June 2011 Hackathon presentation after playing with ideas of how drones might do dance moves. All fingers still intact.
File copied from an old Slideshare account.
Drones can be programmed to dance by detecting beats in music using audio APIs and analyzing frequency patterns. They can follow preprogrammed dance routines or mirror human movements detected through video or motion sensors. Example routines could include a waltz, boogie, or dad dancing at a wedding. The document discusses using an ARDrone to dance and provides example videos of drones dancing to music.
GarageBand is a music application that comes bundled with Mac computers. It allows users to create, record, edit and share their own music. While some may think "real" musicians don't use GarageBand, famous songs like Rihanna's "Umbrella" have been created using it. GarageBand can be used in classrooms for projects like creating original music for movies or podcasts, recording class lectures, or teaching students how to play instruments.
GarageBand is a software application developed by Apple that allows users to create and record music or podcasts on Mac OS X and iOS devices. It was first introduced in 2004 and gives users tools like virtual instruments, audio recording, MIDI editing, and music lessons. GarageBand provides over 100 instrument sounds and the ability to record multiple audio tracks to create original songs or compositions.
I learned to construct four different types of robots including a robo bash robot, rolling shooter robot, elephant robot, and the complex YOG robot. I gained experience programming various robots, finding that some like the YOG robot required extensive programming to function properly. Overall, I gained skills in both building and programming robots through this training.
GarageBand allows users to create their own music, learn instruments, and record and share songs. It provides virtual instruments, recording tools, and the ability to export songs to iTunes or create ringtones and podcasts. The document encourages opening GarageBand to select styles, instruments, and record tracks, then tweak and adjust the recording before sharing or learning to play new instruments.
The document discusses the daily life of Peggy, who codes while listening to rock music in her "Rock n' Roll" room. Peggy works as a front-end engineer coding in JavaScript, Ruby on Rails, HTML, and CSS for projects including a mobile website for iKala.tv and the frontend for LIVEhouse.in. In addition to coding, Peggy is also a bass player, vocalist, and guitarist who tours with her band Roughhausen and rocks with colleagues at various venues in Taiwan and the Philippines. Peggy enjoys rocking while exercising through yoga, fitness, and Brazilian Jiu-Jitsu. She encourages finding a dream job at iKala where one can be a programmer
This document appears to be a slide deck containing photo credits from various photographers including nhuisman, deusto, Paco CT, Ludovico Sinz, anieto2k, Fotos GOVBA, omarshi, Pink Sherbet Photography, Sergio Fajardo Valderrama, Ángeles - The End - Good Bye, and Protocultor. The final slide encourages the viewer to create their own slide deck on SlideShare.
Drones can be programmed to dance by detecting beats in music using audio APIs and analyzing frequency patterns. They can follow preprogrammed dance routines or mirror human movements detected through video or motion sensors. Example routines could include a waltz, boogie, or dad dancing at a wedding. The document discusses using an ARDrone to dance and provides example videos of drones dancing to music.
GarageBand is a music application that comes bundled with Mac computers. It allows users to create, record, edit and share their own music. While some may think "real" musicians don't use GarageBand, famous songs like Rihanna's "Umbrella" have been created using it. GarageBand can be used in classrooms for projects like creating original music for movies or podcasts, recording class lectures, or teaching students how to play instruments.
GarageBand is a software application developed by Apple that allows users to create and record music or podcasts on Mac OS X and iOS devices. It was first introduced in 2004 and gives users tools like virtual instruments, audio recording, MIDI editing, and music lessons. GarageBand provides over 100 instrument sounds and the ability to record multiple audio tracks to create original songs or compositions.
I learned to construct four different types of robots including a robo bash robot, rolling shooter robot, elephant robot, and the complex YOG robot. I gained experience programming various robots, finding that some like the YOG robot required extensive programming to function properly. Overall, I gained skills in both building and programming robots through this training.
GarageBand allows users to create their own music, learn instruments, and record and share songs. It provides virtual instruments, recording tools, and the ability to export songs to iTunes or create ringtones and podcasts. The document encourages opening GarageBand to select styles, instruments, and record tracks, then tweak and adjust the recording before sharing or learning to play new instruments.
The document discusses the daily life of Peggy, who codes while listening to rock music in her "Rock n' Roll" room. Peggy works as a front-end engineer coding in JavaScript, Ruby on Rails, HTML, and CSS for projects including a mobile website for iKala.tv and the frontend for LIVEhouse.in. In addition to coding, Peggy is also a bass player, vocalist, and guitarist who tours with her band Roughhausen and rocks with colleagues at various venues in Taiwan and the Philippines. Peggy enjoys rocking while exercising through yoga, fitness, and Brazilian Jiu-Jitsu. She encourages finding a dream job at iKala where one can be a programmer
This document appears to be a slide deck containing photo credits from various photographers including nhuisman, deusto, Paco CT, Ludovico Sinz, anieto2k, Fotos GOVBA, omarshi, Pink Sherbet Photography, Sergio Fajardo Valderrama, Ángeles - The End - Good Bye, and Protocultor. The final slide encourages the viewer to create their own slide deck on SlideShare.
Here are some key points to consider when designing visuals:
- Who is your audience? What information do they need?
- What insights or messages do you want to convey?
- Choose visualisations that best suit your data and objectives (e.g. line graph for trends over time)
- Use simple, clear designs - less is more
- Combine visuals on a dashboard for drill-down exploration
- Include labels, legends and titles for context
- Consider interactive vs static, and online vs print formats
Designing visuals takes iteration. Start with sketches and refine based on feedback. The goal is effective communication!
The document discusses the evolution of the humanitarian data ecosystem from 2004-2015. It covers early stages of hand-scraping data and using SMS to later stages incorporating more data standards, analysis tools, and stable data stores. It also discusses the roles of both humans and machines in data generation and processing as well as challenges around data volume, velocity, and veracity. Key technologies discussed include Ushahidi, Sahana, CrisisCommons, and the use of data stores and visualizations to help local communities.
This document discusses risks and mitigations when releasing data. It defines risk as the probability of something happening multiplied by the resulting cost or benefit. There are risks of physical harm, legal harm, reputational harm, and privacy breaches to data subjects, collectors, processors, and those releasing the data. Risk levels can be low, medium, or high. The document provides strategies for mitigating risks such as considering partial data releases, including locals to assess risks in local languages/contexts, and being aware of how data may interact with other datasets. It emphasizes the responsibility to do no harm when releasing datasets.
This document discusses network analysis. It defines what a network is and describes common network features like nodes, edges, and centrality measures. It also covers network representations, using the NetworkX library to analyze networks, detecting communities within networks, and analyzing how information spreads through networks. A variety of network analysis tools are also listed.
Distributed defense against disinformation: disinformation risk management an...Sara-Jayne Terp
This document discusses distributed defense against disinformation through cognitive security operations centers (CogSecCollab). It proposes a multi-pronged approach involving platforms, law enforcement, government, and other actors to address the complex problem of online disinformation. Key aspects include establishing disinformation security operations centers to conduct threat intelligence, incident response, risk mitigation, and enablement activities like training, tools, and processes. The centers would use frameworks to model disinformation campaigns and share indicators across heterogeneous teams in a collaborative manner. Simulations, red teaming, and other techniques are recommended to test defenses and learn from examples.
Risk, SOCs, and mitigations: cognitive security is coming of ageSara-Jayne Terp
This document discusses cognitive security and disinformation risk assessments. It outlines three layers of security - physical, cyber, and cognitive. It describes various disinformation strategies and risks, including different types of misleading information like disinformation, misinformation, and malinformation. It then discusses approaches for assessing and managing disinformation risks, including analyzing the information, threat, and response landscapes in a country. It provides frameworks for classifying disinformation incidents and objects. Finally, it discusses how to set up a cognitive security operations center (CogSOC) to conduct near real-time monitoring, analysis, and response to disinformation threats.
disinformation risk management: leveraging cyber security best practices to s...Sara-Jayne Terp
This document discusses leveraging cybersecurity best practices to support cognitive security goals related to disinformation and misinformation. It outlines three layers of security - physical, cyber, and cognitive security. It then provides examples of cognitive security risk assessment and mapping the risk landscape. Next, it discusses working together to mitigate and respond to risks through proposed cognitive security operations centers. Finally, it provides a hypothetical example of conducting a country-level risk assessment and designing a response strategy. The document advocates adapting frameworks and standards from cybersecurity to help conceptualize and coordinate cognitive security challenges and responses.
