General practitioners face different kinds of emergencies every day. They are the first contact care providers. That is why management of emergencies is an important part of primary care.
This document provides an overview of data and machine learning topics relevant for product managers, including user segmentation, behavior analysis, A/B testing, and exploratory data analysis. It discusses how data insights can inform decision making and gives examples of data products like recommendation systems, fraud detection, and content filtering. Key metrics like p-values and concepts like the Bayesian theorem are defined. References for further reading on using machine learning and statistics in product management are also included.
This document outlines a 6-point checklist for testing an organization's Emergency Response Plan (ERP). The checklist includes: 1) outlining goals and objectives, 2) clarifying roles, 3) notifying staff (or not), 4) creating a detailed scenario and narrative, 5) organizing necessary resources, and 6) setting expectations that the test be treated as a real emergency. Following these steps helps ensure the ERP test is productive and identifies any weaknesses or gaps in the plan.
1) Cost cutting is not always the best approach to managing overhead costs and can hamper a practice's ability to provide quality care if taken too far.
2) A better approach is to view overhead as an investment rather than an expense and structure it to maximize physician productivity through well-staffed exam rooms and support personnel.
3) Overhead starts very high in the morning but decreases throughout the day as fixed costs are covered, allowing later patient revenues to generate higher profit margins. Practices should aim to increase late-day revenues.
The document discusses how artificial intelligence and digital technologies can transform healthcare outcomes. It describes GE Healthcare's digital ecosystem and cloud-based solutions that use analytics and machine learning to improve therapy innovation, healthcare access, and integrated care. Examples include using digital twins and command centers to optimize operations and patient flows, and applying artificial intelligence to radiology workflows and other clinical areas to enhance productivity, decision making, and patient experiences.
The document discusses biometric scan technologies as a more advanced and reliable authentication method compared to passwords and passcodes. Biometric scans use unique physical attributes like fingerprints, iris scans, or facial recognition for authentication. This helps overcome weaknesses of passwords, like being forgotten or shared. The document argues biometric scans provide stronger authentication through unique physical traits, improving security for computers, phones, and other devices.
Make clinical prediction models great againBenVanCalster
This document discusses developing and validating clinical prediction models. It notes that when developing models, the objective and available predictors must be clearly defined. Overfitting should be avoided by not ignoring information or using flexible algorithms without sufficient data. When validating models, calibration is essential to assess and heterogeneity between locations and over time is expected, so single validation studies provide limited information. Machine learning is popular but concerns include poor study design and lack of clarity around methodology, as flexible algorithms require large, high-quality datasets to achieve benefits over traditional statistics.
Learning Outcomes:
- Understand Chaos Engineering
- Application of real examples and how they could be internalized for an organization
- Knowledge around how to plan to implement Chaos Engineering
Ideas around business metrics to use
The discipline of Chaos Engineering is to create ‘random’ scenarios (eventually in an automated fashion) and build the resiliency into the system as a whole, while increasing the velocity at which value is delivered to consumers. In this talk, we will discuss the principles for Chaos Engineering, how to plan for introducing chaos in your organizations and why a culture of DevOps is essential for it to succeed. We will also talk about where chaos experiments should be run, using business metrics to measure an experiment’s results, permeating the results to all teams as well as how to scale it across a larger organization by enabling each team to run their own experiments.
Mednology was established in 2014 to develop nanotechnology-based cancer treatments. Their leading product, Nanites, will use nanobots to eliminate cancer cells without invasive surgery or harmful side effects from chemotherapy. Within a decade, Nanites aims to have a successful prototype ready for market by 2025 to treat melanoma cancer. Mednology expects to capture 10% of the cancer treatment market by offering a highly effective and reliable minimally-invasive procedure. Unlike other treatments, Nanites will completely eliminate cancer without long recovery times for patients or debilitating side effects.
This document provides an overview of data and machine learning topics relevant for product managers, including user segmentation, behavior analysis, A/B testing, and exploratory data analysis. It discusses how data insights can inform decision making and gives examples of data products like recommendation systems, fraud detection, and content filtering. Key metrics like p-values and concepts like the Bayesian theorem are defined. References for further reading on using machine learning and statistics in product management are also included.
This document outlines a 6-point checklist for testing an organization's Emergency Response Plan (ERP). The checklist includes: 1) outlining goals and objectives, 2) clarifying roles, 3) notifying staff (or not), 4) creating a detailed scenario and narrative, 5) organizing necessary resources, and 6) setting expectations that the test be treated as a real emergency. Following these steps helps ensure the ERP test is productive and identifies any weaknesses or gaps in the plan.
