NI Connect 2026 - Revision history

KevinShirey at 14:02, 3 July 2026

2026-07-03T14:02:30Z

← Older revision		Revision as of 14:02, 3 July 2026
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	\|\| Jim Kring		\|\| Jim Kring
	\|\| Learn modern NI LabVIEW package management with VIPM—dependency tracking, CI/CD automation, CLI workflows, and next-gen approaches for reproducible builds.		\|\| Learn modern NI LabVIEW package management with VIPM—dependency tracking, CI/CD automation, CLI workflows, and next-gen approaches for reproducible builds.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Actor from Scratch: A Hands-On NI LabVIEW Workshop		\| Actor from Scratch: A Hands-On NI LabVIEW Workshop
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	\|\| Daniel Stark		\|\| Daniel Stark
	\|\| Demystify actor framework with a familiar queued message handler (QMH). Learn how messages, queues, and object-oriented programming map to actors for scalable, modular LabVIEW applications.		\|\| Demystify actor framework with a familiar queued message handler (QMH). Learn how messages, queues, and object-oriented programming map to actors for scalable, modular LabVIEW applications.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| NI TestStand and DQMH—One Architecture from the Development Bench to End-of-Line Test		\| NI TestStand and DQMH—One Architecture from the Development Bench to End-of-Line Test
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	\|\| Chris Roebuck		\|\| Chris Roebuck
	\|\| Learn how to combine DQMH and TestStand into a single, flexible test architectåure spanning bench validation, design verification, and end of line production test.		\|\| Learn how to combine DQMH and TestStand into a single, flexible test architectåure spanning bench validation, design verification, and end of line production test.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Real-Time AI in LabVIEW: DeepLTK for Vision, Signals, and Anomaly Detection		\| Real-Time AI in LabVIEW: DeepLTK for Vision, Signals, and Anomaly Detection
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	\|\| Alik Sargsyan		\|\| Alik Sargsyan
	\|\| Explore the DeepLTK workflow for building, training, and deploying real time AI in NI LabVIEW on GPUs and FPGAs for vision, signals, and anomaly detection.		\|\| Explore the DeepLTK workflow for building, training, and deploying real time AI in NI LabVIEW on GPUs and FPGAs for vision, signals, and anomaly detection.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Fork It, Fix It, Ship It: A Developer’s Guide to Open-Source Software		\| Fork It, Fix It, Ship It: A Developer’s Guide to Open-Source Software
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	\|\| Erich Schlieper, Casey May		\|\| Erich Schlieper, Casey May
	\|\| Get a practical guide to open-source contribution—from finding projects to forking repos, fixing issues, and submitting code changes with confidence.		\|\| Get a practical guide to open-source contribution—from finding projects to forking repos, fixing issues, and submitting code changes with confidence.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Actor Framework Everywhere!		\| Actor Framework Everywhere!
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	\|\| Allen Smith		\|\| Allen Smith
	\|\| Learn techniques for integrating and combining NI LabVIEW Actor Framework systems with other architectures, including traditional LabVIEW code, NI TestStand, DQMH, and distributed systems.		\|\| Learn techniques for integrating and combining NI LabVIEW Actor Framework systems with other architectures, including traditional LabVIEW code, NI TestStand, DQMH, and distributed systems.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Reconnecting with Academia to Develop the Talent Pathway		\| Reconnecting with Academia to Develop the Talent Pathway
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	\|\| Steve Watts, Casey Lamers		\|\| Steve Watts, Casey Lamers
	\|\| Learn how partnering with local universities can help develop the next generation of LabVIEW talent and strengthen regional hiring pipelines.		\|\| Learn how partnering with local universities can help develop the next generation of LabVIEW talent and strengthen regional hiring pipelines.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| GPUs and CPUs: A Rapid-Fire Set of Performance Optimizations		\| GPUs and CPUs: A Rapid-Fire Set of Performance Optimizations
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	\|\| Natan Biesmans		\|\| Natan Biesmans
	\|\| As seen at GDevCon: Gain practical insights into designing, developing, and troubleshooting NI LabVIEW applications, covering UI responsiveness, file-size reduction, and scalable architectures.		\|\| As seen at GDevCon: Gain practical insights into designing, developing, and troubleshooting NI LabVIEW applications, covering UI responsiveness, file-size reduction, and scalable architectures.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| NI LabVIEW Interfaces—Exploring Their Potential for Improving Our Code		\| NI LabVIEW Interfaces—Exploring Their Potential for Improving Our Code