This document discusses cognitive security, which involves defending against attempts to intentionally or unintentionally manipulate cognition and sensemaking at scale. It covers various topics related to cognitive security including actors, channels, influencers, groups, messaging, and tools used in disinformation campaigns. Frameworks are presented for analyzing disinformation incidents, adapting concepts from information security like the cyber kill chain. Response strategies are discussed, drawing from fields like information operations, crisis management, and risk management. The need for a common language and ongoing monitoring and evaluation is emphasized.
Here are some key points to consider when designing visuals:
- Who is your audience? What information do they need?
- What insights or messages do you want to convey?
- Choose visualisations that best suit your data and objectives (e.g. line graph for trends over time)
- Use simple, clear designs - less is more
- Combine visuals on a dashboard for drill-down exploration
- Include labels, legends and titles for context
- Consider interactive vs static, and online vs print formats
Designing visuals takes iteration. Start with sketches and refine based on feedback. The goal is effective communication!
The document discusses the evolution of the humanitarian data ecosystem from 2004-2015. It covers early stages of hand-scraping data and using SMS to later stages incorporating more data standards, analysis tools, and stable data stores. It also discusses the roles of both humans and machines in data generation and processing as well as challenges around data volume, velocity, and veracity. Key technologies discussed include Ushahidi, Sahana, CrisisCommons, and the use of data stores and visualizations to help local communities.
This document discusses risks and mitigations when releasing data. It defines risk as the probability of something happening multiplied by the resulting cost or benefit. There are risks of physical harm, legal harm, reputational harm, and privacy breaches to data subjects, collectors, processors, and those releasing the data. Risk levels can be low, medium, or high. The document provides strategies for mitigating risks such as considering partial data releases, including locals to assess risks in local languages/contexts, and being aware of how data may interact with other datasets. It emphasizes the responsibility to do no harm when releasing datasets.
This document discusses network analysis. It defines what a network is and describes common network features like nodes, edges, and centrality measures. It also covers network representations, using the NetworkX library to analyze networks, detecting communities within networks, and analyzing how information spreads through networks. A variety of network analysis tools are also listed.
Distributed defense against disinformation: disinformation risk management an...Sara-Jayne Terp
This document discusses distributed defense against disinformation through cognitive security operations centers (CogSecCollab). It proposes a multi-pronged approach involving platforms, law enforcement, government, and other actors to address the complex problem of online disinformation. Key aspects include establishing disinformation security operations centers to conduct threat intelligence, incident response, risk mitigation, and enablement activities like training, tools, and processes. The centers would use frameworks to model disinformation campaigns and share indicators across heterogeneous teams in a collaborative manner. Simulations, red teaming, and other techniques are recommended to test defenses and learn from examples.
Risk, SOCs, and mitigations: cognitive security is coming of ageSara-Jayne Terp
This document discusses cognitive security and disinformation risk assessments. It outlines three layers of security - physical, cyber, and cognitive. It describes various disinformation strategies and risks, including different types of misleading information like disinformation, misinformation, and malinformation. It then discusses approaches for assessing and managing disinformation risks, including analyzing the information, threat, and response landscapes in a country. It provides frameworks for classifying disinformation incidents and objects. Finally, it discusses how to set up a cognitive security operations center (CogSOC) to conduct near real-time monitoring, analysis, and response to disinformation threats.
disinformation risk management: leveraging cyber security best practices to s...Sara-Jayne Terp
This document discusses leveraging cybersecurity best practices to support cognitive security goals related to disinformation and misinformation. It outlines three layers of security - physical, cyber, and cognitive security. It then provides examples of cognitive security risk assessment and mapping the risk landscape. Next, it discusses working together to mitigate and respond to risks through proposed cognitive security operations centers. Finally, it provides a hypothetical example of conducting a country-level risk assessment and designing a response strategy. The document advocates adapting frameworks and standards from cybersecurity to help conceptualize and coordinate cognitive security challenges and responses.
