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Matt Turck

Partner at FirstMark, investing in seed through Series A, thematically in enterprise software in the US and EU, and AI up and down the stack. Has been at FirstMark for over a decade.

Top 5 podcasts with Matt Turck

Ranked by the Snipd community
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83 snips
Jul 2, 2025 • 1h 17min

Startup Valuations, Biotech’s Crunch & AI’s Massive TAM | E2147

D.A. Wallach, a General Partner at Time BioVentures, focuses on biotech and machine learning. Matt Turck from FirstMark specializes in enterprise software and AI. Astasia Myers of Felicis invests in early-stage AI and cybersecurity. They discuss the biotech sector's struggle amidst a tough market, contrasting it with the booming AI landscape. Virtual doctors and advancements in fertility tech have the potential to revolutionize healthcare. The panel also explores investment trends and the democratization of AI tools—shaping the future of startups.
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34 snips
Nov 11, 2022 • 30min

What to Watch in AI

Reid Hoffman, Saam Motamedi, Sarah Guo, Lan Xuezhao, Matt Turck, Leigh Marie Braswell, Nathan Benaich, Rob Toews, Cat Wu, and Michael Dempsey highlight the AI trends to keep an eye on. Brought to you by Sardine Scams only work if people believe they’re real. Scams hide in plain sight. The email outlining an investment opportunity or the phone call promising paid work may seem like good fortune. But more likely than not, they’re attempts to defraud you. The sophistication of these scams means that anyone is at risk. Last year, fraud losses increased 70%, suggesting that fraud is outstripping our technological defenses. It’s a problem that is constantly evolving. While people like me and you are at risk, so are companies. Businesses lose billions every year in scams, sometimes without realizing it since they’re often defrauded by “verified” customers. Sardine protects businesses from such threats. Leveraging sophisticated machine learning, Sardine stops the scammers from winning. You can think of them as the world’s best fraud team that you hire as an API. Compliance, onboarding, transaction monitoring, and fraud detection are all handled through Sardine’s simple API and SDK. The impact is major. Sardine helps businesses like FTX, Brex, Metamask, and Blockchain improve their conversion rates, raise order values, and lower fraud losses. Scale without the scams. Implement Sardine today. To find the original piece, published Oct 30, 2022, follow this link. Subscribe to this podcast, and to our newsletter at readthegeneralist.com. You can also follow @mariogabriele and @thegeneralistco on Twitter for updates.
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Apr 26, 2024 • 49min

Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer

Dive into the 2024 MAD landscape with Matt Turck and Aman Kabeer as they discuss open-source AI, market saturation, Gen AI, emerging AI stack, VCs excitement, full-stack AI platforms, modern data stack, and what's next for the MAD Landscape. Gain insights into the evolving AI, machine learning, and data scene with a mix of analysis, industry perspectives, and foresight into the technological future.
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Jan 22, 2025 • 1h 22min

Data and AI Predictions for 2025 with Matt Turck, Steve Nouri, and Joe Reis

Cindi Howson hosts a captivating discussion with Matt Turck, a Partner at FirstMark Capital, Steve Nouri, CEO of GenAI Works, and Joe Reis, data engineering expert and author. They delve into the generative AI revolution, highlighting its impact and opportunities for businesses. Ethical considerations and future data science roles take center stage with Steve's insights. Joe emphasizes the necessity of upskilling in data teams and the evolution of data architecture. They even venture into playful predictions about sports, including Kylian Mbappé's record-breaking potential!
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Apr 7, 2024 • 36min

The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turck)

Matt Turck, the publisher of the MAD Landscape map, discusses the 2024 ecosystem with 2,011 logos. Topics include generative AI impact, modern AI vs data stack, Databricks vs Snowflake, and Microsoft's entry into the data landscape.

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