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The MAD Podcast with Matt Turck

The MAD Podcast with Matt Turck

Matt Turck

The MAD Podcast with Matt Turck, is a series of conversations with leaders from across the Machine Learning, AI, & Data landscape hosted by leading AI & data investor and Partner at FirstMark Capital, Matt Turck.
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Top 10 The MAD Podcast with Matt Turck Episodes

Goodpods has curated a list of the 10 best The MAD Podcast with Matt Turck episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to The MAD Podcast with Matt Turck for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite The MAD Podcast with Matt Turck episode by adding your comments to the episode page.

The MAD Podcast with Matt Turck - Embracing AI: Lessons from Intercom's Journey

Embracing AI: Lessons from Intercom's Journey

The MAD Podcast with Matt Turck

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02/29/24 • 61 min

In this episode, we sat down with Des Traynor, co-founder of Intercom, to explore the seismic shift towards Artificial Intelligence in customer service software. Intercom has gone all-in to embrace AI as people's expectations of what chatbots can do started growing with the release of ChatGPT. Des shares the pivotal moments and strategic decisions that led to this transition, highlighting the urgency and vision that propelled Intercom to integrate AI into their core offerings. Des also delves into the challenges of building a bicontinental startup and the strategic pivot towards becoming an AI-first company. Tune in for an enlightening discussion on the strategy and journey of adapting AI. INTERCOM Website - https://www.intercom.com Twitter - https://twitter.com/intercom Des Traynor LinkedIn - https://www.linkedin.com/in/destraynor/ Twitter - https://twitter.com/destraynor FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro

(01:16) How did Intercom make a transition to a generative AI product (Fin)?

(05:34) Did the Intercom manifesto play a role in the transition?

(07:16) What was the Intercom before Fin?

(09:01) How much development effort did you spend on AI?

(12:31) UX

(15:20) People used to hate chatbots

(17:51) GPT and building layers around it

(20:50) The future of customer service

(23:57) GPT-4/Llama/Mistral/Claude

(25:58) Are multimodal AI-bots the future?

(27:08) AI-hallucination

(30:11) Customization

(34:34) Will Fin get a voice?

(36:26) Customer support cost and impact on profitability

(39:58) How much should you charge?

(45:26) AI-bot resolution rate

(46:43) Can bots take action?

(48:40) AI-adoption

(51:14) How the Intercom team evolve

(53:38) How did 4 Irish guys create a bi-continental startup?

(56:17) Work distribution

(58:38) Tech in Europe vs tech in the US

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The MAD Podcast with Matt Turck - Scott Belsky: AI & Creativity

Scott Belsky: AI & Creativity

The MAD Podcast with Matt Turck

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12/06/23 • 29 min

Today, we’re excited to chat with Scott Belsky - author, entrepreneur, investor and Chief Strategy Officer at Adobe. Matt + Scott discuss the impact of AI on creative work, how Adobe is incorporating AI across their products, and what the future creative tools landscape might look like.

This session was recorded live at a recent Data Driven NYC, our in-person, monthly event series. If you are ever in New York, you can find us on Eventbrite by searching for "FirstMark Capital". Events run monthly and are free and open to everyone. And as always, if you enjoy the MAD podcast, please subscribe and leave us a comment.

Data Driven NYC YouTube Channel

FirstMark Capital Eventbrite

twitter.com/scottbelsky

Implications, by Scott Belsky

twitter.com/mattturck

linktr.ee/mattturck

Show Notes:

[00:53] How Adobe uses AI to enhance user experience, streamline onboarding and automate tasks across their product suite;

[01:30] How AI impacts Adobe's business, making creative processes accessible with features like the context bar in Photoshop;

[02:13] Firefly's journey: internal decisions, training challenges, and a commitment to using licensed material for ethical AI;

[03:58] Moral considerations in Firefly's development: the decision to use licensed material, commercial viability, and addressing user comparisons;

[05:52] Adobe's homegrown approach to generative AI models: in-house development and partnerships for specific capabilities like LLM;

