@AlertesInfos Depuis quand les ministres n’ont pas le droit de ressentir ce qui est permis à n’importe quel être humain c’est à dire d’avoir des émotions ! Le ridicule ne tue pas 🥲🥲 passons !!
Congratulations to @TigerGraphDB on being the first to successfully pass an LDBC SNB Business Intelligence workload audit on scale factor 1000. Their setup used the @AMD EPYC 9354 (Genoa) CPUs announced today. The results are available on the LDBC website.
https://t.co/X3QocaTsRR
💡 Join triple Kaggle Grandmaster @Urengaraju for a webinar on Nov 22nd! Attendees will learn the basic mechanism of #graph#neuralnetworks and the concepts and methods in unsupervised node outlier detection on graphs. Register here: https://t.co/YcBhcXmFCA #graphdatabase
Want to learn how to combat the issues currently facing the retail industry using @TigerGraphDB's #graphdatabase and #machinelearning technology? Watch this fascinating #Graph & #AI Summit session! https://t.co/AdqlAsgCpb
Financial institutions are both powerful and vulnerable, making them a target for fraud and cybercrime. Find out how you can protect your organization's assets and clients with @TigerGraphDB’s deep link #analytics and native parallel #graphs: https://t.co/MGoGyZBRwt
According to @Gartner_inc research, #data and #analytics leaders must include #graph techniques in their toolbox. Download the 2022 research report to learn how you can use graph to bring new value to your organization. https://t.co/qObKkXaeS8
🇪🇸 Viva la Barca! We’ll be at @Gartner_inc IT Symposium in Barcelona in exactly one month. Get your tickets now and get ready to learn about how our #graphdatabase and deep link #analytics technology is changing the #data game: https://t.co/zbbW1buFd8 #knowlegegraph
🛍️ Customer expectations are at an all-time high—if you don't deliver in line with the expectation, someone else will. See why marketing leaders are turning to #graphanalytics to improve their recommendation engines: https://t.co/B9svdxOlIp @RTouchPoints#CX#graphdatabase
For retail businesses that are comprised of multiple product lines, cross-selling is 75% less costly than new sales. The benefits are substantial, but cross-selling can be a really hard thing to get right. Find out how @TigerGraphDB can help: https://t.co/F1a2Ofb1cL
[Podcast] Want to hear from experts in the #graphdatabase space? Check out TigerGraph Connections to find out how graph technology is changing the face of business and technology. @TigerGraphDB https://t.co/LA7Mgu72KR
Find out how @TigerGraphDB is helping financial institutions safeguard their assets from fraud using #graphdatabase and #machinelearning technology! Download the solution brief here. https://t.co/eJA3iR5Lpy
“Between 2021 and 2022, there has been a 30% increase in fraud.” As it escalates, zeroing in on accuracy, using #DBGraph, is critical in detection. Discover how via @Enterprise_Time. @TigerGraphDB https://t.co/DUnnkqjQLC
How is Ph.D. Candidate David Baker Effendi using his knowledge of #graph to develop tools and documentation to help others learn @TigerGraphDB? Check out their blog to find out! #devlife#graphdatabase https://t.co/hWoBXzAxYv
Fraudulent activity is trending upwards, despite banks spending $1B annually on #frauddetection. See why Tier 1 banks are leveraging #graphbased features to overcome the accuracy barrier in fraud detection #machinelearning using @TigerGraphDB. #graphdb https://t.co/IQD0erOALb
Leading banks around the world are turning to #graphdatabase technology to reduce fraud. Read on and find out how @TigerGraphDB can help break through the accuracy barrier and move fraud detection systems to the next level via @Enterprise_Time. https://t.co/rmoAlpR6UK