talk-data.com

ANMELDUNG unter: https://analytics-pioneers.de/community-trainings

Inhalte: In diesem Training zeigen wir, wie sich mit BigQuery ML (BQML) das Verhalten von Kunden vorhersagen lässt – konkret: ob jemand ein Bank-Termingeld abschließen wird, basierend auf Telekommunikations- und demografischen Daten.

• Auswahl des passenden BQML-Modells & Modellarchitektur
• Datenvorverarbeitung direkt in der BigQuery-Konsole
• Modellevaluierung & Performance-Metriken

Datum: Freitag\, 30.01.2026 \| 10:00-12:00 Uhr Trainer: Daniel Schmidt mit Marcus Stade & Patrick Mohr

Das Training ist live und wird auf Deutsch gehalten. Es wird nicht aufgezeichnet.

ANMELDUNG

Bitte meldet euch hier kostenlos für das Training an: https://analytics-pioneers.de/community-trainings

ANMELDUNG unter: https://analytics-pioneers.de/community-trainings

***

Inhalte: In diesem Training zeigen wir, wie sich mit BigQuery ML (BQML) das Verhalten von Kunden vorhersagen lässt – konkret: ob jemand ein Bank-Termingeld abschließen wird, basierend auf Telekommunikations- und demografischen Daten.

• Auswahl des passenden BQML-Modells & Modellarchitektur
• Datenvorverarbeitung direkt in der BigQuery-Konsole
• Modellevaluierung & Performance-Metriken

Datum: Freitag\, 30.01.2026 \| 10:00-12:00 Uhr Trainer: Daniel Schmidt mit Marcus Stade & Patrick Mohr

Das Training ist live und wird auf Deutsch gehalten. Es wird nicht aufgezeichnet.

***

ANMELDUNG Bitte meldet euch hier kostenlos für das Training an: https://analytics-pioneers.de/community-trainings

This session introduces participants to PREreview, a community-driven platform designed to make peer review more open, inclusive, and equitable. We’ll explore the current research publishing landscape—from preprints to common challenges in traditional peer review—and discuss why transparent, community-centered reviewing matters.

Participants will learn how PREreview connects with open-source infrastructure and platforms like ORCID and Zenodo, see a demo of how to review manuscripts and datasets, and gain practical tools from the Open Reviewers workshop to write constructive, socially-conscious reviews. We’ll also share upcoming developments, ways to get involved, and how to engage through programs like PREreview Champions.

Outline By the end of this session, participants will be able to:

• Describe what PREreview is, why it was created, and how it fits into today’s research publishing landscape.
• Explain the role of preprints and open peer review, including the benefits and challenges of current review systems.
• Understand how PREreview supports open scholarship, including collaborations with ORCID, Zenodo, and other open communities.
• Use the PREreview platform to find, write, and publish constructive open reviews of manuscripts and datasets.
• Apply best practices for socially-conscious, constructive peer review, drawing from the Open Reviewers workshop.
• Identify upcoming PREreview features and ways to get involved—through reviewing, contributing to open source, or joining the Champions program.

---------------------------------------- How to Join the Webinar ---------------------------------------- You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar: https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

-------------------------------- Video Recording -------------------------------- This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YT and set your notifications: https://www.youtube.com/c/DataUmbrella/

---------------------------------------- Time ---------------------------------------- 17:00 UTC, 9am PT / 12pm ET / 6pm Paris / 8pm EAT ---------------------------------------- About the Speaker ---------------------------------------- Daniela Saderi, Ph.D. - ORCID: 0000-0002-6109-0367 - Dr. Daniela Saderi is the Co-founder and Executive Director of PREreview, a non-profit advancing open, community-centered peer review of early research objects by supporting researchers and experts—especially early-career and historically excluded scholars.

She earned her Ph.D. in neuroscience from Oregon Health & Science University in 2019, studying auditory processing in mammals, and was a 2018–2019 Mozilla Fellow for Open Science. Daniela envisions a scholarly ecosystem grounded in trust, care, and collective wisdom, where knowledge flows freely as a shared inheritance rather than a commodity.

