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Most financial institutions still bank on software built before the internet, but Jack Henry's CTO, Ben Metz, is leading a quiet revolution to change that. Speaking with a16z General Partner Angela Strange, Metz shares how banks’ historical tech infrastructure and regulatory obstacles have stymied innovation—and how Jack Henry is helping them overcome these challenges. Metz outlines actionable ways startup founders can help smaller community banks leverage artificial intelligence and cloud computing, reshaping the industry at large.
Chapter Breakdown:
0:47 Backstory
2:15 Community banks and historical infrastructure
4:30 Pre-internet banking & software realities
6:45 Challenges of scaling historical banking tech
8:30 Building software & COBOL
12:15 Dissecting core banking systems
15:40 How regulatory hurdles impact innovation
18:30 Mobile banking and market shiftsT
22:45 Integrating AI into banking's foundation
25:30 Digital service core to banking
28:15 Where AI will be integrated first
31:20 Advice for fintech founders
34:45 Building a data platform to enable innovation
38:20 Working together: banking & tech startups -
a16z Partner Seema Amble talks with MongoDB and Viam co-founder Eliot Horowitz about building sustainable open source software tools. From challenging Oracle to building the de facto cloud-based database management tool, Horowitz outlines MongoDB’s early go-to-market strategies, approach to community building, and enterprise sales motion. This episode provides detailed tips on creating solutions for the developer community, building trust amongst enterprises, and successfully scaling a business supported by the open source community.
01:18-03:42 Why open source is a strategic business decision
3:42:6:03 Product development strategy + making developers’ lives easier
6:03-08:24 MongoDB strategy of building community through meetups
08:24-10:49 The five-second rule for developer products
10:49-13:09 How MongoDB used meetups to fuel growth
13:09-15:35 The importance of getting people excited about your product
15:35-19:29 MongoDB’s enterprise sales strategy
19:28-20:26 MongoDB’s recruiting strategy
20:26-25:12 Open source customers vs. users, adoption patterns
25:12-27:35 The evolution of enterprise deals and building trust through demos
27:35-32:23 Product communication strategies and tactics
32:23-39:37 Managing customers and building long-term relationships
39:37-40:16 Outro
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Saknas det avsnitt?
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a16z Partner Seema Amble connects with Zapier co-founder Wade Foster about the company’s founding and GTM success utilizing a product-led growth (PLG) strategy. Chock-full of actionable insights, this episode explores Zapier’s product strategy, customer experience, and how the team built a sustainable growth engine that enabled them to reach profitability within three years. Foster also provides valuable guidance on brand strategy and how creating an unconventional “weird” brand helped Zapier differentiate from competitors.
1:15-2:05 Zapier's origin story
2:05-3:13 Initial product idea
3:13-5:06 Finding product-market fit and YC
5:06-7:43 How Zapier found their early customers
7:43-10:15 Strategic approach to identifying services to integrate
10:15-13:28 Identifying customer needs and optimizing onboarding
13:28-16:10 Developing a scalable customer acquisition strategy
16:10-19:07 Guidance on building a successful self-serve product
19:07:23:52 Early pricing experiments and brand evolution
23:53-27:04 Early hiring strategy
27:04-29:59 Reflecting on Zapier’s brand identity and product strategy
29:59-31:19 Advice for founders regarding customer acquisition and GTM
31:19-31:59 OutroPlease note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see
a16z.com/disclosures
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In this episode, a16z Partner Seema Amble chats with Tomer London, co-founder of Gusto, about establishing product-market fit and product discovery. London shares how Gusto, now valued at ~$10 billion with 300,000+ customers, identified early customers who could provide valuable feedback that helped the team optimize the self-service product experience. The conversation explores Gusto's approach to product development, as well as managing and incorporating customer feedback while maintaining a clear product vision.