Line 65:		Line 65:
	\|\| Paul Ross		\|\| Paul Ross
	\|\| As seen at GDevCon: When should you use interfaces instead of abstract classes? Learn how thin interfaces improve APIs, decouple legacy code, and enable cleaner LabVIEW architectures.		\|\| As seen at GDevCon: When should you use interfaces instead of abstract classes? Learn how thin interfaces improve APIs, decouple legacy code, and enable cleaner LabVIEW architectures.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Moving Beyond Example Code into Real-World Systems		\| Moving Beyond Example Code into Real-World Systems
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	\|\| Aaron Gelfand		\|\| Aaron Gelfand
	\|\| NI LabVIEW examples often fail in real systems. Learn how to harden reference designs with proper error-handling, recovery, and robustness for real-world deployment.		\|\| NI LabVIEW examples often fail in real systems. Learn how to harden reference designs with proper error-handling, recovery, and robustness for real-world deployment.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| COTS-Based RF Solutions for Scalable SatCom and Telemetry Validation		\| COTS-Based RF Solutions for Scalable SatCom and Telemetry Validation
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	\|\| Kyle MacCoy		\|\| Kyle MacCoy
	\|\| PXI RF test platforms provide scalable, modular, wideband solutions, combining high-performance instruments and customizable software for end-to-end system emulation and validation.		\|\| PXI RF test platforms provide scalable, modular, wideband solutions, combining high-performance instruments and customizable software for end-to-end system emulation and validation.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| A Class Act: How a Few Simple Design Patterns Can Improve Your Code Quality		\| A Class Act: How a Few Simple Design Patterns Can Improve Your Code Quality
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	\|\| Allen Smith		\|\| Allen Smith
	\|\| As seen at GDevCon: Get guidance on when and how to use object-oriented programming. Learn how simple patterns, including Factory, State, and Template Method, improve modularity and testability in LabVIEW code.		\|\| As seen at GDevCon: Get guidance on when and how to use object-oriented programming. Learn how simple patterns, including Factory, State, and Template Method, improve modularity and testability in LabVIEW code.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Test-Cell Automation: From Low-to-No-Code Datalogging to Real-Time Control		\| Test-Cell Automation: From Low-to-No-Code Datalogging to Real-Time Control
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	\|\| Tyler Clifton, Luca Ballarin		\|\| Tyler Clifton, Luca Ballarin
	\|\| Automate test cells for validation and endurance testing with NI FlexLogger™, SymplifyNow!, and NI VeriStand. Progress from high-fidelity logging to remote control and real-time sequencing.		\|\| Automate test cells for validation and endurance testing with NI FlexLogger™, SymplifyNow!, and NI VeriStand. Progress from high-fidelity logging to remote control and real-time sequencing.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Deploying and Managing LabVIEW Toolkits		\| Deploying and Managing LabVIEW Toolkits
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	\|\| Jan Göebel		\|\| Jan Göebel
	\|\| As seen at GDevCon: From missing dependencies to enterprise reuse, explore practical ways to share NI LabVIEW code using vi packages, libraries and DLLs through demos and discussion.		\|\| As seen at GDevCon: From missing dependencies to enterprise reuse, explore practical ways to share NI LabVIEW code using vi packages, libraries and DLLs through demos and discussion.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Building a Secure Development Process for NI LabVIEW		\| Building a Secure Development Process for NI LabVIEW
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	\|\| Morgan Hopkins, Steve Summers, Sarah Zalusky		\|\| Morgan Hopkins, Steve Summers, Sarah Zalusky
	\|\| The first step in building secure systems is to adopt a secure development process. Learn how to build secure test systems with NI tools		\|\| The first step in building secure systems is to adopt a secure development process. Learn how to build secure test systems with NI tools
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|-		\|-
	\| Open-Source Wrapping: The Gift That Keeps on Giving		\| Open-Source Wrapping: The Gift That Keeps on Giving
Line 107:		Line 107:
	\|\| Chris Davis		\|\| Chris Davis
	\|\| Learn how to wrap open‑source libraries to use with NI LabVIEW and integrate with Redis, Kafka, and other C, C++, C#, and Rust projects across Windows, Linux, and the NI LabVIEW RealTime Module.		\|\| Learn how to wrap open‑source libraries to use with NI LabVIEW and integrate with Redis, Kafka, and other C, C++, C#, and Rust projects across Windows, Linux, and the NI LabVIEW RealTime Module.
	\|\| YouTube \| Transcript		\|\| YouTube, Transcript
	\|}		\|}

