Michal Bachman

Want to discover the secrets of using @neo4j with Docker? 🔍 Join @ikwattro for his talk at Nodes 2022! Register via the link: hubs.ly/Q01qS7K60

In the last decade, there has been 2 technologies I've been using every single day, namely @neo4j and @Docker . I'm happy to be accepted for the #Nodes2022 conference to present a deep-dive session on Neo4j with Docker and Docker Compose. neo4j.com/nodes-2022/

Thank you for the shout-outs @lnordwall and @maya_natarajan! Come to our booth to talk #knowledgegraphs #nlp #machinelearning and #intelligence powered by #graphs

Just in time for @neo4j #GraphConnect, we have a new fresh video overview of Hume - The Mission Critical Graph Analytics Solution. 🎉🎉 Kick-start your graph journey with Hume!

Coming down to Austin for #GraphConnect 22 next week? Check out the @graph_aware booth and look for @AlessandroNegro resident #graphdatascience author and gain some graph wisdom! linkedin.com/posts/alessand…

Yesterday was Thursday, Communities Day at @graph_aware. Here’s how we connect across teams and share knowledge. We’re a graph company, it’s reflected in everything we do. hubs.ly/Q016bHJ10

GraphAware #communities are means for #knowledge sharing. Curious to see how they work and what are we learning about right now? Read our latest blog! hubs.ly/Q016bJh30

🔥🔥 FREELANCE OPPORTUNITY  🔥🔥 ➡️ @graph_aware  🇨🇿 Prague, Czech Republic but the job is open to candidates in Europe (or Europe timezone) 🌎 REMOTE vuejobs.com/jobs/1960-remo… #vuejs #freelance #remotework #frontendjobs

And that's a wrap! Our 2021 was filled with growth, hard work, and fun hubs.ly/Q011hZqW0. We can't wait what will 2022 bring #PF2022 🎉🥂🎉

It was an absolute pleasure working with the @graph_aware team, their expertise in graph databases got our graph db speed down from +1 min to 1 second. graphaware.com/graphaware/202… @AppBreadcrumbs

Join Graphable VP Consulting @wllvns to look at node grouping in GraphAware's Hume (Graph-Powered Insights. Extracted, connected, visualized), powered by @neo4j & subscribe to our YouTube channel. #tryhume #datascience #ml #nlp #neo4j #graphdatabases lnkd.in/d-KfACYc

By 2025, #graphs will be used in 80% of #data & #analytics innovations. #Neo4j's $325M funding round only confirms that. Congrats @Neo4j! Proud to be on this journey with you and looking forward to helping accelerate the adoption of graphs with @TryHume. hubs.ly/H0QZl3C0

Cutting-edge technology? ✅ Strong vision? ✅ Opportunities to make a real impact? ✅ Growth trajectory? ✅ ... and did we mention the product? #ML, #NLP, #AI, #datascience, all there. Be part of it! Apply now! #frontenddev #backenddev #devops graphaware.breezy.hr

Today is Leonard Euler's 𝛑*100 birthday and graphs are everywhere, in all languages and cultures! youtube.com/watch?v=j6mKie…

We all know this: A few days back when exploring a #knowledgegraph you have found something. Now your data have changed and everything is in disarray 😱. Or is it? Hume 2.8 brings in snapshots! Not just still images, you can continue to work with them 🤯. Watch how:

In this week's #twin4j, @ikwattro shows off the new change data capture connectors built for RabbitMQ, AWS SQS, Azure Service Bus, and CloudEvents with Knative buff.ly/3s3l0H9 #Neo4j #changedatacapture #GraphAware

Blog: Read "Registering a custom analyzer for phonetic search in @neo4j 4" by @luannem where you can learn to address problems where words are typically misspelled and exact matches not found. hubs.ly/H0J4fVv0 #GraphDatabases #NLP #Neo4j #PhoneticSearch

In this week's #twin4j, Dr. Alessandro Negro announced the release of version 2.7.0 of Hume, GraphAware’s graph-powered insights engine. buff.ly/2ZW5hxO #Neo4j

New Release: Introducing Hume 2.7 - Enhanced search relevance, improved visualisation and much more! Read all about it here - hubs.ly/H0Hc5SX0 @TryHume #graphdatabases @neo4j #Neo4j #datascience #knowledgegraphs #nlp

Blog: In part 1, we created an Art #KnowledgeGraph with @TryHume. In part 2, we will have a look at four use cases demonstrating how to get insights from it and use the Graph Data Science Library to suggest similar paintings. hubs.ly/H0DqHzZ0 #DigitalArtHistory