1) Cost cutting is not always the best approach to managing overhead costs and can hamper a practice's ability to provide quality care if taken too far.
2) A better approach is to view overhead as an investment rather than an expense and structure it to maximize physician productivity through well-staffed exam rooms and support personnel.
3) Overhead starts very high in the morning but decreases throughout the day as fixed costs are covered, allowing later patient revenues to generate higher profit margins. Practices should aim to increase late-day revenues.
The document discusses how artificial intelligence and digital technologies can transform healthcare outcomes. It describes GE Healthcare's digital ecosystem and cloud-based solutions that use analytics and machine learning to improve therapy innovation, healthcare access, and integrated care. Examples include using digital twins and command centers to optimize operations and patient flows, and applying artificial intelligence to radiology workflows and other clinical areas to enhance productivity, decision making, and patient experiences.
The document discusses biometric scan technologies as a more advanced and reliable authentication method compared to passwords and passcodes. Biometric scans use unique physical attributes like fingerprints, iris scans, or facial recognition for authentication. This helps overcome weaknesses of passwords, like being forgotten or shared. The document argues biometric scans provide stronger authentication through unique physical traits, improving security for computers, phones, and other devices.
Make clinical prediction models great againBenVanCalster
This document discusses developing and validating clinical prediction models. It notes that when developing models, the objective and available predictors must be clearly defined. Overfitting should be avoided by not ignoring information or using flexible algorithms without sufficient data. When validating models, calibration is essential to assess and heterogeneity between locations and over time is expected, so single validation studies provide limited information. Machine learning is popular but concerns include poor study design and lack of clarity around methodology, as flexible algorithms require large, high-quality datasets to achieve benefits over traditional statistics.
Learning Outcomes:
- Understand Chaos Engineering
- Application of real examples and how they could be internalized for an organization
- Knowledge around how to plan to implement Chaos Engineering
Ideas around business metrics to use
The discipline of Chaos Engineering is to create ‘random’ scenarios (eventually in an automated fashion) and build the resiliency into the system as a whole, while increasing the velocity at which value is delivered to consumers. In this talk, we will discuss the principles for Chaos Engineering, how to plan for introducing chaos in your organizations and why a culture of DevOps is essential for it to succeed. We will also talk about where chaos experiments should be run, using business metrics to measure an experiment’s results, permeating the results to all teams as well as how to scale it across a larger organization by enabling each team to run their own experiments.
Mednology was established in 2014 to develop nanotechnology-based cancer treatments. Their leading product, Nanites, will use nanobots to eliminate cancer cells without invasive surgery or harmful side effects from chemotherapy. Within a decade, Nanites aims to have a successful prototype ready for market by 2025 to treat melanoma cancer. Mednology expects to capture 10% of the cancer treatment market by offering a highly effective and reliable minimally-invasive procedure. Unlike other treatments, Nanites will completely eliminate cancer without long recovery times for patients or debilitating side effects.
The 2012 Fall Newsletter from CT Physicians' Services provides updates on various topics for medical practices. In the opening message, the Executive Director discusses the challenges facing medical practices from increasing costs and lower reimbursements, forcing some to consolidate. Despite these issues, there remains a strong demand to advance healthcare through technology. The newsletter then provides tips on using iPads in a medical practice, details on the requirements for Meaningful Use Stage 2, and how practices can benefit from implementing a data warehouse and analytics program to gain insights into costs and outcomes.
Predicting the Future of Predictive Analytics in HealthcareDale Sanders
This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.
Big data cognitive computing and digital transformationPietro Leo
Big Data + Analytics + Cognitive Computing + New Business Models + HUMANS! =
rumbling around the digital transformation phenomena that is impacting our jobs.
Smartcon 2015 – Automated Decisions in the Supply ChainLars Trieloff
This document discusses the process of automating decisions using predictive applications and machine learning models. It begins by outlining how predictive applications work by collecting and storing data, analyzing correlations, building decision models, and deciding and testing outcomes. The document then discusses challenges like predicting demand and order quantities. It provides an example of using sales forecasts and probability distributions to determine optimal order amounts while minimizing stock-out risks. Finally, it discusses how enterprises adopt predictive applications, addressing concerns around data availability, predictability, understandability, and executability, and outlines the potential financial impacts.
From the clinic to the cfo adaptive trials and financial decision makingCytel USA
This document discusses how adaptive trial designs can be used to integrate clinical trial planning with financial decision making. It presents two case studies:
1) A biotech company used an adaptive design for a pivotal trial of an AML drug to reduce upfront costs and attract external investment. Interim results determined whether to increase the sample size. This improved the drug's risk/reward profile.
2) Hypothetical options for developing a niche oncology asset were evaluated. Scenarios including group sequential designs with interim analyses provided trade-offs between probability of success, time, cost, and expected value to discuss with management. Integrating financial metrics into adaptive trial design allows more flexible, "investable" research options.
The document summarizes Diagnostic Quality Model Development Group's new 3D modeling capability for medical imaging centers. It provides details on how the technology works, its benefits for radiologists, surgeons, and patients, expected revenue from its use, and testimonials from medical professionals on the advisory board. Imaging centers can partner with DQMDG to set up the 3D modeling program in their facility for around $106,500, which could generate $219,000-$599,000 in additional annual revenue from more scans, new patient referrals, and 3D model fees.
Is Bigger Data Really Better? 10 Facts from Theory and PracticeDataWorks Summit
1. The document discusses 10 facts from theory and practice about whether bigger data is better for predictive modeling.
2. It argues that more training data generally increases predictive power by allowing for more sophisticated models with more features.
3. However, simply adding more data may not help if other errors from using too simple of models or incomplete model optimization are dominant. The key is to minimize all sources of error simultaneously.
This document discusses strategies for improving clinical trial site performance through quantifying site metrics and providing feedback. It recommends generating site-specific performance reports using data from the IVRS, calculating metrics like screening and enrollment rates. These reports should be shared with sites via email on a regular basis to start evidence-based conversations about performance. It also suggests using a web-based platform to provide ongoing feedback through features like leaderboards, awards, and educational resources in order to build relationships with sites and motivate improved performance. While data is important, it's also critical to understand the human factors influencing performance and support sites in addressing challenges.
Is 100 the New 60? Living Longer, Living Better. What's on the Horizon?Christopher Mohritz
The race for extending human life is heating up. Every day, new technologies are emerging with the potential to meaningfully extend our lifespan - and boost the quality of that lifespan.
Join us for an introduction into some of the longevity-related technologies headed our way, including some potential opportunities for budding entrepreneurs.
Creating Chaos - Engineering for the UnexpectedShahzad Zafar
The document discusses chaos engineering and how it can be used to test the resilience of distributed systems. It defines chaos engineering as introducing real-world failures or anomalies into systems to evaluate their response. Some key aspects covered include having clear hypotheses for experiments, using real failure scenarios, automating experiments, limiting their scope, and ideally running them in a production environment. The document provides examples of chaos engineering experiments and discusses how organizations can start implementing it, scaling it over time, and integrating it with DevOps practices.
This document discusses several topics related to ambulatory surgery centers (ASCs). It begins by welcoming readers and discussing the benefits of not compromising excellence when evaluating IT systems for ASCs. Systems not designed for ASCs can compromise revenue, costs, and patient care. The document then discusses an upcoming event schedule and introduces the concept of cloud computing, which allows ASCs affordable access to clinical and business software without large upfront hardware costs. It concludes by promoting the products and services of SourceMedical, the largest provider of outpatient IT solutions.
T. Scott Clendaniel provides a complete guide to creating and implementing your analytics strategy. Includes the Accenture model, a wide variety of Tips and Tricks, and several bonuses in the appendix.
The document discusses intuitive healthcare technology and how it can be implemented effectively. It provides examples of how different organizations have used technologies like tablets, digital pens, voice recognition software and surface computing to improve clinician efficiency and patient safety and outcomes. It emphasizes the importance of selecting the right technology for the intended users and tasks, and considering a balanced approach using multiple complementary technologies instead of focusing on one platform alone.
Special Report: Getting the Optimal Return on X-ray EquipmentCarestream
Radiology administrators need to meticulously analyze their spending to get the best possible return on their investment in medical imaging equipment. In this special report, we explore several approaches to get the maximum return on this important capital investment.
Welcome to the M Lab™ Collaboration Centers – where customers can use non-GMP lab spaces to operate equipment, evaluate processes and receive real-time technical support without disrupting production.
Plan your visit: www.merckmillipore.com/mlab
The document discusses overcoming data center outages. It summarizes that according to a Ponemon Institute survey, unplanned power supply (UPS) failures remain the leading cause of unexpected data center outages. The survey also found that companies lose on average $8851 per minute during an outage. Common causes of outages included exceeding UPS capacity, human error, and UPS equipment failures. The document recommends implementing standardized operational procedures, using data center infrastructure management tools, and having robust maintenance and lifecycle programs to help prevent unplanned outages.
The document discusses athenahealth's More Disruption Please (MDP) initiative, which aims to address issues in the healthcare system through collaboration and an open platform. MDP creates a marketplace of solutions, community for innovators, and incubator for new ideas. It highlights growing problems like physician burnout and frustration with electronic health records that take time away from patient care. The hackathon challenges participants to develop solutions that can help alleviate burdens on doctors and help restore joy in practicing medicine.
This document discusses how artificial intelligence could benefit the healthcare industry. It describes how AI can be used to examine large amounts of medical data like X-rays and scans, help arrive at diagnoses by analyzing past patient data, and minimize minor diagnostic errors. Specific AI techniques discussed include support vector machines for classification and regression, natural language processing to analyze medical texts and reports, neural networks to identify relationships between variables and outcomes, and convolutional neural networks for medical imaging analysis. Examples are given of how these techniques have achieved high accuracy in detecting lung tumors and cerebral aneurysms. The document also discusses how Google's DeepMind research has advanced protein structure prediction and could help understand genetic causes of disease. In closing, it notes machine learning can speed up drug
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
The 2012 Fall Newsletter from CT Physicians' Services provides updates on various topics for medical practices. In the opening message, the Executive Director discusses the challenges facing medical practices from increasing costs and lower reimbursements, forcing some to consolidate. Despite these issues, there remains a strong demand to advance healthcare through technology. The newsletter then provides tips on using iPads in a medical practice, details on the requirements for Meaningful Use Stage 2, and how practices can benefit from implementing a data warehouse and analytics program to gain insights into costs and outcomes.
Predicting the Future of Predictive Analytics in HealthcareDale Sanders
This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.
Big data cognitive computing and digital transformationPietro Leo
Big Data + Analytics + Cognitive Computing + New Business Models + HUMANS! =
rumbling around the digital transformation phenomena that is impacting our jobs.
Smartcon 2015 – Automated Decisions in the Supply ChainLars Trieloff
This document discusses the process of automating decisions using predictive applications and machine learning models. It begins by outlining how predictive applications work by collecting and storing data, analyzing correlations, building decision models, and deciding and testing outcomes. The document then discusses challenges like predicting demand and order quantities. It provides an example of using sales forecasts and probability distributions to determine optimal order amounts while minimizing stock-out risks. Finally, it discusses how enterprises adopt predictive applications, addressing concerns around data availability, predictability, understandability, and executability, and outlines the potential financial impacts.
From the clinic to the cfo adaptive trials and financial decision makingCytel USA
This document discusses how adaptive trial designs can be used to integrate clinical trial planning with financial decision making. It presents two case studies:
1) A biotech company used an adaptive design for a pivotal trial of an AML drug to reduce upfront costs and attract external investment. Interim results determined whether to increase the sample size. This improved the drug's risk/reward profile.
2) Hypothetical options for developing a niche oncology asset were evaluated. Scenarios including group sequential designs with interim analyses provided trade-offs between probability of success, time, cost, and expected value to discuss with management. Integrating financial metrics into adaptive trial design allows more flexible, "investable" research options.
The document summarizes Diagnostic Quality Model Development Group's new 3D modeling capability for medical imaging centers. It provides details on how the technology works, its benefits for radiologists, surgeons, and patients, expected revenue from its use, and testimonials from medical professionals on the advisory board. Imaging centers can partner with DQMDG to set up the 3D modeling program in their facility for around $106,500, which could generate $219,000-$599,000 in additional annual revenue from more scans, new patient referrals, and 3D model fees.
Is Bigger Data Really Better? 10 Facts from Theory and PracticeDataWorks Summit
1. The document discusses 10 facts from theory and practice about whether bigger data is better for predictive modeling.
2. It argues that more training data generally increases predictive power by allowing for more sophisticated models with more features.
3. However, simply adding more data may not help if other errors from using too simple of models or incomplete model optimization are dominant. The key is to minimize all sources of error simultaneously.
