O documento discute as ameaças de disrupção enfrentadas pelas mídias tradicionais e estratégias para modernização. Em resumo, (1) as mídias tradicionais enfrentam desafios devido à mudança no consumo de conteúdo para plataformas digitais e sociais, (2) é importante se adaptar às novas formas de distribuição de conteúdo e publicidade para alcançar audiências, (3) adotar uma "cultura startup" com inovação e experimentação pode ajudar as mídias tradic
Networks All Around Us: Extracting networks from your problem domainRussell Jurney
Network analytics are being increasingly utilized to create machine intelligence that automates the world around us. But what is a network, and how do you analyze them? More directly: how do I find and analyze networks in my dataset? This talk will go over a number of examples of practical network analytics to give viewers a playbook for doing applied social network analysis and network analytics.
Networks All Around Us: Extracting networks from your problem domainRussell Jurney
Network analytics are being increasingly utilized to create machine intelligence that automates the world around us. But what is a network, and how do you analyze them? More directly: how do I find and analyze networks in my dataset? This talk will go over a number of examples of practical network analytics to give viewers a playbook for doing applied social network analysis and network analytics.
Social Network Analysis in Your Problem DomainRussell Jurney
This document discusses various types of networks that can be analyzed using social network analysis techniques. It provides examples of networks including founder networks, website behavior networks, online social networks, and email inbox networks. It also summarizes tools and methods for social network analysis including centrality measures, clustering, block models, cores, and dispersion analysis.
El documento define el medio ambiente como todo lo que rodea a un ser vivo, incluyendo seres vivos, objetos naturales, agua, suelo, aire y sus interacciones, así como aspectos culturales. Se celebra el Día Mundial del Medio Ambiente el 5 de junio. La contaminación ambiental se produce cuando se introducen sustancias en el medio ambiente que lo hacen inseguro o no apto para su uso, y generalmente es causada por la actividad humana.
Connect to Success with LinkedIn - The Art of Meaningful ConversationWright
The document discusses building a strong professional network on LinkedIn and having meaningful conversations online. It provides tips for completing your LinkedIn profile to attract connections, focusing on how you can help others and what you are looking for professionally. It recommends connecting with others on LinkedIn daily, participating in groups, and taking conversations offline for deeper engagement that can lead to professional opportunities and results. The key is providing value to others through thoughtful interactions.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
O documento discute as ameaças de disrupção enfrentadas pelas mídias tradicionais e estratégias para modernização. Em resumo, (1) as mídias tradicionais enfrentam desafios devido à mudança no consumo de conteúdo para plataformas digitais e sociais, (2) é importante se adaptar às novas formas de distribuição de conteúdo e publicidade para alcançar audiências, (3) adotar uma "cultura startup" com inovação e experimentação pode ajudar as mídias tradic
Networks All Around Us: Extracting networks from your problem domainRussell Jurney
Network analytics are being increasingly utilized to create machine intelligence that automates the world around us. But what is a network, and how do you analyze them? More directly: how do I find and analyze networks in my dataset? This talk will go over a number of examples of practical network analytics to give viewers a playbook for doing applied social network analysis and network analytics.
Networks All Around Us: Extracting networks from your problem domainRussell Jurney
Network analytics are being increasingly utilized to create machine intelligence that automates the world around us. But what is a network, and how do you analyze them? More directly: how do I find and analyze networks in my dataset? This talk will go over a number of examples of practical network analytics to give viewers a playbook for doing applied social network analysis and network analytics.
Social Network Analysis in Your Problem DomainRussell Jurney
This document discusses various types of networks that can be analyzed using social network analysis techniques. It provides examples of networks including founder networks, website behavior networks, online social networks, and email inbox networks. It also summarizes tools and methods for social network analysis including centrality measures, clustering, block models, cores, and dispersion analysis.
El documento define el medio ambiente como todo lo que rodea a un ser vivo, incluyendo seres vivos, objetos naturales, agua, suelo, aire y sus interacciones, así como aspectos culturales. Se celebra el Día Mundial del Medio Ambiente el 5 de junio. La contaminación ambiental se produce cuando se introducen sustancias en el medio ambiente que lo hacen inseguro o no apto para su uso, y generalmente es causada por la actividad humana.
