I create content about deep learning | The DevRel and Deep Learning Dude

I don’t wanna hop on call to learn about or see a demo of what you’re building. Too busy hacking on VLMs, curating multimodal datasets, and contributing to the open source community. 

Harpreet Sahota 🥑

It was great to be back in Boston last week and host another awesome meetup!

Thank you for everyone who showed up, our awesome lineup of speakers for taking time out of their schedules for delivering such informative talks: Anku Rani Hanhui Wang Sage Simhon Sharut G. 

And for Voxel51 for sponsoring!

If you missed the event, checkout the comments for where you can find the recordings of the talks

🤖 Hacker-in-Residence @ Voxel51| 👨🏽‍💻 AI/ML Engineer | 👷🏽‍♀️ Technical Developer Advocate | Learn. Do. Write. Teach. Repeat.

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i built a ComfyUI-inspired visual, node-based workflow editor for FiftyOne

now you can build dataset curation, analysis, and model evaluation pipelines by connecting nodes on a canvas, without writing code

give it a try and let me know what you think, completely open source and all you have to is `pip install fiftyone` and follow the instructions on the readme

everyone is hype about gtc, but the 3d vision conference is this week and i'm much hype for that

i made a repo and a dataset to explore the papers

checkout the repo here:
 https://lnkd.in/gRFz6Kb7

here's a dataset that you can use to explore the papers:
 https://lnkd.in/g2RA87fD

it's been a long, long while since i've done a live stream on linkedin, but it's happening in t-mius 8 minutes!

if you're interested in learning about how to work with video datasets using open source tools, open data, and open models...this is the session for you!

Join us on Feb 26 for Exploring Video Datasets with FiftyOne and Vision-Language Models. Register for the Zoom: https://lnkd.in/gCk7gGPi

Video is the hardest modality to work with — more data, more complexity, and annotation workflows that don’t scale. This hands-on session by Harpreet Sahota 🥑 shows how to understand what’s inside massive video datasets without manually watching thousands of clips.

You’ll learn how to:
🎬 Navigate and explore video datasets in the FiftyOne App and understand dataset structure
🔎 Compute embeddings with Qwen3-VL to enable semantic search, zero-shot classification, and clustering
📝 Generate video descriptions and localize events using vision-language models like Qwen3-VL and Molmo2
🧭 Visualize patterns and trends through embedding projections in FiftyOne
📏 Evaluate model outputs against Action100M’s hierarchical annotations

Perfect for ML engineers, data scientists, and computer vision teams working with large-scale video data who want practical workflows for exploration, curation, and debugging.

#computervision #machinelearning #ai #datascience #videoanalytics #visionlanguagemodels #mlops #opensource

Derek Van de Streek, Swati Bannore Jain and 11 other attendees

Feb 26 - Exploring Video Datasets with FiftyOne and Vision-Language Models

excited to be back in stuttart! if you're in the area and want to speak at the meetup on april 21st, send me a dm

Chief Community Officer @ Voxel51 | Startup Advisor

Are you based in the Stuttgart area? Consider speaking at the upcoming April 21 - Stuttgart AI, ML and Computer Vision Meetup: https://voxel51.com/speak

#computervision #ai #artificialintelligence #machinevision
#machinelearning #datascience #opensource #stuttgart

i've learned a lot from Eric Ma over the years, from the first time I saw one of his talks on principled data science workflows to talks he's given for my communities over the years, and his latest work on getting the most from coding agents.

check out his next talk, and support the SciPy community as well!

Together with my teammates, we solve biological problems with network science, deep learning and Bayesian methods.

As a data scientist, how much of your week is spent on work a coding agent could do?

I once planned multiple days of work for a machine learning experiment last year. This was an experiment that I had put off for an entire quarter because, as a team lead, I didn't have the time to block out the 3-4 afternoons that I thought I'd need. 

Instead, I described the problem to Claude Opus 4.5 via OpenCode, and it wrote the code, ran the training, found issues, switched strategies, and finished the whole thing in 20 minutes, complete with a written report drafted *with* figures referenced.

The data scientists who figure this out now will have an edge.

I'm teaching a workshop on how to do this flavour of agentic data science to raise funds for SciPy 2026's Financial Aid Program. You'll learn:

- Prescriptive prompting for experiments
- Project structure for agents
- Logging and verification strategies to enable automated control
- Report writing with AI
- Staying in control during EDA
- The minimalist version first

These are the same techniques I use in my personal projects and my teammates to compress data science timelines from days to minutes. I think you'll have a chance to learn something good while doing something good!

Details:

- Date: March 27 & April 3, 2026
- Time: 2:00-4:00 PM EST
- Venue: Google Meet (calendar invite will be provided)
- 40 spots available
- $1,000 minimum donation, paid directly to NumFOCUS (tax-deductible), student pricing: $200!

