내가 좋아할 만한 콘텐츠
🚫 AI is not a one-size-fits-all solution. Know when NOT to use it to avoid costly mistakes. Here are some key considerations. #AIstrategy #business
Through VR/AR, learners can transcend traditional boundaries and embark on interactive journeys that bring abstract concepts to life. #gainwithstewartilondanga #AR #AI #MR #XR #5G #NFT #Web3 #SaaS #AIoT #MLOps #Space #slack #DevOps #fintech #Metaverse #PS5 #X
New Release MiroTalk Live Broadcast github.com/miroslavpejic8… #100Devs #webdev #Webdesign #HTML #CSS #javascript #docker #nodejs
Da ich ja selber in einem kabelgebunden Smarthome lebe, habe ich mal versucht die Vor- und Nachteile zusammen zu schreiben. bit.ly/42bg6tA #smarthome #kabel #knx
Unlocking AI's potential: MLOps ensures seamless collaboration, scalability, and continuous improvement. Embrace MLOps for reliable AI solutions! #MLOps #AI
Da Container aus meiner Sicht immer noch ein interessantes Thema sind, hier mal ein Artikel mit den Unterschieden zwischen #Docker und #Kubernetes modius-techblog.de/docker-vs-kube… #containers #DevOps #development #k8s
Only a uniform and global AI regulation makes sense. #AI #regulation #MindfulAI
Can we use #bigdata to fight child abuse? The answer is complicated;The mother’s age. The parents’ history with drug or alcohol abuse. The young person’s experiences with child bit.ly/3Mm5cvr #7wData #DataStrategy
7wdata.be
Can we use big data to fight child abuse? The answer is complicated | 7wData
An estimated four to eight children die every day from abuse or neglect in the U.S. An estimated 4 to 8 children die a day from neglect or abuse in the United States. Researchers are exploring how...
(simplified) 1. Data-Literacy, -Awareness 2. Data Strategy 3. AI-Strategy "AI, for AI's sake, is a nearly guaranteed path to disaster." ~ (MINDFUL AI) More inspirational Thoughts, Essays, and Slides👉 lnkd.in/eTuEJjFP #DataStrategy #AI #AIStrategy #diversity #datadriven
Took me 20 YEARS to PLAY THIS! youtube.com/shorts/zFc_QaF… via @YouTube
youtube.com
YouTube
Took me 20 YEARS to PLAY THIS!
Building #MachineLearning systems is hard. Some of the components you need: 1. Data sources 2. Data pipelines 3. Feature stores 4. Model training 5. Model evaluation 6. Model deployment 7. Model monitoring 8. Predictions API 🌟➡️ @AbacusAI can help you with all this and #MLOps
#infographic Five commandments of AI Adoption via @antgrasso #AI #AIadoption #AIstrategy #AIimplementation #businessAI #AItransformation #digitaltransformation #datamanagement #AIgovernance #AIethics #AIsuccess
I just subscribed to Unwind AI unwindai.substack.com/subscribe?utm_…
Android vs. iOS. Ich habe mir mal zu beiden Betriebssystem die Datenschutzfunktionen angeschaut und einen kleinen Artikel dazu geschrieben. social-sec.de/sicherheit-und… #android #ios #Apple #Google #smartphone Foto von Claudio Schwarz auf Unsplash
Monitoring der IT Infrastruktur ist für jedes Unternehmen ein Thema. Mich würde hier mal interessieren auf welche Software ihr zurückgreift. #Icinga2 ? #prometheus ? Oder doch etwas komplett anderes? #monitoring #devops
Today ist blog day. I now have three blogs. Make are more maintained than others. Especially the older ones I have to do today. #blogsunday #writingContent #pathToFinancialFreedom
Wenn ihr euch für das Thema #Smarthome interessiert, würde ich mich freuen wenn ihr meinem Channel auf Facebook folgen könnte =) facebook.com/profile.php?id… Die Reichweite muss noch etwas steigen um eine bessere Sichtbarkeit zu kommen. #Smarthomelabs #hausautomatisierung
Brauch mal etwas Unterstützung für die ersten Follower auf der Facebook Page =) Also gerne teilen und vor allem folgen =) facebook.com/profile.php?id…
Zwar schon etwas älter, freu mich aber trotzdem über jeden klick =) linkedin.com/pulse/my-life-… #LinkedIn #MachineLearning #developer #mlops
If teachers are now afraid that students are increasingly cheating with #ChatGPT: The reason for increased cheating is not to be found in the students, but in the instruction. Design learning environments and tasks in such a way that cheating is not possible or not worthwhile.
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