Connect to Success with LinkedIn - The Art of Meaningful ConversationWright
The document discusses building a strong professional network on LinkedIn and having meaningful conversations online. It provides tips for completing your LinkedIn profile to attract connections, focusing on how you can help others and what you are looking for professionally. It recommends connecting with others on LinkedIn daily, participating in groups, and taking conversations offline for deeper engagement that can lead to professional opportunities and results. The key is providing value to others through thoughtful interactions.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
The document provides a link to practice exams for the BIS220 final exam. Students can access prior exams through the link http://www.coursesexams.com/bis220-final-exam-1/ to help prepare for and review important concepts that may be covered on the final exam. The link directs to sample exam questions, answers, and explanations to help students study efficiently for the culminating assessment in the BIS220 course.
WB GENDER DIMENSIONS OF EXTRACTIVE INDUSTRIES august 2009John Strongman
This document discusses the importance of understanding how men and women are differently impacted by extractive industries (EI). It notes that ensuring women have equal access to EI benefits is important from a human rights perspective. It also discusses how investing in women is key for community development, as women often play important roles in families and communities by ensuring health, nutrition, education, and security. When women have more access to resources like education, employment, income, and financial opportunities, studies show positive impacts such as reduced infant mortality, increased child survival rates, and greater investments in family health and education. Therefore, addressing gender dimensions of EI can help maximize development benefits at both the individual and community levels.
El documento describe la evolución de la informática y su aplicación en la educación. Explica cómo la invención del transistor llevó a la miniaturización de los ordenadores y al desarrollo de las computadoras personales. También describe las ventajas del uso de la tecnología en la enseñanza, como el acceso a recursos educativos y la personalización del aprendizaje, así como algunos desafíos como la distracción y dependencia de los estudiantes.
This document provides a summary of the industrial training completed by Lovit Sawhney in July 2015. It includes an overview of key railway electrical terms and a description of cantilever assembly in Delhi Metro stations. It also summarizes tenders reviewed, office structure, and ongoing projects under RVNL including electrification and metro lines. Key sections reviewed are summarized along with field trips to the traction power control office, a traction substation, and power system installations in Delhi.
This project involves designing and developing a wireless, microcontroller-based humanoid arm with a five-fingered hand. Solidworks was used to design the mechanical components of the hand to resemble a human hand. Analysis was performed to ensure design specifications such as weight and cost were met. The hand will be 3D printed based on CAM codes generated in NX-CAM. An Arduino microcontroller board will enable wireless control of servo motors in the hand using a sensor-equipped control glove. The goal is to create a low-cost, biologically inspired robotic hand for applications such as bomb disposal, prosthetics and surgery.
Networks All Around Us: Extracting networks from your problem domainRussell Jurney
This document summarizes a presentation on analyzing networks in problem domains. It provides examples of different types of networks that can be analyzed, including founder networks, website behavior networks, and online social networks. It also describes various tools and techniques for social network analysis, such as calculating centrality, clustering, and dispersion. The presentation emphasizes how to identify relevant entities and relationships to model a problem domain as a property graph and analyze it using graph databases and network analysis libraries.
Agile Data Science: Hadoop Analytics ApplicationsRussell Jurney
This document provides instructions and examples for analyzing and visualizing event data in an agile manner. It discusses loading event data stored in Avro format using tools like Pig and displaying the data in a browser. Specific steps outlined include using Cat to view Avro data, loading the data into Pig and using Illustrate to view sample records. The overall approach emphasized is to work with atomic event data in an iterative way using Pig and other Hadoop tools to explore and visualize the data.
It's all about introduction to a blog which speaks about Destinations, Arts, Culture, People, Cuisines...Everything you would want to know about Kerala
Discover Life. Feel Divinity. Find Yourself...........Experience God's Own Country
Agile Data Science 2.0 (O'Reilly 2017) defines a methodology and a software stack with which to apply the methods. *The methodology* seeks to deliver data products in short sprints by going meta and putting the focus on the applied research process itself. *The stack* is but an example of one meeting the requirements that it be utterly scalable and utterly efficient in use by application developers as well as data engineers. It includes everything needed to build a full-blown predictive system: Apache Spark, Apache Kafka, Apache Incubating Airflow, MongoDB, ElasticSearch, Apache Parquet, Python/Flask, JQuery. This talk will cover the full lifecycle of large data application development and will show how to use lessons from agile software engineering to apply data science using this full-stack to build better analytics applications. The entire lifecycle of big data application development is discussed. The system starts with plumbing, moving on to data tables, charts and search, through interactive reports, and building towards predictions in both batch and realtime (and defining the role for both), the deployment of predictive systems and how to iteratively improve predictions that prove valuable.
