Tencent WeChat company review
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WeChat is a messaging app owned by Tencent that launched in 2011 and has grown to over 600 million users by 2013. It allows audio messaging, integration of other social features and payments, and has added new services like taxi booking. As a competitor to WhatsApp and Alibaba's Alipay, WeChat continues to introduce new features, attracting more users and challenging other messaging platforms.
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http://bigblueball.com/im/top-10-instant-messaging-apps/
www.wechat.com
http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stats/
http://www.ishmaelscorner.com/2014/01/21/wechat-campaign-in-china-offers-glimpse-into-the-future-of-communications/
http://www.chinainternetwatch.com/5261/10-case-studies-for-wechat-marketing/
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
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Tencent WeChat company review
- 3. History Owned by Tencent 2011.01 Launched 2012.03 100M users (443 days) 2012.09 200M users (6 months) 2013.01 300M users (4 months) 2013.10 600M users (9 months)
- 4. What’s Special? Audio Message Integration of SMS, social networks, games, even payments Different ways of adding friends http://www.techinasia.com/wechat-indonesia-
- 5. What’s Hot? Added taxi booking and payment service in January 2014 Support for Didi Taxi Service 21 million rides booked on WeChat during the first month
- 6. Interesting Story WeChat Tenpay Strong competitor to Alibaba Alipay Attract users by offering coupons for each purchase or taxi ride to both buyers and sellers
- 7. Tencent Financial Info IPO 2004 in Hong Kang Market value exceeds $100B Sep. 2013 WhatsApp 19B => WeChat 13B
- 8. Competitors
- 9. Prediction Success: yes New features: yes Substituted by new ways for messaging: yes