Ron Dagdag
Engineering Manager at 7-Eleven and Microsoft AI MVP
Fort Worth, Texas, United States
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Ron Dagdag is a seasoned software engineering leader with over 20 years of experience driving innovation across retail, manufacturing, and tech services. As the R&D Engineering Manager at 7-Eleven, he spearheads transformative solutions that redefine the convenience experience. As a Microsoft MVP awarded in AI, Mixed Reality, and IoT, Ron is an active tech community member and international speaker, regularly sharing insights on emerging technologies at conferences and meetups. Ron is dedicated to advancing Augmented Intelligence. @rondagdag
Awards
Area of Expertise
Topics
AI Agents in web apps
Learn how to enhance React apps by embedding AI copilots that understand user needs—like having R2-D2 as a sidekick. This presentation explores integrating AI to read contextual data such as user inputs, form elements, and navigation patterns. Discover how AI copilots and large language models predict user intent, personalize interactions, and respond in real-time to create immersive experiences. Gain actionable insights to elevate your app's UX. May the AI be with you!
Build Intelligent applications with ML.NET and Windows Machine Learning
Need to integrate trained machine learning models into Windows apps? In this session, we will look into how Windows Machine Learning can transform applications with the power of artificial intelligence and run it on the devices by taking full advantage of hardware acceleration. We will walk thru and learn how to train a model with ML.NET Model Builder and inference with Windows Machine Learning.
Agentic AI Patterns
In this presentation, we’ll explore Agentic AI patterns by drawing a playful comparison to the Minions. Just like these quirky characters, AI Agents autonomously perform tasks, follow instructions, and work together toward a common goal. We’ll break down how these AI agents, much like Minions, are trained to handle specific tasks, communicate efficiently, and adapt to changing environments. Through this lighthearted analogy, we’ll see how Minions' chaotic teamwork mirrors the structured collaboration of AI agents, helping you grasp these advanced concepts in a fun and relatable way. Expect laughter and insights as we dive into the future of AI-enabled web apps.
Slim, Secure, Swift: Deploying Generative AI at the Edge
In AI, bigger isn’t always better—especially at the edge. Small language models are like Honda Civics: reliable, efficient, and cost-effective. Large models, like Ferraris, are powerful but resource-intensive. Compact models get the job done with less power and greater accessibility. This talk explores how lightweight models thrive at the edge, delivering faster responses, lower energy use, and flexibility. Be smart, slim, secure, and swift with your edge applications
AI Agents into Web Apps
In a galaxy not so far away, every user deserves a trusty sidekick like R2-D2—a copilot that truly understands their needs. What if our web apps could offer the same seamless interaction? In this presentation, we'll explore how to embed AI copilots into React apps to read contextual data, such as user inputs, form elements, and navigation patterns. These copilots can make your app smarter by anticipating user needs and responding to context in real-time, significantly enhancing engagement and responsiveness. We’ll also dive into how large language models (LLMs) predict user intent and personalize interactions, creating intuitive, immersive experiences. You'll leave with actionable insights to elevate your app’s UX. May the AI be with you!
What you will learn:
- Embed a contextual chat feature: Engage users by answering queries and performing tasks based on conversational inputs.
- Enable action-driven assistance: Allow the copilot to autonomously perform tasks, boosting interactivity and efficiency.
- Offer dynamic content recommendations: Suggest personalized content, tailoring the user experience to individual needs.
Leverage Power of Machine Learning with ONNX
Have you ever wanted to make your apps “smarter”? This session will cover what every ML/AI developer should know about Open Neural Network Exchange (ONNX) . Why it’s important and how it can reduce friction in incorporating machine learning models to your apps. We will show how to train models using the framework of your choice, save or convert models into ONNX, and deploy to cloud and edge using a high-performance runtime.
Developing Spidey Senses : Anomaly Detection for javascript apps
Anomaly detection is the process of identifying unexpected items or events in data sets. It’s about detecting the deviation from expected pattern of a dataset. It’s like having “spidey senses” for your apps that can detect when there’s danger or something is not right. Attend this session and learn about using anomaly detection in javascript and Cognitive Services API, become a superhero and save the day.
Making neural networks portable with ONNX
The world of machine learning frameworks is complex. What if we can use the lightest framework for inferencing on edge devices? That’s the idea behind ONNX format. Attend this session and find out how to train models using the framework of your choice, save or convert models into ONNX, and deploy to cloud and edge using a high-performance runtime in python, C# or javascript.
Mixed Reality for web developers
Mixed Reality (MR) has entered the web space with WebXR, enabling immersive experiences directly through browsers like Edge, Chrome, and the Meta Quest browser. Dive into this session to harness JavaScript for crafting captivating MR applications. Explore top-notch open-source AR/VR JavaScript libraries to kickstart your projects. Get ready for a hands-on demo that brings the potential of Mixed Reality to life. Join us to push the boundaries of digital interaction and step into the future of web-based MR.