1) JSON-LD has seen widespread adoption with over 2 million HTML pages including it and it being a required format for Linked Data platforms.
2) A primary goal of JSON-LD was to allow JSON developers to use it similarly to JSON while also providing mechanisms to reshape JSON documents into a deterministic structure for processing.
3) JSON-LD 1.1 includes additional features like using objects to index into collections, scoped contexts, and framing capabilities.
This document discusses building agile analytics applications. It recommends taking an iterative approach where data is explored interactively from the start to discover insights. Rather than designing insights upfront, the goal is to build an application that facilitates exploration of the data to uncover insights. This is done by setting up an environment where insights can be repeatedly produced and shared with the team. The focus is on using simple, flexible tools that work from small local data to large datasets.
Enabling Multimodel Graphs with Apache TinkerPopJason Plurad
Graphs are everywhere, but in a modern data stack, they are not the only tool in the toolbox. With Apache TinkerPop, adding graph capability on top of your existing data platform is not as daunting as it sounds. We will do a deep dive on writing Traversal Strategies to optimize performance of the underlying graph database. We will investigate how various TinkerPop systems offer unique possibilities in a multimodel approach to graph processing. We will discuss how using Gremlin frees you from vendor lock-in and enables you to swap out your graph database as your requirements evolve. Presented at Graph Day Texas, January 14, 2017. http://graphday.com/graph-day-at-data-day-texas/#plurad
El documento describe las características clave de un líder efectivo. Un líder debe tener la capacidad de comunicarse claramente, poseer inteligencia emocional para manejar los sentimientos propios y de otros, y establecer metas y objetivos congruentes con las capacidades del grupo. Además, un líder planea estratégicamente, aprovecha sus fortalezas y trabaja para mejorar sus debilidades, y ayuda a su gente a crecer delegando responsabilidades.
Agile Data Science: Building Hadoop Analytics ApplicationsRussell Jurney
This document discusses building agile analytics applications with Hadoop. It outlines several principles for developing data science teams and applications in an agile manner. Some key points include:
- Data science teams should be small, around 3-4 people with diverse skills who can work collaboratively.
- Insights should be discovered through an iterative process of exploring data in an interactive web application, rather than trying to predict outcomes upfront.
- The application should start as a tool for exploring data and discovering insights, which then becomes the palette for what is shipped.
- Data should be stored in a document format like Avro or JSON rather than a relational format to reduce joins and better represent semi-structured
See 2020 update: https://derwen.ai/s/h88s
SF Python Meetup, 2017-02-08
https://www.meetup.com/sfpython/events/237153246/
PyTextRank is a pure Python open source implementation of *TextRank*, based on the [Mihalcea 2004 paper](http://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) -- a graph algorithm which produces ranked keyphrases from texts. Keyphrases generally more useful than simple keyword extraction. PyTextRank integrates use of `TextBlob` and `SpaCy` for NLP analysis of texts, including full parse, named entity extraction, etc. It also produces auto-summarization of texts, making use of an approximation algorithm, `MinHash`, for better performance at scale. Overall, the package is intended to complement machine learning approaches -- specifically deep learning used for custom search and recommendations -- by developing better feature vectors from raw texts. This package is in production use at O'Reilly Media for text analytics.
Agile Data Science 2.0 (O'Reilly 2017) defines a methodology and a software stack with which to apply the methods. *The methodology* seeks to deliver data products in short sprints by going meta and putting the focus on the applied research process itself. *The stack* is but an example of one meeting the requirements that it be utterly scalable and utterly efficient in use by application developers as well as data engineers. It includes everything needed to build a full-blown predictive system: Apache Spark, Apache Kafka, Apache Incubating Airflow, MongoDB, ElasticSearch, Apache Parquet, Python/Flask, JQuery. This talk will cover the full lifecycle of large data application development and will show how to use lessons from agile software engineering to apply data science using this full-stack to build better analytics applications. The entire lifecycle of big data application development is discussed. The system starts with plumbing, moving on to data tables, charts and search, through interactive reports, and building towards predictions in both batch and realtime (and defining the role for both), the deployment of predictive systems and how to iteratively improve predictions that prove valuable.
The document provides a link to practice exams for the BIS220 final exam. Students can access prior exams through the link http://www.coursesexams.com/bis220-final-exam-1/ to help prepare for and review important concepts that may be covered on the final exam. The link directs to sample exam questions, answers, and explanations to help students study efficiently for the culminating assessment in the BIS220 course.
