Are you considering culture when making hiring decisions? Most companies do. Vested assesses for culture and assembled this document to share the 4 main company cultures. Which does your company fall into?
This document contains a map of an unspecified location. The map shows streets, buildings, and other geographical features. It includes a copyright notice indicating the map data was created by Google in 2019.
#ATAGTR2019 Presentation "Deliver with confidence using Consumer-Driven Contr...Agile Testing Alliance
Sundaresan Krishnaswami who is a Test Architect at IBM took a Session on "Deliver with confidence using Consumer-Driven Contracts" at Global Testing Retreat #ATAGTR2019
The document appears to be a map screenshot showing an area with various streets and points of interest. It includes common map elements such as a scale, compass, and labels for locations. The summary provides only high-level information as the document itself is primarily a visual map without additional context or details in text form.
This document contains a map of an unspecified location. The map shows streets, buildings, and other geographical features but does not provide any other context or details about the location depicted. In a few brief sentences, the document summarizes that it contains map data from Google without elaborating on the purpose or significance of the map.
This document appears to be a map image copyrighted by Google in 2017. It does not contain any textual content to summarize. The image shows map data but provides no other context or information.
The document appears to be a map image copyrighted by Google in 2017. It likely depicts geographical information but no other contextual details can be discerned from the limited information provided.
Ruhr.PY - Introducing Deep Learning with Keras and PythonShirin Elsinghorst
The document appears to be a map screenshot showing an area in San Francisco with various streets and landmarks labeled. It includes copyright information for Google Maps indicating it is a snapshot of their map data from 2017. The summary provides high-level information about the document being a map without including unnecessary details.
This document contains a map of an unspecified location. The map shows streets, buildings, and other geographical features. It includes a copyright notice indicating the map data was created by Google in 2019.
#ATAGTR2019 Presentation "Deliver with confidence using Consumer-Driven Contr...Agile Testing Alliance
Sundaresan Krishnaswami who is a Test Architect at IBM took a Session on "Deliver with confidence using Consumer-Driven Contracts" at Global Testing Retreat #ATAGTR2019
The document appears to be a map screenshot showing an area with various streets and points of interest. It includes common map elements such as a scale, compass, and labels for locations. The summary provides only high-level information as the document itself is primarily a visual map without additional context or details in text form.
This document contains a map of an unspecified location. The map shows streets, buildings, and other geographical features but does not provide any other context or details about the location depicted. In a few brief sentences, the document summarizes that it contains map data from Google without elaborating on the purpose or significance of the map.
This document appears to be a map image copyrighted by Google in 2017. It does not contain any textual content to summarize. The image shows map data but provides no other context or information.
The document appears to be a map image copyrighted by Google in 2017. It likely depicts geographical information but no other contextual details can be discerned from the limited information provided.
Ruhr.PY - Introducing Deep Learning with Keras and PythonShirin Elsinghorst
The document appears to be a map screenshot showing an area in San Francisco with various streets and landmarks labeled. It includes copyright information for Google Maps indicating it is a snapshot of their map data from 2017. The summary provides high-level information about the document being a map without including unnecessary details.
SAP webinar: Explaining Keras Image Classification Models with LIMEShirin Elsinghorst
Keras is a high-level open-source deep learning framework that by default works on top of TensorFlow. Keras is minimalistic, efficient and highly flexible because it works with a modular layer system to define, compile and fit neural networks. It has been written in Python but can also be used from within R. Because the underlying backend can be changed from TensorFlow to Theano and CNTK (with more options being developed right now) it is designed to be framework-independent. Models can be trained on CPU or GPU, locally or in the cloud.
I will show an example how to build an image classifier with Keras. We'll be using a convolutional neural net to classify fruits in images. But that's not all! We not only want to judge our black-box model based on accuracy and loss measures - we want to get a better understanding of how the model works. We will use an algorithm called LIME (local interpretable model-agnostic explanations) to find out what part of the different test images contributed most strongly to the classification that was made by our model. I will introduce LIME and explain how it works. And finally, I will show how to apply LIME to the image classifier we built before, as well as to a pretrained Imagenet model.
