This document discusses the technical architecture work package for the ViBRANT project. It covers hosting architecture, failover and mirroring, providing technical support, multisite integration, a dynamic site registry, measuring and publishing data usage, developing a citation metric, integrating Scratchpads, prioritizing development, code testing, managing training resources, developing a financial model for sustainability, and providing a service level agreement for users.
Gangstas, thugs, vikings, and drivers pptChris Olson
This thesis considers how the depictions of masculinity in the films of Danish director Nicolas Winding Refn function as a critique of mainstream Hollywood cinema’s perpetuation of the notion that violent male behavior represents a heroic ideal for men to emulate. In films such as Pusher, Bronson, Valhalla Rising, and Drive, Refn constructs and presents his male characters by drawing upon recurring archetypal figures such as the gangster, the gangsta, the gunslinger, and the samurai. These figures recur throughout popular culture and across genres, and they perpetuate and reinforce a specific version of masculinity that emphasizes individualism, stoicism, and violence. Mainstream Hollywood films in general and male action cinema in particular often present this narrow and rigid vision of masculinity as a heroic manly ideal, and this, in turn, can inform how male viewers construct their own masculine personae. The male characters in Refn’s films serve to critique and destabilize this ideal by demonstrating how an insistence on appropriating or conforming to this sort of violent masculinity results in negative consequences for both the individual and the society around him.
For more, please see my complete thesis, which can be viewed here: http://via.library.depaul.edu/cmnt/25/
Este documento describe los conceptos de dirección y estilos de liderazgo en el contexto educativo. Explica que la dirección escolar consiste en guiar y supervisar a los miembros de la institución para lograr los objetivos mediante la planificación, organización, motivación, ejecución y control. También analiza el papel del mando intermedio y los beneficios de la delegación de funciones. Finalmente, presenta diferentes estilos de dirección como el participativo, directivo, orientativo, afiliativo, imitativo y capacitador.
SBF2016 - ROBOTIC PROCESS AUTOMATION - CASATIAndrea Casati
Andrea Casati is a lead data scientist at Business Integration Partners who presented at the Social Business Forum on July 7th 2016 about robotic process automation. BIP is a data consulting firm with over 30 data experts. They provide data strategy, governance, and advanced analytics services. Robotic process automation uses artificial intelligence to partially automate organizational tasks through software robots. It allows tasks to be performed quickly, accurately, and at a lower cost than human workers. Some common uses of RPA include finance and accounting, procurement, customer service, and predictive maintenance in telcos.
This document discusses various topics in pathology including cellular responses to injury like adaptation, necrosis and apoptosis. It describes different types of cellular changes like atrophy, hypertrophy, hyperplasia, metaplasia and intracellular accumulations of fat, cholesterol, proteins and glycogen. The causes, pathogenesis and morphological features of these cellular changes are explained.
The document discusses the basic principles of medication administration including drug nomenclature, the mechanics of drug action, factors affecting drug action, types of medication orders, parts of orders, problems with orders, medication supply systems, the six rights of administration, steps in administration, documentation, errors, and various routes of administration such as oral, topical, inhalation, among others. It provides an overview of key concepts and procedures for properly administering medications to patients.
This document discusses the technical architecture work package for the ViBRANT project. It covers hosting architecture, failover and mirroring, providing technical support, multisite integration, a dynamic site registry, measuring and publishing data usage, developing a citation metric, integrating Scratchpads, prioritizing development, code testing, managing training resources, developing a financial model for sustainability, and providing a service level agreement for users.
Gangstas, thugs, vikings, and drivers pptChris Olson
This thesis considers how the depictions of masculinity in the films of Danish director Nicolas Winding Refn function as a critique of mainstream Hollywood cinema’s perpetuation of the notion that violent male behavior represents a heroic ideal for men to emulate. In films such as Pusher, Bronson, Valhalla Rising, and Drive, Refn constructs and presents his male characters by drawing upon recurring archetypal figures such as the gangster, the gangsta, the gunslinger, and the samurai. These figures recur throughout popular culture and across genres, and they perpetuate and reinforce a specific version of masculinity that emphasizes individualism, stoicism, and violence. Mainstream Hollywood films in general and male action cinema in particular often present this narrow and rigid vision of masculinity as a heroic manly ideal, and this, in turn, can inform how male viewers construct their own masculine personae. The male characters in Refn’s films serve to critique and destabilize this ideal by demonstrating how an insistence on appropriating or conforming to this sort of violent masculinity results in negative consequences for both the individual and the society around him.
