The document outlines a unit plan for a middle school health and nutrition lesson. Students will study their own health, nutrition needs, and create menus for imaginary restaurants. They will analyze food advertising, write commercials, and role play running a restaurant. The unit incorporates standards in health, math, science, and technology and aims to develop student awareness of healthy eating through experiential learning activities.
To stay healthy and germ free, one should wash their hands after playing outside, coughing or sneezing on their hands, and before and after eating. Proper hand washing helps keep away germs so people can stay healthy.
This document provides information about Lincoln University's English language and university preparation programs. It describes the English Language Programme which includes General English, English for Academic Purposes (EAP), and other options like English for university exchanges. It also details the University Studies Programme which includes the Certificate in University Studies and Diploma in University Studies. These preparation programs help students improve their English and develop academic skills to prepare them for undergraduate degree study. The document provides information on program content, structure, pathways, fees, and entry requirements.
Eformation & Efinance is a company started by experienced chartered accountants and management professionals to provide advisory and financing services. The company has expertise in banking, industrial policy, venture capital, and project financing. Their team of professionals have experience working with large companies and organizations. Eformation & Efinance offers services like company registration, project reports, and arranging financing from banks and private investors for businesses in sectors like food, textiles, energy, agriculture, tourism, education, electronics and more. They have registered over 200 companies and financed over 40 projects across various industries in India.
The document discusses the concept of inductive reasoning and its application to innovation and business. It defines inductive reasoning as drawing conclusions or hypotheses based on observations, rather than deducing or testing hypotheses. The document argues that inductive reasoning is important for entrepreneurs and innovators to discover new opportunities by observing user behaviors and needs, rather than making assumptions. Examples are provided of companies like Procter & Gamble and Gillette gaining insights through observation that led to innovative new products and business models catering to unmet user needs.
The document discusses ethnographic observation and opportunity analysis. It provides guidance on conducting fieldwork to identify opportunities for innovation. Students are assigned to observe an existing service or product, document their observations, and suggest improvements based on their analysis. Examples of prior student projects are provided, and conducting observation without preconceptions is emphasized as key to finding unmet needs or opportunities.
The document outlines a unit plan for a middle school health and nutrition lesson. Students will study their own health, nutrition needs, and create menus for imaginary restaurants. They will analyze food advertising, write commercials, and role play running a restaurant. The unit incorporates standards in health, math, science, and technology and aims to develop student awareness of healthy eating through experiential learning activities.
To stay healthy and germ free, one should wash their hands after playing outside, coughing or sneezing on their hands, and before and after eating. Proper hand washing helps keep away germs so people can stay healthy.
This document provides information about Lincoln University's English language and university preparation programs. It describes the English Language Programme which includes General English, English for Academic Purposes (EAP), and other options like English for university exchanges. It also details the University Studies Programme which includes the Certificate in University Studies and Diploma in University Studies. These preparation programs help students improve their English and develop academic skills to prepare them for undergraduate degree study. The document provides information on program content, structure, pathways, fees, and entry requirements.
Eformation & Efinance is a company started by experienced chartered accountants and management professionals to provide advisory and financing services. The company has expertise in banking, industrial policy, venture capital, and project financing. Their team of professionals have experience working with large companies and organizations. Eformation & Efinance offers services like company registration, project reports, and arranging financing from banks and private investors for businesses in sectors like food, textiles, energy, agriculture, tourism, education, electronics and more. They have registered over 200 companies and financed over 40 projects across various industries in India.
The document discusses the concept of inductive reasoning and its application to innovation and business. It defines inductive reasoning as drawing conclusions or hypotheses based on observations, rather than deducing or testing hypotheses. The document argues that inductive reasoning is important for entrepreneurs and innovators to discover new opportunities by observing user behaviors and needs, rather than making assumptions. Examples are provided of companies like Procter & Gamble and Gillette gaining insights through observation that led to innovative new products and business models catering to unmet user needs.