WB GENDER DIMENSIONS OF EXTRACTIVE INDUSTRIES august 2009John Strongman
This document discusses the importance of understanding how men and women are differently impacted by extractive industries (EI). It notes that ensuring women have equal access to EI benefits is important from a human rights perspective. It also discusses how investing in women is key for community development, as women often play important roles in families and communities by ensuring health, nutrition, education, and security. When women have more access to resources like education, employment, income, and financial opportunities, studies show positive impacts such as reduced infant mortality, increased child survival rates, and greater investments in family health and education. Therefore, addressing gender dimensions of EI can help maximize development benefits at both the individual and community levels.
El documento describe la evolución de la informática y su aplicación en la educación. Explica cómo la invención del transistor llevó a la miniaturización de los ordenadores y al desarrollo de las computadoras personales. También describe las ventajas del uso de la tecnología en la enseñanza, como el acceso a recursos educativos y la personalización del aprendizaje, así como algunos desafíos como la distracción y dependencia de los estudiantes.
This document provides a summary of the industrial training completed by Lovit Sawhney in July 2015. It includes an overview of key railway electrical terms and a description of cantilever assembly in Delhi Metro stations. It also summarizes tenders reviewed, office structure, and ongoing projects under RVNL including electrification and metro lines. Key sections reviewed are summarized along with field trips to the traction power control office, a traction substation, and power system installations in Delhi.
This project involves designing and developing a wireless, microcontroller-based humanoid arm with a five-fingered hand. Solidworks was used to design the mechanical components of the hand to resemble a human hand. Analysis was performed to ensure design specifications such as weight and cost were met. The hand will be 3D printed based on CAM codes generated in NX-CAM. An Arduino microcontroller board will enable wireless control of servo motors in the hand using a sensor-equipped control glove. The goal is to create a low-cost, biologically inspired robotic hand for applications such as bomb disposal, prosthetics and surgery.
Networks All Around Us: Extracting networks from your problem domainRussell Jurney
This document summarizes a presentation on analyzing networks in problem domains. It provides examples of different types of networks that can be analyzed, including founder networks, website behavior networks, and online social networks. It also describes various tools and techniques for social network analysis, such as calculating centrality, clustering, and dispersion. The presentation emphasizes how to identify relevant entities and relationships to model a problem domain as a property graph and analyze it using graph databases and network analysis libraries.
Agile Data Science: Hadoop Analytics ApplicationsRussell Jurney
This document provides instructions and examples for analyzing and visualizing event data in an agile manner. It discusses loading event data stored in Avro format using tools like Pig and displaying the data in a browser. Specific steps outlined include using Cat to view Avro data, loading the data into Pig and using Illustrate to view sample records. The overall approach emphasized is to work with atomic event data in an iterative way using Pig and other Hadoop tools to explore and visualize the data.
It's all about introduction to a blog which speaks about Destinations, Arts, Culture, People, Cuisines...Everything you would want to know about Kerala
Discover Life. Feel Divinity. Find Yourself...........Experience God's Own Country
Agile Data Science 2.0 (O'Reilly 2017) defines a methodology and a software stack with which to apply the methods. *The methodology* seeks to deliver data products in short sprints by going meta and putting the focus on the applied research process itself. *The stack* is but an example of one meeting the requirements that it be utterly scalable and utterly efficient in use by application developers as well as data engineers. It includes everything needed to build a full-blown predictive system: Apache Spark, Apache Kafka, Apache Incubating Airflow, MongoDB, ElasticSearch, Apache Parquet, Python/Flask, JQuery. This talk will cover the full lifecycle of large data application development and will show how to use lessons from agile software engineering to apply data science using this full-stack to build better analytics applications. The entire lifecycle of big data application development is discussed. The system starts with plumbing, moving on to data tables, charts and search, through interactive reports, and building towards predictions in both batch and realtime (and defining the role for both), the deployment of predictive systems and how to iteratively improve predictions that prove valuable.
1) JSON-LD has seen widespread adoption with over 2 million HTML pages including it and it being a required format for Linked Data platforms.
2) A primary goal of JSON-LD was to allow JSON developers to use it similarly to JSON while also providing mechanisms to reshape JSON documents into a deterministic structure for processing.
3) JSON-LD 1.1 includes additional features like using objects to index into collections, scoped contexts, and framing capabilities.