1:18-3:14 Gusto’s founding story
3:14- 4:56 Solidifying a GTM sales strategy
4:56-10:03 Identifying early customers and perfecting the sales pitch
10:03-12:45 Working with customers to optimize the product UX
12:45-14:31 Engendering trust and finding success with accountants
14:31-16:41 The role accountants planned in Gusto’s success
16:41-19:34 Creating a feedback funnel and balancing product vision
19:34-22:38 Self-service strategy and measuring success
22:38- 23:45 Refining the UX at scale
23:45-25:45 Identifying real-world use cases to inform product strategy
25:45-29:52 GTM learnings and advice
29:52-30:05 OutroPlease note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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High-performance compute is the bedrock of generative AI, and if there’s anyone who knows about high-performance chips, it’s AMD CEO Lisa Su. In this wide-ranging conversation with a16z Operating Partner Bob Swan—himself formerly CEO of Intel—Lisa lays out her vision for the evolution of compute within the AI ecosystem, touching not only on raw power and the continuation of Moore’s Law, but also how AMD will support “the right compute for each form factor” for a wider ranges of real-world gen AI use cases. Lisa also shares her perspective on the state of chip manufacturing, how AMD matches their R&D cycles to fast-moving industries, and how partnerships build strong ecosystems.
Read more, including a full transcript, here: https://a16z.com/how-to-build-ai-ecos...
Time stamps:
[00:01:37] Lisa's career in compute
[00:04:48] Compute in the genAI era
[00:09:39] High performance or multimodal?
[00:10:47] Making the genAI ecosystem open
[00:14:16] The chip supply chain
[00:17:53] Resiliency and the CHIPS Act
[00:20:54] How AMD balances long development cycles with short term innovation
[00:24:48] Learnings from the hyperscaler market
[00:26:54] What being fabless means for AMD
[00:31:24] Lisa's advice for startup foundersFind more content from our AI Revolution series on www.a16z.com/AIRevolution.
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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Finding and backing companies that can reach escape velocity is the name of the game over here at a16z Growth—but picking those winners is far from easy. David George, head of the a16z Growth fund, sat down with the I/O podcast to discuss his mental models for growth-stage investing, what it really takes to go public, where AI is today and where it’s headed, and more.
[00:03:19] What makes Andreessen Horowitz different
[00:08:29] David's mental model for investing
[00:18:23] Focusing on inputs, not outputs
[00:26:52] What constitutes a growth company?
[00:29:14] David's three investing frameworks
[00:36:45] How to measure the ROI of R&D
[00:42:15] What it takes to go public today
[00:46:43] AI: market structure and infrastructure vs. application layers
To read a transcript of this conversation, click here.
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In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and the public sector, Alex is also building the critical infrastructure that will allow any organization to use their proprietary data to build bespoke gen AI applications. In addition to talking about frontier data, Alex also shares his learnings from the growth of Scale, his approach to leadership, and what he thinks growth-stage founder/CEOs tend to get wrong about hiring.
Read more, including a full transcript, here: https://a16z.com/frontier-data-foundries-alex-wang-scale-ai/Timestamps:
[00:00:58] How frontier data will change gen AI
[00:08:47] Are big tech companies over-investing in AI?
[00:14:39] Where the best AI businesses will thrive
[00:17:05] How enterprise businesses are approaching AI adoption
[00:19:50] What does the next phase of gen AI products look like?
[00:23:23] Alex's approach to scaling Scale
[00:25:36] The founder fallacy
[00:30:12] MEI and how Alex views talent acquisition
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a16z general partner David Haber talks to John Stecher, Chief Technology Officer at Blackstone, where he advances cutting-edge technology, heads up innovation investing, and advises the firm’s investment teams and portfolio companies. The conversation covers how he decides whether to build tech in-house or partner with startups, what qualities he’s looking for in early stage companies, and how he sees AI impacting real estate, credit, energy, and ecommerce.
0:00-1:05 Intro
1:06-3:55 Changes in finance x tech over the past 2 decades
3:56-5:06 Investing in "themes" across asset classes
5:07-7:00 What the CTO role entails
7:01-9:00 "Build it" vs. "buy it": trade-offs
9:01-11:57 Advice for early stage companies
11:58-16:37 Ways Blackstone is incorporating generative AI
16:38-17:46 How AI changes the role of an analyst
17:47-21:04 Gen AI's impact on private equity, real estate, credit, more
21:05-22:54 How Blackstone will evolve over the next five years
22:55-23:26 Outro
Please note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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a16z general partner David Haber and fintech partner Marc Andrusko talk to Tim Karpoff, the Global Head of Strategy at Citi, where he guides the bank’s core focus areas, as well as future investment in emerging tech like AI. The conversation covers the shifting landscape of banking policy and regulation, the increasingly important role startups are playing in partnership with big banks, and where Tim disagrees with the zeitgeist when it comes to the adoption of AI in financial services.
