- Working with Spaniards / Doing business with Spaniards.
- Create an awareness of the cultural differences.
- Explain what you can expect when meeting and working with Spaniards.
- Reduce communication issues.
This document discusses using a multistrategy approach to learn control skills from human demonstrations. It proposes using goal-oriented models rather than simple situation-action models to increase robustness. Inductive logic programming is used to incorporate background knowledge and learn higher-level concepts. The approach separates learning goals from learning actions to achieve goals. This results in more transparent control rules compared to situation-action models. Future work includes automating the selection of goal and effect variables.
The document discusses machine learning techniques including using examples to teach a computer how to navigate a maze, filter spam emails, label images, synthesize textures and text, solve analogies, and model species habitats. It provides examples of machine learning applications like handwriting recognition, helicopter flight control, and the game 20 Questions. The document also outlines algorithms for spam filtering and text generation that learn from examples without explicit programming of rules.
Catégorisation automatisée de contenus documentaires : la ...butest
The document discusses generating structured taxonomies of large text repositories. It provides an overview of taxonomies, classification, and focused crawling. It then discusses challenges in generating taxonomies at scale. The rest of the document discusses taxonomy definitions and examples, classification methods like rule-based, linguistic, and machine learning approaches. It outlines GammaWare's workflow for requirements, designing taxonomies, seeding documents, training classifiers, and improving results.
This document summarizes a research paper that examines whether cooperation can be learned through reinforcement learning. It discusses reinforcement learning concepts and algorithms like Q-learning and temporal difference learning. It then describes four reinforcement learning tasks of increasing complexity that were used to study this question: 1) learning to play blackjack, 2) solving a maze, 3) traffic simulation, and 4) cellular simulation. The conclusion is that while reinforcement learning shows promise, it performs suboptimally when applied to multi-agent settings where cooperation is required. Eligibility traces and hyperparameter tuning are also discussed in the context of the maze solving task.
PASCAL PASCAL CHALLENGE ON INFORMATION EXTRACTIONbutest
The document summarizes the Pascal Challenge on Information Extraction and Machine Learning. The challenge involved several tasks related to extracting information from workshop and conference announcements using machine learning techniques. Participants used various algorithms like SVM, CRF, HMM and rule induction to complete the tasks. The top performing systems used different algorithms and the same algorithms did not always produce consistent results. Learning curve and active learning tasks provided insights into how performance varies with training data and selection methods.
This document discusses 11 applications of machine learning to music research, focusing on expressive music performance. It describes two approaches - learning at the note level and learning at the structure level. For the note level approach, it uses a system called IBL-SMART that learns rules to determine loudness and tempo for each note. For the structure level approach, it analyzes musical structures like phrases and learns prototypical expression shapes associated with them. It presents experiments applying these approaches to classical pieces, finding the structure level approach produced more musically convincing results.
Improving the Performance of Action Prediction through ...butest
The document describes an approach to improve action prediction in smart homes by identifying abstract tasks from low-level inhabitant actions. The approach models actions as states in a simple Markov model. Actions are clustered into groups representing tasks, and hidden Markov models are created using the clusters as hidden states. On simulated data with embedded patterns, the approach achieved good prediction accuracy, but had only marginal performance on real home data which contained more noise. The identification of tasks is meant to provide context that can help predict the next action and task more accurately than using low-level actions alone.
This document is a resume for Michael Amend that summarizes his objective, qualifications, skills, and professional experience. He has over 15 years of experience in graphic design, programming, and web development. His skills include expertise in programs like Photoshop, Dreamweaver, and Flash as well as languages like PHP, HTML, JavaScript, and CSS. He has worked as a creative artist, programmer, and web administrator for various companies and independently since 1990.
This document discusses using a multistrategy approach to learn control skills from human demonstrations. It proposes using goal-oriented models rather than simple situation-action models to increase robustness. Inductive logic programming is used to incorporate background knowledge and learn higher-level concepts. The approach separates learning goals from learning actions to achieve goals. This results in more transparent control rules compared to situation-action models. Future work includes automating the selection of goal and effect variables.
The document discusses machine learning techniques including using examples to teach a computer how to navigate a maze, filter spam emails, label images, synthesize textures and text, solve analogies, and model species habitats. It provides examples of machine learning applications like handwriting recognition, helicopter flight control, and the game 20 Questions. The document also outlines algorithms for spam filtering and text generation that learn from examples without explicit programming of rules.