The document discusses ethnographic observation and opportunity analysis. It provides guidance on conducting fieldwork to identify opportunities for innovation. Students are assigned to observe an existing service or product, document their observations, and suggest improvements based on their analysis. Examples of prior student projects are provided, and conducting observation without preconceptions is emphasized as key to finding unmet needs or opportunities.
This document discusses ethnographic opportunity analysis for innovation. It provides context on innovation from thinkers like Einstein and Schumpeter. Schumpeter defined 5 types of business innovation: new goods/services, new production methods, new markets, new resources, and new organization types. The document advocates an inductive, observational approach called "analytic induction" to identify opportunities by closely observing how people actually use existing products and services, rather than relying on hypotheses. Students are assigned to conduct field observations and provide a one page report suggesting an innovation identified from closely describing a routine task. The goal is to understand user experiences in depth to find ways to improve or add value.
This document discusses ethnographic opportunity analysis and user-driven innovation. It provides an overview of Joseph Schumpeter's five types of innovation in business and examples. It emphasizes that ethnographic research is an inductive process that involves observing existing behaviors and uses to find opportunities for improvement, rather than starting with hypotheses. The document outlines an assignment for students to conduct observations of routine tasks/products/services, analyze their notes to identify innovation opportunities, and submit a one page pitch suggesting a potential improvement.
This document discusses ethnographic opportunity analysis and user-driven innovation. It provides an overview of innovation types according to Schumpeter and examples. It advocates an inductive, ethnographic approach to understanding user needs and identifying opportunities to improve products and services. The document concludes by outlining an assignment for students to conduct field observations and analysis to identify opportunities for innovation.
Science is a relatively new field that is around 400 years old, with its application to human thought being around 150 years old. The empirical tradition in science began in the 4th century BC with philosophers like Aristotle. In the 15th century, the needs of European adventurers and technologies like the compass motivated the development of systematic observations. The printing press was also invented in this century, increasing literacy. Galileo in the 16th century developed the practice of experimentation and empirical procedures, while Descartes used rationalism. Isaac Newton combined empirical observation and deduction to develop the scientific method and hypothetico-deductive model in the 17th century, establishing modern science. John Locke suggested applying Newton's approach to studying human behavior, but
In brief, here are the Steps:
–1. Find a routine, taken-for-granted task/service/product,
–2. “Hang out” and “thickly describe” it in a notebook,
–3. In a one page pitch, suggest some sort of innovation that will add value.
Kluckhohn argued that culture allows humans to organize and understand the world in different ways. Each culture has its own "design for living" that seems normal within that culture but may seem strange or "queer" to outsiders. He gave the example of a white teacher who misunderstood why her Navajo students were upset about a dance, because she did not understand their cultural precepts and norms. Kluckhohn's concept of "queer customs" illustrates the principle of cultural relativism, which states that cultural practices cannot be fully understood outside of their cultural context.
The document discusses several key aspects of collecting and analyzing qualitative data through fieldnotes in ethnographic research. It addresses what fieldnotes are, how they are written in the field on a daily basis from an emic or actor-oriented perspective to develop an in-depth understanding of social phenomena. It also examines the paradox of participant observation, strategies for writing fieldnotes, their descriptive and analytic nature, and the power of inscribing observations.
Kluckhohn argued that culture allows humans to organize and understand the world in different ways. Each culture has its own "design for living" that seems normal within that culture but may seem strange or "queer" to outsiders. He gave the example of a white teacher who misunderstood why her Navajo students were upset about a dance, because she did not understand their cultural precepts and norms. Kluckhohn's concept of "queer customs" illustrates the principle of cultural relativism, which states that cultural practices cannot be fully understood outside of their cultural context.
