Impact at dream a dream
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Dream A Dream is an NGO that works to enhance the lives of children from vulnerable backgrounds through programs in creative arts, sports, adventure camps, mentoring, and IT. Their Dream Sports program teaches football and rugby to over 500 children, developing life skills like teamwork, creativity, and problem-solving. They measure program impact both quantitatively, through a Life Skills Assessment tool developed by psychologists, and qualitatively by collecting stories of change. However, the current assessment process faces difficulties like understaffing and different people assessing and entering data. Going forward, they plan to improve staff training, reduce assessment frequency, and start program batches biannually.
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Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019
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A presentation at Internetware 2025.The Future of Product Management in AI ERA.pdf
The Future of Product Management in AI ERA.pdfAlyona Owens
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Hi, Im Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around.
Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as Ive transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs Well talk about it shortly.
But before that, I want to take you back to 1997. One of my favorite movies is Fifth Element. It wowed me with futuristic predictions when I was a kid and Im impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves:
Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink).
Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully).
On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldnt be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future.
So, we as humans, when we dont know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didnt steal jobsthey transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.
Lessons Learned from Developing Secure AI Workflows.pdf
Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash
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Lessons Learned from Developing Secure AI WorkflowsOWASP Barcelona 2025 Threat Model Library
OWASP Barcelona 2025 Threat Model LibraryPetraVukmirovic
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Threat Model Library Launch at OWASP Barcelona 2025
https://owasp.org/www-project-threat-model-library/Curietech AI in action - Accelerate MuleSoft development
Curietech AI in action - Accelerate MuleSoft developmentshyamraj55
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CurieTech AI in Action Accelerate MuleSoft Development
Overview:
This presentation demonstrates how CurieTech AIs purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort
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Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
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DataWeave automation: Generate mappings from tables or samples95%+ complete within minutes
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Integration flow generation: Auto-create Mule flows based on specificationsspeeds up boilerplate development
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Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling
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Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code
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Why Now?
Achieve 10 productivity gains, slashing development time from hours to minutes
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Maintain high accuracy with code quality matching or exceeding manual efforts
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Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency
Conclusion:
CurieTech AI transforms MuleSoft development into an AI-accelerated workflowletting you focus on innovation, not repetition.Smarter Aviation Data Management: Lessons from Swedavia Airports and Sweco
Smarter Aviation Data Management: Lessons from Swedavia Airports and SwecoSafe Software
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Managing airport and airspace data is no small task, especially when youre expected to deliver it in AIXM format without spending a fortune on specialized tools. But what if there was a smarter, more affordable way?
Join us for a behind-the-scenes look at how Sweco partnered with Swedavia, the Swedish airport operator, to solve this challenge using FME and Esri.
Learn how they built automated workflows to manage periodic updates, merge airspace data, and support data extracts all while meeting strict government reporting requirements to the Civil Aviation Administration of Sweden.
Even better? Swedavia built custom services and applications that use the FME Flow REST API to trigger jobs and retrieve results streamlining tasks like securing the quality of new surveyor data, creating permdelta and baseline representations in the AIS schema, and generating AIXM extracts from their AIS data.
To conclude, FME expert Dean Hintz will walk through a GeoBorders reading workflow and highlight recent enhancements to FMEs AIXM (Aeronautical Information Exchange Model) processing and interpretation capabilities.
Discover how airports like Swedavia are harnessing the power of FME to simplify aviation data management, and how you can too."How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...
"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...Fwdays
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We will explore how e-commerce projects prepare for the busiest time of the year, which key aspects to focus on, and what to expect. Well share our experience in setting up auto-scaling, load balancing, and discuss the loads that Silpo handles, as well as the solutions that help us navigate this season without failures.10 Key Challenges for AI within the EU Data Protection Framework.pdf
10 Key Challenges for AI within the EU Data Protection Framework.pdfPriyanka Aash
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10 Key Challenges for AI within the EU Data Protection FrameworkUsing the SQLExecutor for Data Quality Management: aka One man's love for the...