This document discusses cognitive security, which involves defending against attempts to intentionally or unintentionally manipulate cognition and sensemaking at scale. It covers various topics related to cognitive security including actors, channels, influencers, groups, messaging, and tools used in disinformation campaigns. Frameworks are presented for analyzing disinformation incidents, adapting concepts from information security like the cyber kill chain. Response strategies are discussed, drawing from fields like information operations, crisis management, and risk management. The need for a common language and ongoing monitoring and evaluation is emphasized.
2021 IWC presentation: Risk, SOCs and Mitigations: Cognitive Security is Comi...Sara-Jayne Terp
This document discusses cognitive security and disinformation risk assessments. It outlines three layers of security - physical, cyber, and cognitive. It describes various disinformation strategies and risks, including different types of misleading information like disinformation, misinformation, and malinformation. It then discusses approaches for assessing and managing disinformation risks, including analyzing the information, threat, and response landscapes in a country. It provides frameworks for classifying disinformation incidents and objects. Finally, it discusses how to set up a cognitive security operations center (CogSOC) to conduct near real-time monitoring, analysis, and response to disinformation threats.
This document discusses distributed defense against disinformation through cognitive security operations centers (CogSecCollab). It proposes a multi-pronged approach involving platforms, law enforcement, government, and other actors to address the complex problem of online disinformation. Key aspects include establishing disinformation security operations centers to conduct threat intelligence, incident response, risk mitigation, and enablement activities. The centers would use frameworks like AMITT to analyze disinformation techniques, track narratives and artifacts, and share intelligence. A variety of tactics are outlined, including detecting, denying, disrupting, and deceiving disinformation actors, as well as developing counter-narratives. Machine learning and automation could help with tasks like graph analysis, text analysis, and
1) The document discusses frameworks for understanding and responding to disinformation, including the AMITT and ATT&CK frameworks.
2) It describes various types of actors involved in spreading disinformation and proposes establishing Disinformation Security Operations Centers to facilitate collaboration between response efforts.
3) The goals of a CogSec SOC are outlined as informing about ongoing incidents, neutralizing disinformation, preventing future incidents, supporting organizations, and acting as a clearinghouse for incident data.
This document discusses lessons learned from the CTI League's Disinformation Team in responding to disinformation incidents related to COVID-19. It outlines key aspects of disinformation response including identifying common COVID-19 narratives, understanding motivations like money and geopolitics, and evolving tactics used by disinformation actors. It also describes the incident response process involving triaging incidents, conducting analysis to understand the situation, and considering options for countermeasures. Collaboration is emphasized as critical to effectively countering this complex, global problem.
1. The document outlines plans for an Information Sharing and Analysis Organization (ISAO) focused on countering misinformation.
2. It proposes building a global infrastructure and connecting public and private stakeholders to facilitate information sharing and developing collaborative capabilities to define, disseminate and apply best practices for cognitive security.
3. The ISAO would identify risks, protect information systems, detect threats and incidents, respond with countermeasures, and help recovery through lessons learned - extending the MITRE ATT&CK framework to analyze misinformation campaigns and techniques.
This document summarizes a presentation about social engineering at scale on the internet. The presentation discusses how social media platforms like Facebook have been used by groups to spread misinformation and manipulate public opinion at a massive scale through inauthentic accounts and posts. It also examines common human vulnerabilities that are exploited, such as biases and emotions. The presentation then outlines some responses from different groups to address this issue, including tech companies, journalists, and politicians. It concludes by suggesting ways to better design systems to reduce manipulation and abuse while coexisting with social bots.
The document discusses social engineering at scale on social media platforms like Facebook, the vulnerabilities it exploits in human cognition, and various responses to the spread of misinformation and disinformation online. It notes how certain Facebook groups have achieved massive shares and interactions while spreading untruths, and outlines cognitive biases and effects that make misinformation spread widely. Responses discussed include fact-checking organizations, changes by tech companies and social networks, and efforts by journalists, politicians, and hackers. It suggests this issue significantly changes the nature of the internet and human interactions online.
This document discusses belief hacking and how beliefs can be influenced through the use of algorithms, data analytics, and artificial intelligence on social networks. It describes how beliefs can be modeled and adjusted by optimizing for what people want to believe, using propaganda techniques to undermine opposing views, and leveraging social contagion to spread ideas. The document warns that while misinformation can be disruptive, understanding the systems already in place to influence beliefs is needed before attempting to counter or limit their effects.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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!
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.