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A new Manchester based User Group - 27th November 2025, 18:00 to 20:00 BST

Thanks to Insight for hosting this user group at their Manchester office, Insight Manchester (8th Floor), Spinningfields, 3 Hardman St, Manchester M3 3HF.

Nearest NCP car park Spinningfields New Quay St, Manchester M3 3BE

Nearest train station is Deansgate - a 10 minute walk from the venue.

We’ll cover all the key news and announcements from Microsoft Ignite, with Martin Boam at Microsoft and MVP Tom Arbuthnot.

Co-organized and hosted with MVP Iain Smith from Insight

There will also be the chance to network with other community members during and after the event, so do stick around afterwards if you can!

Final PBIMCR of 2025

When: Thursday 27th of November 2025 Time: arrive for 530pm with talks starting from 6pm start prompt Location: Robert Walters, Number 1 Spinningfields, Manchester, M3 3EB Session will not be streamed over MS Teams Complimentary drinks & pizza provided by our hosts & sponsors Robert Walters

November's PBIMCR will feature ..... Speaker Details -

Talk 1: Juliana Smith Title: Uncovering the Secrets of Dashboard Design

Description: Great dashboards don’t just show data, they guide users to insights effortlessly. In this fast-paced session, we’ll unlock the power of alignment, white space, and page scanning patterns to create visually stunning, easy-to-navigate and accessible Power BI dashboards. Learn how to hack human perception with smart design choices, so your audience finds what they need before they even realise they’re looking for it! Expect real-world examples, and plenty of “aha!” moments. Ready to level up your dashboard game? Let’s go!

Talk 2: Matt Bromilow Talk Title: No More Defaults: AI Workflows for Unique Power BI Visuals

Description: This session is about using AI to build and implement custom visuals that serve real business needs. We’ll walk through a proven developer workflow coding and deploying a Power BI custom visual step by step with AI support. Along the way you’ll see how AI can speed up development, standardise the process, and make building visuals more accessible. Attendees will get a boilerplate to kickstart their own projects, and there will be live interaction as we bring a custom visual to life together.

Join us for Christmas Drinks at the Markets in Albert Square afterwards

There is an impossible choice most organizations face. Companies building modern AI face a brutal, binary-feeling decision: either ship a privacy-first model that “kinda low key sucks,” or ship a high-performing model that likely exposes sensitive personal data. Luckily, there's a third option, and that's what I will share with you in this episode! Check out Tonic Textual here: 👉 https://www.tonic.ai/products/textual 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction: The Ethical Dilemma in AI Development 01:21 - The "A Very Smith Health Solutions" LEAKED Zoom debate! 02:45 - Sensitive Data Discovery and Synthesis 03:41 - Redacting and Synthesizing Data with Tonic Textual 04:30 - Applications and Benefits 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Join our Microsoft Fabric - UK User Group for our latest webinar.

This session we are excited to announce our host Microsoft MVP Leon Gordon and co-host Microsoft MVP Pragati Jain will be introducing Juliana Smith.

Join the Microsoft Fabric UK - User Group on -

Microsoft Community - https://community.powerbi.com/t5/Power-BI-UK-User-Group/gh-p/pbi_UK_usergroup LinkedIn - https://www.linkedin.com/groups/8909321/ MeetUp - https://www.meetup.com/microsoft-power-bi-uk/

Session Abstract -

Great dashboards don’t just show data, they guide users to insights effortlessly. In this fast-paced session, we’ll unlock the power of alignment, white space, and page scanning patterns to create visually stunning, easy-to-navigate and accessible Power BI dashboards. Learn how to hack human perception with smart design choices, so your audience finds what they need before they even realise they’re looking for it! Expect real-world examples, and plenty of “aha!” moments. Ready to level up your dashboard game? Let’s go!

Biography

Juliana Smith is a multi-award-winning Chartered IT Professional with over 17 years’ experience spanning technology and data across diverse sectors. A recognised Power BI and User Interface design expert, she excels in crafting visually engaging, inclusive dashboards that enable stakeholders to make confident, data-driven decisions.

Social Media / Website Links https://www.linkedin.com/in/juliana-smith-citp https://smart-frames.co.uk/ https://youtube.com/@accessiblebi

Holly Smith will take a closer look at the three big projects in this space; Delta, Hudi and Iceberg. They’re all trying to solve for similar data problems and have tackled the various challenges in different ways. Her talk will start with the very basics of how we got here, what the history is before diving deep into the underlying tech, their roadmaps, and their impacts on the data landscape as a whole.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

Join us for day two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

Date and Time

Sept 11 at 9 AM Pacific

Location

Virtual. Register for the Zoom!

Bringing Specialist Agents to the Physical World to Improve Manufacturing Output

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

About the Speaker

Clinton Smith is the co-founder and CEO of RIOS, whose AI agents watch, optimize and control production in various industrial facilities, including deep penetration into wood products and lumber. Clinton previously was a Senior Member of the Research Staff at Xerox PARC, leading multiple Dept. of Energy & Dept. of Defense projects, and holds a PhD in Electrical Engineering from Princeton University and a BS in Computer Engineering from Georgia Tech.

Accelerating Robotics with Simulation

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

About the Speaker

Dr. Steve Xie is founder and CEO of Lightwheel, a company leading simulation infrastructure for embodied AI. Steve is a pioneer in generative-AI-powered simulation for robotics. He holds a B.S. from Peking University and a Ph.D. from Columbia University. Steve has led simulation efforts at NVIDIA and Cruise, where he built end-to-end synthetic data pipelines that set industry benchmarks for realism, scalability, and sim2real transfer.