Using the SQLExecutor for Data Quality Management: aka One man's love for the...Safe Software
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The SQLExecutor is one of FMEs most powerful and flexible transformers. Pivvot maintains a robust internal metadata hierarchy used to support ingestion and curation of thousands of external data sources that must be managed for quality before entering our platform. By using the SQLExecutor, Pivvot can efficiently detect problems and perform analysis before data is extracted from our staging environment, removing the need for rollbacks or cycles waisted on a failed job. This presentation will walk through three distinct examples of how Pivvot uses the SQLExecutor to engage its metadata hierarchy and integrate with its Data Quality Management workflows efficiently and within the source postgres database. Spatial Validation Validating spatial prerequisites before entering a production environment. Reference Data Validation - Dynamically validate domain-ed columns across any table and multiple columns per table. Practical De-duplication - Removing identical or near-identical well point locations from two distinct source datasets in the same table.WebdriverIO & JavaScript: The Perfect Duo for Web Automation
WebdriverIO & JavaScript: The Perfect Duo for Web Automationdigitaljignect
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In todays dynamic digital landscape, ensuring the quality and dependability of web applications is essential. While Selenium has been a longstanding solution for automating browser tasks, the integration of WebdriverIO (WDIO) with Selenium and JavaScript marks a significant advancement in automation testing. WDIO enhances the testing process by offering a robust interface that improves test creation, execution, and management. This amalgamation capitalizes on the strengths of both tools, leveraging Seleniums broad browser support and WDIOs modern, efficient approach to test automation. As automation testing becomes increasingly vital for faster development cycles and superior software releases, WDIO emerges as a versatile framework, particularly potent when paired with JavaScript, making it a preferred choice for contemporary testing teams.A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdf
A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdfPriyanka Aash
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A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy"Scaling in space and time with Temporal", Andriy Lupa.pdf
"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays
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Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself.
In this talk, Ill share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.Salesforce Summer '25 Release Frenchgathering.pptx.pdf
Salesforce Summer '25 Release Frenchgathering.pptx.pdfyosra Saidani
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Salesforce Summer '25 Release Frenchgathering.pptx.pdfQuantum AI: Where Impossible Becomes Probable
Quantum AI: Where Impossible Becomes ProbableSaikat Basu
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Imagine combining the "brains" of Artificial Intelligence (AI) with the "super muscles" of Quantum Computing. That's Quantum AI!
It's a new field that uses the mind-bending rules of quantum physics to make AI even more powerful.MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...
MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...Edge AI and Vision Alliance
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/mpu-a-transformative-solution-for-next-gen-ai-at-the-edge-a-presentation-from-fotonation/
Petronel Bigioi, CEO of FotoNation, presents the MPU+: A Transformative Solution for Next-Gen AI at the Edge tutorial at the May 2025 Embedded Vision Summit.
In this talk, Bigioi introduces MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image signal processor that enables leading image and video quality.
In addition, it integrates ultra-low-power object and motion detection capabilities to enable always-on computer vision. A programmable neural processor provides flexibility to efficiently implement new neural networks. And additional specialized engines facilitate image stabilization and audio enhancements." How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...Fwdays
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Let's talk about our history. How we started the project with a small vector database of less than 2 million records. Later, we received a request for +100 million records, then another +100... And so gradually we reached almost 1 billion. Standard tools were quickly running out of steam - we were running into performance, index size, and very limited resources. After a long series of trials and errors, we built our own low-cost cluster, which today stably processes thousands of queries to more than 1B vectors.Techniques for Automatic Device Identification and Network Assignment.pdf
Techniques for Automatic Device Identification and Network Assignment.pdfPriyanka Aash
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Techniques for Automatic Device Identification and Network AssignmentMPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...
MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...Edge AI and Vision Alliance
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Ad
Impact at dream a dream
- 1. ??
- 2. Sports and Dream A Dream Founded in 1999, Dream A Dream is an NGO that works with children from vulnerable backgrounds by developing Life Skills. Enhance the lives of ?? Children through programmes like Creative Arts, Sports, Adventure Camp, Mentoring and Learn IT. Dream Sports - Football and Rugby (518 children in the Football and 150 children in Rugby) Works on a partnership model with professional sports academies providing coached twice a week. Children not only learn the sport in a fun and engaging environment albeit also develop critical life skills such as team-work, creativity, problem solving, self-awareness, etc.
- 3. Impact Assessment The current Life Skills Assessment Tool designed by two U.K. based psychologists Dr. Dave Pearson and Dr. Fiona Kennedy. Derived from the WHO definition of Life Skills. We measure impact both quantitatively and qualitatively. Quantitatively Life Skills Assessment tool. Qualitatively Collecting stories of change. The Life Skills Assessment Tool is a structured questionnaire with a 5 parameters and 5 point scale. The 5 parameters are: Interaction Overcoming Difficulty Taking Initiative Resolving Conflicts Understanding instructions
- 4. Process of Impact Assessment When- 3 times in a year: Baseline, 1 st Term and End term. Who Dream A Dream employees. (Field coordinators, Programme coordinators or managers) How Through the observation of the child during a session. All employees are trained on how to use the Life Skills Assessment tool before they are sent out on the field. Coaches and Volunteers do not do the assessment at this time.
- 5. Difficulties with the LSA Tool Under Staffed Need for better training and more in debt explanation on the 5 parameters. People assessing the children are mostly ones who have not been interacting with them on a regular basis. Different assessors for the same batch. Lack of qualitative data. Different people collecting the data and different people entering the data. Lots of mandatory fields to be filled in the form sometimes ignored.
- 6. The Way Ahead Develop a new model independent of service partners. Hire and train coaches on life skills and how to use the LSA tool. Collect data only twice a year. Start batches only twice a year. Conduct a more intensive training for all staff and stakeholders involved.
- 7. Thank You!