManufacturingTechnology #MachineVision #AutomationTechnology #SmartManufacturing #IndustrialInnovation

The new Vision Transformer Learner and Predictor nodes in KNIME bring state-of-the-art image models into end-to-end workflows. You can now train, evaluate, and deploy transformer-based classifiers—all through KNIME’s visual interface. These nodes bridge the gap between cutting-edge research and production-ready automation. Explore how they fit into your next workflow in our blog post in the comments below.

"We'll just simulate it when we get to tech transfer." Too late. Here's what I'm seeing: Teams that wait until tech transfer to build digital twins are spotting their CMC delays too late. Digital twins aren't dashboards. They're not visualization tools. They're decision engines that prevent disasters before you touch the plant floor. The difference between teams crushing tech transfer and teams drowning in deviations? What struggling teams do: → Build fancy visualizations nobody uses → Wait for "perfect data" before starting → Try to model everything at once → Treat twins as IT projects, not CMC tools What winning teams do: → Pick their highest-risk unit operation first → Build a minimal data layer (tags, specs, limits, consumption) → Run 3 "disaster scenarios" - worst raw material, instrument drift, utility pinch → Convert insights into 2 SOP tweaks and 1 control limit update Here's the kicker: This isn't about perfect models. It's about making better decisions faster when the stakes are highest. You're building institutional knowledge that survives site transfers and personnel changes. The teams that get this right simulate worst-case scenarios before site transfer. They identify bottlenecks months early, update procedures proactively, and transform tech transfer from crisis management to execution. Bottom line: The digital twin you build today prevents the crisis you'll face six weeks from now. What's stopping your team from running your first in silico tech transfer simulation? 💬 #CMC #Industry40 #DigitalTwin #TechTransfer #Biotech

What does your 'AI-powered factory' look like today? AI is evolving from a single tool into an embedded factory component. The concept of AI-Pods and AI-driven software factories, as recently outlined by Relevance Lab, proves that speed and innovation are now intrinsically linked to intelligent automation. This changes everything about how we design, build, and ship. Check it out here: https://lnkd.in/e3XwXZeW

💡 IT teams waste countless hours on repetitive, low-value requests — installs, permission changes, and routine fixes. Runner-up Vinothkumar Viswanathan tackled this with an AI-powered Self-Service IT Automation Platform that uses natural language, chat-based approvals, and automation scripts to handle requests safely and instantly. Built during our Hack the Future 2025, this idea shows how smart automation can deliver real ROI — fast. ⚡

🙌 How did Adaptive Biotechnologies go from error-prone spreadsheets to achieving true end-to-end automation? See how their team saved 20 hours per month and increased throughput by 1.5x — with #BenchlingConnect.  https://lnkd.in/d9-9jzsn  #BuiltOnBenchling

🏦 Why Leading Banks & Insurers Choose Automation Anywhere The financial services landscape has shifted: 🕒 Customers expect instant answers. 🏦 Regulations are tightening. 🧠 Exceptions are now the rule. ⚡ Speed, trust, and compliance define competitive advantage. That’s why forward-thinking institutions are upgrading their automation strategies—from bots that just execute ➝ to AI-powered digital workers that reason, act, and scale. 🚀 Why they choose Automation Anywhere ✨ Process Reasoning Engine (PRE) — automates complex onboarding, lending, and claims workflows. ☁️ Automation 360 — one secure platform for RPA, IDP, GenAI, and orchestration. 🧭 Built-in compliance — trusted by top global banks and insurers. 📈 Faster ROI — modernize existing bots or leap straight into APA. 🔁 Two clear paths: ✅ Existing clients: Upgrade legacy RPA and scale intelligence. 🚀 New clients: Skip legacy entirely—start with APA built for BFSI. 💡 This isn’t just about efficiency. It’s about giving your institution the power to move faster, operate smarter, and build trust at scale. 🎥 Hear from CEO Mihir Shukla at IMAGINE 2025: https://lnkd.in/gcsyMsaS #AutomationAnywhere #APA #BFSI #BankingTransformation #InsuranceInnovation #AgenticAI #IntelligentAutomation #DigitalWorkers #ProcessReasoningEngine #DigitalTransformation #FinancialServices

Automation can answer quickly, but only people can listen properly. At Frontline, we use advanced technology to route calls efficiently, log details accurately, and keep data secure. But what sets us apart is how our people interpret those calls - the emotion, tone, and urgency behind every word. That’s the kind of understanding no system can replicate. 👉 Smart tech. Human touch. Together, that’s how trust is built . One conversation at a time.