Catégorisation automatisée de contenus documentaires : la ...butest
The document discusses generating structured taxonomies of large text repositories. It provides an overview of taxonomies, classification, and focused crawling. It then discusses challenges in generating taxonomies at scale. The rest of the document discusses taxonomy definitions and examples, classification methods like rule-based, linguistic, and machine learning approaches. It outlines GammaWare's workflow for requirements, designing taxonomies, seeding documents, training classifiers, and improving results.
This document summarizes a research paper that examines whether cooperation can be learned through reinforcement learning. It discusses reinforcement learning concepts and algorithms like Q-learning and temporal difference learning. It then describes four reinforcement learning tasks of increasing complexity that were used to study this question: 1) learning to play blackjack, 2) solving a maze, 3) traffic simulation, and 4) cellular simulation. The conclusion is that while reinforcement learning shows promise, it performs suboptimally when applied to multi-agent settings where cooperation is required. Eligibility traces and hyperparameter tuning are also discussed in the context of the maze solving task.
PASCAL PASCAL CHALLENGE ON INFORMATION EXTRACTIONbutest
The document summarizes the Pascal Challenge on Information Extraction and Machine Learning. The challenge involved several tasks related to extracting information from workshop and conference announcements using machine learning techniques. Participants used various algorithms like SVM, CRF, HMM and rule induction to complete the tasks. The top performing systems used different algorithms and the same algorithms did not always produce consistent results. Learning curve and active learning tasks provided insights into how performance varies with training data and selection methods.
This document discusses 11 applications of machine learning to music research, focusing on expressive music performance. It describes two approaches - learning at the note level and learning at the structure level. For the note level approach, it uses a system called IBL-SMART that learns rules to determine loudness and tempo for each note. For the structure level approach, it analyzes musical structures like phrases and learns prototypical expression shapes associated with them. It presents experiments applying these approaches to classical pieces, finding the structure level approach produced more musically convincing results.
Improving the Performance of Action Prediction through ...butest
The document describes an approach to improve action prediction in smart homes by identifying abstract tasks from low-level inhabitant actions. The approach models actions as states in a simple Markov model. Actions are clustered into groups representing tasks, and hidden Markov models are created using the clusters as hidden states. On simulated data with embedded patterns, the approach achieved good prediction accuracy, but had only marginal performance on real home data which contained more noise. The identification of tasks is meant to provide context that can help predict the next action and task more accurately than using low-level actions alone.
This document is a resume for Michael Amend that summarizes his objective, qualifications, skills, and professional experience. He has over 15 years of experience in graphic design, programming, and web development. His skills include expertise in programs like Photoshop, Dreamweaver, and Flash as well as languages like PHP, HTML, JavaScript, and CSS. He has worked as a creative artist, programmer, and web administrator for various companies and independently since 1990.
This document describes a system for named entity recognition in South and Southeast Asian languages that uses conditional random fields for machine learning followed by rule-based post-processing. The system was tested on Bengali, Hindi, Oriya, Telugu, and Urdu. It uses windows of words, prefixes, suffixes, and other features as input to the CRF model. Post-processing includes assigning the second best tag if confidence is high and addressing nested entities. Evaluation shows F-measures from 33.94% to 50.06% depending on the language and entity type. The system performs well on closed classes but struggles with long entities and unknown words.
This document discusses machine learning concepts including what learning is, different types of learning tasks like classification and problem solving/planning, measuring performance, reasons to study machine learning, related disciplines, defining learning tasks, designing learning systems, sample learning problems, and lessons learned about learning. It uses the example of learning to play checkers to illustrate many of these concepts such as representing the target function, obtaining training data, choosing a learning algorithm, and discussing specific algorithms like least mean squares regression.
Applying Support Vector Learning to Stem Cells Classificationbutest
The document discusses applying machine learning algorithms like perceptrons and support vector machines to classify stem cell images. It describes imaging stem cell nuclei, the problem of stem cell classification, and online machine learning methods. The perceptron achieved 70.38% accuracy on test data while support vector machines with radial basis function kernels optimized by CMA-ES achieved 97.02% accuracy, showing machine learning is feasible for stem cell image classification.
