Attracting Top Talent: How To Prepare Your Job Descriptions To Fuel Your Recr...HRTMS
Do your recruiters have the most accurate job descriptions at their fingertips when they create new job postings? Or do they cut/paste and invent new ones just to meet daily demands and deadlines? An accurate job description is essential in attracting the ideal candidate. Wouldn’t it be great if a well-written and complete repository of job descriptions could integrate directly with your recruiting software? Join us as Mitch Stephens discusses how you can help attract the right talent and avoid costly hiring mistakes.
The mission of the Center for Curriculum Redesign (CCR) is to answer this timely question, and openly propagate its recommendations and frameworks on a worldwide basis.
- See video at: https://www.youtube.com/watch?v=n7dgWnPIENU and more at: http://curriculumredesign.org/
Andreas Schleicher - OECD/Japan Seminar: Official launch of the TALIS results where Ministers discussed how to best shape teacher policy so as to have the strongest impact on the quality of the learning environment.
(25-26 June, 2014)
A proposal for the PISA 2018 Assessment of Global CompetenceEduSkills OECD
Globalisation brings innovation, new experiences and higher living standards, but it equally contributes to economic inequity and social division. That’s why this generation requires new capacities. Young people need to collaborate with people from different disciplines, cultures and value systems, in a way that solves complex problems and creates economic and social capital. They need to bring judgement and action to difficult situations in which people’s beliefs and standards are at odds.
For some years, educators have been discussing how best to build these capacities. Is there a distinctive competence that equips young people for the culturally diverse and digitally-connected communities in which they work and socialise? And can students learn to mobilise knowledge, skills, values and attitudes, in order to act creatively, collaboratively and ethically?
These issues are now at the heart of international education discussion.
The Journey towards Sustainable Digital Innovation. A case study on Arval BNP...Anastasia Romanski
This thesis seeks to explain why it is important for companies to achieve Digital Mastery. Second, it looks at how the theory of Digital Mastery can be used to help companies like ARVAL BNP Paribas achieve better mastery over their information and digital technologies.
The main questions answered are:
• What is digital Mastery?
• Why should companies strive for Digital Mastery, and how can they achieve it?
• What was done at ARVAL?
• To what extent did the transformation at ARVAL bring them closer to Digital Mastery?
• What are the next steps in ARVAL’s journey towards Digital Mastery?
The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making.
In this workshop, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry.
Agenda:
In Part 1, we will discuss key trends in AI and machine learning in the financial services industry, including the key use cases, challenges, and best practices.
In Part 2, we will illustrate two case studies where AI and machine learning techniques are applied in financial services.
Case studies:
Sentiment Analysis Using Natural Language Processing in Finance
In this case study, we will demonstrate the use of natural language processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs (application programming interfaces). We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
Credit Risk Decision Making Using Lending Club Data
In this case study, we will use the Lending Club data set to build a credit risk model using
machine learning techniques.
Digitization is a burning issue in the business world today. The accountants are tasked to learn new
skills in order to fit in to the new demands of their job. Existing accountants are afraid that they will lose their
jobs. In the light of this, this research investigated the effect of digitization in the job of the accountant to
establish if it was a threat or a companion to the accountant
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
Attracting Top Talent: How To Prepare Your Job Descriptions To Fuel Your Recr...HRTMS
Do your recruiters have the most accurate job descriptions at their fingertips when they create new job postings? Or do they cut/paste and invent new ones just to meet daily demands and deadlines? An accurate job description is essential in attracting the ideal candidate. Wouldn’t it be great if a well-written and complete repository of job descriptions could integrate directly with your recruiting software? Join us as Mitch Stephens discusses how you can help attract the right talent and avoid costly hiring mistakes.
The mission of the Center for Curriculum Redesign (CCR) is to answer this timely question, and openly propagate its recommendations and frameworks on a worldwide basis.
- See video at: https://www.youtube.com/watch?v=n7dgWnPIENU and more at: http://curriculumredesign.org/
Andreas Schleicher - OECD/Japan Seminar: Official launch of the TALIS results where Ministers discussed how to best shape teacher policy so as to have the strongest impact on the quality of the learning environment.