[06:08] Adobe Sensei's 10-year evolution: developing AI technologies, the non-profit Content Authenticity Initiative, and content credentials establishing asset provenance;

[09:17] Adobe's new AI advancements: Firefly Image Model 2, Generative Match, and the vector model for illustration;

[11:16] Firefly Editor's revolutionary image editing: dynamically generating pixels, real-time object manipulation, and Adobe's commitment to pushing technological boundaries;

[12:41] Rapid integration of AI features: Firefly models and playground, surfacing on a website for user testing, and collaboration within Adobe's design organization;

[14:32] How Adobe's AI and data teams are structured and leveraging in-house development for competitive advantage;

[15:47] Future of work and creativity: AI's impact on raising the bar for digital experiences, accelerating creative processes, and the evolving landscape of personalized social content;

[19:11] Leveraging technology to reduce friction, streamline processes, and unlock creative flow;

[20:09] Impact of AI on business models: questioning time-based pricing, anticipating a shift to value-based models, and reconsidering compensation for creative professionals;

[21:10] Parallels with historical Internet Service Providers, the rapid evolution of ideas, and reflections on sustainable business models;

[24:53] Scott’s criteria for evaluating AI investments: valuing skeptical entrepreneurs, acknowledging temporary uniqueness, and emphasizing empathy with customers;

[26:40] Navigating challenges in 2023: Tough decisions for entrepreneurs, evaluating conviction, and the importance of sticking together through the "messy middle”;

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Today we are excited to welcome Carly Taylor for a broad discussion covering the numerous ways she's ingrained in the AI & data world including AI at Activision’s Call of Duty franchise, consulting at Rebel Data Science and being a prominent voice for data science on social media.

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The MAD Podcast with Matt Turck - Hippocratic AI: A Safety-First LLM for Healthcare with CEO Munjal Shah
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08/23/23 • 49 min

Today we are diving into the world of generative AI in Healthcare with CEO and Co-founder of Hippocratic AI, Munjal Shah. In this episode Matt and Munjal discuss the vision for Hippocratic AI, and the unique challenges and opportunities of deploying generative AI in the world of healthcare.

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The MAD Podcast with Matt Turck - LlamaIndex: Unleashing LLMs on Your Data with CEO Jerry Liu
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07/12/23 • 40 min

This week we're joined by Jerry Liu, Co-Founder & CEO of LlamaIndex, a startup that offers a data framework for connecting custom data sources to large language models, for a conversation about the emerging Generative AI infrastructure stack, how startup founders navigate a field as new and fast paced as Generative AI, and more.

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In this episode, we sat down with Tomasz Tunguz (https://twitter.com/ttunguz), the founder of Theory Ventures and a leading voice in the tech investment space.

We discussed the transformative potential of Ethereum as a database company, the importance of data security in a decentralized world, and the evolving landscape of AI technologies from foundational models to AI-native applications.

📰 Article "What If LLMs Change the Business Model of the Internet?": https://tomtunguz.com/what-if-llms-change-the-business-model-of-the-internet/

✍️ Tomasz' blog: https://tomtunguz.com

Theory Ventures

Website - https://theory.ventures/

Twitter - https://twitter.com/Theoryvc

Tomasz Tunguz

LinkedIn - https://www.linkedin.com/in/tomasztunguz

Twitter - https://twitter.com/ttunguz

Blog - https://tomtunguz.com/

FIRSTMARK

Website - https://firstmark.com

Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director)

LinkedIn - https://www.linkedin.com/in/turck/

Twitter - https://twitter.com/mattturck LISTEN ON:

YouTube - https://www.youtube.com/@DataDrivenNYC/videos

Apple - https://podcasts.apple.com/us/podcast/the-mad-podcast-with-matt-turck/id1686238724

