Cambridge, MA
Nuvert AI Activation Summit
[Overview]
From insight to execution
The NuVert AI Activation Summit convened senior leaders, investors, technologists, and practitioners for a three-day, deeply substantive experience focused on one core challenge: how organizations actually lead, govern, and scale AI responsibly in the real world.
[Schedule]
Three days of insight & execution
Day 1: Framing the AI challenge — leadership, governance, and strategy
The Dimensions of Artificial Intelligence & Applications
Nadia delivered a compelling deep dive into an AI business strategy framework, unpacking 11 critical dimensions teams must consider when building or adopting AI—from AI maturity and model choices to data strategy, regulation, and value creation. The session came alive through real-world case studies from Maven AGI (customer support) and Descrybe AI(legal research), offering a clear roadmap for turning AI strategy into impact.
Working Lunch & Solution Salon
This wasn’t your average lunch break. Over great food, participants engaged in a dynamic, hands-on discussion about responsible AI adoption, sharing challenges, lessons learned, and solutions across sectors. A truly collaborative exchange of ideas.
Own the Data, Own the Future: Building an Unfair Competitive Advantage
Stephen made a strong case for why proprietary data—not models—is the real differentiator in today’s AI landscape. He explored the commoditization of AI models, falling compute costs, and practical strategies for nonprofits to build and scale AI capabilities for long-term advantage.
Investor Talk
Mark closed the day by zooming out to the big picture: the shift toward multimodal AI. He highlighted the importance of integrating multiple data modalities, adopting pragmatic AI strategies, and prioritizing security and compliance in this next wave of AI transformation.
Day 2: Implementation and Investment Strategies
The AI Paradox and How to Measure it with Q&A
Laurence unpacked the “AI paradox” leaders are feeling in real time: faster output doesn’t automatically equal better outcomes. He focused on what to measure (and what not to confuse for progress), giving participants practical ways to define baselines, track lift vs. risk, and evaluate AI initiatives with the same rigor they’d apply to any core business investment.
AI Strategy, Governance, and Executive
Bich delivered an operator’s guide to making AI real inside complex organizations - where models shift after deployment, regulations evolve, and boards demand decisions you can defend. Through a transformation case study, she emphasized that AI strategy is now a living strategy: probabilistic, enterprise-wide, and shared across legal, finance, security, HR, and technology. Key takeaways included defining clear human vs. machine decision boundaries, balancing centralized governance with federated innovation, and building auditability and observability into platforms so compliance and performance improve as systems scale.
Partner Co-op Stations
An interactive block where participants rotated through partner-led stations to explore tools, implementation patterns, and real use cases up close. Station 1 featured AIDEA (Geraldine García Medina) and lelumen (Bich-Thuy Le); Station 2 featured GoldStar (Thomas Baker) and TNT (Rob Blaine); Station 3 featured PhiLabs (Eduardo Baena).
Day 3: AI at Work — Productivity, Governance, and Regulation
AI at Work and Productivity with Q&A
Aleksandra Przegalińska examined why AI’s real productivity gains often fall short of expectations, despite rapid advances in capability. Drawing on long-term research in human-AI interaction, she emphasized collaborative use over delegation, highlighting how trust, onboarding, and governance shape outcomes. Her session reframed regulation as an enabler of responsible experimentation- arguing that clear guardrails are essential for scaling AI without eroding human judgment or expertise.
Moving from Pilots to Value
George Westerman addressed why most AI initiatives stall at the pilot stage and what it takes to achieve durable, enterprise-wide impact. He showed how successful organizations move beyond experimentation by pairing strong governance with clear ownership, change management, and measurable outcomes. The session focused on turning AI into a repeatable capability - one that augments work, improves quality, and delivers sustained value at scale.
[Attendees]
Leaders in the room
Meet some of the leaders who joined us. This highlights just a few of the many people who helped make the Summit what it was.
[Host]
The hosts behind Nuvert
NuVert is led by a team of experienced technologists, strategists, and educators. With backgrounds spanning AI engineering, public service, enterprise operations, and global governance, we focus on turning AI ambition into trusted, real-world capability.
