Arvato’s Post

At Fase, we have developed several different AI/ML based applications. Some examples include processing and predictions using sensor data, training deep neural networks for recommendation systems We build and validate custom AI/ML models, ensuring a seamless operation and integration of AI/ML algorithms into cloud/mobile/or edge infrastructure for a fully functional solution. Chat with us >>> https://lnkd.in/dAJcHAMj #AIMachineLearning #ProductDevelopment #Innovation #Tech #AI #MachineLearning #ProductDesign #TechTrends #FutureTech #ProductInnovation #AIdevelopment #TechProduct #ML #ArtificialIntelligence

In a recent article, Donato Montanari reveals some eye-opening insights into the automotive industry's AI and machine vision usage. Nearly 20% of leaders in Germany and the UK believe their AI systems could perform better.  🧠It’s clear that optimizing deep learning and cloud computing in machine vision applications is a key focus. Click for Donato’s full perspective: https://lnkd.in/eYW2VDan  Key findings include the importance of cross-site data sharing to improve model accuracy and how a cloud-based platform can enhance collaboration, training, and deployment of AI models.  Machine vision solutions that leverage real-time data and a diverse range of inputs ensure higher precision and reliability. By breaking down data silos and adopting a cloud-based approach, manufacturers can unlock the full potential of AI and deep learning. And we can do that, with Zebra.  #IndustrialAutomation #AI #MachineVision #Automotive #Innovation #ZebraTechnologies #DeepLearning #CloudComputing 

Excited to announce the publication of our research paper titled "Federated Learning in Healthcare: Enhancing AI Models with Cloud Collaboration for Patient-Centric Advancement". Grateful for the collaboration with my co-authors Vaibhav Kumar Sahu , Arshiya K. , and guidance from our esteemed faculty mentor Nishaa Pravesh. This paper dives deep into the intersection of healthcare and AI, exploring innovative ways to empower patient-centric care through federated learning. #HealthTech #AI #Research

https://lnkd.in/gU_3rzUt Embracing the Edge of Innovation in AI The landscape of artificial intelligence is witnessing a transformative era with the advent of new and robust foundational models. Trained on the expansive resources of the cloud, these models are not just marvels of modern computation but also the seeds for tomorrow’s technological breakthroughs. The journey that these models take as they transition from the cloud to the very devices in our hands is relatively complicated. The optimization process is a meticulous blend of engineering prowess and creative problem-solving, ensuring that these AI behemoths are not only efficient but also adaptable to the constraints of on-device operations. As we integrate these optimized models into a myriad of creative applications, we unlock a spectrum of possibilities. From enhancing real-time decision-making to personalizing user experiences, the applications are as diverse as they are impactful. I think it is essential to improve the development platforms for on-device AI to craft solutions running on the device in our pocket. #AI #Qualcomm #EdgeComputing #Innovation

Great Women In Technology panel today at the HPE Public Sector Summit. Thanks to the panelists (Krista Satterthwaite, Susan Shapero, Sharon Woods, Ann Rusher and Ellen Ferraro) for sharing valuable insights. Some key takeaways: set your thermostat for what you want to achieve, opt-in (take the best seat - you deserve it), and make sure your boss can tell your story.

Interesting read on AI compute workloads switching from training to inferencing in the next few years and getting closer to the edge. The investment implications will be significant. https://lnkd.in/e_7RuDMX

Hi All,Just finished the course “AI Show: Applied AI - Computer Vision and Optical Character Recognition (OCR)” by Microsoft Learn and Seth Juarez! Check it out: https://lnkd.in/gCxZ-q5r #opticalcharacterrecognition #artificialintelligence #computervision.

🎉 Excited to share that I've completed the Introduction to Responsible AI course from Google Cloud Skills Boost! 🚀 In a world where AI is becoming more prevalent every day, understanding the importance of Responsible AI is crucial. This course gave me insights into how AI can be harnessed ethically and responsibly, aligned with Google’s 7 AI Principles. From exploring the potential of AI to addressing its risks, I’m thrilled to have gained a deeper understanding of how these principles guide innovation in a way that benefits society. 🌍💡 #ResponsibleAI #EthicalTech #AIprinciples #ContinuousLearning #GoogleCloud #AIforGood #TechforGood #AI

NVIDIA's Tech Strategy of 2023: A Comprehensive Report https://bitly.ws/36yiy #NVIDIA #TechStrategy #AmazonWebServices #AWS #GenerativeAI #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

In 2024, key trends in AI and data include making AI easier for everyone to use, improving people's data skills, and using AI tools to help businesses run more smoothly. Companies are focusing on training and setting up clear rules for AI to manage complex data and encourage innovation. https://lnkd.in/eXRfzeRt