LinkedIn: https://www.linkedin.com/in/daniela-saderi/ GitHub: https://github.com/dasaderi

---------------------------------------- Connect with Data Umbrella ---------------------------------------- We invite you to follow Data Umbrella on our social networking sites to keep up to date on the latest news.

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BACK TO COFFEE ROOM AGAIN!

Welcome to Appsterdam.

Whether you are a seasoned programmer or learning to code Apps, wouldn’t it be cool to run by your challenge with another programmer when you get stuck? Or you have questions, or simply want to be in the environment of other like-minded friends while you work on your project?

Welcome to Appsterdam.

Bring your laptop and get feedback, encouragement and support, no matter what level you are at.

Share and contribute. Get guidance. Feel good.

All levels are welcome, so don’t be shy.

In the future we plan to have break-out sessions where we will have short talks on valuable topics and also conduct mini-hackathons where all of us get to participate and learn together.

Maike and Daniel are super committed to have an inspired group.

We start at 9:30 and end at 11:30 sharp, so some a bit closer to 9:30 to make sure you get the help you desire.

Just ask and maybe we can help you with:

• Android Development

• iOS Development

• Flutter Development

• C++

• JavaScript

• Python

• Rust

• UX/UI Design (Adobe XD, Balsamiq, Keynote, Sketch, Figma)

BACK TO COFFEE ROOM AGAIN!

Welcome to Appsterdam.

Whether you are a seasoned programmer or learning to code Apps, wouldn’t it be cool to run by your challenge with another programmer when you get stuck? Or you have questions, or simply want to be in the environment of other like-minded friends while you work on your project?

Welcome to Appsterdam.

Bring your laptop and get feedback, encouragement and support, no matter what level you are at.

Share and contribute. Get guidance. Feel good.

All levels are welcome, so don’t be shy.

In the future we plan to have break-out sessions where we will have short talks on valuable topics and also conduct mini-hackathons where all of us get to participate and learn together.

Maike and Daniel are super committed to have an inspired group.

We start at 9:30 and end at 11:30 sharp, so some a bit closer to 9:30 to make sure you get the help you desire.

Just ask and maybe we can help you with:

• Android Development

• iOS Development

• Flutter Development

• C++

• JavaScript

• Python

• Rust

• UX/UI Design (Adobe XD, Balsamiq, Keynote, Sketch, Figma)

BACK TO COFFEE ROOM AGAIN!

Welcome to Appsterdam.

Whether you are a seasoned programmer or learning to code Apps, wouldn’t it be cool to run by your challenge with another programmer when you get stuck? Or you have questions, or simply want to be in the environment of other like-minded friends while you work on your project?

Welcome to Appsterdam.

Bring your laptop and get feedback, encouragement and support, no matter what level you are at.

Share and contribute. Get guidance. Feel good.

All levels are welcome, so don’t be shy.

In the future we plan to have break-out sessions where we will have short talks on valuable topics and also conduct mini-hackathons where all of us get to participate and learn together.

Maike and Daniel are super committed to have an inspired group.

We start at 9:30 and end at 11:30 sharp, so some a bit closer to 9:30 to make sure you get the help you desire.

Just ask and maybe we can help you with:

• Android Development

• iOS Development

• Flutter Development

• C++

• JavaScript

• Python

• Rust

• UX/UI Design (Adobe XD, Balsamiq, Keynote, Sketch, Figma)

BACK TO COFFEE ROOM AGAIN!

Welcome to Appsterdam.

Whether you are a seasoned programmer or learning to code Apps, wouldn’t it be cool to run by your challenge with another programmer when you get stuck? Or you have questions, or simply want to be in the environment of other like-minded friends while you work on your project?

Welcome to Appsterdam.

Bring your laptop and get feedback, encouragement and support, no matter what level you are at.

Share and contribute. Get guidance. Feel good.

All levels are welcome, so don’t be shy.

In the future we plan to have break-out sessions where we will have short talks on valuable topics and also conduct mini-hackathons where all of us get to participate and learn together.

Maike and Daniel are super committed to have an inspired group.