[Who Participated]
Meet the experts
Speakers included professors and leading innovators from the Harvard–MIT ecosystem together with senior practitioners actively driving real-world AI transformations across healthcare, the public sector, philanthropy, and enterprise.
[Our gallery]
Another glimpse at Nuvert's AI Activation Summit.
Let's work together!
Learn how NuVert can help turn AI strategy into real impact.
Cambridge, MA
Cambridge, MA
Nuvert AI Activation Summit
Join us live in New York
Early bird tickets now available
Limited seats available
Reserve your spot now
[Overview]
From insight to execution
The NuVert AI Activation Summit convened senior leaders, investors, technologists, and practitioners for a three-day, deeply substantive experience focused on one core challenge: how organizations actually lead, govern, and scale AI responsibly in the real world.
[Why Attend]
Unleash the Potential of Your Conference
30+ World Class Speakers
Gain insights and connect with visionary industry leaders from around the world.
Engaging Keynote
Hear from hand-picked industry leaders and pioneers sharing exclusive insights.
15+ Expert-Led Workshop
Dive into practical skills with focused sessions led by subject-matter experts.
Dynamic Breakout Sessions
Foster innovation and collaboration through focused, in-depth discussions.
60+ Countries Represented
Network with a broad mix of peers and experts from over 60 countries.
Networking Opportunities
Forge lasting connections with like-minded professionals and future collaborators.
[Who Participated]
Meet the experts
Speakers included professors and leading innovators from the Harvard–MIT ecosystem together with senior practitioners actively driving real-world AI transformations across healthcare, the public sector, philanthropy, and enterprise.
[Schedule]
Three days of insight & execution
Day 1: Framing the AI challenge
Day 1: Framing the AI challenge
The Dimensions of Artificial Intelligence & Applications
Nadia delivered a compelling deep dive into an AI business strategy framework, unpacking 11 critical dimensions teams must consider when building or adopting AI—from AI maturity and model choices to data strategy, regulation, and value creation. The session came alive through real-world case studies from Maven AGI (customer support) and Descrybe AI(legal research), offering a clear roadmap for turning AI strategy into impact.
The Dimensions of Artificial Intelligence & Applications
Nadia delivered a compelling deep dive into an AI business strategy framework, unpacking 11 critical dimensions teams must consider when building or adopting AI—from AI maturity and model choices to data strategy, regulation, and value creation. The session came alive through real-world case studies from Maven AGI (customer support) and Descrybe AI(legal research), offering a clear roadmap for turning AI strategy into impact.
Working Lunch & Solution Salon
This wasn’t your average lunch break. Over great food, participants engaged in a dynamic, hands-on discussion about responsible AI adoption, sharing challenges, lessons learned, and solutions across sectors. A truly collaborative exchange of ideas.
Working Lunch & Solution Salon
This wasn’t your average lunch break. Over great food, participants engaged in a dynamic, hands-on discussion about responsible AI adoption, sharing challenges, lessons learned, and solutions across sectors. A truly collaborative exchange of ideas.
Own the Data, Own the Future: Building an Unfair Competitive Advantage
Stephen made a strong case for why proprietary data—not models—is the real differentiator in today’s AI landscape. He explored the commoditization of AI models, falling compute costs, and practical strategies for nonprofits to build and scale AI capabilities for long-term advantage.
Own the Data, Own the Future: Building an Unfair Competitive Advantage
Stephen made a strong case for why proprietary data—not models—is the real differentiator in today’s AI landscape. He explored the commoditization of AI models, falling compute costs, and practical strategies for nonprofits to build and scale AI capabilities for long-term advantage.
Investor Talk
Mark closed the day by zooming out to the big picture: the shift toward multimodal AI. He highlighted the importance of integrating multiple data modalities, adopting pragmatic AI strategies, and prioritizing security and compliance in this next wave of AI transformation.
Investor Talk
Mark closed the day by zooming out to the big picture: the shift toward multimodal AI. He highlighted the importance of integrating multiple data modalities, adopting pragmatic AI strategies, and prioritizing security and compliance in this next wave of AI transformation.
Day 2: Implementation and Investment Strategies
Day 2: Implementation and Investment Strategies
The AI Paradox and How to Measure it with Q&A
Laurence unpacked the “AI paradox” leaders are feeling in real time: faster output doesn’t automatically equal better outcomes. He focused on what to measure (and what not to confuse for progress), giving participants practical ways to define baselines, track lift vs. risk, and evaluate AI initiatives with the same rigor they’d apply to any core business investment.
The AI Paradox and How to Measure it with Q&A
Laurence unpacked the “AI paradox” leaders are feeling in real time: faster output doesn’t automatically equal better outcomes. He focused on what to measure (and what not to confuse for progress), giving participants practical ways to define baselines, track lift vs. risk, and evaluate AI initiatives with the same rigor they’d apply to any core business investment.
AI Strategy, Governance, and Executive
Bich delivered an operator’s guide to making AI real inside complex organizations - where models shift after deployment, regulations evolve, and boards demand decisions you can defend. Through a transformation case study, she emphasized that AI strategy is now a living strategy: probabilistic, enterprise-wide, and shared across legal, finance, security, HR, and technology. Key takeaways included defining clear human vs. machine decision boundaries, balancing centralized governance with federated innovation, and building auditability and observability into platforms so compliance and performance improve as systems scale.
AI Strategy, Governance, and Executive
Bich delivered an operator’s guide to making AI real inside complex organizations - where models shift after deployment, regulations evolve, and boards demand decisions you can defend. Through a transformation case study, she emphasized that AI strategy is now a living strategy: probabilistic, enterprise-wide, and shared across legal, finance, security, HR, and technology. Key takeaways included defining clear human vs. machine decision boundaries, balancing centralized governance with federated innovation, and building auditability and observability into platforms so compliance and performance improve as systems scale.
Partner Co-op Stations
An interactive block where participants rotated through partner-led stations to explore tools, implementation patterns, and real use cases up close. Station 1 featured AIDEA (Geraldine García Medina) and lelumen (Bich-Thuy Le); Station 2 featured GoldStar (Thomas Baker) and TNT (Rob Blaine); Station 3 featured PhiLabs (Eduardo Baena).
Partner Co-op Stations
An interactive block where participants rotated through partner-led stations to explore tools, implementation patterns, and real use cases up close. Station 1 featured AIDEA (Geraldine García Medina) and lelumen (Bich-Thuy Le); Station 2 featured GoldStar (Thomas Baker) and TNT (Rob Blaine); Station 3 featured PhiLabs (Eduardo Baena).
Day 3: AI at work
Day 3: AI at work
AI at Work and Productivity with Q&A
Aleksandra Przegalińska examined why AI’s real productivity gains often fall short of expectations, despite rapid advances in capability. Drawing on long-term research in human-AI interaction, she emphasized collaborative use over delegation, highlighting how trust, onboarding, and governance shape outcomes. Her session reframed regulation as an enabler of responsible experimentation- arguing that clear guardrails are essential for scaling AI without eroding human judgment or expertise.
AI at Work and Productivity with Q&A
Aleksandra Przegalińska examined why AI’s real productivity gains often fall short of expectations, despite rapid advances in capability. Drawing on long-term research in human-AI interaction, she emphasized collaborative use over delegation, highlighting how trust, onboarding, and governance shape outcomes. Her session reframed regulation as an enabler of responsible experimentation- arguing that clear guardrails are essential for scaling AI without eroding human judgment or expertise.
Moving from Pilots to Value
George Westerman addressed why most AI initiatives stall at the pilot stage and what it takes to achieve durable, enterprise-wide impact. He showed how successful organizations move beyond experimentation by pairing strong governance with clear ownership, change management, and measurable outcomes. The session focused on turning AI into a repeatable capability - one that augments work, improves quality, and delivers sustained value at scale.
Moving from Pilots to Value
George Westerman addressed why most AI initiatives stall at the pilot stage and what it takes to achieve durable, enterprise-wide impact. He showed how successful organizations move beyond experimentation by pairing strong governance with clear ownership, change management, and measurable outcomes. The session focused on turning AI into a repeatable capability - one that augments work, improves quality, and delivers sustained value at scale.
