Jessica Scott’s Post

Missed our Data for Breakfast event? No problem! We've got you covered with our upcoming virtual event. Get ready to learn about the latest trends in data, cloud, and AI. Register now at https://lnkd.in/gwzE-KFH #snowflakedatacloudplatform #data #cloud #ai

Unlock real-time insights & say goodbye to complex SQL queries! 👋 Google Cloud & Confluent are teaming up to revolutionize data analytics with LLMs. Automate SQL, optimize pipelines, & make data-driven decisions faster than ever. Read our new blog & discover the future of real-time insights! 🚀 https://google.smh.re/4MVN

Each successful proof of concept of a data science project should be followed by a phase of deployment into production, which may prove to be equally demanding and time-consuming. At the upcoming Data Science Summit, I will discuss our approach, which involves project containerization and deployment on the Azure cloud platform. You can use the code below to get a 20% discount when registering: https://ml.dssconf.pl/

Interest in generative AI has pushed businesses to move on data storage strategies, as more companies migrate from legacy vendors to the cloud. #GenAI #CloudBased #DataStrategy

Interest in generative AI has pushed businesses to move on data storage strategies, as more companies migrate from legacy vendors to the cloud. #GenAI #CloudBased #DataStrategy

Snowflake Data Cloud Summit 2024: The biggest developments announced Snowflake's annual summit followed the trend of building data infra but with enhanced focus on on key aspect — enabling teams to build powerful AI applications with their data assets.Read More https://ift.tt/GbjuaZh https://ift.tt/XYvUxCi

Interest in generative AI has pushed businesses to move on data storage strategies, as more companies migrate from legacy vendors to the cloud. #GenAI #CloudBased #DataStrategy

Interest in generative AI has pushed businesses to move on data storage strategies, as more companies migrate from legacy vendors to the cloud. #GenAI #CloudBased #DataStrategy

Who uses Sync? Organizations that invest in optimizing Databricks spend❗ Gradient by Sync uses an advanced machine-learning algorithm to ensure that your team's Databricks jobs are meeting and exceeding business objectives, like runtime and SLAs. 🤯 The best part, you don't have to change a single line of code. If you're spending tens of hours per week per developer to optimize your cloud compute infrastructure, we can help save those engineering hours and cut costs. Learn more about Gradient by Sync here: https://hubs.ly/Q02Khl4d0

💥 Every day is a gift. But some days are packaged better. Take the time to do what you love to do this weekend."😎🎯 Last night. I got the invitation from Nelly S.'s webinar, ‘"FinOps and cloud cost optimization for #ML_AI workloads, "to discover how to achieve full cloud resource usage transparency across all ML/AI experiments and minimize cloud and IT infrastructure costs. What we learned from this webinar: ✨Edwin-Alexander Kuss, Director of Global Sales at Hystax, will show you how OptScale, an open-source FinOps and MLOps platform, can be used for: ✨ ML/AI model #training profiling and a deep analysis of inside and outside metrics. ✨ Control performance and cost for every application or ML/AI experiment on a single pane of glass. ✨ Live anomaly detection and extensive functionality to avoid budget overruns. ✨ dozens of tangible recommendations, including utilising #Reserved/Spot instances and #Savings Plans, VM rightsizing, and instance family migration, help to achieve minimal cloud cost for ML/AI experiments and development ✨ Instrument #PaaS or external SaaS services, including #S3, Redshift, BigQuery, #Databricks,or Snowflake #API calls We will also schedule some time for a Q&A session to ensure we answer all of your questions. 📅 February 21 🕑10 am PST If you are interested, please register here https://lnkd.in/gNzBZbjP I look forward to e-meeting you there! FinOps and cloud cost optimisation for ML/AI workloadshystax.com