For more, please see my complete thesis, which can be viewed here: http://via.library.depaul.edu/cmnt/25/
Este documento describe los conceptos de dirección y estilos de liderazgo en el contexto educativo. Explica que la dirección escolar consiste en guiar y supervisar a los miembros de la institución para lograr los objetivos mediante la planificación, organización, motivación, ejecución y control. También analiza el papel del mando intermedio y los beneficios de la delegación de funciones. Finalmente, presenta diferentes estilos de dirección como el participativo, directivo, orientativo, afiliativo, imitativo y capacitador.
SBF2016 - ROBOTIC PROCESS AUTOMATION - CASATIAndrea Casati
Andrea Casati is a lead data scientist at Business Integration Partners who presented at the Social Business Forum on July 7th 2016 about robotic process automation. BIP is a data consulting firm with over 30 data experts. They provide data strategy, governance, and advanced analytics services. Robotic process automation uses artificial intelligence to partially automate organizational tasks through software robots. It allows tasks to be performed quickly, accurately, and at a lower cost than human workers. Some common uses of RPA include finance and accounting, procurement, customer service, and predictive maintenance in telcos.
This document discusses various topics in pathology including cellular responses to injury like adaptation, necrosis and apoptosis. It describes different types of cellular changes like atrophy, hypertrophy, hyperplasia, metaplasia and intracellular accumulations of fat, cholesterol, proteins and glycogen. The causes, pathogenesis and morphological features of these cellular changes are explained.
The document discusses the basic principles of medication administration including drug nomenclature, the mechanics of drug action, factors affecting drug action, types of medication orders, parts of orders, problems with orders, medication supply systems, the six rights of administration, steps in administration, documentation, errors, and various routes of administration such as oral, topical, inhalation, among others. It provides an overview of key concepts and procedures for properly administering medications to patients.
[DSC Adria 23] Abhisar Bharti Real-Time Monitoring Using Prometheus and Grafa...DataScienceConferenc1
In this talk, I will introduce Portainer, Prometheus and Grafana to do an effective monitoring of an infrastructure. We will also look into the Prometheus configuration in detail with optimization in mind and a small demo of a simple use case. We will cover some basic challenges of using prometheus in a production environment and look for possible steps to overcome those issues.
This document discusses problems with traditional project management approaches when applied to software development and proposes alternatives. It argues that projects are not well-suited for software because they are temporary, focus on milestones rather than delivering value, encourage big batches over small increments, and disrupt teams. Instead, it recommends taking a continuous flow approach with stable stream teams, focusing on quickly delivering small amounts of value, and governing based on results and benefits rather than schedules and budgets.
Estimating instruction-level throughput (for example, predicting the cycle counts) is critical for many applications that rely on tightly calculated and accurate timing bounds. In this talk, we will present a new throughput analysis tool, MCA Daemon (MCAD). It is built on top of LLVM MCA and combines the advantages of both static and dynamic throughput analyses, providing a powerful, fast, and easy-to-use tool that scales up with large-scale programs in the real world.
How would you recover? Lesson's from 2016's most interesting disastersDatabarracks
The document discusses lessons learned from data loss incidents in 2016, including several case studies. It recommends that companies put methods in place to limit damage from ransomware attacks, carefully manage user access privileges, secure physical server infrastructure, ensure disaster recovery plans can enable all users to continue working regardless of premises access, and make sure service providers can handle multiple recovery needs in parallel. Proper testing and documentation of backup, replication, and disaster recovery procedures is also advised to prevent outages.
The document discusses technical integrity of project schedules. It identifies five common problems with developing project schedules: 1) open-ended activities without predecessors or successors, 2) use of constraint dates, 3) negative lags, 4) incorrect software settings, and 5) excessive detail. These problems can result in incorrect float calculations, invalid critical paths, and schedules that lack credibility and predictability. The document provides examples and case studies of how these problems negatively impact schedule integrity. It emphasizes the importance of schedule technical integrity for successful project management.