Connect to Content
Add layers or components to infinitely loop on your page.
[Plan]
Unlock the Experience That Suits You
General
Entry level access with a very essential perks included.
$299
“Early Bird: $249 until July 15”
⏳ Only 100 Early Bird spots left
What's included
Full access to all keynotes
Entry to breakout sessions
Conference swag kit
👑 VIP Pass
Top-tier luxury treatment with exclusive benefits.
$600
“Early Bird: $599 until July 15”
⏳ Only 30 Early Bird spots left
What's included
All General Pass access
Priority front-row seating
Exclusive networking sessions
Student
Entry level access with a very essential perks included.
$199
“Early Bird: $49 until July 15”
⏳ Only 100 Early Bird spots left
What's included
Full access to all keynotes
Entry to breakout sessions
Valid student ID card required
[Attendees]
Leaders in the room
Meet some of the leaders who joined us. This highlights just a few of the many people who helped make the Summit what it was.
[Host]
Meet the Hosts Behind Nuvert
NuVert is led by a team of experienced technologists, strategists, and educators. With backgrounds spanning AI engineering, public service, enterprise operations, and global governance, we focus on turning AI ambition into trusted, real-world capability.
[FAQ]
Questions Answered
Find answers to commonly asked questions about our tech event.
How can I register for the Confexpro?
To register, simply visit our event website and complete the registration form. Once submitted, you’ll receive a confirmation email with your ticket and event details. Early registration is recommended to secure your spot.
What is included in the ticket price?
Your ticket gets you access to the event, all talks and workshops, coffee/snacks, goodie bag, and access to post-event recordings.
Can I refund or transfer my ticket?
Tickets are non-refundable, but you’re welcome to transfer your ticket to someone else. Just email us the new name and email address before June 10.
When and where is the event taking place?
The event will take place on Mar 10,2024 at 4140 Parker Rd. Allentown, New Mexico 31134
Are there networking opportunities at the event?
Absolutely! The Creative Design Meetup includes dedicated networking sessions, panel discussions, and workshops, providing ample opportunities to connect with fellow attendees.
Countdown finished!
[Our gallery]
Another glimpse at Nuvert's AI Activation Summit.
Cambridge, MA
Cambridge, MA
Nuvert AI Activation Summit
Join us live in New York
Early bird tickets now available
Limited seats available
Reserve your spot now
[Overview]
From insight to execution
The NuVert AI Activation Summit convened senior leaders, investors, technologists, and practitioners for a three-day, deeply substantive experience focused on one core challenge: how organizations actually lead, govern, and scale AI responsibly in the real world.
[Why Attend]
Unleash the Potential of Your Conference
30+ World Class Speakers
Gain insights and connect with visionary industry leaders from around the world.
Engaging Keynote
Hear from hand-picked industry leaders and pioneers sharing exclusive insights.
15+ Expert-Led Workshop
Dive into practical skills with focused sessions led by subject-matter experts.
Dynamic Breakout Sessions
Foster innovation and collaboration through focused, in-depth discussions.
60+ Countries Represented
Network with a broad mix of peers and experts from over 60 countries.
Networking Opportunities
Forge lasting connections with like-minded professionals and future collaborators.
[Who Participated]
Meet the experts
Speakers included professors and leading innovators from the Harvard–MIT ecosystem together with senior practitioners actively driving real-world AI transformations across healthcare, the public sector, philanthropy, and enterprise.
[Schedule]
Three days of insight & execution
Day 1: The challenge
Day 1: The challenge
The Dimensions of Artificial Intelligence & Applications
Nadia delivered a compelling deep dive into an AI business strategy framework, unpacking 11 critical dimensions teams must consider when building or adopting AI—from AI maturity and model choices to data strategy, regulation, and value creation. The session came alive through real-world case studies from Maven AGI (customer support) and Descrybe AI(legal research), offering a clear roadmap for turning AI strategy into impact.