Developing Spidey Sense : Anomaly Detection for apps
Anomaly detection is the process of identifying unexpected items or events in data sets. It’s about detecting the deviation from expected pattern of a dataset. It’s like having “spidey senses” for your apps that can detect when there’s danger or something is not right. Attend this session and learn about using anomaly detection in ML.NET, Azure Stream Analytics and Cognitive Services API; become a superhero and save the day.
Managing IoT Devices in Azure; the simpler way
Collecting telemetry data from devices is a common requirement today for any IoT solution. In this session, we will learn about Azure IoT Central and how it reduces the burden and cost of developing, managing, and maintaining IoT applications. Journey with me as we will walk through different features of IoT Central: connect devices, monitor, configure rules, and integrate with other services. Learn how to customize IoT central to fit the needs.
Wizardry of Prompt Engineering: AI Agents in Javascript
Think of prompts in a language model as magic spells: you say what you want, and like magic, it gives you an answer. Imagine AI agents as wizards, consulting their spell books (in this case, a special kind of AI called Generative Pre-trained Transformer, or GPT) to decide which spells (actions) to cast and when. In this session, we'll show you how to become a wizard yourself by teaching you to craft your own AI agents. Using tools like OpenAI, LangChainJS, and some clever trickery with words, you'll learn the art of prompt engineering. Ready to unlock the magic? Join us and say 'Alohomora!' to the world of AI."
On being a good Copilot Coach
With the advancement in Generative AI and Large Language Models, there's a fundamental shift on how we develop applications. Software engineers are not just building blueprints and code instructions, they are being called to be good Copilot coaches. Attend this presentation and learn practical strategies to effectively coach Agentic AI systems, allowing it to find the better version of itself.
Coaching Agents for C# devs
Prompts are essential for communicating with and guiding the behavior of Large Language Models (LLMs) AI. They serve as queries to elicit specific responses from the model. Think of Copilot as your personal mixologist, crafting new cocktail recipes using the available ingredients. Similarly, Semantic Kernel in C# leverages various plugins, AI prompts, and memory stores to devise an execution plan.
Join us to discover how Semantic Kernel can be harnessed to build a creative AI copilot capable of suggesting innovative cocktails. We'll develop a copilot that understands the ingredients but skips the headaches. Cheers!
You will learn:
When to use Semantic Kernel?
How to customize your own AI copilot
The Do's and Don'ts in building a copilot
Mastering the Magic: Coaching AI Copilots for Web Developers
Imagine a world where language model prompts function like spells in a wizard's repertoire—utter the right incantation, and voilà, you conjure the desired result. In this metaphorical landscape, AI Copilots are akin to skilled wizards, diligently consulting their magical spell book—in this case, using Large Language Models—to make informed decisions. This session aims to equip you with the skills you need to effectively 'coach' these AI Copilots. Why? Because coaching isn't just about instructing; it's about mastering the alchemy of prompt engineering. And in a world teeming with data and choices, this mastery serves as your Defense Against the Dark Arts, warding off potential pitfalls and guiding you toward successful, spellbinding outcomes. Join us to delve deep into the magical realm of AI coaching and prompt engineering, and elevate your skill set to a wizarding level.
Guiding Intelligence: Engineers as Coaches of Agentic AI
With the advancement in Generative AI and Large Language Models, there's a fundamental shift on how we develop applications. Engineers are not just building blueprints and code instructions, they are being called to be good AI coaches. Attend this presentation and learn practical strategies to effectively coach AI systems, allowing it to find the better version of itself.
What you'll learn:
- Art of AI coaching: Learn practical strategies to guide to optimize performance for specific applications.
- Leverage the latest advancements in AI technology to create smarter, more responsive systems
- Develop a collaborative AI development mindset
Coaching AI Agents & Prompt Engineering Techniques for JS Devs
Imagine a world where language model prompts function like spells in a wizard's repertoire—utter the right incantation, and voilà, you conjure the desired result. In this metaphorical landscape, AI Copilots are akin to skilled wizards, diligently consulting their magical spell book—in this case, Large Language Models—to make informed decisions. This session aims to equip you with the skills you need to effectively 'coach' these AI Agents. Why? Because coaching isn't just about instructing; it's about mastering the alchemy of prompt engineering. And in a world teeming with data and choices, this mastery serves as your Defense Against the Dark Arts, warding off potential pitfalls and guiding you toward successful, spellbinding outcomes. Join us to delve deep into the magical realm of AI coaching and prompt engineering, and elevate your skill set to a wizarding level.
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Ron Dagdag
Engineering Manager at 7-Eleven and Microsoft AI MVP
Fort Worth, Texas, United States
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