We start at 9:30 and end at 11:30 sharp, so some a bit closer to 9:30 to make sure you get the help you desire.

Just ask and maybe we can help you with:

• Android Development

• iOS Development

• Flutter Development

• C++

• JavaScript

• Python

• Rust

• UX/UI Design (Adobe XD, Balsamiq, Keynote, Sketch, Figma)

BACK TO COFFEE ROOM AGAIN!

Welcome to Appsterdam.

Whether you are a seasoned programmer or learning to code Apps, wouldn’t it be cool to run by your challenge with another programmer when you get stuck? Or you have questions, or simply want to be in the environment of other like-minded friends while you work on your project?

Welcome to Appsterdam.

Bring your laptop and get feedback, encouragement and support, no matter what level you are at.

Share and contribute. Get guidance. Feel good.

All levels are welcome, so don’t be shy.

In the future we plan to have break-out sessions where we will have short talks on valuable topics and also conduct mini-hackathons where all of us get to participate and learn together.

Maike and Daniel are super committed to have an inspired group.

We start at 9:30 and end at 11:30 sharp, so some a bit closer to 9:30 to make sure you get the help you desire.

Just ask and maybe we can help you with:

• Android Development

• iOS Development

• Flutter Development

• C++

• JavaScript

• Python

• Rust

• UX/UI Design (Adobe XD, Balsamiq, Keynote, Sketch, Figma)

BACK TO COFFEE ROOM AGAIN!

Welcome to Appsterdam.

Whether you are a seasoned programmer or learning to code Apps, wouldn’t it be cool to run by your challenge with another programmer when you get stuck? Or you have questions, or simply want to be in the environment of other like-minded friends while you work on your project?

Welcome to Appsterdam.

Bring your laptop and get feedback, encouragement and support, no matter what level you are at.

Share and contribute. Get guidance. Feel good.

All levels are welcome, so don’t be shy.

In the future we plan to have break-out sessions where we will have short talks on valuable topics and also conduct mini-hackathons where all of us get to participate and learn together.

Maike and Daniel are super committed to have an inspired group.

We start at 9:30 and end at 11:30 sharp, so some a bit closer to 9:30 to make sure you get the help you desire.

Just ask and maybe we can help you with:

• Android Development

• iOS Development

• Flutter Development

• C++

• JavaScript

• Python

• Rust

• UX/UI Design (Adobe XD, Balsamiq, Keynote, Sketch, Figma)

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.

This hands-on workshop introduces you to the Physical AI Workbench, a new layer of FiftyOne designed for autonomous vehicle, robotics, and 3D vision workflows. You’ll learn how to bridge the gap between raw sensor data and production-quality datasets, all from within FiftyOne’s interactive interface.

Date, Time and Location

Dec 16, 2025 9:00-10:00 AM Pacific Online. Register for the Zoom!

Through live demos, you’ll explore how to:

• Audit: Automatically detect calibration errors, timestamp misalignments, incomplete frames, and other integrity issues that arise from dataset format drift over time.
• Generate: Reconstruct and augment your data using NVIDIA pathways such as NuRec, COSMOS, and Omniverse, enabling realistic scene synthesis and physical consistency checks.
• Enrich: Integrate auto-labeling, embeddings, and quality scoring pipelines to enhance metadata and accelerate model training.
• Export and Loop Back: Seamlessly export to and re-import from interoperable formats like NCore to verify consistency and ensure round-trip fidelity.

You’ll gain hands-on experience with a complete physical AI dataset lifecycle—from ingesting real-world AV datasets like nuScenes and Waymo, to running 3D audits, projecting LiDAR into image space, and visualizing results in FiftyOne’s UI. Along the way, you’ll see how Physical AI Workbench automatically surfaces issues in calibration, projection, and metadata—helping teams prevent silent data drift and ensure reliable dataset evolution.

By the end, you’ll understand how the Physical AI Workbench standardizes the process of building calibrated, complete, and simulation-ready datasets for the physical world.

Who should attend

Data scientists, AV/ADAS engineers, robotics researchers, and computer vision practitioners looking to standardize and scale physical-world datasets for model development and simulation.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems.