Enterprise Knowledge, LLC’s Post

To all my peeps in Amsterdam on the 9-10th April 🚨 Grafana Labs, GrafanaCon (our biggest community event) only has limited seats available - Due to sell out by next week 👀 If you want to: - Hear the latest on Grafana features, visualizations, and our other developments - See the crazy cool community dashboards people have created - Learn more about everything Grafana with some hands-on sessions and lighting talks Check it out 👇 #observability #devops #sre #cloud #logs #metrics #kubernetes #monitoring #technology

At WIDMO Spectral Technologies, we work hard every day to ensure that SGPR technology explores what lies deep beneath the ground as accurately as possible. But to achieve that goal, some of us must literally have our heads in the clouds! ☁️   Our advanced cloud-based solutions are crucial for handling vast amounts of data collected by Spectral Ground Penetrating Radar. Practically from the moment the radar gathers data during the survey, it gets sent to the cloud, where it's safely stored and encrypted. Raw data in the form of binary files undergoes a complex processing procedure in the cloud to reach our proprietary Widmo Analytics system, through which we analyze geological information and produce advanced, highest-quality echograms. Utilizing technologies like Data Warehouse gives us the potential to analyze millions of records in the blink of an eye, from anywhere on Earth, ensuring the efficiency and reliability of our operations while maintaining the highest level of security. Most importantly, our solutions are perfectly set up for scaling when we begin mass-producing our radars. All of this is possible thanks to our Data Science team, including our cloud expert Maciej Marek, who recently attained the prestigious Professional Cloud Architect (GCP) certification! Congratulations Maciej on this well-earned achievement!🎉 #SGPR #Widmo #CloudComputing #DataScience #GCP

Delve into the technical implementation of vector search at Rockset with Chief Architect Tudor Bosman and engineer Daniel Latta-Lin on Wednesday, December 6th. Register now- https://lnkd.in/gJqsMFvU More details 👇 on what's being covered in the tech talk. 🔵 Real-time updates: Rockset supports inserts, updates and deletes of vectors and metadata. It’s built on RocksDB, an open-source embedded storage engine designed for mutability. When a vector is inserted or modified, Rockset computes its Voronoi cell using #FAISS and then adds or updates the closest centroid and residual value to the search index. New data is reflected in searches in milliseconds. 🔵 Hybrid search with SQL: Rockset stores and indexes vectors alongside text, JSON and time series data. It leverages both the search index and the similarity index in parallel. Using FAISS, the K nearest centroids to the target vector are identified. Results are filtered by the K nearest centroids and metadata terms using the search index, a concept known as single-stage filtering. 🔵Separation of indexing and search: With compute-compute separation, similarity indexing of vectors will not affect search performance. Ingestion and indexing happen on different virtual instances (clusters) than search for predictable performance as you scale. #vectordatabase #vectordb #vectorsearch

Placing IT assets with all their relationships, status, dependencies, history, etc. on a map is what this video is all about. Matt Griswold, IBM product manager for the #IBM Cloud Pak for #AIOps talks you through what this is and what you can expect from the latest and greatest release of the IBM Cloud Pak. This is the link to this video: https://lnkd.in/eJHZm659 Here is a playlist to the release update series: https://lnkd.in/eBF68BzC Do you want to learn more about AIOps? https://lnkd.in/ewksfUdz Here is the AIOps community: https://lnkd.in/eRqv6gdA More videos from IBM AIOps (playlist): https://lnkd.in/ecM6raq9 Isabell Sippli Jacob Yackenovich Ian Watts Thomas Taschner Michael Mrose Carlo Moretto, MBA Carmen Raileanu Veeramani Nambi Sascha Mare Dhuha Qazi Melissa Herrle Hardy Groeger Warren Zhou Andrew Lisi #automation #operations #SRE #monitoring #correlation #analytics #IT #aiops #watson #ai #machinelearning #automation_month

In this project, I explored the Iris flower dataset through thorough data analysis, uncovering insights into its distribution and relationships. By selecting relevant features and employing various classification algorithms, I built a predictive model capable of accurately classifying iris flowers into different species. The project's documentation and code repository facilitate collaboration and further development. With future enhancements like model optimization and deployment on cloud platforms, this project lays the groundwork for scalable and impactful machine learning solutions.

Awesome blog post about GeoParquet, one of our new emerging standards at The Open Geospatial Consortium (OGC). Keep up the great work Mo Sarwat and Jia Yu!

If you are building #rag based documents and using Chroma but wondering how you can get it on the cloud like AWS with 🔐 API key protection and secure data storage - I just posted the ultimate series on how to go from localhost -> production in a way that leaves no stone unturned. The last videos got outdated so I figured why not update them since the last playlist had thousands of views and Chroma has really been cooking since. 🚀 Deploy on localhost 🚀 Deploy on Amazon Web Services (AWS) 🚀 Deploy on Render https://lnkd.in/gXmpQQg3 #retrevial #rag #chroma #vectordatabase #vectordatabases #ai #embeddings #chatwithdocs #documentautomation #chatbotdevelopment #aichatbot #opensource #opensourcecommunity #techtutorial #techeducation

Ben Lorica 罗瑞卡 and I had a fun conversation about the LLM ecosystem, RAG and how Haystack + deepset Cloud fit in there. We also touched upon design patterns for RAG pipelines, how to evaluate such systems, and how to deal with hallucinations. Thanks again for having me, Ben! Checkout the latest episode from "The Data Exchange" podcast here:

🌐 Geohashes: Simplifying Spatial Analysis 🛠️ Geohashes are an incredibly useful tool when it comes to spatial analysis. 🗺️ They serve as an encoding system that translates geographic coordinates into a short string of letters and digits, which simplifies and optimises geospatial operations.  ✨ One area where geohashes shine is in making geospatial joins more efficient.  💡We'll demonstrate how you can leverage Snowflake’s ST_GEOHASH function to improve your geospatial joins in Snowflake. Read more on how to optimise your geospatial game: https://lnkd.in/gwrKp5_h #Geohashes #SpatialAnalysis #GeospatialData #Snowflake #EfficiencyBoost #LocationIntelligence #TheProptechCloud #GeospatialJoins

Is the observability stack ready for disaggregation? Hear from our CEO, Kishore Gopalakrishna, and industry analyst, Dinesh Chandrasekhar ⬇️ Observability is a broad and dynamic field with many moving pieces. In their interview, Kishore and Dinesh discuss the possibilities of simplifying the space and how StarTree Cloud and Apache Pinot can contribute to it. A private preview of StarTree Cloud Observability was recently announced, featuring query support for metrics logs and traces. Watch this Smart Talk episode hosted by RTInsights and Stratola LLC on YouTube: https://lnkd.in/egXJqWj6 #StarTree #Observability #RealTime #Data #011y