The document discusses the concept of bricolage from several perspectives. Bricolage refers to do-it-yourself construction or creation from a diverse range of available materials. A bricoleur is someone who collects various materials and information and combines them in creative, resourceful ways not originally intended. In cultural studies, bricolage describes how people acquire objects from different social groups to form new cultural identities, such as how subcultures like punk imbued everyday items with subversive new meanings.
This document discusses the importance for researchers to be aware of their own theoretical biases when conducting ethnographic research on human subjects. Researchers are advised to identify whether their approach leans more towards looking at social structures or functions, or relying more on deduction or induction, so they can compensate for that bias. Ethnographic research involves real people, so researchers must be conscious of any biases in their approach to ensure ethical treatment of subjects.
1. The document discusses Clifford Geertz's concept of "thick description" in anthropological analysis of culture. Geertz borrowed the term from philosopher Gilbert Ryle to describe developing an interpretation of a culture by examining both its symbols and patterns of behavior.
2. Thick description aims to develop an understanding of "what the natives think they are up to" in their cultural practices. It involves interpreting cultural phenomena like a wink, which has a different meaning depending on the context.
3. Geertz argues that culture cannot be studied separately from behaviors, and that anthropologists must analyze both the whole cultural context and specific parts, like laws, to develop a thick description that can interpret cultural symbols and meanings.
This document provides guidance for an observation assignment. Students are asked to do a 15 minute observation using guides from Angrosino Chapter 4 or Bailey Chapter 6, exercise 2. They are reminded to take jotted notes rather than complete sentences to best remember the observation. The instructor will be out of town next week.
The document discusses the concept of bricolage, which refers to creative problem-solving using materials that are available rather than purpose-built. It is defined as do-it-yourself construction by trial and error rather than engineering. A bricoleur is someone who collects various resources and repurposes them in innovative ways. In cultural studies, bricolage describes how subcultures take objects from the dominant culture and imbue them with new, often subversive meanings to create alternative cultural identities.
This document provides instructions for a qualitative observation assignment worth 20% of students' grades. Students must conduct a 15-minute observation and take detailed notes, either by hand or typed. They should expand their notes to 3-5 pages double spaced. The observation can focus on examples of spaces, actors, activities, objects, acts, events, time, goals, or feelings. Students are reminded to take objective observational notes of what they see rather than inserting summaries or interpretations. The goal is to practice the technique of observation without focusing on what the observations may mean.
1) Anthropologist Richard Lee attempted to give an ox as a Christmas gift to the !Kung tribe in southwest Africa, but the tribe insulted and criticized the gift, saying the ox was too thin and old.
2) When the ox was slaughtered, Lee discovered it was actually fat, and the insults were a joke to humble and cool Lee's heart as part of their cultural traditions.
3) Lee learned the !Kung tradition was to belittle gifts to show humility and prevent pride, and that for the !Kung, no gifts are ever fully selfless or generous due to elements of calculation and personal gain.
This document provides an overview of economic systems and concepts discussed in Chapter 7 of an economics textbook. It defines key terms like economic behavior, productive resources, households, firms, and different systems of exchange including reciprocity, redistribution, and market exchange. It also summarizes the work of anthropologist Marcel Mauss on the social obligations created by gift-giving and discusses gift economies in small-scale societies.
The document discusses innovation in business and ethnographic opportunity analysis. It outlines Joseph Schumpeter's five types of innovation in business: introducing new goods or improving existing ones, new production methods, opening new markets, new sources of raw materials, and new types of business organization. It then discusses how to conduct ethnographic opportunity analysis through inductive observation of existing products/services to identify opportunities to improve the customer experience. Researchers are tasked with observing a routine task or service, thickly describing it, and suggesting an innovation that adds value in a one page pitch.