(25-26 June, 2014)
A proposal for the PISA 2018 Assessment of Global CompetenceEduSkills OECD
Globalisation brings innovation, new experiences and higher living standards, but it equally contributes to economic inequity and social division. That’s why this generation requires new capacities. Young people need to collaborate with people from different disciplines, cultures and value systems, in a way that solves complex problems and creates economic and social capital. They need to bring judgement and action to difficult situations in which people’s beliefs and standards are at odds.
For some years, educators have been discussing how best to build these capacities. Is there a distinctive competence that equips young people for the culturally diverse and digitally-connected communities in which they work and socialise? And can students learn to mobilise knowledge, skills, values and attitudes, in order to act creatively, collaboratively and ethically?
These issues are now at the heart of international education discussion.
The Journey towards Sustainable Digital Innovation. A case study on Arval BNP...Anastasia Romanski
This thesis seeks to explain why it is important for companies to achieve Digital Mastery. Second, it looks at how the theory of Digital Mastery can be used to help companies like ARVAL BNP Paribas achieve better mastery over their information and digital technologies.
The main questions answered are:
• What is digital Mastery?
• Why should companies strive for Digital Mastery, and how can they achieve it?
• What was done at ARVAL?
• To what extent did the transformation at ARVAL bring them closer to Digital Mastery?
• What are the next steps in ARVAL’s journey towards Digital Mastery?
The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making.
In this workshop, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry.
Agenda:
In Part 1, we will discuss key trends in AI and machine learning in the financial services industry, including the key use cases, challenges, and best practices.
In Part 2, we will illustrate two case studies where AI and machine learning techniques are applied in financial services.
Case studies:
Sentiment Analysis Using Natural Language Processing in Finance
In this case study, we will demonstrate the use of natural language processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs (application programming interfaces). We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
Credit Risk Decision Making Using Lending Club Data
In this case study, we will use the Lending Club data set to build a credit risk model using
machine learning techniques.
Digitization is a burning issue in the business world today. The accountants are tasked to learn new
skills in order to fit in to the new demands of their job. Existing accountants are afraid that they will lose their
jobs. In the light of this, this research investigated the effect of digitization in the job of the accountant to
establish if it was a threat or a companion to the accountant
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
In this lecture I explain the differences between artificial intelligence, machine learning and deep learning; explain the main debates regarding automation of knowledge and service work and the risk cognitive bias; identify the main robot applications for knowledge and service work; and critically discuss five strategies for staying employed in the automation age. Lecture presented in 2017 at Loughborough University, School of Business and Economics for Business Systems module, final year undergraduate degree programme.
A Guide to Succeeding in the Internet of Things provides innovators, designers, engineers and strategists with shared tools and a vocabulary to collaborate and create fresh, viable product and service concepts in the Internet of Things (IoT).
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Digital Artifact 2 - Investigating Pavilion Designs
The New Division Of Labor -PISA 2009 - ERA
1. The New Division of Labor:
How Computers Are Creating the
Next Job Market
PISA 2009 -ERA
Raimundo Rubio
Science and Mathematics Officer
ISEI-IVEI
BASQUE INSTITUTE FOR RESEARCH AND
EVALUATION IN EDUCATION
2. ON MARCH 22, 1964, THE AD HOC COMMITTEE ON THE TRIPLE
Revolution sent a fourteen-page memorandum
to President Lyndon Johnson
The signers included chemist Linus Pauling
(recipient of two Nobel Prizes),
economist Gunnar Myrdal (a future
Nobel Prize-winner), and
Gerard Piel, publisher of Scientific American.
3. A new era of production has begun
• Its principles of organization are as different from
those of the industrial era as those of the
industrial era were different from the agricultural.
• The cybernation revolution has been brought
about by the combination of the computer and
the automated self-regulating machine.
• This results in a system of almost unlimited
productive capacity which requires progressively
less human labor.
• Cybernation is already reorganizing the economic
and social system to meet its own needs.
4. It involves rethinking education and training,
beginning with answering four fundamental questions:
• What kinds of tasks do humans perform better than
computers?
• What kinds of tasks do computers perform better than
humans?
• In an increasingly computerized world, what well-paid
work is left for people to do both now and in the
future?
• How can people learn the skills to do this work?
5. In 1970, more than one-half of employed U.S. adults worked in
two broad occupational categories:
• blue-collar jobs and clerical (white)jobs
• Few people got rich in these jobs, but they
supported middle- and lower-middle-class living
and many were open to high school graduates.