The Dimensions of Artificial Intelligence & Applications
Nadia delivered a compelling deep dive into an AI business strategy framework, unpacking 11 critical dimensions teams must consider when building or adopting AI—from AI maturity and model choices to data strategy, regulation, and value creation. The session came alive through real-world case studies from Maven AGI (customer support) and Descrybe AI(legal research), offering a clear roadmap for turning AI strategy into impact.
Working Lunch & Solution Salon
This wasn’t your average lunch break. Over great food, participants engaged in a dynamic, hands-on discussion about responsible AI adoption, sharing challenges, lessons learned, and solutions across sectors. A truly collaborative exchange of ideas.
Working Lunch & Solution Salon
This wasn’t your average lunch break. Over great food, participants engaged in a dynamic, hands-on discussion about responsible AI adoption, sharing challenges, lessons learned, and solutions across sectors. A truly collaborative exchange of ideas.
Own the Data, Own the Future: Building an Unfair Competitive Advantage
Stephen made a strong case for why proprietary data—not models—is the real differentiator in today’s AI landscape. He explored the commoditization of AI models, falling compute costs, and practical strategies for nonprofits to build and scale AI capabilities for long-term advantage.
Own the Data, Own the Future: Building an Unfair Competitive Advantage
Stephen made a strong case for why proprietary data—not models—is the real differentiator in today’s AI landscape. He explored the commoditization of AI models, falling compute costs, and practical strategies for nonprofits to build and scale AI capabilities for long-term advantage.
Investor Talk
Mark closed the day by zooming out to the big picture: the shift toward multimodal AI. He highlighted the importance of integrating multiple data modalities, adopting pragmatic AI strategies, and prioritizing security and compliance in this next wave of AI transformation.
Investor Talk
Mark closed the day by zooming out to the big picture: the shift toward multimodal AI. He highlighted the importance of integrating multiple data modalities, adopting pragmatic AI strategies, and prioritizing security and compliance in this next wave of AI transformation.
Day 2: Implementation
Day 2: Implementation
The AI Paradox and How to Measure it with Q&A
Laurence unpacked the “AI paradox” leaders are feeling in real time: faster output doesn’t automatically equal better outcomes. He focused on what to measure (and what not to confuse for progress), giving participants practical ways to define baselines, track lift vs. risk, and evaluate AI initiatives with the same rigor they’d apply to any core business investment.
The AI Paradox and How to Measure it with Q&A
Laurence unpacked the “AI paradox” leaders are feeling in real time: faster output doesn’t automatically equal better outcomes. He focused on what to measure (and what not to confuse for progress), giving participants practical ways to define baselines, track lift vs. risk, and evaluate AI initiatives with the same rigor they’d apply to any core business investment.
AI Strategy, Governance, and Executive
Bich delivered an operator’s guide to making AI real inside complex organizations - where models shift after deployment, regulations evolve, and boards demand decisions you can defend. Through a transformation case study, she emphasized that AI strategy is now a living strategy: probabilistic, enterprise-wide, and shared across legal, finance, security, HR, and technology. Key takeaways included defining clear human vs. machine decision boundaries, balancing centralized governance with federated innovation, and building auditability and observability into platforms so compliance and performance improve as systems scale.
AI Strategy, Governance, and Executive
Bich delivered an operator’s guide to making AI real inside complex organizations - where models shift after deployment, regulations evolve, and boards demand decisions you can defend. Through a transformation case study, she emphasized that AI strategy is now a living strategy: probabilistic, enterprise-wide, and shared across legal, finance, security, HR, and technology. Key takeaways included defining clear human vs. machine decision boundaries, balancing centralized governance with federated innovation, and building auditability and observability into platforms so compliance and performance improve as systems scale.
Partner Co-op Stations
An interactive block where participants rotated through partner-led stations to explore tools, implementation patterns, and real use cases up close. Station 1 featured AIDEA (Geraldine García Medina) and lelumen (Bich-Thuy Le); Station 2 featured GoldStar (Thomas Baker) and TNT (Rob Blaine); Station 3 featured PhiLabs (Eduardo Baena).