Project MLExAI: Machine Learning Experiences in AIbutest
The project aims to develop a framework for teaching core AI topics with a focus on machine learning. It involves hands-on term projects where students design and implement learning systems for applications like web document classification, user profiling, and character recognition. Preliminary results found students had positive experiences applying machine learning concepts to real-world problems.
This document provides information about a proposed workshop on knowledge acquisition from distributed, autonomous, and semantically heterogeneous data sources to be held at the 2005 IEEE International Conference on Data Mining. The workshop aims to bring together researchers from areas like machine learning, data mining, knowledge representation, databases, and selected application domains to address challenges in performing knowledge discovery from multiple distributed data sources that may have semantic differences. Topics of interest include learning from distributed data, making data sources self-describing through ontologies, learning ontologies and mappings between schemas, and handling semantic heterogeneity. The workshop will include invited talks and presentations of contributed papers, and targets researchers, students, and practitioners interested in knowledge acquisition from distributed data.
Text Mining: Beyond Extraction Towards Exploitationbutest
This document proposes a project called TIE (Text Information Exploitation) to go beyond information extraction from text and towards exploiting text to deduce new knowledge. The objectives are to aggregate extracted information to find causal links and other insights not explicitly stated in source texts. The methodology involves using domain ontologies to integrate information extraction techniques from real-world texts. The goal is to semi-automate knowledge discovery for applications like analyzing business reports. The project brings together experts in knowledge acquisition, computational linguistics, machine learning and information retrieval to advance the state of text mining.
This document provides an overview of a tutorial on machine learning and natural language processing. It discusses the state of the art in NLP, how NLP has integrated machine learning techniques, and how ML has been driven by problems in NLP. It also covers challenges with language data like the "curse of modularity" where errors cascade between modules, issues with large corpora and rare words, and the importance of Zipf's law and Dirichlet distributions in language data. The tutorial aims to discuss ML approaches to NLP problems and issues that arise.
This lecture covers machine learning concepts including definitions, applications, learning agents, different types of learning (supervised, unsupervised, reinforcement), terms like training set and test set, decision tree learning using information gain to select attributes, and Bayesian learning including Bayes' theorem and naive Bayesian classification of documents. Key applications discussed include spam filtering, autonomous vehicles, medical data mining, and predicting patient risk.
This document outlines a machine learning project to recognize handwritten characters using Bayesian linear regression. The goal is to develop models that can map image features to class membership values. Students are instructed to:
1. Define target outputs for training data using k-nearest neighbors.
2. Build Bayesian regression models to map inputs to the target outputs and estimate hyperparameters.
3. Evaluate models on a test set both qualitatively by examining outputs and quantitatively by comparing character/non-character histograms.
4. Write a 5-10 page report summarizing methodology, results, observations and relating findings back to concepts from the textbook.
Euro przestaje smakować polskim przedsiębiorcomGrant Thornton
Jeszcze kilka lat temu polski biznes w temacie przyjęcia
euro był niemal jednomyślny – mówił unijnej walucie
duże „tak”. Według badań firmy audytorsko-doradczej
Grant Thornton International z 2010 r., aż 86 proc.
przedsiębiorców popierało wówczas zamianę złotego
na euro. Właściwie żadna inna grupa społeczna nie
była tak mocnym orędownikiem walutowej integracji.
The document describes DiscoverNet, an adaptive simulation-based learning environment for designing neural networks. DiscoverNet allows users to build neural network simulators by manipulating neural objects. It includes a consultant module to provide educational guidance during the design process. The consultant reproduces the user's initial neural network design and identifies any issues to help the user correct misconceptions. Experimental results show that DiscoverNet supports learning and helps users develop an understanding of neural network mechanisms.
Ara V. Nefian is seeking a challenging research position involving computer vision, machine learning, robotics, and multimedia processing. She has over 10 years of research experience and 40 publications. Her background includes a PhD in electrical engineering focused on face recognition using HMMs. She has led numerous projects at companies like CMU, Intel, and Nokia involving 3D reconstruction, computer vision, Bayesian networks, and multimedia processing. She has also filed 20 patents related to these areas.