• Today, less than 40 percent of adults have blue-
collar or clerical jobs and many of these jobs
require at least some college education.
• The computerization of work has played a
significant role in this change.
6. In the past, when new technologies have replaced workers in a given
sector, new sectors have always emerged to absorb the displaced
laborers
• Today, all three of the traditional sectors of the economy--
agriculture, manufacturing, and service--are experiencing
technological displacement, forcing millions onto the
unemployment rolls.
• The only new sector emerging is the knowledge
sector, made up of elite
entrepreneurs, scientists, technicians, computer
programmers, professionals, educators, and consultants.
• While this sector is growing, it is not expected to absorb
more than a fraction of the hundreds of millions who will
be eliminated in the next several decades in the wake of
revolutionary advances in the information and
communication sciences.
7. VARITIES OF HUMAN INFORMATION PROCESSING
Conscious Application of Rules Cannot be
Application of Inductive Rules Articulated
Deductive Rules
(Rules- Based Logic) (Pattern Recognition) (Pure Pattern Recognition)
Arithmetic, Predicting a Mortgage Writing a Legal Brief,
Default
Boarding Pass a Truck Driver making a
Recognizing left turn against traffic.
Recognizing a Spoken
Name
8.
9. What Skills are Now Required?
Expert Thinking:
Solving problems for which there are no rule-based solutions.
Examples :
•Diagnosing the illness of a patient whose symptoms seem
strange
•Creating a good tasting dish from the ingredients that are fresh in the market
that morning
•Repairing an auto that does not run well but that the computer diagnostics
report has no problem.
These problems require what we have called pure pattern recognition –
information processing that cannot now be programmed on a computer.
10. Complex Communication:
Interacting with humans to acquire information, to
explain it, or to persuade others of its implications for action.
Examples:
•Manager motivating the people whose work she supervises
•A sales person gauging a customer’s reaction to a piece of clothing,
•A biology teacher explaining how cells divide,
•An engineer describing why a new design for a DVD player is an advance over previous
designs.
11. Routine Cognitive Tasks.
Mental tasks that are well described by deductive or
inductive rules.
Examples:
• Maintaining expense reports
•Filing new information provided by insurance customers
•Evaluating applications for mortgages.
Because these tasks can be accomplished by following a set of rules,
they are prime candidates for computerization.
12. Routine Manual Tasks.
Physical tasks that can be well described using
deductive or inductive rules.
Examples:
•Installing windshields on new vehicles in automobile assembly plants
•Counting and packaging pills into containers in pharmaceutical firms.
Since these tasks can be defined in terms of a set of precise, repetitive
movements they are also candidates for computerization.
13. Non-routine Manual Tasks:
Physical tasks that cannot be well described as
following a set of If-Then-Do rules because they require optical recognition
and fine muscle control that have proven extremely difficult to program
computers to carry out.
Examples:
•driving a truck
•cleaning a building
•setting gems in engagement rings.
Computers do not complement human effort in carrying out most such tasks.
As a result, computerization should have little effect on the percentage of the
workforce engaged in these tasks.
14. Figure 3:
Economy-Wide Measures of Routine and Non-Routine Task Input: 1969 - 1998
(1969 = 0) (pag . 14)
Routine manual
Mean task input as percentiles of the 1960 task distribution
65
60 Nonroutine manual
55
Routine cognitive
50
Nonroutine analytic
45
40
Nonroutine interactive
1960 1970 1980 1990 2002
(Levy y Murnane)
15. Secondary graduation number in the future
14.000.000
12.000.000
10.000.000
8.000.000
2003
2010
6.000.000
2015
4.000.000
2.000.000
0
China EU India US
16. PISA 2009 -Electronic Reading Assessment
Reading of electronic texts is becoming increasingly necessary and prevalent in
society.
PISA recognises this and has integrated the reading of electronic texts into the
PISA 2009 Reading Framework.
The Electronic Reading Assessment (ERA) is an innovative
Electronic Reading Assessment
project aiming at assessing the reading literacy of 15-year-olds using electronic
texts.
It is an international option in PISA 2009. ERA is a 30-minute test using existing
school IT infrastructure.
http://erasq.acer.edu.au/
Username: public
Password: access.