KevinShirey at 14:01, 3 July 2026

2026-07-03T14:01:08Z

← Older revision		Revision as of 14:01, 3 July 2026
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	\|-		\|-
	\| VIPM 101: Modern Package Management for NI LabVIEW Teams		\| VIPM 101: Modern Package Management for NI LabVIEW Teams
	\|\| Wednesday, May 13 \| 10:15 AM - 11:15 AM		\|\| Wednesday, May 13 10:15 AM - 11:15 AM
	\|\| Jim Kring		\|\| Jim Kring
	\|\| Learn modern NI LabVIEW package management with VIPM—dependency tracking, CI/CD automation, CLI workflows, and next-gen approaches for reproducible builds.		\|\| Learn modern NI LabVIEW package management with VIPM—dependency tracking, CI/CD automation, CLI workflows, and next-gen approaches for reproducible builds.
Line 20:		Line 20:
	\|-		\|-
	\| Actor from Scratch: A Hands-On NI LabVIEW Workshop		\| Actor from Scratch: A Hands-On NI LabVIEW Workshop
	\|\| Wednesday, May 13 \| 10:15 AM - 11:15 AM		\|\| Wednesday, May 13 10:15 AM - 11:15 AM
	\|\| Daniel Stark		\|\| Daniel Stark
	\|\| Demystify actor framework with a familiar queued message handler (QMH). Learn how messages, queues, and object-oriented programming map to actors for scalable, modular LabVIEW applications.		\|\| Demystify actor framework with a familiar queued message handler (QMH). Learn how messages, queues, and object-oriented programming map to actors for scalable, modular LabVIEW applications.
Line 26:		Line 26:
	\|-		\|-
	\| NI TestStand and DQMH—One Architecture from the Development Bench to End-of-Line Test		\| NI TestStand and DQMH—One Architecture from the Development Bench to End-of-Line Test
	\|\| Wednesday, May 13 \| 11:30 AM - 12:30 PM		\|\| Wednesday, May 13 11:30 AM - 12:30 PM
	\|\| Chris Roebuck		\|\| Chris Roebuck
	\|\| Learn how to combine DQMH and TestStand into a single, flexible test architectåure spanning bench validation, design verification, and end of line production test.		\|\| Learn how to combine DQMH and TestStand into a single, flexible test architectåure spanning bench validation, design verification, and end of line production test.
Line 32:		Line 32:
	\|-		\|-
	\| Real-Time AI in LabVIEW: DeepLTK for Vision, Signals, and Anomaly Detection		\| Real-Time AI in LabVIEW: DeepLTK for Vision, Signals, and Anomaly Detection
	\|\| Wednesday, May 13 \| 11:30 AM - 12:30 PM		\|\| Wednesday, May 13 11:30 AM - 12:30 PM
	\|\| Alik Sargsyan		\|\| Alik Sargsyan
	\|\| Explore the DeepLTK workflow for building, training, and deploying real time AI in NI LabVIEW on GPUs and FPGAs for vision, signals, and anomaly detection.		\|\| Explore the DeepLTK workflow for building, training, and deploying real time AI in NI LabVIEW on GPUs and FPGAs for vision, signals, and anomaly detection.
Line 38:		Line 38:
	\|-		\|-
	\| Fork It, Fix It, Ship It: A Developer’s Guide to Open-Source Software		\| Fork It, Fix It, Ship It: A Developer’s Guide to Open-Source Software
	\|\| Wednesday, May 13 \| 2:30 PM - 3:30 PM		\|\| Wednesday, May 13 2:30 PM - 3:30 PM
	\|\| Erich Schlieper, Casey May		\|\| Erich Schlieper, Casey May
	\|\| Get a practical guide to open-source contribution—from finding projects to forking repos, fixing issues, and submitting code changes with confidence.		\|\| Get a practical guide to open-source contribution—from finding projects to forking repos, fixing issues, and submitting code changes with confidence.
Line 44:		Line 44:
	\|-		\|-
	\| Actor Framework Everywhere!		\| Actor Framework Everywhere!
	\|\| Wednesday, May 13 \| 2:30 PM - 3:30 PM		\|\| Wednesday, May 13 2:30 PM - 3:30 PM
