Social Media And Hillel of Greater Philadelphia
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The document discusses how social networks and media can help organizations like Hillel reach their goals of engaging Jewish students. It outlines how social platforms can be used to share content, get comments on posts, write blogs, tag students in relevant content, and facilitate collaboration between students. Specific tools like Twitter, Facebook, wikis and tags are examined. General tips provided include being authentic, knowing your audience, cross-posting across platforms, and using tools to make social media use easier.
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For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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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SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Presentation of the OECD Artificial Intelligence Review of Germany
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System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
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Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Generating privacy-protected synthetic data using Secludy and Milvus
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Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
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4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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Social Media And Hillel of Greater Philadelphia
- 1. Connecting Students Jewishly Online Maximizing Social Networks A community thrives by its connections, not by its collections! It's the relationships, and the prospect of future relationships, that keep members active and excited. ~Valdis Krebs
- 6. Examples of Social Networks
- 10. What are our goals? The Mission of Hillel of Greater Philadelphia is to engage Jewish undergraduate and graduate students in Jewish life experiences, and to encourage them to identify as Jews within a Jewish community.
- 12. How can Social Networks & Media help us reach our goals?
- 13. At Hillel we want to meet students… where they are! This includes online!
- 14. Where are your students?
- 17. Using Social Networks & Media to Reach Our Goals Sharing
- 20. Using Social Networks & Media to Reach Our Goals Blogging From: www.phillyjufro.com
- 23. Using Social Networks & Media to Reach Our Goals Tag Cloud Using Social Networks to Reach Our Goals Tagging (cont.) Using Social Networks to Reach Our Goals Tagging (cont.) From http://fserb.com.br/newscloud/ 8/6/09, 8:52 AM
- 24. Using Social Networks & Media to Reach Our Goals Tagging – iambirthrightisrael From: http://www.birthrightisrael.com/site/PageServer?pagename=iambirthrightisrael_flickr
- 26. Using Social Networks & Media to Reach Our Goals Collaborating (Tagged Tanakh) From http://jpsinteractive.org/projects/tagged_tanakh
- 28. Using Social Networks & Media to Reach Our Goals Holistic Example: NJOP From: jewishtreats.org, facebook.com/JewishTreats, twitter.com/jewishtweets
- 33. But the best way to learn is to… SIGN UP AND START WORKING WITH THEM!
- 34. Questions?
Editor's Notes
- What do you this this means? Collections are data - connections are people to people! We post data, but we (hillel) are looking for the connections
- Social network vs social media
- But marketing and branding is interwoven
- ASK then click Long tail?
- Ask then click 2 overlapping but very interconnected ideas
- Old web, people were broadcasting out – those posting told those reading what to think
- New web is about user generated content – commenting and sharing Now we are all telling each other what to think and everyone shapes the conversation
- Not going to discuss marketing explicitly, but it is underlying all of these things
- Could tag in good reads
- Taken this morning
- What is a wiki
- Explain it
- National jewish outreach program – blogger, facebook, twitter – cross post data
- They are saying it anyway! Now we have a vehicle to respond