You will get:
* an introduction to Keras
* an overview about deep learning and neural nets
* a demo how to build an image classifier with Keras
* an introduction to explaining black box models, specifically to the LIME algorithm
* a demo how to apply LIME to explain the predictions of our own Keras image classifier, as well as of a pretrained Imagenet
Further Information:
* www.shirin-glander.de<http://www.shirin-glander.de>
* https://blog.codecentric.de/author/shirin-glander/
* www.youtube.com/codecentricAI
Google launched Maps to organize the world's information and make it universally accessible online. It collects vast amounts of data from map partners like government agencies to depict highways, roads, and businesses. Street View vehicles take 360-degree photos around the world to overlay on the base map. Satellite images are also incorporated from Google Earth. Location services and crowdsourced contributions from users help keep Maps updated in real-time with traffic conditions and locations.
Presentation from 2009 LandmanXchange Conference in Dallas, TX. Provides the concept and need for GIS and GPS in Land Services, Land Management, and Surface or ROW management.
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...Anita Graser
The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract information and knowledge. Exploratory data analysis tools for massive movement data are necessary to gain an understanding of our data, its biases and messiness and how they might affect our analyses. This talk presents methods for the exploration of movement patterns in massive quasi-continuous GPS tracking datasets, with examples focusing on international maritime vessel movements.
This document defines geographical information systems (GIS) and describes their key components and functions. GIS is defined as a system for capturing, storing, analyzing and managing data that is tied to specific locations. The key components of GIS are hardware, software, procedures, data and people. Hardware includes computers and input/output devices. Popular GIS software packages are listed. Procedures involve creating and editing maps and data. Data includes geospatial and attribute data from various sources. GIS has various functions including data processing, analysis, display and database management to support decision making.
GIS Application in Water Resource Management by Engr. Ehtisham HabibEhtisham Habib
GIS (Geographic Information System): computer information system that can input, store, manipulate, analyze, and display geographically referenced (spatial) data to support decision making processes.
Here we have discussed some general GIS application in water resource management.
This document discusses the use of Geographic Information Systems (GIS) in civil engineering applications. It provides examples of how several engineering consulting firms, including Stantec, Byers Engineering, and Rick Engineering utilize GIS technologies. It also briefly describes graduate degree programs in GIS at the University of Colorado Denver and what certification as a GIS Professional (GISP) involves.
Parth Khare has a MSC in Computational Analysis of Public Policy from the University of Chicago and an MSC in Economics from IGIDR, RBI. He has over 6 years of experience in data science, machine learning, and geospatial analysis. His technical skills include Python, R, SQL, GIS tools, and machine learning algorithms. He has worked as a consultant for the Government of India's Ministry of Finance and the World Bank. At Nielsen, he led the development of a geospatial analysis tool called The GRID. His publications include analyses of climate change impacts on Indian agriculture and redefining India's urbanization rate using satellite imagery.
GIS is a computer-based tool used and managed by people to efficiently capture, store, integrate, analyze and display spatial (geographically referenced) data & associated attribute data
This document provides an overview of geographical information systems (GIS), including definitions of GIS, its basic principles and components, data types used in GIS (vector and raster), advantages and applications of GIS. Specifically, it defines GIS as a computer system for capturing, storing, analyzing and displaying spatially referenced data. It describes the key principles of data capture, management, analysis and visualization. It outlines the typical hardware, software and data components of a GIS, and differentiates between vector and raster data types. Finally, it discusses advantages like accurate representation and analysis, and applications across different domains.
This document discusses the geographic information system (GIS) used by the Seberang Perai Municipal Council (MPSP) in Penang, Malaysia. It provides background on MPSP and the development of its GIS since 2004. The GIS aims to provide a comprehensive geospatial database for data sharing between government departments. It is used for town planning purposes like structure plans, local plans, and zoning checks. The document outlines MPSP GIS's current functions and tools, as well as visions for future improvements like centralized data integration and 3D modeling capabilities.