(00:00) Intro
(02:46) Tomasz has continued to invest in blockchain through the crypto winter. Why?
(06:59) Security and privacy as the main blockchain's use case.
(09:18) Blockchain and AI: how do they work together?
(11:02) Why does Theory Ventures not invest in AI hardware?
(12:28) Why do big companies invest in cloud infrastructure?
(15:35) An investor view on the foundation models.
(18:36) Is Gen AI going to replace traditional AI?
(20:57) Does the Theory Ventures invest in AI tooling companies?
(22:53) Is investing in Cloud companies better than investing in AI-powered applications?
(26:40) Copilot AI vs full-execution AI.
(28:38) A case for specialized LLMs.
(29:54) Gross margins in Gen AI: is it profitable?
(32:34) Modern Data Stack: is it still a thing to invest in?
(37:02) Microsoft Fabric and its impact on the market.
(38:50) Tomasz's thought on Motherduck and DuckDB.
(40:37) Where do BI tools fit in the Modern Data Stack?
(44:32) Why has the democratization of BI never happened?
(45:52) How do acquisitions happen? Can you engineer them?
(49:02) Key ingredients to build data infrastructure business.
(50:40) Tomasz is a founder now! How does it feel?
(53:15) Talking numbers: Theory Ventures' financial model.

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In this episode, we sit down with Eric Glyman, co-founder of Ramp, the company that revolutionized finance management to become a powerhouse valued at $7.6 billion.

Eric shares the tradition of counting the days since Ramp's founding and how it fosters a sense of urgency and productivity, explains the use of AI to automate expense management and fraud detection, and gives an inside look at Ramp's cutting-edge AI products, including the Ramp Intelligence Suite and experimental agentic AI use cases.

Ramp

Website - https://www.ramp.com

Twitter - https://x.com/tryramp

Eric Glyman

LinkedIn - https://www.linkedin.com/in/eglyman

Twitter - https://x.com/eglyman

FIRSTMARK

Website - https://firstmark.com

Twitter - https://twitter.com/FirstMarkCap

Matt Turck (Managing Director)

LinkedIn - https://www.linkedin.com/in/turck/

Twitter - https://twitter.com/mattturck

(00:00) Intro

(01:49) What is Ramp?

(04:25) How did the company start?

(09:18) Technical aspects of Ramp infrastructure

(12:17) "We can tell you if you're paying too much"

(14:20) Data privacy at Ramp

(16:13) Data infrastructure tools used at Ramp

(17:58) Traditional AI use cases

(24:51) GenAI use cases

(27:47) AI/human interaction

(33:32) Ramp Intelligence Suite

(39:38) How Ramp keeps high product release and product velocity

(42:37) How did Ramp get to product-market fit?

(45:54) Eric's perspective on building a company in NYC

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The MAD Podcast with Matt Turck - Is AI a platform shift or a paradigm shift? | Benedict Evans
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04/10/24 • 51 min

In this episode, we sat down with Benedict Evans, a leading voice in the tech industry and a former partner at Andreessen Horowitz.

Known for his sharp insights and forward-thinking analysis, Benedict shares his expert perspective on what generative AI means for the future of technology, business, and society at large.

Specifically, we dive deep into the evolving landscapes of generative AI, augmented and virtual reality, and the critical issue of AI bias.

Join us as Benedict Evans provides a nuanced analysis of cutting-edge tech and shares his insights and perspectives on the road ahead.

BENEDICT EVANS

LinkedIn - https://www.linkedin.com/in/benedictevans/

Threads - https://www.threads.net/@benedictevans

FIRSTMARK

Website - https://firstmark.com

Twitter - https://twitter.com/FirstMarkCap

Matt Turck (Managing Director)

LinkedIn - https://www.linkedin.com/in/turck/

Twitter - https://twitter.com/mattturck

(00:00) Intro

(01:06) The AI platform shift in 2024

(05:54) Gen AI in 2024 vs. PC-boom in the 80-s

(13:24) Until AGI happens, there will be vertical-specific apps

(15:12) Should companies have an AI strategy?

(21:04) Platform shift OR paradigm shift?

(23:55) How should we think about AGI in 2024?

(34:08) Is gen AI grossly overhyped?