This document details research applying genetic programming to optimize word aligners for machine translation. Genetic programming mimics biological evolution by applying selection, mutation, and crossover to programs to find better solutions. The researcher aims to evolve word alignment programs but has so far been unsuccessful due to issues with mutations generating invalid code. Implementation decisions around representation, selection, crossover, and halting criteria are discussed. Results show minor improvements but generations prove ineffective as crossover alone is not enough for variety and mutation is not working properly.
The document summarizes notes from a meeting about a grant project to build an intelligent web service for collecting and classifying online educational resources. The project will use a combination of manual and automatic methods, including machine learning classifiers and rule-based classifiers, to identify different types of syllabus materials on websites. It will provide users with sample course sites, overviews of course topic relationships and schedules, and the ability to populate or search for materials based on topics or templates. The goal is to leverage both human and machine intelligence to maximize the usefulness and accuracy of the system.
Working with Spaniards / Doing business with Spaniards.
- Create an awareness of the cultural differences.
- Explain what you can expect when meeting and working with Spaniards.
- Reduce communication issues.
- Working with Ukrainians / Doing business with Ukrainians.
- Create an awareness of the cultural differences.
- Explain what you can expect when meeting and working with Ukrainians.
- Reduce communication issues.
The document outlines the person's goals for various areas of their life, including their employment, health, education, family, housing, transportation, community involvement, and personal finances. Some of their key goals are to become a commercial manager, maintain good health through nutrition and exercise, get married at age 27 and have two children, own an apartment, and buy an Audi car. They also want to start a foundation to help orphaned children and dogs.
Revolutionary Consumer Products - Consumer Products: Company presentation by Nadine Hellmann, CEO & Founder of Little Tummy, at the NOAH Conference London 2019, 30-31 October, Old Billingsgate.
This curriculum vitae is for Pamela Nieves Córdoba Aguilar, who has over 15 years of experience in hospitality and restaurant roles. She currently works as a cocktail bartender at Sojo Ribera in Córdoba, Spain, and has previously held positions such as hospitality manager, waitress, bartender, cook, and owner of her own café. Pamela has qualifications in restaurant management, food hygiene, and coffee techniques. She is proficient in English, French, and her native Spanish.
This document describes a system for named entity recognition in South and Southeast Asian languages that uses conditional random fields for machine learning followed by rule-based post-processing. The system was tested on Bengali, Hindi, Oriya, Telugu, and Urdu. It uses windows of words, prefixes, suffixes, and other features as input to the CRF model. Post-processing includes assigning the second best tag if confidence is high and addressing nested entities. Evaluation shows F-measures from 33.94% to 50.06% depending on the language and entity type. The system performs well on closed classes but struggles with long entities and unknown words.
This document discusses machine learning concepts including what learning is, different types of learning tasks like classification and problem solving/planning, measuring performance, reasons to study machine learning, related disciplines, defining learning tasks, designing learning systems, sample learning problems, and lessons learned about learning. It uses the example of learning to play checkers to illustrate many of these concepts such as representing the target function, obtaining training data, choosing a learning algorithm, and discussing specific algorithms like least mean squares regression.
Applying Support Vector Learning to Stem Cells Classificationbutest
The document discusses applying machine learning algorithms like perceptrons and support vector machines to classify stem cell images. It describes imaging stem cell nuclei, the problem of stem cell classification, and online machine learning methods. The perceptron achieved 70.38% accuracy on test data while support vector machines with radial basis function kernels optimized by CMA-ES achieved 97.02% accuracy, showing machine learning is feasible for stem cell image classification.
Project MLExAI: Machine Learning Experiences in AIbutest
The project aims to develop a framework for teaching core AI topics with a focus on machine learning. It involves hands-on term projects where students design and implement learning systems for applications like web document classification, user profiling, and character recognition. Preliminary results found students had positive experiences applying machine learning concepts to real-world problems.
This document provides information about a proposed workshop on knowledge acquisition from distributed, autonomous, and semantically heterogeneous data sources to be held at the 2005 IEEE International Conference on Data Mining. The workshop aims to bring together researchers from areas like machine learning, data mining, knowledge representation, databases, and selected application domains to address challenges in performing knowledge discovery from multiple distributed data sources that may have semantic differences. Topics of interest include learning from distributed data, making data sources self-describing through ontologies, learning ontologies and mappings between schemas, and handling semantic heterogeneity. The workshop will include invited talks and presentations of contributed papers, and targets researchers, students, and practitioners interested in knowledge acquisition from distributed data.
