The research on AI coding tools reveals a troubling correlation: faster output; weaker judgment. Our new piece digs into why and shows a potential solution from one of our engineers: https://t.co/rd6qosKHSH
#SoftwareEngineering#AIEngineering#OpenSource#AIFatigue#AgenticAI
Enterprise AI's hardest problems today center on data, cost, trust, and operations, rather than the models.
Our TechEx North America 2026 write-up: https://t.co/UlG07BasyA
#AgenticAI#MLOps#AIInfrastructure#DataEngineering
When trust in AI is low, so is the ROI. See how better filtering, precomputation, and validation can boost AI's speed and reliability: https://t.co/PxZ5fzAXRe
#AI#MLOps#AgenticAI#EnterpriseAI
The more complex systems are, the more important it is to build #infrastructure and processes that scale your best engineers. This is why understanding #DevOps, #SRE, and #PlatformEngineering is so vital. Find everything you need to know in our blog ๐ https://t.co/is8VosrQsb
Most AI ROI dies in production. Causes can hide in plain sight. We cover 3 pipeline bottlenecks and the real-life fixes behind them. https://t.co/9BMJyKGfjb #MLOps#AI#ML#DevOps#Infra
Question for #engineering leaders: Whatโs the actual bottleneck in your #AIdeployment right now? When we talked to teams scaling #LLMworkflows, the same answers kept coming up. We go deep on all 5 and share a case study here โก๏ธ https://t.co/0SkCmMyd2h #MLOps
Enterprises lose up to 7.5% of revenue to performance bottlenecks in industrial automation and testing systems. We explained where these losses come from and how we addressed software limitations for a US-based manufacturer of machine vision systems ๐ https://t.co/7kYfyDSzZP
Just got back from @ai_expo. ๐ค AI is moving from hype to execution. The focus is now on operationalized #AI, platforms, #MLOps, and AI ROI.
๐ก We pulled together the top takeaways โ https://t.co/YQN0Ao0dgE
๐ค Enterprise AI adoption is rising fastโyet trust in full autonomy is dropping. Why? Itโs not a crisis, but a sign of maturity. Discover 3 paradoxes shaping AI adoption โ https://t.co/D5Kjyeiwt8
#EnterpriseAI#AIMaturity#AIAdoption#AIgovernance#AIintegration
๐ From copy-paste to AI agent: we integrated Semantic Kernel into Microsoft PowerToys Advanced Paste. See how modular plugins + reasoning change the game โ https://t.co/Rhvb7yiLtk
#GenerativeAI#AIAgents#SemanticKernel#MicrosoftPowerToys
๐๐ #GeoAI is transforming industriesโbut security risks are growing. From privacy leaks in training data to malicious prompt attacks, here are the 5 biggest challenges for secure GeoAI โ https://t.co/S1ne3NDF1N
#AIsecurity#Geospatial#CyberSecurity#AIrisks
Foundation AI models push geospatial past manual GIS.
Take a tour of the leading models from IBM, NASA, and Google (link in the comments).
#geoAI#GIS#EarthObservation#Mapping#EdgeAI
PowerToys, open source, and the enterprise: Jaime Bernardo breaks down incentives, reviews, contributor paths, and dependency risks. Read the interview, part 2 โคต๏ธ
https://t.co/CqWf1nfzGG
#opensource#powertoys
When a new #LLM smashes benchmarks but users are still disappointed, who do you trust?
Our Senior Data Engineer Federico Romeo Zambelli says obsession with benchmarks is flawed. To know which #AI is best, look at user adoption. (Link in comments.)