This document discusses teaching qualitative data analysis using software tools like Atlas.ti while maintaining an inductive approach. It warns that software can encourage "coding too soon" without fully understanding the data. The document proposes teaching annotation and iteration before coding to avoid deductive analysis. Students annotate each other's notes to facilitate rereading and discussion, mimicking rabbinic commentary practices. Software indexing is presented as a way to organize notes and enable iteration rather than prematurely developing codes and theories.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
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.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
This document discusses ethnographic opportunity analysis for innovation. It provides context on innovation from thinkers like Einstein and Schumpeter. Schumpeter defined 5 types of business innovation: new goods/services, new production methods, new markets, new resources, and new organization types. The document advocates an inductive, observational approach called "analytic induction" to identify opportunities by closely observing how people actually use existing products and services, rather than relying on hypotheses. Students are assigned to conduct field observations and provide a one page report suggesting an innovation identified from closely describing a routine task. The goal is to understand user experiences in depth to find ways to improve or add value.
This document discusses ethnographic opportunity analysis and user-driven innovation. It provides an overview of Joseph Schumpeter's five types of innovation in business and examples. It emphasizes that ethnographic research is an inductive process that involves observing existing behaviors and uses to find opportunities for improvement, rather than starting with hypotheses. The document outlines an assignment for students to conduct observations of routine tasks/products/services, analyze their notes to identify innovation opportunities, and submit a one page pitch suggesting a potential improvement.
This document discusses ethnographic opportunity analysis and user-driven innovation. It provides an overview of innovation types according to Schumpeter and examples. It advocates an inductive, ethnographic approach to understanding user needs and identifying opportunities to improve products and services. The document concludes by outlining an assignment for students to conduct field observations and analysis to identify opportunities for innovation.
Science is a relatively new field that is around 400 years old, with its application to human thought being around 150 years old. The empirical tradition in science began in the 4th century BC with philosophers like Aristotle. In the 15th century, the needs of European adventurers and technologies like the compass motivated the development of systematic observations. The printing press was also invented in this century, increasing literacy. Galileo in the 16th century developed the practice of experimentation and empirical procedures, while Descartes used rationalism. Isaac Newton combined empirical observation and deduction to develop the scientific method and hypothetico-deductive model in the 17th century, establishing modern science. John Locke suggested applying Newton's approach to studying human behavior, but
In brief, here are the Steps:
–1. Find a routine, taken-for-granted task/service/product,
–2. “Hang out” and “thickly describe” it in a notebook,
–3. In a one page pitch, suggest some sort of innovation that will add value.
Kluckhohn argued that culture allows humans to organize and understand the world in different ways. Each culture has its own "design for living" that seems normal within that culture but may seem strange or "queer" to outsiders. He gave the example of a white teacher who misunderstood why her Navajo students were upset about a dance, because she did not understand their cultural precepts and norms. Kluckhohn's concept of "queer customs" illustrates the principle of cultural relativism, which states that cultural practices cannot be fully understood outside of their cultural context.
The document discusses several key aspects of collecting and analyzing qualitative data through fieldnotes in ethnographic research. It addresses what fieldnotes are, how they are written in the field on a daily basis from an emic or actor-oriented perspective to develop an in-depth understanding of social phenomena. It also examines the paradox of participant observation, strategies for writing fieldnotes, their descriptive and analytic nature, and the power of inscribing observations.
Kluckhohn argued that culture allows humans to organize and understand the world in different ways. Each culture has its own "design for living" that seems normal within that culture but may seem strange or "queer" to outsiders. He gave the example of a white teacher who misunderstood why her Navajo students were upset about a dance, because she did not understand their cultural precepts and norms. Kluckhohn's concept of "queer customs" illustrates the principle of cultural relativism, which states that cultural practices cannot be fully understood outside of their cultural context.
The document discusses the concept of bricolage from several perspectives. Bricolage refers to do-it-yourself construction or creation from a diverse range of available materials. A bricoleur is someone who collects various materials and information and combines them in creative, resourceful ways not originally intended. In cultural studies, bricolage describes how people acquire objects from different social groups to form new cultural identities, such as how subcultures like punk imbued everyday items with subversive new meanings.
