Exclusive: Eliot Pence , Founder & CEO of Dominion Dynamics, join us to discuss how they revolutionize the defense tech ecosystem.

What does it take to build defense technology for one of the hardest environments on Earth - the Arctic?

We sat down with Eliot Pence, Founder and CEO of Dominion Dynamics ( @defendthedominion ) a company developing autonomous command-and-control systems for defense, national security, and critical infrastructure.

Elliot shares why Dominion chose the Arctic as its starting point, how extreme environments shape the company's technology, and why his philosophy is to “do the hardest thing” and build around the needs of the user.

We also discussed how they're developing Canada's first sovereign Autonomous Collaborative Platform (ACP), named Dominion Scout, to act as an uncrewed "loyal wingman" alongside fighter jets like the F-35.

Other topics we covered:

• Eliot Career journey at Africa and at  @Anduril  working with Palmer Luckey and Trae Stephens.

• Resilient communications and tactical mesh networks

• The future of defense technology

• Canada's history of defense innovation

• Quantum technology and quantum sensing (Eliot is a board member at Xanadu  @XanaduAI )

• Entrepreneurship, leadership, and mentorship

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Hosts: Yossi Garmazi

#ai #tech #defensetech #canada #arctic #anduril #africa

Chapters:

00:00 Building at the Arctic

00:29 Intro

01:02 Lessons from Africa

03:03 Building Anduril GTM

05:33 Defense Tech in Canada

08:17 Communications at the Arctic

10:56 Space industry & Satellites & Defense Tech

12:29 Building the ACP - Unmanned Aircraft

16:05 Building Software & Hardware at the same time

18:04 Deploying Dominion not in the Arctic

20:44 Dominion on the Moon?

21:10 Selling to NATO Allies

22:35 Defense Companies & Quantum & Xanadu

24:51 What keeps you at night?

25:34 Advice for Entrepreneurs

26:17 Mentorship

27:09 Coffee Question

28:15 Alternate Universe Profession

29:34 Genie Question

30:04 Favorite Movie

Exclusive: Sean D'Arcy is the Chief Solutions Officer at Kahoot! - the app we all know, whether from the classroom or the workplace!

Sean shares his journey from Opera to Kahoot!, and explains how technology can democratize access to information and create more engaging learning experiences.

We also discuss Kahoot!’s evolution from a classroom quiz platform into an increasingly important tool for enterprise learning and engagement.

Other topics we cover:

• AI and the future of learning - Why Kahoot! sees AI not simply as a way to automate content creation, but as a tool to augment learning and improve outcomes.

• From engagement to measurable learning - How Kahoot! is moving beyond quizzes and gamification toward assessment, learning gaps, proficiency, and personalized learning journeys.

• The evolution of Kahoot! - How a concept originally called “Lecture Quiz” became one of the world’s most recognizable learning platforms.

• Going private - Sean explains how becoming a private company has allowed Kahoot! to focus more deeply on the opportunities ahead.

• Re-onboarding after layoffs - Why organizations often underestimate the importance of rebuilding trust, connection, alignment, and skills after major organizational change.

• Advice for founders and builders - Sean shares why maintaining a “Day One” mentality, moving quickly, staying resilient, and being willing to pivot are more important than ever.

And guess what Sean’s favorite movie is? 🐺🌲⚔️Register to our Newsletter:https://boardroomclub.substack.com/Follow

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Hosts: Yossi Garmazi & Amado Vargas

#ai #tech #quiz #game #learning #norway #oslo #PrincessMononoke

Chapters:

00:00 Kahoot! Evolution

00:14 Intro

00:55 From Browser Wars to Kahoot!

03:24 Kahoot! ICP Evolution

05:50 Kahoot! Name meaning

07:37 Going Private

09:18 AI Impact on Kahoot!

12:23 What does Success look like at Kahoot?

14:18 Surprise in Kahoot Usage

16:11 Kahoot Partnerships with Educators

17:52 Gamification & Remediation in Kahoot!

19:21 Onboarding, Layoffs & Kahoot 360

21:56 Kahoot! Game Advice

23:41 Advice for Founders

25:08 Mentorship

26:41 Coffee Questions

27:39 Alternate Career

28:19 Favorite Travel Location

29:12 Favorite Movie

Exclusive: Ben Cefalo, Chief Product Officer at  @MongoDB  joins us to discuss how AI is fundamentally changing the way companies build, manage, and access data.