(36:27) AI bias and the hidden problems in data

(44:56) Apple Vision Pro and the future of AR/VR

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A founding engineer on Google BigQuery and now at the helm of MotherDuck, Jordan Tigani challenges the decade-long dominance of Big Data and introduces a compelling alternative that could change how companies handle data.

Jordan discusses why Big Data technologies are an overkill for most companies, how MotherDuck and DuckDB offer fast analytical queries, and lessons learned as a technical founder building his first startup.

Watch the episode with Tomasz Tunguz: https://youtu.be/gU6dGmZzmvI

Website - https://motherduck.com

Twitter - https://x.com/motherduck

Jordan Tigani

LinkedIn - https://www.linkedin.com/in/jordantigani

Twitter - https://x.com/jrdntgn

FIRSTMARK

Website - https://firstmark.com

Twitter - https://twitter.com/FirstMarkCap

Matt Turck (Managing Director)

LinkedIn - https://www.linkedin.com/in/turck/

Twitter - https://twitter.com/mattturck

(00:00) Intro

(00:56) What is the Small Data?

(06:56) Marketing strategy of MotherDuck

(08:39) Processing Small Data with Big Data stack

(15:30) DuckDB

(17:21) Creation of DuckDB

(18:48) Founding story of MotherDuck

(24:08) MotherDuck's community

(25:25) MotherDuck of today ($100M raised)

(33:15) Why MotherDuck and DuckDB are so fast?

(39:08) The limitations and the future of MotherDuck's platform

(39:49) Small Models

(42:37) Small Data and the Modern Data Stack

(46:47) Making things simpler with a shift from Big Data to Small Data

(50:04) Jordan Tigani's entrepreneurial journey

(58:31) Outro

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The MAD Podcast with Matt Turck - Saving lives with AI | Emi Gal from Ezra

Saving lives with AI | Emi Gal from Ezra

The MAD Podcast with Matt Turck

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03/06/24 • 50 min

In this episode, we sat down with Emi Gal, founder and CEO of Ezra, a startup that leverages AI to detect cancer early and inexpensively. Emi provides insights into the landscape of the healthcare sector and talks about the differences between building an AI startup in healthcare versus SaaS. Turns out that "(In AI skills)... are not that transferable." EZRA Website - https://ezra.com Twitter - https://twitter.com/ezrainc Emi Gal LinkedIn - https://www.linkedin.com/in/emigal Twitter - https://twitter.com/emigal FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ Twitter - https://twitter.com/mattturck (00:00) Intro (01:50) Ezra raised $21 million in series B round (02:55) The origin of Ezra (06:06) Sourcing AI talent (06:52) Building a proof of concept (09:05) The tipping point for the product market fit (10:57) Y Combinator wants more MRI startups. Why? (11:37) Ezra's vision for MRI (13:25) Is it covered by insurance? (16:15) Full stack vs Software only (20:00) Training AI (22:55) Building an MRI database (25:45) Will radiologists get replaced by AI? (27:52) Creating reports with Generative AI (30:50) Can we trust AI in healthcare? (33:44) What are the specific challenges of building an AI startup? (39:01) Healthcare entrepreneurship (43:59) Staying fit as a CEO: Emi's mental and physical health routine (48:28) Plans for 2024

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FAQ

How many episodes does The MAD Podcast with Matt Turck have?

The MAD Podcast with Matt Turck currently has 67 episodes available.

What topics does The MAD Podcast with Matt Turck cover?

The podcast is about Podcasts and Technology.

What is the most popular episode on The MAD Podcast with Matt Turck?

The episode title 'Saving lives with AI | Emi Gal from Ezra' is the most popular.

What is the average episode length on The MAD Podcast with Matt Turck?

The average episode length on The MAD Podcast with Matt Turck is 45 minutes.

How often are episodes of The MAD Podcast with Matt Turck released?

Episodes of The MAD Podcast with Matt Turck are typically released every 7 days.

When was the first episode of The MAD Podcast with Matt Turck?

The first episode of The MAD Podcast with Matt Turck was released on May 3, 2023.

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