Text Mining: Beyond Extraction Towards Exploitationbutest
This document proposes a project called TIE (Text Information Exploitation) to go beyond information extraction from text and towards exploiting text to deduce new knowledge. The objectives are to aggregate extracted information to find causal links and other insights not explicitly stated in source texts. The methodology involves using domain ontologies to integrate information extraction techniques from real-world texts. The goal is to semi-automate knowledge discovery for applications like analyzing business reports. The project brings together experts in knowledge acquisition, computational linguistics, machine learning and information retrieval to advance the state of text mining.
This document provides an overview of a tutorial on machine learning and natural language processing. It discusses the state of the art in NLP, how NLP has integrated machine learning techniques, and how ML has been driven by problems in NLP. It also covers challenges with language data like the "curse of modularity" where errors cascade between modules, issues with large corpora and rare words, and the importance of Zipf's law and Dirichlet distributions in language data. The tutorial aims to discuss ML approaches to NLP problems and issues that arise.
This lecture covers machine learning concepts including definitions, applications, learning agents, different types of learning (supervised, unsupervised, reinforcement), terms like training set and test set, decision tree learning using information gain to select attributes, and Bayesian learning including Bayes' theorem and naive Bayesian classification of documents. Key applications discussed include spam filtering, autonomous vehicles, medical data mining, and predicting patient risk.
This document outlines a machine learning project to recognize handwritten characters using Bayesian linear regression. The goal is to develop models that can map image features to class membership values. Students are instructed to:
1. Define target outputs for training data using k-nearest neighbors.
2. Build Bayesian regression models to map inputs to the target outputs and estimate hyperparameters.
3. Evaluate models on a test set both qualitatively by examining outputs and quantitatively by comparing character/non-character histograms.
4. Write a 5-10 page report summarizing methodology, results, observations and relating findings back to concepts from the textbook.
Euro przestaje smakować polskim przedsiębiorcomGrant Thornton
Jeszcze kilka lat temu polski biznes w temacie przyjęcia
euro był niemal jednomyślny – mówił unijnej walucie
duże „tak”. Według badań firmy audytorsko-doradczej
Grant Thornton International z 2010 r., aż 86 proc.
przedsiębiorców popierało wówczas zamianę złotego
na euro. Właściwie żadna inna grupa społeczna nie
była tak mocnym orędownikiem walutowej integracji.
The document describes DiscoverNet, an adaptive simulation-based learning environment for designing neural networks. DiscoverNet allows users to build neural network simulators by manipulating neural objects. It includes a consultant module to provide educational guidance during the design process. The consultant reproduces the user's initial neural network design and identifies any issues to help the user correct misconceptions. Experimental results show that DiscoverNet supports learning and helps users develop an understanding of neural network mechanisms.
Ara V. Nefian is seeking a challenging research position involving computer vision, machine learning, robotics, and multimedia processing. She has over 10 years of research experience and 40 publications. Her background includes a PhD in electrical engineering focused on face recognition using HMMs. She has led numerous projects at companies like CMU, Intel, and Nokia involving 3D reconstruction, computer vision, Bayesian networks, and multimedia processing. She has also filed 20 patents related to these areas.
This document details research applying genetic programming to optimize word aligners for machine translation. Genetic programming mimics biological evolution by applying selection, mutation, and crossover to programs to find better solutions. The researcher aims to evolve word alignment programs but has so far been unsuccessful due to issues with mutations generating invalid code. Implementation decisions around representation, selection, crossover, and halting criteria are discussed. Results show minor improvements but generations prove ineffective as crossover alone is not enough for variety and mutation is not working properly.
The document summarizes notes from a meeting about a grant project to build an intelligent web service for collecting and classifying online educational resources. The project will use a combination of manual and automatic methods, including machine learning classifiers and rule-based classifiers, to identify different types of syllabus materials on websites. It will provide users with sample course sites, overviews of course topic relationships and schedules, and the ability to populate or search for materials based on topics or templates. The goal is to leverage both human and machine intelligence to maximize the usefulness and accuracy of the system.
Working with Spaniards / Doing business with Spaniards.
- Create an awareness of the cultural differences.
- Explain what you can expect when meeting and working with Spaniards.
- Reduce communication issues.
- Working with Ukrainians / Doing business with Ukrainians.
