Enviar búsqueda
Cargar
Data Mining As Used In Employee Recruitment &
•
Descargar como PPT, PDF
•
3 recomendaciones
•
3,263 vistas
M
melodysmithjones
Seguir
Tecnología
Empresariales
Denunciar
Compartir
Denunciar
Compartir
1 de 13
Descargar ahora
Recomendados
The End of Sourcing 1.0 is Near, Sourcing 2.0 Just Beginning
Sourcing 1.0 to sourcing 2.0
Sourcing 1.0 to sourcing 2.0
louismaerten
Talent Sourcing & Matching
Sourceconaifullv6forslideshare 120108133422-phpapp02
Sourceconaifullv6forslideshare 120108133422-phpapp02
Rose Nolen
Presentation from SourceCon 2007 on what research is and how it benefits a recruiting organization
What True Research Is
What True Research Is
Amybeth Hale
Lecture given as guest professor at ICCFA University 2007, on the Art and Science of interviewing and selecting employees.
Art & Science ICCFA
Art & Science ICCFA
JasonWiding
For the very first time, patented HR tech allows Talent Managers to identify both the soft skills of the individual and where they can be best deployed to maximize employee wellness and development, productivity and retention.
IMPROVING WELLNESS & PRODUCTIVITY
IMPROVING WELLNESS & PRODUCTIVITY
TalentRecognition
Updted IrvMicro-BackgroundChecks-v2-0114
Updted IrvMicro-BackgroundChecks-v2-0114
W. Barry Nixon, SPHR
Small businesses are particularly vulnerable to negative impact of a bad hire. Learn how to reduce the risk of making a bad hire through the use of background checks.
How to Protect Your Business from Fraudsters, Liars and Cheats with Backgroun...
How to Protect Your Business from Fraudsters, Liars and Cheats with Backgroun...
W. Barry Nixon, SPHR
Data Mining to Predict Student Success in a Large Hybrid Class. Presentation for ALT-C 2014 @A_L_T #altc
Data Mining to Predict Student Success @A_L_T #altc
Data Mining to Predict Student Success @A_L_T #altc
Perry Samson
Recomendados
The End of Sourcing 1.0 is Near, Sourcing 2.0 Just Beginning
Sourcing 1.0 to sourcing 2.0
Sourcing 1.0 to sourcing 2.0
louismaerten
Talent Sourcing & Matching
Sourceconaifullv6forslideshare 120108133422-phpapp02
Sourceconaifullv6forslideshare 120108133422-phpapp02
Rose Nolen
Presentation from SourceCon 2007 on what research is and how it benefits a recruiting organization
What True Research Is
What True Research Is
Amybeth Hale
Lecture given as guest professor at ICCFA University 2007, on the Art and Science of interviewing and selecting employees.
Art & Science ICCFA
Art & Science ICCFA
JasonWiding
For the very first time, patented HR tech allows Talent Managers to identify both the soft skills of the individual and where they can be best deployed to maximize employee wellness and development, productivity and retention.
IMPROVING WELLNESS & PRODUCTIVITY
IMPROVING WELLNESS & PRODUCTIVITY
TalentRecognition
Updted IrvMicro-BackgroundChecks-v2-0114
Updted IrvMicro-BackgroundChecks-v2-0114
W. Barry Nixon, SPHR
Small businesses are particularly vulnerable to negative impact of a bad hire. Learn how to reduce the risk of making a bad hire through the use of background checks.
How to Protect Your Business from Fraudsters, Liars and Cheats with Backgroun...
How to Protect Your Business from Fraudsters, Liars and Cheats with Backgroun...
W. Barry Nixon, SPHR
Data Mining to Predict Student Success in a Large Hybrid Class. Presentation for ALT-C 2014 @A_L_T #altc
Data Mining to Predict Student Success @A_L_T #altc
Data Mining to Predict Student Success @A_L_T #altc
Perry Samson
Presentation from ALT-C conference, 2014 on the value of mapping and curation as an approach to impact research. The presentation includes some discussion of results from OER Research Hub.