Video recordings available if you can't attend live.

Sign up here: https://lnkd.in/eFjc36Tb. I'm looking forward to seeing what you'll build with these techniques! 

P.S. If you can't make it but share it with others who have the means and would benefit from the workshop, I would deeply appreciate it!

Open article: Agentic Data Science Workshop | SciPy 2026 Fundraiser by agent-assisted-data-science.vercel.app

Agentic Data Science Workshop | SciPy 2026 Fundraiser

We just released a new AWS workshop that I’m really excited to finally share 👇
https://lnkd.in/eiNprTd7

This came from something I keep seeing across autonomy, robotics, and computer vision teams lately.

Most teams are not blocked by models anymore.
They are blocked by data and iteration speed.

So we wanted to show what a practical workflow actually looks like:
🚗 generate synthetic driving data
 🧠 auto label using foundation models
 🔧 fine tune a small vision language model
 ☁️ deploy and iterate using AWS SageMaker
 👀 inspect and improve everything inside FiftyOne

The goal was simple.

Build something real that teams could follow end to end.

Huge credit to Ryan Patrick Sweeney, Mark Vinciguerra, and Derick Thompson for driving this forward, along with great collaboration between Amazon Web Services (AWS), NVIDIA Omniverse, and Voxel51 🙌

Also excited that Voxel51 is now live on AWS Marketplace, which makes getting started a lot easier for teams working on computer vision and robotics workflows!

Personally, I think this is how a lot of Physical AI systems will get built going forward.

Faster loops between data, models, and deployment instead of long waiting cycles.

If you’re working on robotics, AV, or multimodal systems, I’d genuinely love to hear what you’re building.

More coming soon 🚀

#PhysicalAI #ComputerVision #Robotics #MultimodalAI #SyntheticData #AWS #MachineLearning #AutonomousSystems

Open article: GitHub - aws-samples/sample-finetuning-small-vlms-synthetic-data by github.com

Contribute to aws-samples/sample-finetuning-small-vlms-synthetic-data development by creating an account on GitHub.

GitHub - aws-samples/sample-finetuning-small-vlms-synthetic-data

I’m so happy to have my boi Wiz present at one of our meets!

AI @ NVIDIA - 🏗️ Build | 🚢 Ship | 🚀 Share

View Chris "The Wiz 🪄" Alexiuk’s profile

skills.md - you've seen it, you've probably used it (I assume if you're following this LinkedIn account, you're someone who uses tools like OpenCode/etc.

I'm excited to be yappin' about skills at an upcoming Voxel51 / Hugging Face virtual event with a line up that boggles the mind: 

Ben Burtenshaw, Daniel Ávila Arias, and AdonAI Vera.

My presentation will focus on something near and dear to my heart: Skills as documentation. 

The days of documentation aren't over - humans, and agents, still need to understand how things work - but they're changing quickly. Not everyone wants to read a thorough getting started guide that may be built for a specific system (and if it's not, it'll be ~2K words long) Sometimes, you just want to clone a repository - and get cooking. 

Skills help bridge that gap - context for LLMs, but tailored for a human experience. 

Can't wait for the event, come on out and ask any skill questions you have!

looking forward to hosting this workshop tomorrow, join me!

Join Harpreet Sahota 🥑 on Feb 26 for a virtual workshop to learn how to use Facebook's Action100M dataset and FiftyOne to build an end-to-end workflow - https://lnkd.in/gFvwbQni

What you'll learn:

* Navigate and explore video data in the FiftyOne App, filter samples, and understand dataset structure

* Compute embeddings with Qwen3-VL to enable semantic search, zero-shot classification, and clustering

* Generate descriptions and localize events using vision-language models like Qwen3-VL and Molmo2

* Visualize patterns in your data through embedding projections and the FiftyOne App

* Evaluate model outputs against Action100M's hierarchical annotations to validate what the models actually capture

By the end of the session, you'll have a reusable toolkit for understanding any video dataset at scale, whether you're curating training data, debugging model performance, or exploring a new domain.

***********

Want to build better computer vision models? FiftyOne is an open source toolkit from Voxel51 (our Meetup sponsor) that helps you curate datasets, evaluate model performance, visualize embeddings, catch annotation errors, and eliminate duplicate images—all in one place.