- Create an awareness of the cultural differences.
- Explain what you can expect when meeting and working with Ukrainians.
- Reduce communication issues.
The document outlines the person's goals for various areas of their life, including their employment, health, education, family, housing, transportation, community involvement, and personal finances. Some of their key goals are to become a commercial manager, maintain good health through nutrition and exercise, get married at age 27 and have two children, own an apartment, and buy an Audi car. They also want to start a foundation to help orphaned children and dogs.
Revolutionary Consumer Products - Consumer Products: Company presentation by Nadine Hellmann, CEO & Founder of Little Tummy, at the NOAH Conference London 2019, 30-31 October, Old Billingsgate.
This curriculum vitae is for Pamela Nieves Córdoba Aguilar, who has over 15 years of experience in hospitality and restaurant roles. She currently works as a cocktail bartender at Sojo Ribera in Córdoba, Spain, and has previously held positions such as hospitality manager, waitress, bartender, cook, and owner of her own café. Pamela has qualifications in restaurant management, food hygiene, and coffee techniques. She is proficient in English, French, and her native Spanish.
The document discusses the restaurant industry and the importance of providing good service. It notes that the restaurant industry generates $3 trillion annually and is one of the largest employers in the US. It then discusses different customer groups like baby boomers, Gen X, and Gen Y and their dining preferences. The document emphasizes that service is a product that restaurants provide and that meeting customer expectations is key to business success. It promotes the FDRP/FrontSUMMIT formula for training staff and providing certified credentials to improve service quality and customer satisfaction.
1. The document discusses the career and education background of Mike Sewell, including his various roles in accounting and finance over 22 years at Westpac and other companies, as well as the qualifications and skills he obtained.
2. Sewell emphasizes the importance of accounting in understanding business performance and cash flows. He also stresses developing goals and a professional network early in one's career.
3. The document provides advice for a successful career trajectory, including getting professional qualifications, gaining international experience, and contributing to the profession through associations.
Brand Matrix presentation by Marketing Matters for Style Collections (with pe...Marketing Matters
This is an example of a Brand Matrix developed by Jennifer Smith at Marketing Matters. A Brand Matrix is a summary of the most important information about a brand that is then used to communicate with other functions within the company as well as outside marketing service providers like advertising agencies etc. It should be used as part of the induction presentations for new hires, investors etc.
How a Small Business Start up a Philippines CompanySean Yeh
AIA, a Taiwanese internet advertising company, is considering expanding globally to access lower cost and English-speaking workers. They are analyzing whether to enter the Philippines market. The Philippines offers several advantages, including a growing economy, low wages, quality English-speaking workers in IT and business outsourcing. To enter the market, AIA would first outsource work to local firms, then potentially establish a corporation in the Philippines. They would provide training to help Filipino workers adapt to company culture and language needs.
This marketing strategy document proposes using a woman named Joy as the face of a business in Thailand that aims to improve customers' English skills. It suggests using Joy's English fluency and cultural knowledge to engage with Thai adults looking to improve their English for business, as well as foreigners living or visiting Thailand. The strategy further involves using English as a tool in newspapers, WiFi conversations, menu explanations, and business forums to attract customers. It also proposes replicating office workers' breakfast rituals of coffee and newspapers from various global cities as a Sunday brunch service.
#FIRMDAY 15th October 2015 Manchester - Culture in RecruitmentEmma Mirrington
The document discusses culture in recruitment processes. It notes that culture is a key driver for candidates, along with bidirectional value propositions and money. Culture can be communicated through employees, alumni, social media, CSR activities and business interactions. In recruitment, culture is promoted through referral programs, direct recruitment, advertisements, social media and cultural ambassadors. Culture is assessed in interviews through questions, social elements, psychometrics and feedback. Culture also plays a role in the offer process by addressing a candidate's cultural wants and fitting relevant messages to their drivers learned in interviews. Challenges include defining an organization's culture clearly and living up to cultural messages throughout recruitment.
#FIRMDAY 15th October 2015 Manchester - Culture in RecruitmentEmma Mirrington
The document discusses culture in recruitment processes. It notes that culture is a key driver for candidates, along with bidirectional value propositions and money. Culture should be communicated through employees, alumni, social media, CSR activities and other business interactions. In recruitment, culture can be promoted through referral programs, direct recruitment, advertisements, social media and cultural ambassadors. Interviews and assessments should evaluate cultural fit. The offer process should highlight how the organization's culture aligns with candidates' wants around management style, decision making and feedback culture. Challenges include clearly defining culture and living up to it in recruitment.