Anomalib 2.0: Edge Inference and Model Deployment

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.

About the Speaker

Samet Akcay is an AI Research Engineer at Intel who leads ML research and development efforts across multiple Open Edge Platform libraries, including Intel Geti, Datumaro, Anomalib, Training Extensions, and Vision Inference libraries. His research specializes in semi/self-supervised learning, zero/few-shot learning, and multi-modal object and anomaly detection. He is the creator of Anomalib, a major open-source anomaly detection library.

Exploring Robotic Manipulation Datasets using FiftyOne: DROID and Amazon Armbench

About the Speaker

Allen Lee is currently a Machine Learning Engineer at Voxel51. Before that, Allen was the Co-Founder and Consulting Engineer at Leap Scientific LLC, where they provided scientific software consultancy services related to computation, machine learning, and computer vision.

What are the hidden dangers lurking beneath the surface of vibe coded apps and hyped-up CEO promises? And what is Influence Ops?I'm joined by Susanna Cox (Disesdi), an AI security architect, researcher, and red teamer who has been working at the intersection of AI and security for over a decade. She provides a masterclass on the current state of AI security, from explaining the "color teams" (red, blue, purple) to breaking down the fundamental vulnerabilities that make GenAI so risky.We dive into the recent wave of AI-driven disasters, from the Tea dating app that exposed its users' sensitive data to the massive Catholic Health breach. We also discuss why the trend of blindly vibe coding is an irresponsible and unethical shortcut that will create endless liabilities in the near term.Susanna also shares her perspective on AI policy, the myth of separating "responsible" from "secure" AI, and the one threat that truly keeps her up at night: the terrifying potential of weaponized globally scaled Influence Ops to manipulate public opinion and democracy itself.Find Disesdi Susanna Cox:Substack: https://disesdi.substack.com/Socials (LinkedIn, X, etc.): @DisesdiKEY MOMENTS:00:26 - Who is Disesdi Susanna Cox?03:52 - What are Red, Blue, and Purple Teams in Security?07:29 - Probabilistic vs. Deterministic Thinking: Why Data & Security Teams Clash12:32 - How GenAI Security is Different (and Worse) than Classical ML14:39 - Recent AI Disasters: Catholic Health, Agent Smith & the "T" Dating App18:34 - The Unethical Problem with "Vibe Coding"24:32 - "Vibe Companies": The Gaslighting from CEOs About AI30:51 - Why "Responsible AI" and "Secure AI" Are the Same Thing33:13 - Deconstructing the "Woke AI" Panic44:39 - What Keeps an AI Security Expert Up at Night? Influence Ops52:30 - The Vacuous, Haiku-Style Hellscape of LinkedIn

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

• Aug 26th: AI Webinar with Oracle (Ep 4) - Oracle Database 23ai brings AI to the database
• Aug 28th: AI Webinar with Oracle - Reap the benefits of RAG without the hassle
• Sep 3rd: AI Webinar with Docker - Local AI Development
• Sep 4th: AI Webinar with Oracle (Ep 5) - Use Knowledge graphs to transparently apply AI
• Sep 23rd: AI Webinar with Oracle (Ep 6) - MongoDB to Oracle – Switch and Use AI on Your Data and App *

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

• Aug 26th: AI Webinar with Oracle (Ep 4) - Oracle Database 23ai brings AI to the database
• Aug 28th: AI Webinar with Oracle - Reap the benefits of RAG without the hassle
• Sep 3rd: AI Webinar with Docker - Local AI Development
• Sep 4th: AI Webinar with Oracle (Ep 5) - Use Knowledge graphs to transparently apply AI
• Sep 23rd: AI Webinar with Oracle (Ep 6) - MongoDB to Oracle – Switch and Use AI on Your Data and App *

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

• Aug 26th: AI Webinar with Oracle (Ep 4) - Oracle Database 23ai brings AI to the database
• Aug 28th: AI Webinar with Oracle - Reap the benefits of RAG without the hassle
• Sep 3rd: AI Webinar with Docker - Local AI Development
• Sep 4th: AI Webinar with Oracle (Ep 5) - Use Knowledge graphs to transparently apply AI
• Sep 23rd: AI Webinar with Oracle (Ep 6) - MongoDB to Oracle – Switch and Use AI on Your Data and App *

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

• Aug 26th: AI Webinar with Oracle (Ep 4) - Oracle Database 23ai brings AI to the database
• Aug 28th: AI Webinar with Oracle - Reap the benefits of RAG without the hassle
• Sep 3rd: AI Webinar with Docker - Local AI Development
• Sep 4th: AI Webinar with Oracle (Ep 5) - Use Knowledge graphs to transparently apply AI
• Sep 23rd: AI Webinar with Oracle (Ep 6) - MongoDB to Oracle – Switch and Use AI on Your Data and App *

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

• Aug 26th: AI Webinar with Oracle (Ep 4) - Oracle Database 23ai brings AI to the database
• Aug 28th: AI Webinar with Oracle - Reap the benefits of RAG without the hassle
• Sep 3rd: AI Webinar with Docker - Local AI Development
• Sep 4th: AI Webinar with Oracle (Ep 5) - Use Knowledge graphs to transparently apply AI
• Sep 23rd: AI Webinar with Oracle (Ep 6) - MongoDB to Oracle – Switch and Use AI on Your Data and App *

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers *