Semantics
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This document discusses semantics and how the meaning of words can affect business. Semantics is the study of meaning, specifically the relationship between words and their meanings. Words can have multiple meanings or connotations that lead to misunderstandings. Examples are given of words like "pen", "like", and others that have more than one meaning. The document also outlines several theories of semantics and types of semantic analysis, such as how meanings can transfer or be prohibited. It concludes with discussing a case study on challenges Walmart faced in the Japanese market due to semantic differences.
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Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
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We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
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The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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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?
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8. Monitoring Application Metrics with Prometheus
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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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Semantics
- 1. SEMANTICS: HOW THE WORDS AFFECT OUR BUSINES LIVES
- 2. SEMANTICS Semantics is the study of meaning. It typically focuses on the relation between signifiers, such as words, phrases, signs and symbols, and what they stand for. It is often used in ordinary language to denote a problem of understanding that comes down to word selection or connotation
- 3. EXAMPLES OF SEMANTICS “Pen” is a word with two meanings: i. A pen to write with ii. a place for animals that has fence all around “Like” is also a same kind of word: i. For liking someone ii. For giving example.
- 4. MORE WORDS…. Cheap Plant Watch Stand Leave Bark Stamp
- 5. THEORIES BASED ON SEMANTICS Model Theoretic Semantics Truth-Conditional Semantics Lexical & Conceptual Semantics Lexical Semantics Computational Semantics
- 6. TYPES OF SEMANTICS RIGID OPPOSITION TRANSFER OF MEANING PROHIBITED THOUGHTS SEPARATION STIGMA UNDERMING THE MOTIVE
- 7. ROLE PLAY
- 8. CASE STUDY The focus of this case study is the hurdles faced by retailing giant Wal-Mart in the Japanese market.
- 9. BIBLIOGRAPHY http://en.wikipedia.org/wiki/Semantics#Theories_in _Semantics http://www.psychology.stir.ac.uk/staff/agillespie/doc uments/Gillespie_Alternativerepresentationsandse manticbarriers_000.pdf http://www.casestudyinc.com/walmart http://www.blurtit.com/q757653.html http://grammar.about.com/od/rs/g/semanticsterm.ht m
- 10. THANK YOU