Small businesses are a major driver of the Canadian economy, generating between 60-75% of new jobs. They are defined as having less than 50 employees and less than $2 million in annual sales. Some key trends for small businesses in Canada include increased immigration, which has led to new opportunities catering to different cultural tastes, as well as an aging population fueling demand for businesses catering to seniors. Government programs provide various supports for small businesses in areas like market research, exporting, financing, and technology development.
The Creative Collective Director Yvette Adams shows you how to achieve the all important work/life balance by sharing her own personal and career experiences.
This document outlines various etiquette seminars focused on social and business etiquette. It discusses seminars that cover European and international social etiquette including topics like entertaining, table manners, posture, and dress codes. For business etiquette, seminars are described that teach introductions, business card protocol, gestures, time management, meeting protocol, appropriate attire, business dining etiquette, and digital etiquette. Additional seminars focus on distinguishing yourself professionally, networking skills, executive dining skills like table manners and toasting, and winning presentation skills. The document provides an overview of etiquette training seminars for social and professional situations.
Jannine Brett is a catering specialist seeking a position to manage an efficient catering team. She has over 20 years of experience in customer service, sales, and catering roles. Her objective is to provide a high standard of living for her family. She has a senior certificate from Steelcrest High School and extensive training in areas like management, sales, catering, and hygiene/safety. Her professional experience includes roles at Unilever Food Solutions, Smollan Holdings, Deputy Agencies, a guest house, and the South African Navy where she gained catering and customer service skills.
The document provides information on key aspects of the New Zealand workplace culture, including values, biculturalism, multiculturalism, legal environment, and professionalism. It discusses characteristics of Kiwi culture such as pragmatism, humility, fairness, and informality. The implications of these cultural traits for the workplace are outlined, such as communicating in a down-to-earth manner, restraining emotions, and ensuring fairness. The document also covers the implications of biculturalism between Maori and Pakeha, multiculturalism, and the legal environment in New Zealand workplaces.
A presentation on mastering key management concepts across projects, products, programs, and portfolios. Whether you're an aspiring manager or looking to enhance your skills, this session will provide you with the knowledge and tools to succeed in various management roles. Learn about the distinct lifecycles, methodologies, and essential skillsets needed to thrive in today's dynamic business environment.
Public Speaking Tips to Help You Be A Strong Leader.pdfPinta Partners
In the realm of effective leadership, a multitude of skills come into play, but one stands out as both crucial and challenging: public speaking.
Public speaking transcends mere eloquence; it serves as the medium through which leaders articulate their vision, inspire action, and foster engagement. For leaders, refining public speaking skills is essential, elevating their ability to influence, persuade, and lead with resolute conviction. Here are some key tips to consider: https://joellandau.com/the-public-speaking-tips-to-help-you-be-a-stronger-leader/
Ganpati Kumar Choudhary Indian Ethos PPT.pptx, The Dilemma of Green Energy Corporation
Green Energy Corporation, a leading renewable energy company, faces a dilemma: balancing profitability and sustainability. Pressure to scale rapidly has led to ethical concerns, as the company's commitment to sustainable practices is tested by the need to satisfy shareholders and maintain a competitive edge.
Originally presented at XP2024 Bolzano
While agile has entered the post-mainstream age, possibly losing its mojo along the way, the rise of remote working is dealing a more severe blow than its industrialization.
In this talk we'll have a look to the cumulative effect of the constraints of a remote working environment and of the common countermeasures.
Employment PracticesRegulation and Multinational CorporationsRoopaTemkar
Employment PracticesRegulation and Multinational Corporations
Strategic decision making within MNCs constrained or determined by the implementation of laws and codes of practice and by pressure from political actors. Managers in MNCs have to make choices that are shaped by gvmt. intervention and the local economy.
Sethurathnam Ravi: A Legacy in Finance and LeadershipAnjana Josie
Sethurathnam Ravi, also known as S Ravi, is a distinguished Chartered Accountant and former Chairman of the Bombay Stock Exchange (BSE). As the Founder and Managing Partner of Ravi Rajan & Co. LLP, he has made significant contributions to the fields of finance, banking, and corporate governance. His extensive career includes directorships in over 45 major organizations, including LIC, BHEL, and ONGC. With a passion for financial consulting and social issues, S Ravi continues to influence the industry and inspire future leaders.