Partner Co-op Stations
An interactive block where participants rotated through partner-led stations to explore tools, implementation patterns, and real use cases up close. Station 1 featured AIDEA (Geraldine García Medina) and lelumen (Bich-Thuy Le); Station 2 featured GoldStar (Thomas Baker) and TNT (Rob Blaine); Station 3 featured PhiLabs (Eduardo Baena).
Day 3: AI at work
Day 3: AI at work
AI at Work and Productivity with Q&A
Aleksandra Przegalińska examined why AI’s real productivity gains often fall short of expectations, despite rapid advances in capability. Drawing on long-term research in human-AI interaction, she emphasized collaborative use over delegation, highlighting how trust, onboarding, and governance shape outcomes. Her session reframed regulation as an enabler of responsible experimentation- arguing that clear guardrails are essential for scaling AI without eroding human judgment or expertise.
AI at Work and Productivity with Q&A
Aleksandra Przegalińska examined why AI’s real productivity gains often fall short of expectations, despite rapid advances in capability. Drawing on long-term research in human-AI interaction, she emphasized collaborative use over delegation, highlighting how trust, onboarding, and governance shape outcomes. Her session reframed regulation as an enabler of responsible experimentation- arguing that clear guardrails are essential for scaling AI without eroding human judgment or expertise.
Moving from Pilots to Value
George Westerman addressed why most AI initiatives stall at the pilot stage and what it takes to achieve durable, enterprise-wide impact. He showed how successful organizations move beyond experimentation by pairing strong governance with clear ownership, change management, and measurable outcomes. The session focused on turning AI into a repeatable capability - one that augments work, improves quality, and delivers sustained value at scale.
Moving from Pilots to Value
George Westerman addressed why most AI initiatives stall at the pilot stage and what it takes to achieve durable, enterprise-wide impact. He showed how successful organizations move beyond experimentation by pairing strong governance with clear ownership, change management, and measurable outcomes. The session focused on turning AI into a repeatable capability - one that augments work, improves quality, and delivers sustained value at scale.
Connect to Content
Add layers or components to make infinite auto-playing slideshows.
[Plan]
Unlock the Experience That Suits You
General
Entry level access with a very essential perks included.
$299
“Early Bird: $249 until July 15”
⏳ Only 100 Early Bird spots left
What's included
Full access to all keynotes
Entry to breakout sessions
Conference swag kit
👑 VIP Pass
Top-tier luxury treatment with exclusive benefits.
$600
“Early Bird: $599 until July 15”
⏳ Only 30 Early Bird spots left
What's included
All General Pass access
Priority front-row seating
Exclusive networking sessions
Student
Entry level access with a very essential perks included.
$199
“Early Bird: $49 until July 15”
⏳ Only 100 Early Bird spots left
What's included
Full access to all keynotes
Entry to breakout sessions
Valid student ID card required
[Attendees]
Leaders in the room
Meet some of the leaders who joined us. This highlights just a few of the many people who helped make the Summit what it was.
[Host]
Meet the Hosts Behind Nuvert
NuVert is led by a team of experienced technologists, strategists, and educators. With backgrounds spanning AI engineering, public service, enterprise operations, and global governance, we focus on turning AI ambition into trusted, real-world capability.
[FAQ]
Questions Answered
Find answers to commonly asked questions about our tech event.
How can I register for the Confexpro?
To register, simply visit our event website and complete the registration form. Once submitted, you’ll receive a confirmation email with your ticket and event details. Early registration is recommended to secure your spot.
What is included in the ticket price?
Your ticket gets you access to the event, all talks and workshops, coffee/snacks, goodie bag, and access to post-event recordings.
Can I refund or transfer my ticket?
Tickets are non-refundable, but you’re welcome to transfer your ticket to someone else. Just email us the new name and email address before June 10.
When and where is the event taking place?
The event will take place on Mar 10,2024 at 4140 Parker Rd. Allentown, New Mexico 31134
Are there networking opportunities at the event?
Absolutely! The Creative Design Meetup includes dedicated networking sessions, panel discussions, and workshops, providing ample opportunities to connect with fellow attendees.
Countdown finished!
[Our gallery]
Another glimpse at Nuvert's AI Activation Summit.
Let's work together!
Learn how NuVert can help turn AI strategy into real impact.