Mapping & Curation in OER Impact Research #altc
Mapping & Curation in OER Impact Research #altc
Robert Farrow
Why Is DATA MINING(INTRODUCTION)
What Is DATA MINING(INTRODUCTION)
What Is DATA MINING(INTRODUCTION)
Pratik Tambekar
Course materials from Mr. Yudho Giri Sucahyo (MTI UI). Uploaded by Achmad Solichin (http://hotnewsarchive.info)
01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BI
Achmad Solichin
Mining Student Data LIVE_EUR_v2
Mining Student Data LIVE_EUR_v2
Rebecca Weaver, MBA, PMP
My SourceCon 2010 DC Keynote at the International Spy Museum on the 5 Levels of Talent Mining. I explore the value of human capital data, how talent mining has significant advantages over the predictive control of candidate variables when compared to other methods of sourcing candidates, and what I believe to be the future of sourcing, which is Talent Intelligence and Analytics.
The 5 Levels of Talent Mining from SourceCon 2010 DC
The 5 Levels of Talent Mining from SourceCon 2010 DC
Glen Cathey
THESE SLIDES WILL MAKE U UNDERSTAND ABOUT BAYES ALGORITHM AND ITS APPLICATION
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
amiteshg
The HR Business Partner is the most critical role in the modern HR Model. The HRBP is the employee, who acts as the single point of the contact for internal clients. However, the HRPB is not a pure sales person. The HRBP influences the work of Human Resources, participates in setting HR Goals and Objectives, leads difficult projects and collaborates with HR Centers of Excellence. The role is critical, but many companies fail in choosing right employees for the position. The HR Business Partner has to be highly skilled and has to understand to all HR processes to sell them the right way.
HR Business Partner: Critical Role
HR Business Partner: Critical Role
CreativeHRM
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
Predictive Analytics - An Overview
Predictive Analytics - An Overview
MachinePulse
Data mining slides
Data mining slides
smj
This tutorial provides an introduction to opinion mining. Some of the slides are based on Bing Liu's slides on opinion mining.
Opinion Mining Tutorial (Sentiment Analysis)
Opinion Mining Tutorial (Sentiment Analysis)
Kavita Ganesan
Introduction the topic of data mining technique.
Data Mining Concepts
Data Mining Concepts
Dung Nguyen
Introduction to Data Mining
Data mining
Data mining
Akannsha Totewar
Dave Ulrich changed Human Resources. He described completely new HR Model. He introduced several roles, which HR has to act. The HR Business Partner is the key role in his concept. The HR Business Partner is the front office role of HR and the HR Business Partner has to understand the business he or she supports. The HRBP has to understand to all HR processes and has to be able to negotiate the win-win consensus with internal clients. What are the most common roles and responsibilities of the HR business partner? How should you implement the Dave Ulrich's HR Model in your organization?
HR Business Partner: Roles and Responsibilities
HR Business Partner: Roles and Responsibilities
CreativeHRM
David Ulrich is a true HR Management Guru. His HR Model and his HR Roles and Responsibilities changed Human Resources as we know it. The key HR Roles in the organization are: HR Business Partner Change Agent Administration Expert Employee Advocate This HR Roles define the strategic framework for Human Resources Functions all around the Globe. The modern HR Management is defined using these simply defined roles to identify key tasks, goals and objectives for Human Resources in the organization. David Ulrich defined the basic scope for Human Resources to become a strategic partner for the top executives in the company. The roles are strongly interconnected, but they deliver the real value added to the company, which is seen and valued by both management and employees. The modern HR Department cannot exist without a well defined HR Model. The HR Model describes how responsibilities are split between HR units and employees in Human Resources. It defines how key HR tasks will be delivered and who will be accountable for the delivery.
David Ulrich's HR Model
David Ulrich's HR Model
CreativeHRM
Data mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniques
Saif Ullah
How HR is using analytics to drive improved decision making
Get Analytical - Next Generation Tools Make it Easier for HR to Find the Data...
Get Analytical - Next Generation Tools Make it Easier for HR to Find the Data...
Mark Berry
Metrics you can use to demonstrate HR effectiveness
Are You Using Data To Drive Your HR Strategy
Are You Using Data To Drive Your HR Strategy
Annzalie (Ann) Barrett
Running title: TRENDS IN COMPUTER INFORMATION SYSTEMS 1 TRENDS IN COMPUTER INFORMATION SYSTEMS 4 Trends in Computer Information Systems, and the Rise to Business Intelligence Shad Martin School for Professional Studies St. Louis University ENG 2005 Dr. Rebecca Wood November 23, 2016 Introduction Our quest to increase our knowledge of Computer Information Systems has produced a number of benefits to humanity. The innovation humans have discovered in Computer Information Systems has led to new sub-areas of study for students and professionals to continue their progression to master all that Computer Information Systems has to offer. Amy Web of the Harvard Business Review reported 8 Tech Trends to Watch in 2016, She noted, “In order to chart the best way forward, you must understand emerging trends: what they are, what they aren’t, and how they operate. Such trends are more than shiny objects; they’re manifestations of sustained changes within an industry sector, society, or human behavior. Trends are a way of seeing and interpreting our current reality, providing a useful framework to organize our thinking, especially when we’re hunting for the unknown. Fads pass. Trends help us forecast the future” (Harvard Business Review, 2015). In short, Amy’s reference to understanding the emerging trends in Computer Information can provide a framework from which, students, professionals, and scientists to conscientiously create a path towards optimizing their efforts. Ensuring we have a fundamental approach to analyze data will enhance our understanding of this subject further. In this paper I will expound on three of the top trends used to provide insight into the data produced from the advancements in Computer Information Systems. These trends or methods are taking place in my workplace within a financial institution, and in many other industries. It is important to note this paper does not provide an inclusive list of all methodologies that exist. Individuals can now leverage analytics to synthesize insights from data to identify emerging risk, manage operational risks, identify trends, improve compliance, and customer satisfaction. Data in and by itself is not always useful. Regardless of the data source, trained professional must understand the best approach to structure the data to make it more useful. In this paper, I will touch on three popular methodology trends occurring in Computer Information Systems. Students and professionals who work with large data would benefit from having a solid understanding of the fundamental principles of Business Intelligence as data scientific approach and when to use these methodologies. The rise of Business Intelligence Computer Information Systems allow many companies to gather and generate large amounts of data on their customers, business activities, potential merger targets, and risks found in their organization. These large sets of data have given rise to vari.
Running title TRENDS IN COMPUTER INFORMATION SYSTEMS1TRENDS I.docx
Running title TRENDS IN COMPUTER INFORMATION SYSTEMS1TRENDS I.docx
anhlodge
This blog talks about the ways businesses can draw actionable insights from data and ten critical steps to build a data-driven HR.
Data-driven HR reshaping the business landscape
Data-driven HR reshaping the business landscape
ElizaPeter1
Hr analytics
Hr analytics
Shubham Singhal
Hr analytics 2
Hr analytics 2
Shubham Singhal
For decades, industries and companies around the world have known talent can serve as one of the best competitive advantages. It is also clear identifying the right talent for your business is vital because not everyone is going to be a perfect fit.
Future Belongs to People Analytics
Future Belongs to People Analytics
Salil Mehendale
Más contenido relacionado
Destacado
Presentation from ALT-C conference, 2014 on the value of mapping and curation as an approach to impact research. The presentation includes some discussion of results from OER Research Hub.
Mapping & Curation in OER Impact Research #altc
Mapping & Curation in OER Impact Research #altc
Robert Farrow
Why Is DATA MINING(INTRODUCTION)
What Is DATA MINING(INTRODUCTION)
What Is DATA MINING(INTRODUCTION)
Pratik Tambekar
Course materials from Mr. Yudho Giri Sucahyo (MTI UI). Uploaded by Achmad Solichin (http://hotnewsarchive.info)
01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BI
Achmad Solichin
Mining Student Data LIVE_EUR_v2
Mining Student Data LIVE_EUR_v2
Rebecca Weaver, MBA, PMP
My SourceCon 2010 DC Keynote at the International Spy Museum on the 5 Levels of Talent Mining. I explore the value of human capital data, how talent mining has significant advantages over the predictive control of candidate variables when compared to other methods of sourcing candidates, and what I believe to be the future of sourcing, which is Talent Intelligence and Analytics.
The 5 Levels of Talent Mining from SourceCon 2010 DC
The 5 Levels of Talent Mining from SourceCon 2010 DC
Glen Cathey
THESE SLIDES WILL MAKE U UNDERSTAND ABOUT BAYES ALGORITHM AND ITS APPLICATION
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
amiteshg
The HR Business Partner is the most critical role in the modern HR Model. The HRBP is the employee, who acts as the single point of the contact for internal clients. However, the HRPB is not a pure sales person. The HRBP influences the work of Human Resources, participates in setting HR Goals and Objectives, leads difficult projects and collaborates with HR Centers of Excellence. The role is critical, but many companies fail in choosing right employees for the position. The HR Business Partner has to be highly skilled and has to understand to all HR processes to sell them the right way.
HR Business Partner: Critical Role
HR Business Partner: Critical Role
CreativeHRM
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
Predictive Analytics - An Overview
Predictive Analytics - An Overview
MachinePulse
Data mining slides
Data mining slides
smj
This tutorial provides an introduction to opinion mining. Some of the slides are based on Bing Liu's slides on opinion mining.
Opinion Mining Tutorial (Sentiment Analysis)
Opinion Mining Tutorial (Sentiment Analysis)
Kavita Ganesan
Introduction the topic of data mining technique.
Data Mining Concepts
Data Mining Concepts
Dung Nguyen
Introduction to Data Mining
Data mining
Data mining
Akannsha Totewar
Dave Ulrich changed Human Resources. He described completely new HR Model. He introduced several roles, which HR has to act. The HR Business Partner is the key role in his concept. The HR Business Partner is the front office role of HR and the HR Business Partner has to understand the business he or she supports. The HRBP has to understand to all HR processes and has to be able to negotiate the win-win consensus with internal clients. What are the most common roles and responsibilities of the HR business partner? How should you implement the Dave Ulrich's HR Model in your organization?
HR Business Partner: Roles and Responsibilities
HR Business Partner: Roles and Responsibilities
CreativeHRM
David Ulrich is a true HR Management Guru. His HR Model and his HR Roles and Responsibilities changed Human Resources as we know it. The key HR Roles in the organization are: HR Business Partner Change Agent Administration Expert Employee Advocate This HR Roles define the strategic framework for Human Resources Functions all around the Globe. The modern HR Management is defined using these simply defined roles to identify key tasks, goals and objectives for Human Resources in the organization. David Ulrich defined the basic scope for Human Resources to become a strategic partner for the top executives in the company. The roles are strongly interconnected, but they deliver the real value added to the company, which is seen and valued by both management and employees. The modern HR Department cannot exist without a well defined HR Model. The HR Model describes how responsibilities are split between HR units and employees in Human Resources. It defines how key HR tasks will be delivered and who will be accountable for the delivery.
David Ulrich's HR Model
David Ulrich's HR Model
CreativeHRM
Data mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniques
Saif Ullah
Destacado
(15)
Mapping & Curation in OER Impact Research #altc
Mapping & Curation in OER Impact Research #altc
What Is DATA MINING(INTRODUCTION)
What Is DATA MINING(INTRODUCTION)
01. Introduction to Data Mining and BI
01. Introduction to Data Mining and BI
Mining Student Data LIVE_EUR_v2
Mining Student Data LIVE_EUR_v2
The 5 Levels of Talent Mining from SourceCon 2010 DC
The 5 Levels of Talent Mining from SourceCon 2010 DC
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HR Business Partner: Critical Role
HR Business Partner: Critical Role
Predictive Analytics - An Overview
Predictive Analytics - An Overview
Data mining slides
Data mining slides
Opinion Mining Tutorial (Sentiment Analysis)
Opinion Mining Tutorial (Sentiment Analysis)
Data Mining Concepts
Data Mining Concepts
Data mining
Data mining
HR Business Partner: Roles and Responsibilities
HR Business Partner: Roles and Responsibilities
David Ulrich's HR Model
David Ulrich's HR Model
Data mining (lecture 1 & 2) conecpts and techniques
Data mining (lecture 1 & 2) conecpts and techniques
Similar a Data Mining As Used In Employee Recruitment &
How HR is using analytics to drive improved decision making
Get Analytical - Next Generation Tools Make it Easier for HR to Find the Data...
Get Analytical - Next Generation Tools Make it Easier for HR to Find the Data...
Mark Berry
Metrics you can use to demonstrate HR effectiveness
Are You Using Data To Drive Your HR Strategy
Are You Using Data To Drive Your HR Strategy
Annzalie (Ann) Barrett
Running title: TRENDS IN COMPUTER INFORMATION SYSTEMS 1 TRENDS IN COMPUTER INFORMATION SYSTEMS 4 Trends in Computer Information Systems, and the Rise to Business Intelligence Shad Martin School for Professional Studies St. Louis University ENG 2005 Dr. Rebecca Wood November 23, 2016 Introduction Our quest to increase our knowledge of Computer Information Systems has produced a number of benefits to humanity. The innovation humans have discovered in Computer Information Systems has led to new sub-areas of study for students and professionals to continue their progression to master all that Computer Information Systems has to offer. Amy Web of the Harvard Business Review reported 8 Tech Trends to Watch in 2016, She noted, “In order to chart the best way forward, you must understand emerging trends: what they are, what they aren’t, and how they operate. Such trends are more than shiny objects; they’re manifestations of sustained changes within an industry sector, society, or human behavior. Trends are a way of seeing and interpreting our current reality, providing a useful framework to organize our thinking, especially when we’re hunting for the unknown. Fads pass. Trends help us forecast the future” (Harvard Business Review, 2015). In short, Amy’s reference to understanding the emerging trends in Computer Information can provide a framework from which, students, professionals, and scientists to conscientiously create a path towards optimizing their efforts. Ensuring we have a fundamental approach to analyze data will enhance our understanding of this subject further. In this paper I will expound on three of the top trends used to provide insight into the data produced from the advancements in Computer Information Systems. These trends or methods are taking place in my workplace within a financial institution, and in many other industries. It is important to note this paper does not provide an inclusive list of all methodologies that exist. Individuals can now leverage analytics to synthesize insights from data to identify emerging risk, manage operational risks, identify trends, improve compliance, and customer satisfaction. Data in and by itself is not always useful. Regardless of the data source, trained professional must understand the best approach to structure the data to make it more useful. In this paper, I will touch on three popular methodology trends occurring in Computer Information Systems. Students and professionals who work with large data would benefit from having a solid understanding of the fundamental principles of Business Intelligence as data scientific approach and when to use these methodologies. The rise of Business Intelligence Computer Information Systems allow many companies to gather and generate large amounts of data on their customers, business activities, potential merger targets, and risks found in their organization. These large sets of data have given rise to vari.
Running title TRENDS IN COMPUTER INFORMATION SYSTEMS1TRENDS I.docx
Running title TRENDS IN COMPUTER INFORMATION SYSTEMS1TRENDS I.docx
anhlodge
This blog talks about the ways businesses can draw actionable insights from data and ten critical steps to build a data-driven HR.
Data-driven HR reshaping the business landscape
Data-driven HR reshaping the business landscape
ElizaPeter1
Hr analytics
Hr analytics
Shubham Singhal
Hr analytics 2
Hr analytics 2
Shubham Singhal
For decades, industries and companies around the world have known talent can serve as one of the best competitive advantages. It is also clear identifying the right talent for your business is vital because not everyone is going to be a perfect fit.
Future Belongs to People Analytics
Future Belongs to People Analytics
Salil Mehendale
Enabling the workforce to drive the business IBM Talent and Change services and Smarter Workforce solutions combine market-leading talent management and social collaboration tools with the power of workforce science and advanced analytics. They enable organizations to attract, engage and grow topperforming talent, create an engaging social and collaborative culture, and connect the right people to get work done. We help organizations build an impassioned and engaged workforce and deeper client relationships leading to measurable business outcomes.
Ibm smarter workforce Unlock the people equation using workforce analytics to...
Ibm smarter workforce Unlock the people equation using workforce analytics to...