	\|\| Allen Smith		\|\| Allen Smith
	\|\| Learn techniques for integrating and combining NI LabVIEW Actor Framework systems with other architectures, including traditional LabVIEW code, NI TestStand, DQMH, and distributed systems.		\|\| Learn techniques for integrating and combining NI LabVIEW Actor Framework systems with other architectures, including traditional LabVIEW code, NI TestStand, DQMH, and distributed systems.
Line 50:		Line 50:
	\|-		\|-
	\| Reconnecting with Academia to Develop the Talent Pathway		\| Reconnecting with Academia to Develop the Talent Pathway
	\|\| Wednesday, May 13 \| 3:45 PM - 4:45 PM		\|\| Wednesday, May 13 3:45 PM - 4:45 PM
	\|\| Steve Watts, Casey Lamers		\|\| Steve Watts, Casey Lamers
	\|\| Learn how partnering with local universities can help develop the next generation of LabVIEW talent and strengthen regional hiring pipelines.		\|\| Learn how partnering with local universities can help develop the next generation of LabVIEW talent and strengthen regional hiring pipelines.
Line 56:		Line 56:
	\|-		\|-
	\| GPUs and CPUs: A Rapid-Fire Set of Performance Optimizations		\| GPUs and CPUs: A Rapid-Fire Set of Performance Optimizations
	\|\| Wednesday, May 13 \| 3:45 PM - 4:45 PM		\|\| Wednesday, May 13 3:45 PM - 4:45 PM
	\|\| Natan Biesmans		\|\| Natan Biesmans
	\|\| As seen at GDevCon: Gain practical insights into designing, developing, and troubleshooting NI LabVIEW applications, covering UI responsiveness, file-size reduction, and scalable architectures.		\|\| As seen at GDevCon: Gain practical insights into designing, developing, and troubleshooting NI LabVIEW applications, covering UI responsiveness, file-size reduction, and scalable architectures.
Line 62:		Line 62:
	\|-		\|-
	\| NI LabVIEW Interfaces—Exploring Their Potential for Improving Our Code		\| NI LabVIEW Interfaces—Exploring Their Potential for Improving Our Code
	\|\| Thursday, May 14 \| 10:15 AM - 11:15 AM		\|\| Thursday, May 14 10:15 AM - 11:15 AM
	\|\| Paul Ross		\|\| Paul Ross
	\|\| As seen at GDevCon: When should you use interfaces instead of abstract classes? Learn how thin interfaces improve APIs, decouple legacy code, and enable cleaner LabVIEW architectures.		\|\| As seen at GDevCon: When should you use interfaces instead of abstract classes? Learn how thin interfaces improve APIs, decouple legacy code, and enable cleaner LabVIEW architectures.
Line 68:		Line 68:
	\|-		\|-
	\| Moving Beyond Example Code into Real-World Systems		\| Moving Beyond Example Code into Real-World Systems
	\|\| Thursday, May 14 \| 10:15 AM - 11:15 AM		\|\| Thursday, May 14 10:15 AM - 11:15 AM
	\|\| Aaron Gelfand		\|\| Aaron Gelfand
	\|\| NI LabVIEW examples often fail in real systems. Learn how to harden reference designs with proper error-handling, recovery, and robustness for real-world deployment.		\|\| NI LabVIEW examples often fail in real systems. Learn how to harden reference designs with proper error-handling, recovery, and robustness for real-world deployment.
Line 74:		Line 74:
	\|-		\|-
	\| COTS-Based RF Solutions for Scalable SatCom and Telemetry Validation		\| COTS-Based RF Solutions for Scalable SatCom and Telemetry Validation
	\|\| Thursday, May 14 \| 11:30 AM - 12:30 PM		\|\| Thursday, May 14 11:30 AM - 12:30 PM
	\|\| Kyle MacCoy		\|\| Kyle MacCoy
	\|\| PXI RF test platforms provide scalable, modular, wideband solutions, combining high-performance instruments and customizable software for end-to-end system emulation and validation.		\|\| PXI RF test platforms provide scalable, modular, wideband solutions, combining high-performance instruments and customizable software for end-to-end system emulation and validation.
