Jens Skyman’s Post

A must-see session to learn how software leader Nexthink is using AI in its products.

Join me at #aws #reinvent where I will be a speaker in one of the sessions: "ANT405 | Data engineering for ML and AI with AWS analytics". I'll be talking about our data platform, how it helped us build innovative AI/GenAI products and share some nuggets about how to make GenAI applications work & scale in real-time when using big data. All leveraging aws services and some data engineering practices. If you are in #LasVegas, pass by and ill be happy to meet and connect! Session: https://shorturl.at/fEXJn #AI #GenAI #DataEngineering #MachineLearning Amazon Web Services (AWS) #Nexthink Nexthink

Expedite your AI journey, learn from AWS' leading generative AI specialists, who will share their expertise and provide practical guidance on leveraging this technology effectively. Each Generative AI Day workshop is a full day of hands-on activity. IT Managers, Developers, Data Scientists, IT Architects, and GenAI Enthusiasts would benefit most from attending. #artificialintelligence #generativeAI

AWS has featured a case study showcasing how TurinTech AI empowers Data teams to optimise code performance! Our generative AI platform enhances efficiency, reduces infrastructure costs, and bridges knowledge gaps, helping teams deliver exceptional results. Check it out!

Learn how the OpenShift AI platform accelerates the transition from development to production, enabling faster deployment of AI solutions with unmatched efficiency. Come join this AI event on March 28th, hosted by Piros

I'm excited to share our latest blog post, "From RAG to Fabric: Lessons Learned from Building Real-World RAGs at GenAIIC - Part 1." In this insightful article, we explore the foundational concepts of Retrieval-Augmented Generation (RAG) architecture and provide practical tips for optimizing text-based RAG solutions. The AWS Generative AI Innovation Center (GenAIIC) focuses on helping customers leverage generative AI to drive business value. With the growing demand for chatbots that seamlessly extract information from extensive knowledge bases, our team has compiled important lessons learned while implementing RAG solutions across various industries. The first part of this series covers: - The basics of RAG architecture - Techniques for optimizing text-only RAGs - Strategies for evaluating RAG performance and enhancing reliability We believe these insights will provide a valuable foundation for organizations starting their generative AI journeys. To read the full post, click the link below: [From RAG to Fabric: Lessons Learned from Building Real-World RAGs at GenAIIC - Part 1](https://ift.tt/lf4ZpSr)

Exciting advancements in machine learning deployment are being made by Crexi, as showcased in our latest blog post. Collaboratively written with Isaac Smothers and James Healy-Mirkovich from Crexi, we delve into how they successfully deployed ML models on AWS at scale, significantly enhancing operational efficiency. As the demand for AI/ML solutions continues to rise, understanding how to effectively train, deploy, and manage models is critical for businesses aiming for growth. This post provides insights into Crexi's innovative framework, which integrates AWS services and modern tools like Pulumi and Datadog, ensuring a streamlined MLOps process. Learn how Crexi navigated the complexities of ML pipeline engineering, achieved seamless model deployment, and harnessed the power of automation and observability to optimize their workflows. Discover the full story and the specific technical solutions that enabled this transformation by visiting the link: [How Crexi achieved ML models deployment on AWS at scale and boosted efficiency](https://ift.tt/SkaFXT9).

Ever feel like you're missing out on MLOps and GenAI? I am anti-FOMO, but one of the best ways to get exposed to **relevant** tech is through conferences. Where you have the chance to meet new people who solve real-world problems. No bull****. But... The quality of the event is critical. You want to be surrounded by value. After some digging, I realized that the 𝗠𝗟𝗢𝗽𝘀 𝗪𝗼𝗿𝗹𝗱 𝗮𝗻𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗪𝗼𝗿𝗹𝗱 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 is the right place to be. It's an in-person event where you can learn about MLOps and GenAI. . Here are a few talks from the conference that caught my interest: - "Everything you need to know about fine-tuning" by Maxime Labonne from Liquid - "Optimizing AI/ML Workflows on Kubernetes: Advanced Techniques and Integration" by Anu Reddy from Google - "Generative AI infrastructure at Lyft" by Konstantin Gizdarski from Lyft - "Scaling vector DB usage without breaking the bank: Quantization and adaptive retrieval" by Zain Hasan from Weaviate +40 other talks and workshops from people working at companies leading the GenAI and MLOps space, such as: - Modal Labs - Hugging Face - Grammarly - Mistral AI - MongoDB - AutoGPT - Netflix Just look at Maxime's mustache. You have to come! . The conference is hosted in Austin, Texas, starting on the 7th of Nov. Consider buying a ticket — use my link to grab 15% off: https://lnkd.in/d79HgbVJ More details here: https://lnkd.in/dnTiF7nx #machinelearning #mlops #artificialintelligence

Are you heading to AWS Summit Toronto 🇨🇦? So am I (with the amazing Adrienne and Mathew)! If you're also attending (or considering attending) send me a message and let's connect. #awssummit #aws #genai #toronto

Couldn't make it to TDX? No problem! In this virtual Meetup, we're going to reprise two TDX sessions: Discover Lessons Learned Using MuleSoft Automation: Explore an IRS compliance use case for a MuleSoft Automation customer using AWS Textract. Discover key learnings from this use case so you can confidently implement yours. AI & Observability: The Future of Distributed Tracing: Navigate the challenges of scaling healthy tech integrations with Anypoint Monitoring. Explore the future of observability and the impact of AI. MuleSoft Community MuleDreamin