This document discusses building agile analytics applications. It recommends taking an iterative approach where data is explored interactively from the start to discover insights. Rather than designing insights upfront, the goal is to build an application that facilitates exploration of the data to uncover insights. This is done by setting up an environment where insights can be repeatedly produced and shared with the team. The focus is on using simple, flexible tools that work from small local data to large datasets.
Enabling Multimodel Graphs with Apache TinkerPopJason Plurad
Graphs are everywhere, but in a modern data stack, they are not the only tool in the toolbox. With Apache TinkerPop, adding graph capability on top of your existing data platform is not as daunting as it sounds. We will do a deep dive on writing Traversal Strategies to optimize performance of the underlying graph database. We will investigate how various TinkerPop systems offer unique possibilities in a multimodel approach to graph processing. We will discuss how using Gremlin frees you from vendor lock-in and enables you to swap out your graph database as your requirements evolve. Presented at Graph Day Texas, January 14, 2017. http://graphday.com/graph-day-at-data-day-texas/#plurad
El documento describe las características clave de un líder efectivo. Un líder debe tener la capacidad de comunicarse claramente, poseer inteligencia emocional para manejar los sentimientos propios y de otros, y establecer metas y objetivos congruentes con las capacidades del grupo. Además, un líder planea estratégicamente, aprovecha sus fortalezas y trabaja para mejorar sus debilidades, y ayuda a su gente a crecer delegando responsabilidades.
Agile Data Science: Building Hadoop Analytics ApplicationsRussell Jurney
This document discusses building agile analytics applications with Hadoop. It outlines several principles for developing data science teams and applications in an agile manner. Some key points include:
- Data science teams should be small, around 3-4 people with diverse skills who can work collaboratively.
- Insights should be discovered through an iterative process of exploring data in an interactive web application, rather than trying to predict outcomes upfront.
- The application should start as a tool for exploring data and discovering insights, which then becomes the palette for what is shipped.
- Data should be stored in a document format like Avro or JSON rather than a relational format to reduce joins and better represent semi-structured
See 2020 update: https://derwen.ai/s/h88s
SF Python Meetup, 2017-02-08
https://www.meetup.com/sfpython/events/237153246/
PyTextRank is a pure Python open source implementation of *TextRank*, based on the [Mihalcea 2004 paper](http://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) -- a graph algorithm which produces ranked keyphrases from texts. Keyphrases generally more useful than simple keyword extraction. PyTextRank integrates use of `TextBlob` and `SpaCy` for NLP analysis of texts, including full parse, named entity extraction, etc. It also produces auto-summarization of texts, making use of an approximation algorithm, `MinHash`, for better performance at scale. Overall, the package is intended to complement machine learning approaches -- specifically deep learning used for custom search and recommendations -- by developing better feature vectors from raw texts. This package is in production use at O'Reilly Media for text analytics.
Agile Data Science 2.0 (O'Reilly 2017) defines a methodology and a software stack with which to apply the methods. *The methodology* seeks to deliver data products in short sprints by going meta and putting the focus on the applied research process itself. *The stack* is but an example of one meeting the requirements that it be utterly scalable and utterly efficient in use by application developers as well as data engineers. It includes everything needed to build a full-blown predictive system: Apache Spark, Apache Kafka, Apache Incubating Airflow, MongoDB, ElasticSearch, Apache Parquet, Python/Flask, JQuery. This talk will cover the full lifecycle of large data application development and will show how to use lessons from agile software engineering to apply data science using this full-stack to build better analytics applications. The entire lifecycle of big data application development is discussed. The system starts with plumbing, moving on to data tables, charts and search, through interactive reports, and building towards predictions in both batch and realtime (and defining the role for both), the deployment of predictive systems and how to iteratively improve predictions that prove valuable.
Caricaturistas de todo el mundo responden con sus dibujos al asesinato de 12 personas en la oficina de la revista satírica francesa Charlie Hebdo. Los dibujantes asesinados incluyen a Cabu, Charb, Tignous y Wolinski. Los caricaturistas usan sus talentos artísticos para honrar a sus colegas asesinados y demostrar que el humor y la sátira son más poderosos que la violencia.
El documento presenta una autoevaluación sobre el trabajo colaborativo realizado en clase de francés turístico sobre una visita a Barcelona. La autoevaluación consta de 11 afirmaciones sobre la organización de los grupos de trabajo, los objetivos comunes, el desarrollo de habilidades interpersonales, la heterogeneidad de los grupos, la necesidad de cooperación para alcanzar metas, la complementariedad entre el trabajo individual y grupal, las tareas diferenciadas de los miembros y la evaluación tanto de los estudiantes como de los grupos.