Pauline Mura
Recruitment Management Software greatly reduces otherwise labor-intensive data entry and record-keeping associated with job creation, advertising, screening and employee selection. Use this Business.com guide to get top tips for evaluating the best RMS available- to make your HR duties a little more manageable.
Overview of Recruitment Management Systems- Business.com
Overview of Recruitment Management Systems- Business.com
Business.com
data mining and new product
Data mining
Data mining
Gagan Mittal
Data Analytics basic giude
Beginners_s_Guide_Data_Analytics_1661051664.pdf
Beginners_s_Guide_Data_Analytics_1661051664.pdf
KashifJ1
More and more law firms are relying on specific data analyses as they make hiring decisions.
The Science of Recruiting Lateral Partners
The Science of Recruiting Lateral Partners
LawCrossing
The Value of Data for Human Resources Managers
HR Analytics
HR Analytics
Michela Visciola
Here I have Explained Basic concepts and overview of Business Analytics
Introduction to Business Anlytics and Strategic Landscape
Introduction to Business Anlytics and Strategic Landscape
Rani Channamma University, Sangolli Rayanna First Grade Constituent College, Belagavi
76140732
76140732
Stephanie Castellano
For the last 18 months, the consulting team at Media 1 has read tens of thousands of pages of research, presentations, and white papers on analytics as it relates to people and performance. When we came across especially interesting content, we added it to a master list of resources. The following 58 Quotes, Facts, Benchmarks, and Best Practices on People and Analytics where curated from that list in the hopes that people will use them in support of creating great places to work.
58 Quotes, Facts, Benchmarks, and Best Practices on People and Analytics
58 Quotes, Facts, Benchmarks, and Best Practices on People and Analytics
Harrison Withers
This blog talks about the ways businesses can draw actionable insights from data and ten critical steps to build a data-driven HR.
Data-Driven HR: Redefining Business Success | Exela HR Solutions
Data-Driven HR: Redefining Business Success | Exela HR Solutions
Exela HR Solutions
Human resource information system
Human resource information system
Pranav Kumar Ojha
• Interpret trend information to understand the business case for Big Data in HR. • Examine your fears and assumptions about Big Data. • Learn from best practice case studies how to demonstrate HR’s contributions to ROI. • Understand how to engage key stakeholders as part of your organization’s people analytics journey.
Big Data = Big Headache? Using People Analytics to Fuel ROI
Big Data = Big Headache? Using People Analytics to Fuel ROI
talent.imperative
Adopting an evidence-based recruitment marketing strategy is not just reserved for large employers. In fact, a targeted sourcing strategy can in some ways have a greater impact on small and mid-size businesses who need to allocate already-limited resources to the areas that will provide the most value. Ultimately, hiring the right candidate means profitability for your business. How can talent acquisition professionals gain the insights their organizations need to make better-informed decisions about their recruitment marketing efforts?
Enabling Success With Big Data - Driven Talent Acquisition
Enabling Success With Big Data - Driven Talent Acquisition
David Bernstein
Similar a Data Mining As Used In Employee Recruitment &
(20)
Get Analytical - Next Generation Tools Make it Easier for HR to Find the Data...
Get Analytical - Next Generation Tools Make it Easier for HR to Find the Data...
Are You Using Data To Drive Your HR Strategy
Are You Using Data To Drive Your HR Strategy
Running title TRENDS IN COMPUTER INFORMATION SYSTEMS1TRENDS I.docx
Running title TRENDS IN COMPUTER INFORMATION SYSTEMS1TRENDS I.docx
Data-driven HR reshaping the business landscape
Data-driven HR reshaping the business landscape
Hr analytics
Hr analytics
Hr analytics 2
Hr analytics 2
Future Belongs to People Analytics
Future Belongs to People Analytics
Ibm smarter workforce Unlock the people equation using workforce analytics to...
Ibm smarter workforce Unlock the people equation using workforce analytics to...
Overview of Recruitment Management Systems- Business.com
Overview of Recruitment Management Systems- Business.com
Data mining
Data mining
Beginners_s_Guide_Data_Analytics_1661051664.pdf
Beginners_s_Guide_Data_Analytics_1661051664.pdf
The Science of Recruiting Lateral Partners
The Science of Recruiting Lateral Partners
HR Analytics
HR Analytics
Introduction to Business Anlytics and Strategic Landscape
Introduction to Business Anlytics and Strategic Landscape
76140732
76140732
58 Quotes, Facts, Benchmarks, and Best Practices on People and Analytics
58 Quotes, Facts, Benchmarks, and Best Practices on People and Analytics
Data-Driven HR: Redefining Business Success | Exela HR Solutions
Data-Driven HR: Redefining Business Success | Exela HR Solutions
Human resource information system
Human resource information system
Big Data = Big Headache? Using People Analytics to Fuel ROI
Big Data = Big Headache? Using People Analytics to Fuel ROI
Enabling Success With Big Data - Driven Talent Acquisition
Enabling Success With Big Data - Driven Talent Acquisition
Último
This our Twelfth semiannual report on the global Cryptocurrency mining industry. Bitcoin is the world’s largest special purpose supercomputer. And it is globally decentralized. Millions of nodes all run the same open-source code to secure the Bitcoin network, create value, and put new transactions onto the distributed ledger. The latest Top500 list has just been announced at the ISC 2024 conference in Hamburg, and once again the Frontier supercomputer with 1.2 Exaflops peak performance is number one on the list. If assigned to SHA-256 hashing, Frontier would provide only the equivalent hash rate of about three cabinets of the latest high-end Bitcoin mining systems, costing less than 0.1% of Frontier’s cost. Michael Saylor, Chairman of MicroStrategy, has pointed out that GPUs are two orders of magnitude slower than the 5-nanometer technology of custom ASICs used for Bitcoin mining today. He makes the point that the Bitcoin network is unassailable by all of the hyperscale computing resources combined in AWS, Google, and Microsoft Azure cloud data centers today.
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
Stephen Perrenod
Delivered by Sreenath Gopalakrishna, Director of Software Engineering at BT, and Dr Jim Webber, Chief Scientist at Neo4j, at Gartner Data & Analytics Summit London 2024 this presentation examines how knowledge graphs and GenAI combine in real-world solutions. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Future innovation plans include the exploration of uses of EKG + Generative AI.
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptx
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptx
Neo4j
Brief Introduction to Generative AI and LLM in particular. Overview of the market, and usages of LLMs. What's it like to train and build a model. Retrieval Augmented Generation 101, explained for non savvies, and a perspective of what are the moving parts making it complex
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
vincent683379
Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations. We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures. Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
Srushith Repakula
This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for April 2024
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
Stephanie Beckett
A recap of interesting points and quotes from the May 2024 WSO2CON opensource application development conference. Focuses primarily on keynotes and panel sessions.
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
Jennifer Lim
This instalment looked at building performance at the earliest stages of your project, covering Interoperability, Solar and Daylighting.
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
IES VE
Syngulon’s technology expands the capacity for selection of microorganisms. The ability to select individual microbes with a behavior of interest is essential, whether for simple cloning at the bench, or for industry-scale production. Synthetic biology uses the concept of “bioengineering” to improve or modify existing genetic systems to create microbes with desired behaviors, and Syngulon uses this approach to develop its selection technologies. This selection technology is based on bacteriocins, ribosomally-produced peptides naturally made by most bacteria to kill competitive microbial species. These bacteriocins can have a limited or wide target range against other microbial species. This technology offers advantageous over antibiotic selection for several reasons: it avoids the use of antibiotics in the first place, helping to reduce the spread of antibiotic resistant microbes. The technology also increases product yield; as bacteriocins are generally smaller peptides, they do not impose a heavy metabolic burden on the producing cell. They can have a wide target specificity, helping to avoid genetic drift. Finally, our system is 100% plasmid-based (e.g. without chromosomal mutations), making it applicable for use in any E. coli strains.
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
Syngulon
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
中 央社
Question de pré-engagement à remplir !