Benjamin joins us to discuss how AI is fundamentally changing the way companies build, manage, and access #data.

From why “Agents speak #JSON” to whether better data retrieval can actually reduce #LLM costs, Ben shares MongoDB’s vision for the AI era and explains why the database is becoming an increasingly important part of the AI stack.

Topics we cover:

• Why AI agents speak JSON and what that means for databases

• How better data retrieval can reduce LLM costs and token usage

• Why MongoDB built #Vector Search directly into its database

• How AI agents can use databases as their long-term #memory

• Why hybrid and multi-cloud infrastructure is here to stay

• How MongoDB evolved from an #OpenSource project into an enterprise cloud platform

• The biggest challenge facing #CIOs: balancing AI adoption, speed, security, and governance

Benjamin also shares his #advice for entrepreneurs and who he would love to grab a #coffee with!

And What is Benjamin’s favorite #movie? 🎬🗽🍕

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Hosts: Yossi Garmazi & Sanat Mouli

#ai #agents #database #coding #opensource

Chapters:

00:00 Agents & MongoDB

00:35 Intro

01:04 Tokenmaxxing

02:39 MongoDB: Less tokens

04:38 Incumbents needs to reshape their database?

06:45 Building Vector Search

09:09 Managing Memory at Database level

10:29 Acquiring Voyage AI

11:31 MongoDB Evolution & Open Source

15:02 Companies moving to On Premise

17:35 On Premise effect on product development

19:20 Product development strategy at MongoDB

21:04 What keeps CIOs at Night?

24:38 Indie developers Vs Enterprise

25:30 Advice for Entrepreneurs

27:04 Hobbies

27:37 Mentorship

30:08 Coffee Question

31:04 Alternate Universe profession

32:30 Favorite Movie

Exclusive: Michael Lynton has sat at the center of Hollywood, Silicon Valley, and the media industry for decades.

As former CEO of ⁠ Sony Pictures Entertainment⁠ and current Chairman of ⁠ Snap Inc. ⁠ and ⁠ Warner Music Group⁠ he has seen some of the biggest transformations - and crises - in modern media.

In this conversation, Michael opens up about the infamous Sony hack surrounding The Interview, the leadership lessons he learned from managing one of the most disruptive crises in Hollywood history, and the biggest mistake he believes he made along the way.

Other topics we covered:

• Why AI could fundamentally reshape Hollywood, music, and social media• What Silicon Valley misunderstands about Hollywood -and vice versa

• How Snap went from 25,000 users to a global platform• The difference between being a CEO and a Chairman

• Why great leaders need to know when to keep their hands off the wheel

• The future of augmented reality and Snap's smart glasses

And Guess Michael' favorite movie? 🎬💻🍿

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Hosts: Yossi Garmazi & Jason Woolf

#ai #tech #movie #hollywood #snapchat #sonypictures #warnermusic #mistakes

Chapters:

00:00 Learning from Mistakes

00:25 Intro

00:59 Writing a book Mistakes

05:50 How to continue after mistakes?

08:29 Private Mistake Vs Public Mistake

10:40 Fail Fast?

12:54 Chairman role

14:51 Becoming Snap Chairman

16:17 Power shift from Publishers to Content Creators?

18:08 Hollywood Vs Silicon Valley

20:22 AI Impact on Movies & Music

23:31 CEO to Chairman

25:30 Super Fan model in Warner Music

27:08 The Creator Economy

28:12 Social Media

29:35 Augmented Reality Future in Snapchat

31:33 Lessons for Founders

33:16 Mentorship

35:19 Coffee Question

36:07 Favorite Book

37:07 Favorite Movie

Exclusive: Dan Ives is one of the most famous tech analysts on Wall Street. In this exclusive interview, we dive into some of the biggest questions shaping the markets right now:

- Tesla and SpaceX: Is a merger inevitable? Dan gives his odds and his timeline.

- OpenAI vs. Anthropic: Who has the better position

- The AI bubble: Are investors getting carried away, or are we still only in the early stages of a massive AI buildout?

- The U.S. vs. China: Why every data center decision in America could have implications for the global AI race.

- AI infrastructure: What is the real bottleneck: chips, power, or data centers?