Line 80:		Line 80:
	\|-		\|-
	\| A Class Act: How a Few Simple Design Patterns Can Improve Your Code Quality		\| A Class Act: How a Few Simple Design Patterns Can Improve Your Code Quality
	\|\| Thursday, May 14 \| 11:30 AM - 12:30 PM		\|\| Thursday, May 14 11:30 AM - 12:30 PM
	\|\| Allen Smith		\|\| Allen Smith
	\|\| As seen at GDevCon: Get guidance on when and how to use object-oriented programming. Learn how simple patterns, including Factory, State, and Template Method, improve modularity and testability in LabVIEW code.		\|\| As seen at GDevCon: Get guidance on when and how to use object-oriented programming. Learn how simple patterns, including Factory, State, and Template Method, improve modularity and testability in LabVIEW code.
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	\|-		\|-
	\| Test-Cell Automation: From Low-to-No-Code Datalogging to Real-Time Control		\| Test-Cell Automation: From Low-to-No-Code Datalogging to Real-Time Control
	\|\| Thursday, May 14 \| 2:00 PM - 3:00 PM		\|\| Thursday, May 14 2:00 PM - 3:00 PM
	\|\| Tyler Clifton, Luca Ballarin		\|\| Tyler Clifton, Luca Ballarin
	\|\| Automate test cells for validation and endurance testing with NI FlexLogger™, SymplifyNow!, and NI VeriStand. Progress from high-fidelity logging to remote control and real-time sequencing.		\|\| Automate test cells for validation and endurance testing with NI FlexLogger™, SymplifyNow!, and NI VeriStand. Progress from high-fidelity logging to remote control and real-time sequencing.
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	\|-		\|-
	\| Deploying and Managing LabVIEW Toolkits		\| Deploying and Managing LabVIEW Toolkits
	\|\| Thursday, May 14 \| 2:00 PM - 3:00 PM		\|\| Thursday, May 14 2:00 PM - 3:00 PM
	\|\| Jan Göebel		\|\| Jan Göebel
	\|\| As seen at GDevCon: From missing dependencies to enterprise reuse, explore practical ways to share NI LabVIEW code using vi packages, libraries and DLLs through demos and discussion.		\|\| As seen at GDevCon: From missing dependencies to enterprise reuse, explore practical ways to share NI LabVIEW code using vi packages, libraries and DLLs through demos and discussion.
Line 98:		Line 98:
	\|-		\|-
	\| Building a Secure Development Process for NI LabVIEW		\| Building a Secure Development Process for NI LabVIEW
	\|\| Thursday, May 14 \| 3:15 PM - 4:15 PM		\|\| Thursday, May 14 3:15 PM - 4:15 PM
	\|\| Morgan Hopkins, Steve Summers, Sarah Zalusky		\|\| Morgan Hopkins, Steve Summers, Sarah Zalusky
	\|\| The first step in building secure systems is to adopt a secure development process. Learn how to build secure test systems with NI tools		\|\| The first step in building secure systems is to adopt a secure development process. Learn how to build secure test systems with NI tools
Line 104:		Line 104:
	\|-		\|-
	\| Open-Source Wrapping: The Gift That Keeps on Giving		\| Open-Source Wrapping: The Gift That Keeps on Giving
	\|\| Thursday, May 14 \| 3:15 PM - 4:15 PM		\|\| Thursday, May 14 3:15 PM - 4:15 PM
	\|\| Chris Davis		\|\| Chris Davis
	\|\| Learn how to wrap open‑source libraries to use with NI LabVIEW and integrate with Redis, Kafka, and other C, C++, C#, and Rust projects across Windows, Linux, and the NI LabVIEW RealTime Module.		\|\| Learn how to wrap open‑source libraries to use with NI LabVIEW and integrate with Redis, Kafka, and other C, C++, C#, and Rust projects across Windows, Linux, and the NI LabVIEW RealTime Module.