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Exakis Nelite
This talk focuses on the practical aspects of integrating various telephony systems with Salesforce, drawing on examples from implementations in the Czech scene. It aims to inform attendees about the spectrum of telephony solutions available, from small to large scale, and their compatibility with Salesforce. The presentation will highlight key considerations for selecting a telephony provider that integrates smoothly with Salesforce, including important questions to support the decision-making process. It will also discuss methods for integrating existing telephony systems with Salesforce, aimed at companies contemplating or in the process of adopting this CRM platform. The discussion is designed to provide a straightforward overview of the steps and considerations involved in telephony and Salesforce integration, with an emphasis on functionality, compatibility, and the practical experiences of Czech companies.
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
CzechDreamin
Speaker : Daniela Barbosa, Executive Director of the Hyperledger Foundation 2024年5月16日開催 Hyperledger Tokyo Meetupで講演
Overview of Hyperledger Foundation
Overview of Hyperledger Foundation
Hyperleger Tokyo Meetup
This webinar showcased the Loads Analysis capabilities within IESVE software.
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
IES VE
FIDO Taipei Workshop: Securing the Edge with FDO
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
FIDO Alliance
Artificial Intelligence is referred to as machine intelligence, and it is rooted in binary codes and mathematical algorithms. It is a testament to human creativity and is capable of massive data processing, pattern recognition, and even self-learning. However, the realm of AI realm is confined.
AI mind or machine power point presentation
AI mind or machine power point presentation
yogeshlabana357357
The presentation underscores the strategic advantage of treating design systems not just as technical assets but as vital business components that require thoughtful management, robust planning, and strategic alignment with organizational goals. Key Points Covered: - Understanding Design Systems as Business Entities: Conceptualizing design systems as internal business entities can streamline their integration and evolution within a company. - Adoption and Expansion: Elaborating on the importance of tactical adoption across organizational structures, enhancing product suites to cater to user needs and broadening scope to mobile and content authoring solutions. - Data-Driven Development: Utilizing data insights for component development ensures that resources are allocated to create valuable, widely used features. - Financial Modeling for Design Systems: Developing sustainable funding models is crucial for long-term support and success of design systems. - Promoting Internal Buy-In: Stressing on strategies for promoting design systems within the organization to increase engagement and investment from internal stakeholders.
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
UXDXConf
Designing inclusive products is not only a social responsibility but also a business imperative. This talk delves into the journey of creating accessible hardware products that cater to diverse user needs. Key Topics Covered: 1. Introduction to Inclusive Design - Importance of accessibility in product design - Overview of Comcast's commitment to making products accessible to a wide audience 2. Case Study: Xfinity Large Button Voice Remote - Initial challenges and the evolution of the product - User research and feedback that shaped the design - Key features of the final product and their benefits 3. Designing for Diverse Needs - Understanding human-centered design and its historical context - The impact of designing for people with disabilities on overall product quality - Examples from other industries, such as architecture and industrial design 4. Integrating Accessibility from the Beginning - The cost and efficiency benefits of designing for accessibility from the start - The process of embedding accessibility as a core trait rather than an optional feature 5. Real-World Impact and Continuous Improvement - Insights from in-home studies with users having assistive needs - How continuous feedback and iterative design lead to better products - The role of inclusive research and development practices
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
UXDXConf
FIDO Taipei Workshop: Securing the Edge with FDO
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
FIDO Alliance
How WebAssembly can be used to optimize and accelerate Large Language Models Inference in the Cloud.
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
Samy Fodil
When you think of a highly secure meeting environment, do you instantly think 'Microsoft Teams'!? Or do you think about some unknown application, troublesome UI and daunting login process...? If you think the latter - let's change that! In this session Femke will show you how using Teams Premium features can create secure, but also good looking meetings! PRETTY. Make sure your company's brand is represented before, during and after the meeting with Customization policies in place. SECURE. Lets utilize Meeting templates and Sensitivity Labels to protect your meeting and data to prevent sensitive information from being leaked. After this session, you will have a clear understanding of the capabilities of Teams Premium features and how to set up the perfect meeting that suits your organizational requirements!
ECS 2024 Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
Femke de Vroome
Último
(20)
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptx
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptx
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Overview of Hyperledger Foundation
Overview of Hyperledger Foundation
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
AI mind or machine power point presentation
AI mind or machine power point presentation
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
ECS 2024 Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
Data Mining As Used In Employee Recruitment &
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
Descargar ahora
![[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)