Specific ServPoints should be tailored for restaurants in all food service segments. Your ServPoints should be the centerpiece of brand delivery training (guest service) and align with your brand position and marketing initiatives, especially in high-labor-cost conditions.
408-784-7371
Foodservice Consulting + Design
Comparing Stability and Sustainability in Agile SystemsRob Healy
Copy of the presentation given at XP2024 based on a research paper.
In this paper we explain wat overwork is and the physical and mental health risks associated with it.
We then explore how overwork relates to system stability and inventory.
Finally there is a call to action for Team Leads / Scrum Masters / Managers to measure and monitor excess work for individual teams.
Impact of Effective Performance Appraisal Systems on Employee Motivation and ...Dr. Nazrul Islam
Healthy economic development requires properly managing the banking industry of any
country. Along with state-owned banks, private banks play a critical role in the country's economy.
Managers in all types of banks now confront the same challenge: how to get the utmost output from
their employees. Therefore, Performance appraisal appears to be inevitable since it set the
standard for comparing actual performance to established objectives and recommending practical
solutions that help the organization achieve sustainable growth. Therefore, the purpose of this
research is to determine the effect of performance appraisal on employee motivation and retention.
Credit Management training seminar power point presentation
MEET SPAIN
1. Tahiri.no
AGENDA: Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
Working with Spaniards
Doing business with SpaniardsMeet Spain
- Patrick Tahiri -
2. Goals
Create an awareness of the cultural differences
Explain what you can expect when meeting and
working with Spaniards
Reduce communication issues
Tahiri.no
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
3. Key facts
Capital Madrid
Geography
Western Europe
Border with France, Portugal and
Morocco
Politic
Parliamentary constitutional monarchy
- EU & NATO Member -
Climate
Mainly Mediterranean climate
(semi-arid climate, oceanic climate)
Population 46 million
Language
Mainly Spanish (Castellano),
Catalan, Galician, Basque
Religion Mainly Catholic
Currency Euro €
Time CET – Madrid/Malaga, Oslo, Paris
Spain – at a glance
Tahiri.no
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
4. Pride & Honor
Mañana
Religion
Friends & Acquaintances
Living for the moment
Manners
Egotism
Family
Tolerance
Tahiri.no
Values and Attitudes
System
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
5. Tahiri.no
Family– Pride & Honor – Manners – Mañana – Friends & Acquaintances
Tolerance – Egotism – System – Living for the moment
Values and Attitudes
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
> Contact me for the full version <
6. Tahiri.no
Cost & Standards of Living
Daily Routine Schools and Education
Struggling middle-class
Relatively low performance of health care
and pension systems
Women – Child care – Kitchen work – household
Many young people continue to live with their
parents after graduation
Office hours: 09:00 – 19:00
Lunch: 13:00 ~ 14:00
Preferably hot food
Inexpensive compared to USA/Europe
People cook from scratch
Number of people living below the poverty line has risen up
Low salaries
Current inflation ~ 7%
Food shopping – Budget
Free state education
Strong and high-level education system
Madrid/Barcelona expensive
Very high literacy rate ~ 99.7%
Unemployment rate ~ 23.6%
Daily Life
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
No siesta!
Diner ~ 21:00
Education is very important
Many students has to work as they study
Eating out
7. Business Style
Appointments
Flexibility
Meetings
Presentations
Women in Business
Communication Style
Business Relationship
Tahiri.no
Business Briefing
Business Entertaining
Planning & Control
Company Behavior
Gift Giving
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
8. Tahiri.no
Business Style – Business Relationship – Women in Business – Company Behavior – Presentations – Flexibility
Appointments – Meetings – Communication Style – Planning & Control – Business Entertaining – Gift Giving
Business Briefing
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
> Contact me for the full version <
9. Tahiri.no
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Gracias !
Questions ?
Food
Social
Proud
Goals – Key Facts – Values & Attitudes – Daily Life – Business Briefing – Questions
Passionate
Spontaneous
Generous
Energy
Relaxed
Friendliness
Enjoy life
FamilyHospitality