“pip install fiftyone” is all it takes to get started - https://docs.voxel51.com/

#computervision #ai #artificialintelligence #machinevision #machinelearning #datascience #opensource

George Firican

💬 Founder of LightsOnData.com and LightsOnData YouTube Channel
Focused on providing informative content such as ONLINE COURSES, templates, guides, best practices, articles, white papers, and other useful resources to help you with your data governance and data management questions and challenges

💬 Creator of online courses that are engaging, new, and thorough. 
Courses: Building an Award-Winning Business Glossary, Data Governance Maturity Models, Data Governance Fundamentals, etc. - check them out here: https://www.lightsondata.com/courses/

💬 Providing LinkedIn content strategy for data-focused companies and products, as well as those with a focus on artificial intelligence (AI), business intelligence (BI, data science, data management, and data governance areas.
Connect with me today and ask how I can help you reach the data audience.

💬 Host of Lights on Data Show - a podcast and LinkedIn Live weekly show that provides insights into the data world and showcases people that help to shape it.

💬 Get some fun data merchandise here: https://shop.spreadshirt.com/lightsondata/all

💬 International key note speaker, conference speaker, and panelist (spoken at over 60 different conferences).

💬 I love being on camera, hiking, surfing, filming, and video editing
YouTube: @LightsOnData


🏛 My experience and specialties: 
• Expertise in data governance, information quality, business intelligence & data management
• Extensive background in web and application development with experience of the full life-cycle of a project
• Strong leadership capabilities, organizational and communication skills

Specialties: 
• Enterprise information management: Information quality, data governance and stewardship, master data management, business intelligence, business process improvement
• Development: Web and application development, relational database design and development
• Planning: Budget and resource planning, agile and waterfall project management, team development and leadership
• Tools and Applications: Collibra, Tableau, MS Visio, MS Project, Premiere, Photoshop

Director, Data Governance & Business Intelligence

George Firican 💡

Pst…there’s a raffle coming up for a chance to snag a cool grand prize!

Join me at Data & Analytics After Hours on Monday, March 9th, 5:00–6:30 PM in the Exhibitor Showcase at the Gartner Data & Analytics Summit! 

I’ll be there with the wonderful:

💡Kate Strachnyi 
💡SCOTT TAYLOR  
💡Ravit Jain 
💡Aditi Jain  
💡Andreas Welsch 

Let me know if you can join.

Still need to register? Use code DATA2 to save $450 off registration: https://lnkd.in/gZh6rfQC

#GartnerDA #DataCommunity #DataSummit

💡 Award Winning Data Governance Leader | Content Creator & Influencer | Founder of LightsOnData | Podcast Host: Lights On Data Show | LinkedIn Top Voice

How do you scale AI without increasing risk at the same time?
Well…

Many organizations are still trying to figure this out.

Moving AI into production isn’t just a technology challenge.
It’s an AI and data governance challenge.
A risk challenge.

And often a coordination challenge between data, data science, and risk teams.

If this question is on your mind, this session at the Gartner Data & Analytics Summit should be an interesting one to attend.

Join Ali Can Toprak (Enterprise Data Governance Manager at ExxonMobil) and Felix Van de Maele (CEO & Co-Founder of Collibra) as they discuss how data management is evolving into a unified AI governance discipline.

What you’ll learn:
✅ How to bridge the gap between data, data science, and risk teams
✅ The secret to building a shared semantic context to scale AI
✅ How ExxonMobil strengthens accountability across the enterprise

⏱️ 1:15-1:45 PM 
📍 Sun 4, Level 2

See you there!

#data #AI #datagovernance #partnerpost

Collibra Gartner 2026 George Firican Felix Van de Maele

There was a large exodus from ChatGPT lately.
So which is your go-to LLM?

Graphic Source: Amit Rawal  

#llm #AI

Italy is known for many things: culture, incredible food, beautiful landscapes.
But during my visit, I also discovered something else:

Innovation.

At the Italian Pavilion I met Donato De Ieso (Co-Founder and CEO of dillium), who showed me what they are building with spatial computing and the Apple Vision Pro.

One example that stood out: creating interactive 3D models from simple photos.
Imagine being able to:

✅ Take a photo of a product and instantly turn it into a 3D model
✅ Zoom in, rotate it, or even explore inside it
✅ Break it apart piece by piece to understand how it works

This has huge implications for training, maintenance, design, and product visualization. Instead of transporting large equipment or complex machinery, you can interact with it digitally in a shared spatial environment.

It felt a bit like stepping into a "Tony Stark style" interface.

What I find fascinating is how technologies like spatial computing move us from just looking at data and models on a screen to actually interacting with them.

And that opens the door to entirely new ways of learning, collaborating, and making decisions.

Sometimes innovation shows up in the places you least expect it. Even between a cafe latte and a plate of pasta in Italy.

What industries do you think will benefit the most from spatial computing?

#innovation #VR #technology

Would you like one of these modular phones/ gadgets?

Why do you think these aren’t taking off?

Note: video not mine

#technology #tech #gadget

One of the most valuable things you get from the Gartner Data & Analytics Summit is perspective.

Not just from the sessions.
From the people.

At this summit there are hundreds of conversations happening between data leaders, architects, analysts, and governance professionals.

Some will be about AI.
Some about data platforms.
Some about governance and trust.

But many of the most interesting insights is also happening in the hallways, between sessions, and during those spontaneous meetups with people who care about the same challenges you do.

These are the conversations that spark ideas.
The ones that turn into collaborations months later.
The ones that remind you how strong and passionate this data community really is.

Looking forward to reconnecting with friends and meeting new people over the next few days.

If you are here as well, come say hello.

What is one topic you are most excited to discuss or learn about this week?

#Data #AI #GartnerDA

At the Zoho Analytics booth, we had a really interesting discussion about where analytics is heading across industries and…

…what it takes to turn data into decisions that actually shape how organizations operate.

And of course, there was a live demo.
It’s always fascinating to see how it approaches the journey from data → agentic insight → decision.

I also had the chance to sit down with Sailas Sundaram, Head of Product Strategy at Zoho Analytics, for a conversation about the evolving role of analytics and what teams should be thinking about as AI becomes more embedded in how we work with data.

(The full interview will be coming next week so watch out this space.)

I’m curious:
“What do you most want to see when a vendor gives an analytics demo at a conference?”

#data #analytics #AI

How many of you have run into these problems when trying to move AI into production?

⚠️ Governance and access issues
⚠️ Missing business context
⚠️ Data that can’t be trusted

This is where many promising AI initiatives stall.
The model works. The pilot looks great.

But connecting AI to real enterprise production data turns out to be the hard part.

If you’re here at Gartner D & A Summit 2026, this session tackles that exact challenge:
“AI Has a Production Data Problem. Here’s How Teams Are Solving It”

⏱️ Monday, March 9 | 1:40 - 2:00 PM
📍 Theater 1, Exhibit Showcase

The session explores how organizations are moving AI into production with Simba Intelligence, giving AI governed access to enterprise data without copying data, breaking pipelines, or losing control.

If you're curious how teams are solving this, it’s worth attending.

And if you'd like to start or continue the conversation, visit Simba Intelligence from insightsoftware at Booth 329.

#data #artificialintelligence #AI #partnerpost

Did you know the Inca civilization managed one of the largest empires in the Americas without a written language?

Instead, they used quipu. A system of knotted cords that allowed them to record numbers, track resources, and manage logistics across thousands of miles of roads.

All of that… centuries before spreadsheets, databases, or dashboards.

Sipping a cafe latte in an old Inca town made me think about how humans have always tried to bring order to information. Whether through knots in rope or modern data platforms, the goal has not changed much.

Understand what you have.
Organize it well.
Use it to make better decisions.

Different tools. Same mission.

Sometimes data history goes back further than we think.

Let’s keep putting the LightsOnData.
-George Firican 

#data #history

At conferences, I usually ask vendors one question:
“How does this help shape a decision?”

Not a prettier or quicker dashboard. A decision.

This year, I’m curious how analytics platforms are handling the shift toward AI-assisted and agentic experiences.

When a platform talks about AI-assisted or agentic analytics, I’m especially interested in:
✅ How it sits on top of a real data foundation
✅ How the semantic layer holds up
✅ How it helps shape decisions in practice 

That’s the lens I’m bringing to the Gartner floor this year.

Zoho Analytics is at Booth 428 and offering on-site demos, so if you’re evaluating BI or analytics platforms, it’s a chance to explore how they’re approaching this shift.

You can book a demo slot here:
https://lnkd.in/ekEpps8g 
Now I’m genuinely curious:

When you visit analytics booths at Gartner, what do you actually want to see demonstrated?

#data #analytics #partnerpost

Turning retail data into real business results can be a tough problem, but the solution isn’t more tech. It starts with grounding your data strategy in business outcomes and building from there.

In this article, I break down how retail teams can move from disconnected dashboards and siloed analytics to a practical, value-focused data strategy. 

Key lessons include: 
1️⃣ Start with the business problem not the tools + Clarify the goal first (like reducing churn or improving customer experience)
2️⃣ Empower better questions across teams so insights actually lead to action
3️⃣ Put data governance in place early to build trust in your numbers
4️⃣ Balance pace with capacity so you deliver wins without burning out
5️⃣ Build data literacy and ownership so everyone speaks the same language 

I also cover where the retail data push usually starts, how AI fits in practically (not hype), and what future trends are shaping smarter operations. 

If you work in retail or data and want strategies that actually move the needle, I hope this will help you:
https://lnkd.in/gEubetHW

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The Battle

Harpreet Sahota 🥑

George Firican 💡

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Harpreet Sahota 🥑's LinkedIn Performance

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Performance ScoreHarpreet Sahota 🥑's LinkedIn Performance