Conseils pour Les Jeunes | Conseils de La Vie| Conseil de La JeunesseOscar Smith
Besoin des conseils pour les Jeunes ? Le document suivant est plein des conseils de la Vie ! C’est vraiment un document conseil de la jeunesse que tout jeune devrait consulter.
Voir version video:
➡https://youtu.be/7ED4uTW0x1I
Sur la chaine:👇
👉https://youtube.com/@kbgestiondeprojets
Aimeriez-vous donc…
-réussir quand on est jeune ?
-avoir de meilleurs conseils pour réussir jeune ?
- qu’on vous offre des conseils de la vie ?
Ce document est une ressource qui met en évidence deux obstacles qui empêchent les jeunes de mener une vie épanouie : l'inaction et le pessimisme.
1) Découvrez comment l'inaction, c'est-à-dire le fait de ne pas agir ou d'agir alors qu'on le devrait ou qu'on est censé le faire, est un obstacle à une vie épanouie ;
> Comment l'inaction affecte-t-elle l'avenir du jeune ? Que devraient plutôt faire les jeunes pour se racheter et récupérer ce qui leur appartient ? A découvrir dans le document ;
2) Le pessimisme, c'est douter de tout ! Les jeunes doutent que la génération plus âgée ne soit jamais orientée vers la bonne volonté. Les jeunes se sentent toujours mal à l'aise face à la ruse et la volonté politique de la génération plus âgée ! Cet état de doute extrême empêche les jeunes de découvrir les opportunités offertes par les politiques et les dispositifs en faveur de la jeunesse. Voulez-vous en savoir plus sur ces opportunités que la plupart des jeunes ne découvrent pas à cause de leur pessimisme ? Consultez cette ressource gratuite et profitez-en !
En rapport avec les " conseils pour les jeunes, " cette ressource peut aussi aider les internautes cherchant :
➡les conseils pratiques pour les jeunes
➡conseils pour réussir
➡jeune investisseur conseil
➡comment investir son argent quand on est jeune
➡conseils d'écriture jeunes auteurs
➡conseils pour les jeunes auteurs
➡comment aller vers les jeunes
➡conseil des jeunes citoyens
➡les conseils municipaux des jeunes
➡conseils municipaux des jeunes
➡conseil des jeunes en mairie
➡qui sont les jeunes
➡projet pour les jeunes
➡conseil des jeunes paris
➡infos pour les jeunes
➡conseils pour les jeunes
➡Quels sont les bienfaits de la jeunesse ?
➡Quels sont les 3 qualités de la jeunesse ?
➡Comment gérer les problèmes des adolescents ?
➡les conseils de jeunes
➡guide de conseils de jeunes
M2i Webinar - « Participation Financière Obligatoire » et CPF : une opportuni...M2i Formation
Suite à l'entrée en vigueur de la « Participation Financière Obligatoire » le 2 mai dernier, les règles du jeu ont changé !
Pour les entreprises, cette révolution du dispositif est l'occasion de revoir sa stratégie de formation pour co-construire avec ses salariés un plan de formation alliant performance de l'organisation et engagement des équipes.
Au cours de ce webinar de 20 minutes, co-animé avec la Caisse des Dépôts et Consignations, découvrez tous les détails actualisés sur les dotations et les exonérations, les meilleures pratiques, et comment maximiser les avantages pour les entreprises et leurs salariés.
Au programme :
- Principe et détails de la « Participation Financière Obligatoire » entrée en vigueur
- La dotation : une opportunité à saisir pour co-construire sa stratégie de formation
- Mise en pratique : comment doter ?
- Quelles incidences pour les titulaires ?
Webinar exclusif animé à distance en coanimation avec la CDC
Impact des Critères Environnementaux, Sociaux et de Gouvernance (ESG) sur les...mrelmejri
J'ai réalisé ce projet pour obtenir mon diplôme en licence en sciences de gestion, spécialité management, à l'ISCAE Manouba. Au cours de mon stage chez Attijari Bank, j'ai été particulièrement intéressé par l'impact des critères Environnementaux, Sociaux et de Gouvernance (ESG) sur les décisions d'investissement dans le secteur bancaire. Cette étude explore comment ces critères influencent les stratégies et les choix d'investissement des banques.