Geographic Information System (GIS) is a computer system for capturing, storing, querying, analyzing, and displaying geospatial data. A GIS combines spatial data, like location coordinates, with attribute data that describes features. Some key components of a GIS include GIS software, computer hardware, data, users, and infrastructure. GIS allows users to explore data in both conventional and geographic ways, enabling holistic and location-based analysis. Typical applications of GIS include environmental assessments, land use mapping, health care analysis, natural resource management, urban planning, and more.
A GIS has five key components: hardware, software, data, people, and methods. Hardware is the computer system that runs GIS software. GIS software provides tools to store, analyze, and display geographic data. Data is perhaps the most important component and can come from in-house collection, commercial providers, or other existing databases. People are needed to manage the system and apply it to problems. A successful GIS operates according to implementation plans and business rules unique to each organization.
Mapping Brazil in Scale 1:250.000 - A RealitySafe Software
This session aims to present the BC250 project of IBGE. This project generated a new digital mapping of the whole Brazilian territory in a 1:250.000 scale with the aid of orbital sensors, DEM and FME. The Geographic Information Systems (GIS) and Remote Sensing are important tools to systematic mapping, these kinds of technologies contributed to increase the production and aquisition of new data faster than used to be. This new digital mapping is the first one provided on the standard called EDGV. This project is part of a new structure of collect, integration and store geospatial data, which in Brazil it is call INDE. The project started in 2008 and on October's 2013, with help of FME that provided workflows capable to create a digital continuous base, the whole country is avaiable on the internet. The 1:250.000 scale is important because it has the power of subsidize the regional planning and helps on studies and projects that’s involve environmental polices.
This document provides an introduction to geographic information systems (GIS). It defines GIS as a system that integrates hardware, software, and data to capture, manage, analyze and display geographical information. The key components of GIS are described, including spatial data formats like raster and vector data. Examples of how GIS is used are given, such as by utility companies, for transportation, agriculture, and climate change analysis. The document also discusses how GIS can help address climate change through applications like monitoring deforestation, climate modeling, and determining best locations for alternative energy. It concludes by noting several organizations in Pakistan that are currently using GIS.
This document summarizes a mapping and charting online tool that models the water-food-energy nexus in the Arab world, using Egypt as a case study. The tool processes and maps tabular and spatial data from multiple sources related to agriculture, food and nutrition security. It allows for time series visualization and multi-layer mapping of indicators like wheat yields and access to improved water sources. The tool is intended to aid evidence-based policymaking and track country progress on issues like the Sustainable Development Goals.
Computer and GIS systems allow for the identification and analysis of plant and human health data. Computers can store taxonomic keys and guide users to identify unknown plants or health issues through a series of questions. Identification can also be done by comparing an entire description of unknown samples to stored descriptions. Advanced recognition systems use optical scanners to observe and compare features to known samples. Geographic Information Systems (GIS) integrate hardware, software, data, people, and procedures to capture, store, manipulate, analyze, and display spatial information for decision making. GIS processes involve capturing, converting, and displaying spatial data on computers along with data analysis and map creation.
SAP webinar: Explaining Keras Image Classification Models with LIMEShirin Elsinghorst
Keras is a high-level open-source deep learning framework that by default works on top of TensorFlow. Keras is minimalistic, efficient and highly flexible because it works with a modular layer system to define, compile and fit neural networks. It has been written in Python but can also be used from within R. Because the underlying backend can be changed from TensorFlow to Theano and CNTK (with more options being developed right now) it is designed to be framework-independent. Models can be trained on CPU or GPU, locally or in the cloud.
I will show an example how to build an image classifier with Keras. We'll be using a convolutional neural net to classify fruits in images. But that's not all! We not only want to judge our black-box model based on accuracy and loss measures - we want to get a better understanding of how the model works. We will use an algorithm called LIME (local interpretable model-agnostic explanations) to find out what part of the different test images contributed most strongly to the classification that was made by our model. I will introduce LIME and explain how it works. And finally, I will show how to apply LIME to the image classifier we built before, as well as to a pretrained Imagenet model.
You will get:
* an introduction to Keras
* an overview about deep learning and neural nets
* a demo how to build an image classifier with Keras
* an introduction to explaining black box models, specifically to the LIME algorithm
* a demo how to apply LIME to explain the predictions of our own Keras image classifier, as well as of a pretrained Imagenet
Further Information:
* www.shirin-glander.de<http://www.shirin-glander.de>
* https://blog.codecentric.de/author/shirin-glander/
* www.youtube.com/codecentricAI
Google launched Maps to organize the world's information and make it universally accessible online. It collects vast amounts of data from map partners like government agencies to depict highways, roads, and businesses. Street View vehicles take 360-degree photos around the world to overlay on the base map. Satellite images are also incorporated from Google Earth. Location services and crowdsourced contributions from users help keep Maps updated in real-time with traffic conditions and locations.
Presentation from 2009 LandmanXchange Conference in Dallas, TX. Provides the concept and need for GIS and GPS in Land Services, Land Management, and Surface or ROW management.
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...Anita Graser
The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract information and knowledge. Exploratory data analysis tools for massive movement data are necessary to gain an understanding of our data, its biases and messiness and how they might affect our analyses. This talk presents methods for the exploration of movement patterns in massive quasi-continuous GPS tracking datasets, with examples focusing on international maritime vessel movements.
This document defines geographical information systems (GIS) and describes their key components and functions. GIS is defined as a system for capturing, storing, analyzing and managing data that is tied to specific locations. The key components of GIS are hardware, software, procedures, data and people. Hardware includes computers and input/output devices. Popular GIS software packages are listed. Procedures involve creating and editing maps and data. Data includes geospatial and attribute data from various sources. GIS has various functions including data processing, analysis, display and database management to support decision making.
GIS Application in Water Resource Management by Engr. Ehtisham HabibEhtisham Habib
GIS (Geographic Information System): computer information system that can input, store, manipulate, analyze, and display geographically referenced (spatial) data to support decision making processes.
Here we have discussed some general GIS application in water resource management.
This document discusses the use of Geographic Information Systems (GIS) in civil engineering applications. It provides examples of how several engineering consulting firms, including Stantec, Byers Engineering, and Rick Engineering utilize GIS technologies. It also briefly describes graduate degree programs in GIS at the University of Colorado Denver and what certification as a GIS Professional (GISP) involves.
Parth Khare has a MSC in Computational Analysis of Public Policy from the University of Chicago and an MSC in Economics from IGIDR, RBI. He has over 6 years of experience in data science, machine learning, and geospatial analysis. His technical skills include Python, R, SQL, GIS tools, and machine learning algorithms. He has worked as a consultant for the Government of India's Ministry of Finance and the World Bank. At Nielsen, he led the development of a geospatial analysis tool called The GRID. His publications include analyses of climate change impacts on Indian agriculture and redefining India's urbanization rate using satellite imagery.
GIS is a computer-based tool used and managed by people to efficiently capture, store, integrate, analyze and display spatial (geographically referenced) data & associated attribute data
This document provides an overview of geographical information systems (GIS), including definitions of GIS, its basic principles and components, data types used in GIS (vector and raster), advantages and applications of GIS. Specifically, it defines GIS as a computer system for capturing, storing, analyzing and displaying spatially referenced data. It describes the key principles of data capture, management, analysis and visualization. It outlines the typical hardware, software and data components of a GIS, and differentiates between vector and raster data types. Finally, it discusses advantages like accurate representation and analysis, and applications across different domains.
This document discusses the geographic information system (GIS) used by the Seberang Perai Municipal Council (MPSP) in Penang, Malaysia. It provides background on MPSP and the development of its GIS since 2004. The GIS aims to provide a comprehensive geospatial database for data sharing between government departments. It is used for town planning purposes like structure plans, local plans, and zoning checks. The document outlines MPSP GIS's current functions and tools, as well as visions for future improvements like centralized data integration and 3D modeling capabilities.
Geographic Information System (GIS) is a computer system for capturing, storing, querying, analyzing, and displaying geospatial data. A GIS combines spatial data, like location coordinates, with attribute data that describes features. Some key components of a GIS include GIS software, computer hardware, data, users, and infrastructure. GIS allows users to explore data in both conventional and geographic ways, enabling holistic and location-based analysis. Typical applications of GIS include environmental assessments, land use mapping, health care analysis, natural resource management, urban planning, and more.
A GIS has five key components: hardware, software, data, people, and methods. Hardware is the computer system that runs GIS software. GIS software provides tools to store, analyze, and display geographic data. Data is perhaps the most important component and can come from in-house collection, commercial providers, or other existing databases. People are needed to manage the system and apply it to problems. A successful GIS operates according to implementation plans and business rules unique to each organization.
Mapping Brazil in Scale 1:250.000 - A RealitySafe Software
This session aims to present the BC250 project of IBGE. This project generated a new digital mapping of the whole Brazilian territory in a 1:250.000 scale with the aid of orbital sensors, DEM and FME. The Geographic Information Systems (GIS) and Remote Sensing are important tools to systematic mapping, these kinds of technologies contributed to increase the production and aquisition of new data faster than used to be. This new digital mapping is the first one provided on the standard called EDGV. This project is part of a new structure of collect, integration and store geospatial data, which in Brazil it is call INDE. The project started in 2008 and on October's 2013, with help of FME that provided workflows capable to create a digital continuous base, the whole country is avaiable on the internet. The 1:250.000 scale is important because it has the power of subsidize the regional planning and helps on studies and projects that’s involve environmental polices.
This document provides an introduction to geographic information systems (GIS). It defines GIS as a system that integrates hardware, software, and data to capture, manage, analyze and display geographical information. The key components of GIS are described, including spatial data formats like raster and vector data. Examples of how GIS is used are given, such as by utility companies, for transportation, agriculture, and climate change analysis. The document also discusses how GIS can help address climate change through applications like monitoring deforestation, climate modeling, and determining best locations for alternative energy. It concludes by noting several organizations in Pakistan that are currently using GIS.
This document summarizes a mapping and charting online tool that models the water-food-energy nexus in the Arab world, using Egypt as a case study. The tool processes and maps tabular and spatial data from multiple sources related to agriculture, food and nutrition security. It allows for time series visualization and multi-layer mapping of indicators like wheat yields and access to improved water sources. The tool is intended to aid evidence-based policymaking and track country progress on issues like the Sustainable Development Goals.
Computer and GIS systems allow for the identification and analysis of plant and human health data. Computers can store taxonomic keys and guide users to identify unknown plants or health issues through a series of questions. Identification can also be done by comparing an entire description of unknown samples to stored descriptions. Advanced recognition systems use optical scanners to observe and compare features to known samples. Geographic Information Systems (GIS) integrate hardware, software, data, people, and procedures to capture, store, manipulate, analyze, and display spatial information for decision making. GIS processes involve capturing, converting, and displaying spatial data on computers along with data analysis and map creation.
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...SocialHRCamp
Speaker: Erin Patchell
Imagine a world where the needs, experiences, and well-being of people— employees and customers — are the focus of integrating technology into our businesses. As HR professionals, what tools exist to leverage AI and technology as a force for both people and profit? How do we influence a culture that takes a human-centred lens?
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...SocialHRCamp
Speaker: Kinga Petrovai
You have the new AI tools, but how can you help your team use them to their full potential? As technology is changing daily, it’s hard to learn and keep up with the latest developments. Help your team amplify their learning with a new collaborative learning approach called the Learning Hive.
This session outlines the Learning Hive approach that sets up collaborations that foster great learning without the need for L&D to produce content. The Learning Hive enables effective knowledge sharing where employees learn from each other and apply this learning to their work, all while building stronger community bonds. This approach amplifies the impact of other learning resources and fosters a culture of continuous learning within the organization.
Building Meaningful Talent Communities with AI - Heather Pysklywec - SocialHR...SocialHRCamp
Speaker: Heather Pysklywec
Digital transformation has transformed the talent acquisition landscape over the past ten years. Now, with the introduction of artificial intelligence, HR professionals are faced with a new suite of tools to choose from. The question remains, where to start, what to be aware of, and what tools will complement the talent acquisition strategy of the organization? This session will give a summary of helpful AI tools in the industry, explain how they can fit into existing systems, and encourage attendees to explore if AI tools can improve their process.
How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...SocialHRCamp
Speaker: Lydia Di Francesco
In this workshop, participants will delve into the realm of AI and its profound potential to revolutionize employee wellness initiatives. From stress management to fostering work-life harmony, AI offers a myriad of innovative tools and strategies that can significantly enhance the wellbeing of employees in any organization. Attendees will learn how to effectively leverage AI technologies to cultivate a healthier, happier, and more productive workforce. Whether it's utilizing AI-powered chatbots for mental health support, implementing data analytics to identify internal, systemic risk factors, or deploying personalized wellness apps, this workshop will equip participants with actionable insights and best practices to harness the power of AI for boosting employee wellness. Join us and discover how AI can be a strategic partner towards a culture of wellbeing and resilience in the workplace.
The Rules Do Apply: Navigating HR ComplianceAggregage
https://www.humanresourcestoday.com/frs/26903483/the-rules-do-apply--navigating-hr-compliance
HR Compliance is like a giant game of whack-a-mole. Once you think your company is compliant with all policies and procedures documented and in place, there’s a new or amended law, regulation, or final rule that pops up landing you back at ‘start.’ There are shifts, interpretations, and balancing acts to understanding compliance changes. Keeping up is not easy and it’s very time consuming.
This is a particular pain point for small HR departments, or HR departments of 1, that lack compliance teams and in-house labor attorneys. So, what do you do?
The goal of this webinar is to make you smarter in knowing what you should be focused on and the questions you should be asking. It will also provide you with resources for making compliance more manageable.
Objectives:
• Understand the regulatory landscape, including labor laws at the local, state, and federal levels
• Best practices for developing, implementing, and maintaining effective compliance programs
• Resources and strategies for staying informed about changes to labor laws, regulations, and compliance requirements
Watch this expert-led webinar to learn effective tactics that high-volume hiring teams can use right now to attract top talent into their pipeline faster.
Your Guide To Finding The Perfect Part-Time JobSnapJob
Part-time workers account for a significant part of the workforce, including individuals of all ages. A lot of industries hire part-time workers in different capacities, including temporary or seasonal openings, ranging from managerial to entry-level positions. However, many people still doubt taking on these roles and wonder how a temporary part-time job can help them achieve their long-term goals.
Start Smart: Learning the Ropes of AI for HR - Celine Maasland - SocialHRCamp...SocialHRCamp
Speaker: Celine Maasland
In this session, we’ll demystify the process of integrating artificial intelligence into everyday HR tasks. This presentation will guide HR professionals through the initial steps of identifying AI opportunities, choosing the right tools, and effectively implementing technology to streamline operations. Additionally, we’ll delve into the specialized skill of prompt engineering, demonstrating how to craft precise prompts to enhance interactions between AI systems and employees. Whether you’re new to AI or looking to refine some of your existing strategies, this session will equip you with the knowledge and tools to harness AI’s potential in transforming HR functions.
AI Considerations in HR Governance - Shahzad Khan - SocialHRCamp Ottawa 2024SocialHRCamp
Speaker: Shahzad Khan
This session on "AI Considerations in Human Resources Governance" explores the integration of Artificial Intelligence (AI) into HR practices, examining its history, current applications, and the governance issues it raises. A framework to view Government in modern organizations is provided, along with the transformation and key considerations associated with each element of this framework, drawing lessons from other AI projects to illustrate these aspects. We then dive into AI's use in resume screening, talent acquisition, employee retention, and predictive analytics for workforce management. Highlighting modern governance challenges, it addresses AI's impact on the gig economy as well as DEI. We then conclude with future trends in AI for HR, offering strategic recommendations for incorporating AI in HR governance.