KevinShirey at 14:00, 3 July 2026

2026-07-03T14:00:06Z

Show changes

KevinShirey at 13:49, 3 July 2026

2026-07-03T13:49:31Z

@@ Line 12: / Line 12: @@
 |-
 ! Session !! Date Time!! Presenter(s)!! Abstract !! Recording
 |-
 | Title

KevinShirey at 13:47, 3 July 2026

2026-07-03T13:47:20Z

← Older revision		Revision as of 13:47, 3 July 2026
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	{{infobox		{{infobox
	\|category=conference		\|category=conference
	\|conference-banner=~~NI_Connect_2025~~.png		\|conference-banner=2026_NI-EMR_Connect_FtWorth_Logos_RGB_green_blue.png
	\|conference-date=12-14th May 2026		\|conference-date=12-14th May 2026
	\|conference-url=https://www.ni.com/en/events/niconnect.html		\|conference-url=https://www.ni.com/en/events/niconnect.html

KevinShirey at 13:40, 3 July 2026

2026-07-03T13:40:07Z

← Older revision		Revision as of 13:40, 3 July 2026
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	\|\| About		\|\| About
	\|\| YouTube		\|\| YouTube
			\|}

	==External links==		==External links==

KevinShirey: ni connect 2026

2026-07-03T13:39:19Z

ni connect 2026

New page

{{prevnext|NI Connect 2026|Events|NI Connect 2027}}

{{infobox
|category=conference
|conference-banner=NI_Connect_2025.png
|conference-date=12-14th May 2026
|conference-url=https://www.ni.com/en/events/niconnect.html
}}

== Programming Essentials ==
{| class="wikitable sortable"
|-
! Session !! Date Time!! Presenter(s)!! Abstract !! Recording
|-
| Title
|| May 13, Wednesday 10:15 AM
|| Present
|| About
|| YouTube

==External links==
*[https://www.ni.com/en/events/niconnect/austin.html NI Connect Website]

[[Category:NI Connect]]
[[Category:NI Connect 2026]]