This document discusses strategies for improving clinical trial site performance through quantifying site metrics and providing feedback. It recommends generating site-specific performance reports using data from the IVRS, calculating metrics like screening and enrollment rates. These reports should be shared with sites via email on a regular basis to start evidence-based conversations about performance. It also suggests using a web-based platform to provide ongoing feedback through features like leaderboards, awards, and educational resources in order to build relationships with sites and motivate improved performance. While data is important, it's also critical to understand the human factors influencing performance and support sites in addressing challenges.
Is 100 the New 60? Living Longer, Living Better. What's on the Horizon?Christopher Mohritz
The race for extending human life is heating up. Every day, new technologies are emerging with the potential to meaningfully extend our lifespan - and boost the quality of that lifespan.
Join us for an introduction into some of the longevity-related technologies headed our way, including some potential opportunities for budding entrepreneurs.
Creating Chaos - Engineering for the UnexpectedShahzad Zafar
The document discusses chaos engineering and how it can be used to test the resilience of distributed systems. It defines chaos engineering as introducing real-world failures or anomalies into systems to evaluate their response. Some key aspects covered include having clear hypotheses for experiments, using real failure scenarios, automating experiments, limiting their scope, and ideally running them in a production environment. The document provides examples of chaos engineering experiments and discusses how organizations can start implementing it, scaling it over time, and integrating it with DevOps practices.
This document discusses several topics related to ambulatory surgery centers (ASCs). It begins by welcoming readers and discussing the benefits of not compromising excellence when evaluating IT systems for ASCs. Systems not designed for ASCs can compromise revenue, costs, and patient care. The document then discusses an upcoming event schedule and introduces the concept of cloud computing, which allows ASCs affordable access to clinical and business software without large upfront hardware costs. It concludes by promoting the products and services of SourceMedical, the largest provider of outpatient IT solutions.
T. Scott Clendaniel provides a complete guide to creating and implementing your analytics strategy. Includes the Accenture model, a wide variety of Tips and Tricks, and several bonuses in the appendix.
The document discusses intuitive healthcare technology and how it can be implemented effectively. It provides examples of how different organizations have used technologies like tablets, digital pens, voice recognition software and surface computing to improve clinician efficiency and patient safety and outcomes. It emphasizes the importance of selecting the right technology for the intended users and tasks, and considering a balanced approach using multiple complementary technologies instead of focusing on one platform alone.
Special Report: Getting the Optimal Return on X-ray EquipmentCarestream
Radiology administrators need to meticulously analyze their spending to get the best possible return on their investment in medical imaging equipment. In this special report, we explore several approaches to get the maximum return on this important capital investment.
Welcome to the M Lab™ Collaboration Centers – where customers can use non-GMP lab spaces to operate equipment, evaluate processes and receive real-time technical support without disrupting production.
Plan your visit: www.merckmillipore.com/mlab
The document discusses overcoming data center outages. It summarizes that according to a Ponemon Institute survey, unplanned power supply (UPS) failures remain the leading cause of unexpected data center outages. The survey also found that companies lose on average $8851 per minute during an outage. Common causes of outages included exceeding UPS capacity, human error, and UPS equipment failures. The document recommends implementing standardized operational procedures, using data center infrastructure management tools, and having robust maintenance and lifecycle programs to help prevent unplanned outages.
The document discusses athenahealth's More Disruption Please (MDP) initiative, which aims to address issues in the healthcare system through collaboration and an open platform. MDP creates a marketplace of solutions, community for innovators, and incubator for new ideas. It highlights growing problems like physician burnout and frustration with electronic health records that take time away from patient care. The hackathon challenges participants to develop solutions that can help alleviate burdens on doctors and help restore joy in practicing medicine.
This document discusses how artificial intelligence could benefit the healthcare industry. It describes how AI can be used to examine large amounts of medical data like X-rays and scans, help arrive at diagnoses by analyzing past patient data, and minimize minor diagnostic errors. Specific AI techniques discussed include support vector machines for classification and regression, natural language processing to analyze medical texts and reports, neural networks to identify relationships between variables and outcomes, and convolutional neural networks for medical imaging analysis. Examples are given of how these techniques have achieved high accuracy in detecting lung tumors and cerebral aneurysms. The document also discusses how Google's DeepMind research has advanced protein structure prediction and could help understand genetic causes of disease. In closing, it notes machine learning can speed up drug
Similar to How to handle emergencies more efficiently (20)
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)