- Quantum computing: Is this the next major technology revolution, or are investors getting ahead of themselves?- SpaceX: Can its massive valuation be justified by the opportunity ahead?We also discuss Dan’s next chapter on Wall Street: the launch of Yorkville Ives & Co., his new merchant bank focused on helping ambitious companies scale and reach the next level.

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Host: ⁠Yossi Garmazi⁠

#ai #tech #stockmarket #stock #tesla #spacex #openai #anthropic #wallstreet
Chapters:

00:00 Tesla & SpaceX Merger?

00:28 Intro

00:54 Are we in a Bubble?

02:19 AI Debt Problem

03:53 OpenAI Vs Anthropic

06:19 Foundational Models Moat

07:48 AI Bottleneck

09:09 AI PR Issue

11:04 AI & Jobs

12:43 SpaceX Valuation Sustainable?

15:39 Tesla & SpaceX Merger?

17:05 Quantum IPOs: is the Hype Real?

19:40 Launching a bank: Yorkville Ives & Co

21:05 Dan Dress Code!

22:05 CEO: Storytelling Vs. Great Numbers

23:21 Dan Favorite Stock?

24:25 Biggest CEO Mistakes on Wall Street

25:05 Coffee Question

25:50 Favorite Movie

Arvind Nithrakashyap is the Co-Founder and CTO of Rubrik (NYSE: RBRK) the cybersecurity resilience platform.

We started by exploring how Rubrik has evolved from a data backup and protection company into a #CyberResilience and data security platform - and what's next in the new AI era and RAG technology.

And indeed the world is changing, Enterprise security was built around deterministic policies: do X if Y happens, while #LLMs are probabilistic - So what happens to the #ZeroTrust principles?

We also discussed Rubrik #AgentRewind, which tackles mistakes made by autonomous AI #agents. We dove into how Arvind’s team built the audit trail needed to determine whether an incident was caused by a flawed AI prompt, an autonomous agent’s decision, or a compromised user credential.

Other interesting topics we covered:

- How Arvind measures #ROI in the new AI era

- Cybersecurity & Open Source

- Cybersecurity & Quantum computing

- Tokenmaaxing

And Arvind’s favorite movie? 🤌💼👨‍👩‍👧‍👦

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Host: Yossi Garmazi

#ai #tech #cybersecurity #coding #agent

Chapters:

00:00 Cybersecurity & AI Agents

00:32 Intro

01:04 IIT Lessons

03:33 India Rise as a Tech Hub

04:48 Open Source & Cybersecurity

08:34 What's next for Rubrik? RAG Technology &

13:12 OpenAI & Antropic Agents Going Rouge

13:43 Enterprise Security & AI

18:44 Rubrik Agent Rewind

22:32 The future of Zero Trust

26:00 ROI in the AI World

28:57 Quantum & Cybersecurity

32:10 The future of CISOs

35:47 Advice foe Entrepreneurs

38:44 Mentorship

41:16 Coffee Question

42:49 Alternate Universe Question

43:19 Favorite Movie

Dan Lorenc is the Co-Founder of Chainguard, which raised ~$900M to make it Open Source secure to use.

We started by discussing the #challenges around the distribution and consumption of open source. It’s free and ubiquitous - but do we really consume the source code itself?

Or as Dan phrase it:

"It's free as in puppy, not free as in beer"

We then explored #ChainguardImages, what the future holds for #containers in the new era of AI, and whether the industry is heading toward a more standardized, centralized system.

Other interesting topics we covered:

- Was #Mythos a marketing stunt?

- Chainguard Agent Skills and agent-to-agent attacks

- The beginning of Chainguard

And who would Dan would love to grab a coffee with? 🏀🗽👑

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Host: Yossi Garmazi

#ai #tech #cybersecurity #coding #agent #knicks #JalenBrunson

Chapters:

00:00 Open Source & AI

00:27 Intro

00:58 What is Open Source?

02:46 Agents & Open Source

05:28 Is Open Source broken?

08:08 The Beginning of Chainguard

09:07 Chainguard Base-image & Containers

10:29 Open Source Regularity Pressure

11:34 Mythos: A Marketing Stunt?

12:46 Agent-to-Agent Attack

14:41 Open Source Misconception

16:10 Execution in Startups

17:00 When to Hire Sales?

18:28 Advice for Builders

19:44 Tokenmaaxing

20:56 What is AI Native Company?

