Name: [Sept 2025] Azure Data Factory - Get Your Data in the Cloud
Start: 2025-09-23T20:30:00.000Z
Location: LaFleur Marketing

We’re showcasing projects from the **Dallas AI Summer Program**. Each team will walk through their **problem**, **architecture**, **model/tooling choices**, and **lessons learned**. Expect real talk on what worked, what didn’t, and what they’d change next.

**Who should come?**
Builders, tinkerers, devs, product folks, students—anyone curious about practical AI systems and agentic patterns.

**1) Fitness Agent & Food App Agent**
*A data-driven personal trainer that adapts.* Habit-building meets meal planning. This team will show an agent that nudges fitness goals and a companion agent that helps with food choices and tracking

**2) Luma – Learn Smarter from YouTube Videos**
Turn passive watching into active learning. Luma gives AI-powered summaries, chat-with-video, smart notes/flashcards, and learning progress tracking—so tutorials actually stick. The team will dive into video ingestion, segmenting, semantic indexing, prompt design for note/flashcard generation, and guardrails to keep answers grounded.

**3) VoxPilot – Private, Voice-Augmented Browsing (On-Device)**
Browse by voice with natural commands—no scripts, no server data. VoxPilot runs on-device, blending speech-to-text, NLU, and safe action execution for accessibility, productivity, and privacy. The deep dive covers command parsing, action routing, DOM interaction, offline STT/NLU choices, and the security model.

Global AI Dallas / Fort Worth

Ron Dagdag

Chandra Jagarlamudi

LaGarius

Malik Keshwani

Keerthi Kumar

Pratik

Bhavani.R

Derrick Bozkurt

Mark

Vivek

jiaqicheng1998

Somesh Toleti

smile.al.d.way

Laura

Shan

Vladimir

Kristen

Rajesh Cheedalla

Dallas AI Summer Projects — Architecture & Deep-Dive Night

Improving

[Mindstone](https://www.linkedin.com/company/mindstonehq/), [Code \[Coogs\]](https://www.linkedin.com/company/code-coogs/) & [Energytech Nexus](https://www.linkedin.com/company/energy-tech-nexus/) have put together a fantastic lineup!

We are delighted to be joined by subject matter experts [Sidney Taylor](https://www.linkedin.com/in/sidneytaylor06/) (Data & AI Specialist, [Microsoft](https://www.linkedin.com/company/microsoft/)) and [Patricia McManus](https://www.linkedin.com/in/patriciatmcmanus/) (AI & Robotics, Houston City College) who are subject matter experts in AI on Microsoft Azure and Google, respectively. As an added bonus, we will be joined by [Glenn Wu](https://www.linkedin.com/in/glenn-wu-b6746037/) (CEO, [R&B Technology Group](https://www.linkedin.com/company/r-btechnologyholdingco-ltd-/)) to talk us through in-the-field use cases for causal AI!

What: Electric Ai Day, during Houston Energy & Climate Week
When: Sept 17, Wednesday
Where: Greenstreet, 10th floor 1201 Fannin St, Houston TX 77002
Registration Link: [Mindstone Houston September AI Meetup](https://community.mindstone.com/events/mindstone-houston-september-ai-meetup)

**Event Schedule:**
2:00 - Welcome
2:15 - Speaker Session 1: **Sid Taylor, Microsoft**
2:45 - Speaker Session 2: **Patricia McManus, Houston City College**
3:15 - Speaker Session 3: **Glenn Wu, R&B Tech Group**
3:45 - Closing/Networking - Join us for refreshments :)

Stage 2

2:15 - Nelish Garg & [Jonathan Cummins](https://www.linkedin.com/in/jonathan-cummins-58b326278/) \- Implementing agents with N8N for business automation\.
2:45 - Zheng Wang, Ph.D. - Research on continual learning in machine learning/AI

Thank you to our event sponsors, [Energytech Nexus](https://www.linkedin.com/company/energy-tech-nexus/), [Energy AI Solutions LLC](https://www.linkedin.com/company/energyaisolutions/) & [Mindstone](https://www.linkedin.com/company/mindstonehq/). Please visit the following sites for additional events during the week:

[Houston Energy and Climate Week](https://www.linkedin.com/company/houston-energy-week/) ([https://lnkd.in/gkaDC8eG](https://lnkd.in/gkaDC8eG))
[Houston Energy and Climate Startup Week](https://www.linkedin.com/company/houston-energy-climate-startup-week/) ([https://lnkd.in/eK5Wm84Y](https://lnkd.in/eK5Wm84Y))
[Energytech Nexus](https://www.linkedin.com/company/energy-tech-nexus/) ([https://lu.ma/ETN](https://lu.ma/ETN))

Global AI Houston

alicia.moniz

Darius Henry

John Ng 

Ashish Tripathi

Adaora Okekeocha

almaguer.isabel.m

Deepak Sridhar

Laura Kamrath

Steven F. Thomas

Benita

Tawab Attaie

adhitya

Khayyam

Suparna Srinivasan

John DosTW

Murtaza Taha

Mike

Kunle Odeyemi

Electric AI Day 2025

Green Street Downtown

**Agenda :**

* 04.00 to 4.15 PM ET: Food and Networking
* 4.15 to 5.30 PM ET: "Talk to AI Better: Advanced Prompt Engineering in Action"
* 5.30 to 6.30 PM ET: Self-Sponsored "AI Pint" ( Happy Hour ) at Founding Farmers Wiehle-Reston Metro Station, walking distance from the venue

Hello Everyone! Please join us for our September 17th edition of the AI-ML MeetUp. **Please note this is an in-person meeting and light refreshments/food will be provided.**

**Title:** Talk to AI Better: Advanced Prompt Engineering in Action

**Description:** The rapid growth of generative AI, driven by models like OpenAI's GPT-4.1, GPT-4.5, o3, and DeepSeek’s R1, has captured the attention of consumers, businesses, and executives worldwide. These powerful language models rely heavily on the quality of input prompts, making prompt engineering a vital skill for unlocking their full potential.

In this interactive, demo-driven session, participants will explore essential and advanced techniques in prompt design, including:
• What is Prompt Engineering?
• Advanced Prompting Techniques
• Few-shot Prompting (guiding responses with examples)
• Chain-of-Thought (CoT) Prompting (step-by-step reasoning)
• Instruction Fine-tuning (enforcing specific constraints)
• Persona-based Prompting (customizing for roles)
• Multi-step Prompting (iterative output refinement)
• Debugging & Refining AI Responses
• Leveraging reasoning models like o3
• Prompt Engineering Best Practices

Attendees will depart with a clear framework and practical suggestions for crafting effective prompts and maximizing the value of AI tools.

**Location:** The meeting will be hosted in the Applied Information Sciences ( AIS ) office in Reston, at 11440 Commerce Park Dr # 600 · Reston, VA. The location is also right off the Silver Line metro's Wiehle-Reston Metro Station.

**Parking:** The parking is paid and can be validated at the AIS office reception.

We will meet in Room Lake Anne/Newport.

We hope to see you all there!!!!

Artificial Intelligence and Machine Learning

Prashant G Bhoyar

Pushkar Ambaye

Douglas

Aditya Singh

Success Emmanuel 

Paul Wagner

HIREN DHOLARIA

Het Patel

bls14357

Lokesh Kumar

Kris

Ari Chanen

Juan E. Acha

Chuba

Khadija

Karen Dredske

Selvamohan Neethiraj

Warren Smith

AI-ML Meetup : Talk to AI Better: Advanced Prompt Engineering in Action

Applied Information Sciences, Inc

Since the pandemic, we are **online only**.

This group is for anyone interested in pursuing Machine Learning, Artificial Intelligence and Data Science. All skill levels are welcome. We help organize and support Kaggle challenge teams, Open AI challenges and try to provide career mentoring. Everyone is welcome to attend (even if you are not pursuing a career in AI).

We all have a lot of awesome ideas but we keep procrastinating, need an extra hand or can’t find the right time/motivation to execute. This is a space to be accountable for each other and execute our side projects. The codes and intellectual property of these projects will belong solely to the creators and not ConnectAITogether.

We intend to help you execute your AI or ML specific hobby projects.

We are dedicated to easing your learning and also facilitate your job search and career building. We intend to bring hiring managers and passionate job seekers a step closer and understand each others’ needs better.

Our mission is to facilitate an understanding of AI as an interdisciplinary field and acknowledgement that advancement in this field requires an understanding of Mathematics, Neuroscience, Computer science, Social Sciences and Humanities. We are driven to reaching the Third Wave of Artificial Intelligence and learn more and more.

Not a tutorial session and will not be led by anyone.

First Time Checklist (optional):

* Know python or start learning it.
* Suggest additions to this list.

More Settled In:

* Provide moral support and company.
* Start playing around in another Kaggle competition and encourage others to join you.
* Swap notes on good courses, academic programs, links for learning.
* Apply code used in past Kaggle competitions on a custom dataset that interests you.
* Meet people working advanced side projects.
* Already professionally established and learning something new.

Some people will come and go, as they just want to see what all this "ai" buzz is about. There are also a handful of usual suspects, who are studying and working side projects - come and say "hi"!

This Meetup has a strong focus on helping beginners. When none of the above is happening, we have a weekly discussion about anything tangentially related to data science.

ConnectAITogether

Timothy Haven

Bhavana T M

ashmitha171

Machine Learning and Kaggle

Online event

**Location:** In Person @ [LaFleur Marketing](https://lafleur.marketing/)

**Agenda:**

* 4:30 PM - 4:45 PM: Welcome and Introductions
* 4:45 PM - 5:45 PM:
**Azure Data Factory - Get Your Data in the Cloud - Jay von Rosen, Owner and Principal Consultant at JvR Enterprises**

Azure Data Factory is widely used as part of larger data analytics solutions. However, its core competency of moving and transforming data has many useful applications outside of data analytics. You can move your data from a legacy database into a new platform in Azure, compare data stores, and automatically merge data from various sources.

In this demo-focused session, we'll start with a simple but secure method to give ADF access to your internal data and load it into Azure. Moving to a new database platform is an opportunity to re-think your schemas, and may require complex transformations. This can be done with ADF's ability to transform data in data flows. Once the data transformations and loads are complete, ADF can then be used to compare and synchronize the data.
After this session, you will see the value of ADF as a solution for a variety of data integration needs.

* 5:45 PM - 6:00 PM: Networking and wrap-up.

West Michigan Azure User Group

Brian McKeiver

njean

Maruthi Phani Kumar

Tim B

Joseph Workman

phill hebenstreit

Cameron Klenk

Jay von Rosen

[Sept 2025] Azure Data Factory - Get Your Data in the Cloud

LaFleur Marketing

The Global AI Community

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