APM webinar held on 27 April 2021.
Presenters:
Naomi Brooks, Sebastian Williams, Martin Paver
Revolutions, it’s been remarked, never go backward. Nor do they advance at a constant rate. Just consider the radical transformation unleashed by data analytics.
By now, it’s clear the data revolution is changing businesses and industries in profound and unalterable ways.
We have a real opportunity, as project professionals, to harness the benefits of data to support the progress of our projects.
We can only do this if we fully understand and embrace the fundamental requirements of data. This session will look to explore the why of data, providing an initial insight into why you should embrace it’s role in current and future projects.
Links:
https://youtu.be/AxXengxxNcQ
https://www.apm.org.uk/news/why-data-matters-webinar/
How to Find the Right Market Intelligence Technology for Your CompanyIntelCollab.com
The document discusses a webinar on finding the right market intelligence technology for a company. The webinar will be presented by JP Ratajczak from Aurora WDC and will cover topics like the evolution of MI technology, its impact on the intelligence cycle, short and long term benefits of investment, and what to consider when buying an MI technology solution.
PYTHON AND DATA SCIENCE FOR INVESTMENT PROFESSIONALSQuantUniversity
Join CFA Institute and QuantUniversity for an information session about the upcoming CFA Institute Professional Learning course: Python and Data Science for Investment professionals.
PfMP - A Practical Guide to Project Portfolio ManagementDave Ungar
This document summarizes a presentation on project portfolio management. It discusses key aspects of PPM including strategy, governance, performance, risk management, and communication. It also references the Project Management Institute's standard for portfolio management as an important resource. The presentation aims to provide practical guidance on using data to make investment decisions and align projects, as well as optimizing performance through governance, risk management, and key performance indicators.
Niche bloggers up to multinational corporations, they are all interested in monitoring their web traffic and its patterns across time.
Google Analytics is the most widely used solution to keep track of this type of data. It provides a UI for a wide range of reports and possibilities for various types of visualizations.
Moreover, the availability of the Analytics API coupled with the corresponding R packages can now give more options for custom web analyses.
The plan for this talk is to cover the following :
• What is web analytics ? How it works ?
• Interfacing with the Analytics Reporting API via an R package (RGA)
• Practical analytics applications with R
• Discussion
Defining Outside-in Processes: Summary of As Is and To Be WorkLora Cecere
In January, I kicked off a cross-industry collaborative effort with seven business leaders, four academics, a SCOR master from APICS, and o9. The project is named Project Zebra. The concept for the naming is the goal of helping Supply Chain Leaders change their stripes by rethinking planning concepts.
My goal? The focus is the design and test of outside-in processes. The group reached the milestone of documenting the "as is" and "to be" documentation at the end of June. The focus is now on testing. The next step is to test the market-driven demand management concept with BSH Home Appliances and the Market-driven Knowledge Graph with Western Digital.
These results to publish in September 2021. With the pandemic, companies want to sense and respond using market data, but there is no clear roadmap outlining value to drive enablement. The hope is for this project to fill this gap.
Trustworthy Computational Science: Lessons Learned and Next StepsVon Welch
This document discusses lessons learned and next steps for trustworthy computational science from a 2015 NSF Cybersecurity Summit. It notes that the threat landscape and technologies are constantly changing, while science environments are open and collaborative. Effective cybersecurity programs must minimize costs while not negatively impacting science productivity. Risk assessments should understand critical assets to focus protection. While data may be public, reputation and integrity are important. Resources like the NSF Cybersecurity Center of Excellence can provide assistance to computational science communities.
The document discusses web scraping and provides a demonstration. It defines web scraping as using software to automatically extract and organize useful data from websites. Originally screen scraping was used before the wide adoption of the World Wide Web, but as the Web grew, web scraping techniques were developed to automate the process. The demonstration shows how to use the Beautiful Soup library in Python to send requests to URLs, parse the HTML code, and access specific elements and content in tags. Students are assigned activities to practice scraping COVID-19 data from a website and analyzing a self-selected webpage.
GraphQL Server - Single point of opportunitiesTobias Meixner
This document discusses strengths, weaknesses, opportunities, and threats (SWOT) of using GraphQL servers. Some key points:
- Strengths of GraphQL servers include empowering clients to define desired data, high developer velocity, and optimized data fetching.
- Weaknesses can include a high learning curve, potential over-fetching of data leading to wasted resources, and challenges with caching.
- Opportunities include type safety, a growing community, and improved developer experience.
- Threats include a still-maturing ecosystem, potential vendor lock-in, and ethical implications around data usage that require consideration.
This document provides an introduction to polyglot processing using various big data frameworks. It discusses the lambda and kappa architectures for handling batch, micro-batch, and streaming workloads. The document then demonstrates Apache Spark, Storm, Kafka and Redis for stream processing and compares these tools to Flink. It concludes that polyglot processing allows for any data type or workload to be handled and that frameworks like Spark, Storm and Flink each have strengths for distributed, real-time computation.
Ken Whitaker shares pragmatic techniques to help project managers and software development leaders put into practice innovative scheduling techniques, make consistent customer-centric decisions, reduce project risk, quickly negotiate with product owners the most important project scope, and transition teams to become more agile. Ken shares revealing statistical data on how waterfall is simply not suited for modern-day adaptive software development projects. With fellow participants, you’ll spend time performing a “Scrum walkabout” to get the idea of just how an agile project really works. These best practices are presented to motivate your team to deliver projects on time, every time. Although this tutorial doesn’t incorporate intensive role-play, we’ll have lively interaction that will incorporate lessons learned from actual case studies and attendees’ project experiences. Take away powerful, yet simple, ways to bridge the gap between PMI’s PMBOK® Guide and agile.
Innovative Methods and Technologies in Project Management: Project Management Techniques
presentation by Ray Mead, p3m global
APM Wessex branch
Wednesday 15 February 2017
This document discusses serverless computing and functions as a service (FaaS). It begins by defining serverless and FaaS, noting that FaaS is a means to achieve serverless architectures. It then charts the evolution of infrastructure models from on-premise hardware to platform as a service (PaaS) and container as a service (CaaS). The document examines the financial model of FaaS, how it incentivizes modularization. It provides examples of pricing for AWS Lambda. It also outlines some common serverless platforms, use cases, considerations for the future of serverless, and concludes with contact information for the author.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
[DSC Adria 23] Abhisar Bharti Real-Time Monitoring Using Prometheus and Grafa...DataScienceConferenc1
In this talk, I will introduce Portainer, Prometheus and Grafana to do an effective monitoring of an infrastructure. We will also look into the Prometheus configuration in detail with optimization in mind and a small demo of a simple use case. We will cover some basic challenges of using prometheus in a production environment and look for possible steps to overcome those issues.
This document discusses problems with traditional project management approaches when applied to software development and proposes alternatives. It argues that projects are not well-suited for software because they are temporary, focus on milestones rather than delivering value, encourage big batches over small increments, and disrupt teams. Instead, it recommends taking a continuous flow approach with stable stream teams, focusing on quickly delivering small amounts of value, and governing based on results and benefits rather than schedules and budgets.
Estimating instruction-level throughput (for example, predicting the cycle counts) is critical for many applications that rely on tightly calculated and accurate timing bounds. In this talk, we will present a new throughput analysis tool, MCA Daemon (MCAD). It is built on top of LLVM MCA and combines the advantages of both static and dynamic throughput analyses, providing a powerful, fast, and easy-to-use tool that scales up with large-scale programs in the real world.
How would you recover? Lesson's from 2016's most interesting disastersDatabarracks
The document discusses lessons learned from data loss incidents in 2016, including several case studies. It recommends that companies put methods in place to limit damage from ransomware attacks, carefully manage user access privileges, secure physical server infrastructure, ensure disaster recovery plans can enable all users to continue working regardless of premises access, and make sure service providers can handle multiple recovery needs in parallel. Proper testing and documentation of backup, replication, and disaster recovery procedures is also advised to prevent outages.
The document discusses technical integrity of project schedules. It identifies five common problems with developing project schedules: 1) open-ended activities without predecessors or successors, 2) use of constraint dates, 3) negative lags, 4) incorrect software settings, and 5) excessive detail. These problems can result in incorrect float calculations, invalid critical paths, and schedules that lack credibility and predictability. The document provides examples and case studies of how these problems negatively impact schedule integrity. It emphasizes the importance of schedule technical integrity for successful project management.