21:26 Mentorship

22:08 Coffee Question

23:00 Favorite Movie

One space everyone is excited to see revolutionized by AI is MaterialsScience, and a company at the forefront of it is Radical AI.

A key part of materials science is trial & error. We discussed how Radical AI captures valuable “negative data” (the error side) from its self-driving #labs to train #AI models and accelerate discovery.

We then explored their unconventional #InverseDesign approach - starting with the desired material properties and working backward to design new materials.

Other interesting topics we covered:

- How do self-driving labs actually work?

- The future of #quantum computing

- Different approaches to semiconductor #chip design

And guess Joseph’s alternate-universe profession? 🤠🐎🏜️

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Interviewers: Yossi Garmazi & Jacob Chizunza, CA

#ai #tech #material #science #chip

Chapters:

00:00 Messy date is good?

00:22 Intro

01:10 What led to you starting the company

03:41 How Ai is capturing negative data

07:05 AI Finding New Materials?

09:45 Self Driving Labs

12:44 AI Innovation in New Verticals

16:20 Shortening the R&D time

18:45 Local ecosystem in New York

24:45 AI Impact on Medical

27:45 Quantum Readiness

31:40 Most Excited AI Verticals

38:19 Advice for builders

39:17 Mentors

41:30 Favorite Movie

42:50 Alternate career

From having dyslexia to building a tech powerhouse with 60M+ users!

We started by exploring Cliff’s journey - from studying #renewable energy engineering to choosing not to race after a fancy job. Instead, he stayed on campus and started building something completely different: what would become Speechify.

#Customer obsession was key: from calling users directly on #FaceTime to running customer support through iMessage, it's all about staying close to customers and continuously improving the product.

An interesting fact: today, 10% of Speechify’s user acquisition is already driven by #LLMs search queries!

Other topics we covered:

- What is Cliff’s biggest accomplishment at Speechify?

- His advice on mentorship and building relationships.

And Cliff’s favorite #hobby?🥷🥋🥊

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Interviewers: Yossi Garmazi & Jason Woolf

#ai #tech #speech #agent #gtm

Chapters:

00:00 Intro

00:59 Cliff Story

07:40 Hurdles along the way

11:50 LLMs as Growth Engines

12:32 Being AI Company in 2015

14:19 Biggest Moment

15:45 Mentorship

16:58 Hobbies

Watch our exclusive interview with Jan Goetz, Co-Founder and CEO of IQM Quantum Computers (NASDAQ: IQMX).

IQM Quantum Computers just made #history - becoming the first European quantum computing company to go public on Nasdaq!

We started by exploring the dynamics between #Quantum and #AI - and why Jan believes the future will be a #hybrid approach, with quantum computing embedded into other compute modalities.

As a newly public company, we also discussed how to communicate a developing field like quantum computing to sophisticated investors on #WallStreet, where it's all about numbers.

A major #differentiator for IQM is its on-premises systems approach, rather than a Quantum-as-a-Service model. We discussed why this becomes particularly important in the data sovereignty era.

And, of course, what is the future of quantum computing in an era of #datacenters powered by GPUs - and how is IQM positioned to this future.

Other topics we covered:

- Selling the first quantum computer to a private enterprise

- Could we have a personal Quantum computer?

- Where is the biggest potential for Quantum

- Quantum ChatGBT moment?

And who Jan would love to grab a #coffee with?🌌⚛️💡

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Interviewers: Yossi Garmazi & Jason Woolf

#ai #tech #quantum #depptech #compute

Chapters:

00:00 Quantum & AI

00:21 Intro

01:01 From Academia to Quantum Startup

02:41 Relationship b/w quantum & AI

04:23 Europe's Quantum competitiveness

05:56 Public company impact on R&D strategy

07:17 Investor focus: Research vs Commercial

08:40 On-prem systems & Quantum Sovereignty

10:48 Data Center integration & GPU ecosystem

12:10 First Quantum Sold to Private Buyer

13:39 Practical impact of 150+ qubits

16:00 Error correction as core bottleneck

18:54 Quantum use cases known & unknown

20:56 Use cases × bottom-line business impact

21:59 Quantum's ChatGPT moment

23:37 Timeline prediction of ChatGPT moment

25:03 Future of personal quantum computing

26:02 Mentorship & advice for founders

27:13 Dream coffee

27:50 Alternate career

28:33 Life outside work

29:11 Favorite movies & sci-fi realism