This document discusses the importance for researchers to be aware of their own theoretical biases when conducting ethnographic research on human subjects. Researchers are advised to identify whether their approach leans more towards looking at social structures or functions, or relying more on deduction or induction, so they can compensate for that bias. Ethnographic research involves real people, so researchers must be conscious of any biases in their approach to ensure ethical treatment of subjects.
1. The document discusses Clifford Geertz's concept of "thick description" in anthropological analysis of culture. Geertz borrowed the term from philosopher Gilbert Ryle to describe developing an interpretation of a culture by examining both its symbols and patterns of behavior.
2. Thick description aims to develop an understanding of "what the natives think they are up to" in their cultural practices. It involves interpreting cultural phenomena like a wink, which has a different meaning depending on the context.
3. Geertz argues that culture cannot be studied separately from behaviors, and that anthropologists must analyze both the whole cultural context and specific parts, like laws, to develop a thick description that can interpret cultural symbols and meanings.
This document provides guidance for an observation assignment. Students are asked to do a 15 minute observation using guides from Angrosino Chapter 4 or Bailey Chapter 6, exercise 2. They are reminded to take jotted notes rather than complete sentences to best remember the observation. The instructor will be out of town next week.
The document discusses the concept of bricolage, which refers to creative problem-solving using materials that are available rather than purpose-built. It is defined as do-it-yourself construction by trial and error rather than engineering. A bricoleur is someone who collects various resources and repurposes them in innovative ways. In cultural studies, bricolage describes how subcultures take objects from the dominant culture and imbue them with new, often subversive meanings to create alternative cultural identities.
This document provides instructions for a qualitative observation assignment worth 20% of students' grades. Students must conduct a 15-minute observation and take detailed notes, either by hand or typed. They should expand their notes to 3-5 pages double spaced. The observation can focus on examples of spaces, actors, activities, objects, acts, events, time, goals, or feelings. Students are reminded to take objective observational notes of what they see rather than inserting summaries or interpretations. The goal is to practice the technique of observation without focusing on what the observations may mean.
1) Anthropologist Richard Lee attempted to give an ox as a Christmas gift to the !Kung tribe in southwest Africa, but the tribe insulted and criticized the gift, saying the ox was too thin and old.
2) When the ox was slaughtered, Lee discovered it was actually fat, and the insults were a joke to humble and cool Lee's heart as part of their cultural traditions.
3) Lee learned the !Kung tradition was to belittle gifts to show humility and prevent pride, and that for the !Kung, no gifts are ever fully selfless or generous due to elements of calculation and personal gain.
This document provides an overview of economic systems and concepts discussed in Chapter 7 of an economics textbook. It defines key terms like economic behavior, productive resources, households, firms, and different systems of exchange including reciprocity, redistribution, and market exchange. It also summarizes the work of anthropologist Marcel Mauss on the social obligations created by gift-giving and discusses gift economies in small-scale societies.
The document discusses innovation in business and ethnographic opportunity analysis. It outlines Joseph Schumpeter's five types of innovation in business: introducing new goods or improving existing ones, new production methods, opening new markets, new sources of raw materials, and new types of business organization. It then discusses how to conduct ethnographic opportunity analysis through inductive observation of existing products/services to identify opportunities to improve the customer experience. Researchers are tasked with observing a routine task or service, thickly describing it, and suggesting an innovation that adds value in a one page pitch.
This document discusses teaching qualitative data analysis using software tools like Atlas.ti while maintaining an inductive approach. It warns that software can encourage "coding too soon" without fully understanding the data. The document proposes teaching annotation and iteration before coding to avoid deductive analysis. Students annotate each other's notes to facilitate rereading and discussion, mimicking rabbinic commentary practices. Software indexing is presented as a way to organize notes and enable iteration rather than prematurely developing codes and theories.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
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.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
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.
Paper Link: https://eprint.iacr.org/2024/257
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
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.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
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.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!