APM webinar held on 27 April 2021.
Presenters:
Naomi Brooks, Sebastian Williams, Martin Paver
Revolutions, it’s been remarked, never go backward. Nor do they advance at a constant rate. Just consider the radical transformation unleashed by data analytics.
By now, it’s clear the data revolution is changing businesses and industries in profound and unalterable ways.
We have a real opportunity, as project professionals, to harness the benefits of data to support the progress of our projects.
We can only do this if we fully understand and embrace the fundamental requirements of data. This session will look to explore the why of data, providing an initial insight into why you should embrace it’s role in current and future projects.
Links:
https://youtu.be/AxXengxxNcQ
https://www.apm.org.uk/news/why-data-matters-webinar/
How to Find the Right Market Intelligence Technology for Your CompanyIntelCollab.com
The document discusses a webinar on finding the right market intelligence technology for a company. The webinar will be presented by JP Ratajczak from Aurora WDC and will cover topics like the evolution of MI technology, its impact on the intelligence cycle, short and long term benefits of investment, and what to consider when buying an MI technology solution.
PYTHON AND DATA SCIENCE FOR INVESTMENT PROFESSIONALSQuantUniversity
Join CFA Institute and QuantUniversity for an information session about the upcoming CFA Institute Professional Learning course: Python and Data Science for Investment professionals.
PfMP - A Practical Guide to Project Portfolio ManagementDave Ungar
This document summarizes a presentation on project portfolio management. It discusses key aspects of PPM including strategy, governance, performance, risk management, and communication. It also references the Project Management Institute's standard for portfolio management as an important resource. The presentation aims to provide practical guidance on using data to make investment decisions and align projects, as well as optimizing performance through governance, risk management, and key performance indicators.
Niche bloggers up to multinational corporations, they are all interested in monitoring their web traffic and its patterns across time.
Google Analytics is the most widely used solution to keep track of this type of data. It provides a UI for a wide range of reports and possibilities for various types of visualizations.
Moreover, the availability of the Analytics API coupled with the corresponding R packages can now give more options for custom web analyses.
The plan for this talk is to cover the following :
• What is web analytics ? How it works ?
• Interfacing with the Analytics Reporting API via an R package (RGA)
• Practical analytics applications with R
• Discussion
Defining Outside-in Processes: Summary of As Is and To Be WorkLora Cecere
In January, I kicked off a cross-industry collaborative effort with seven business leaders, four academics, a SCOR master from APICS, and o9. The project is named Project Zebra. The concept for the naming is the goal of helping Supply Chain Leaders change their stripes by rethinking planning concepts.
My goal? The focus is the design and test of outside-in processes. The group reached the milestone of documenting the "as is" and "to be" documentation at the end of June. The focus is now on testing. The next step is to test the market-driven demand management concept with BSH Home Appliances and the Market-driven Knowledge Graph with Western Digital.
These results to publish in September 2021. With the pandemic, companies want to sense and respond using market data, but there is no clear roadmap outlining value to drive enablement. The hope is for this project to fill this gap.
Trustworthy Computational Science: Lessons Learned and Next StepsVon Welch
This document discusses lessons learned and next steps for trustworthy computational science from a 2015 NSF Cybersecurity Summit. It notes that the threat landscape and technologies are constantly changing, while science environments are open and collaborative. Effective cybersecurity programs must minimize costs while not negatively impacting science productivity. Risk assessments should understand critical assets to focus protection. While data may be public, reputation and integrity are important. Resources like the NSF Cybersecurity Center of Excellence can provide assistance to computational science communities.
The document discusses web scraping and provides a demonstration. It defines web scraping as using software to automatically extract and organize useful data from websites. Originally screen scraping was used before the wide adoption of the World Wide Web, but as the Web grew, web scraping techniques were developed to automate the process. The demonstration shows how to use the Beautiful Soup library in Python to send requests to URLs, parse the HTML code, and access specific elements and content in tags. Students are assigned activities to practice scraping COVID-19 data from a website and analyzing a self-selected webpage.
GraphQL Server - Single point of opportunitiesTobias Meixner
This document discusses strengths, weaknesses, opportunities, and threats (SWOT) of using GraphQL servers. Some key points:
- Strengths of GraphQL servers include empowering clients to define desired data, high developer velocity, and optimized data fetching.
- Weaknesses can include a high learning curve, potential over-fetching of data leading to wasted resources, and challenges with caching.
- Opportunities include type safety, a growing community, and improved developer experience.
- Threats include a still-maturing ecosystem, potential vendor lock-in, and ethical implications around data usage that require consideration.
This document provides an introduction to polyglot processing using various big data frameworks. It discusses the lambda and kappa architectures for handling batch, micro-batch, and streaming workloads. The document then demonstrates Apache Spark, Storm, Kafka and Redis for stream processing and compares these tools to Flink. It concludes that polyglot processing allows for any data type or workload to be handled and that frameworks like Spark, Storm and Flink each have strengths for distributed, real-time computation.
Ken Whitaker shares pragmatic techniques to help project managers and software development leaders put into practice innovative scheduling techniques, make consistent customer-centric decisions, reduce project risk, quickly negotiate with product owners the most important project scope, and transition teams to become more agile. Ken shares revealing statistical data on how waterfall is simply not suited for modern-day adaptive software development projects. With fellow participants, you’ll spend time performing a “Scrum walkabout” to get the idea of just how an agile project really works. These best practices are presented to motivate your team to deliver projects on time, every time. Although this tutorial doesn’t incorporate intensive role-play, we’ll have lively interaction that will incorporate lessons learned from actual case studies and attendees’ project experiences. Take away powerful, yet simple, ways to bridge the gap between PMI’s PMBOK® Guide and agile.
Innovative Methods and Technologies in Project Management: Project Management Techniques
presentation by Ray Mead, p3m global
APM Wessex branch
Wednesday 15 February 2017
This document discusses serverless computing and functions as a service (FaaS). It begins by defining serverless and FaaS, noting that FaaS is a means to achieve serverless architectures. It then charts the evolution of infrastructure models from on-premise hardware to platform as a service (PaaS) and container as a service (CaaS). The document examines the financial model of FaaS, how it incentivizes modularization. It provides examples of pricing for AWS Lambda. It also outlines some common serverless platforms, use cases, considerations for the future of serverless, and concludes with contact information for the author.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
Claw | data centric expert system
1. project Claw
PV243 Advanced Java technologies
Michal Karm Babacek
Faculty of Informatics, Masaryk University
2014-06-18
ver.: git commit b5909b5, 2014-06-18, by Karm, karm@email.cz
2. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Outline
1 What is it good for?
2 Technologies
3 Success vs. Failure
4 Outlook
5 References
2 / 13
3. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Mission
• Intelligence gathering
• Real-time data mining
• Supervised machine learning
• Possibly inspired by Palantir n
• ...on a microscopic scale
3 / 13
4. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Mission
• Intelligence gathering
• Real-time data mining
• Supervised machine learning
• Possibly inspired by Palantir n
• ...on a microscopic scale
3 / 13
5. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Mission
• Intelligence gathering
• Real-time data mining
• Supervised machine learning
• Possibly inspired by Palantir n
• ...on a microscopic scale
3 / 13
6. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Mission
• Intelligence gathering
• Real-time data mining
• Supervised machine learning
• Possibly inspired by Palantir n
• ...on a microscopic scale
3 / 13
7. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Mission
• Intelligence gathering
• Real-time data mining
• Supervised machine learning
• Possibly inspired by Palantir n
• ...on a microscopic scale
3 / 13
16. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
Outlook
• Play with Weka and integrate it
• Add more data sources
• Visualize with Processing
• OpenShift
• Docker?
12 / 13
17. project Claw
Michal Karm
Babacek
What is it good for?
Technologies
Success vs. Failure
Outlook
References
References
Infinispan infinispan.org
WildFly wildfly.org
Hibernate — search hibernate.org/search
Weka cs.waikato.ac.nz/ml/weka
Palantir palantir.com
Processing processing.org
Mongo DB mongodb.org
Postgre SQL postgresql.org
Twitter API dev.twitter.com
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