0:00-1:05 Intro
1:06-2:28 Navigating bureaucracy
2:29-4:26 What "chief strategy officer" entails
4:27-8:18 Citi's role in the banking ecosystem
8:19-9:16 Fallout from the 2023 banking crisis
9:17-13:10 Citi's revised risk controls and tech investment
13:11-14:59 How Citi works with startups
15:00-20:00 Citi's future: AI and regulation
20:01-23:33 What people get wrong when it comes to AI
23:33-24:12 Outro
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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Waymo co-CEO Dmitri Dolgov joined a16z general partner David George to discuss how Waymo is using genAI to help them build safer, sustainable, and more accessible transportation. In the conversation, Dmitri talks about the potential of embodied AI, the value of simulations and building training data, and his approach to leading a company focused on solving the challenges of building AI that can navigate the real world.
[00:01:22] The early days of autonomous vehicles[00:05:27] Layering genAI into traditional AI/ML[00:09:42] The value of simulation[00:15:56] The hard part about integrating AI in autonomous systems[00:22:45] AI in the real world[00:28:47] Where does Waymo go from here?[00:37:21] Dmitri's learnings from hard problemsThis conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.
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As genAI expands through the enterprise, many leaders are figuring out how to evolve their genAI prototypes into production-ready tools. Pinecone CEO Edo Liberty and LangChain CEO Harrison Chase discuss which parts of the stack to build or buy, how to improve out-of-the-box models by helping customers select and ingest the right data, and picking the right partners to scale genAI applications with a16z Growth General Partner Sarah Wang.
[00:02:16] Navigating the gap from prototype to production[00:07:03] How to educate partners on genAI tools and capabilities[00:11:38] Deciding whether to build or buy[00:17:36] Successful implementations of genAI[00:21:20] Balancing enterprise and open-source community needs[00:23:06] Balancing short-term revenue gains with long-term vision[00:25:18] Picking the right partners to scaleFor a transcript of this episode of a16z Live!, click here.
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In this episode, which took place at a16z's Connect Fintech event, a16z General Partner David George interviews Capital Group's Mark Casey on his investment philosophy, what sends him into what he calls "barnacle mode," his preference for customer-focused North Star metrics, and more.
0:00-1:42 Intro
1:42-5:58 Approach to investing
5:58-8:20 What Casey told Jeff Bezos, and what he learned
8:20-12:57 How CEOs communicate with public market investors; unconventional North Star metrics
12:57-15:48: Why Casey loves dividends
15:48-20:44 Macro trends and investing theses
20:44-21:37 Ecommerce predictions
21:37-23:15 Opportunities and choke points in AI
23:15-25:18 What makes a great public company?
25:18-26:04 Outro
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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In this conversation, which took place at a16z's Connect Fintech event, a16z General Partner Angela Strange, Plaid CEO and cofounder Zach Perret, and Marqeta CEO Simon Khalaf discuss how AI will shape the future of banking, the battle between payment rails in the U. S., and how there's still opportunity to transform the basic credit card into a fully digital product.
0:00-1:42 Intro
1:42-1:56 Topics: Generative AI, payment rails shift, and regulation in open banking and sponsor banking
1:56-4:46 GenAI's potential impact on credit modeling and fraud
4:46-7:09 Implications of payment products becoming digital products ("The open face of the internet")
7:09-8:33 Why brands need to embed finance, and why every company will eventually be a fintech company
8:33-11:01 The card vs. pay-by-bank debate
11:01-12:24 New infrastructure to combat fraud
12:24-17:27 Reassessing traditional "top-of-wallet" tactics and longstanding business models
17:27-20:04 Potential implications of Visa/Mastercard antitrust suit
20:04-24:12 Regulation around open banking and sponsor banks
24:12-24:40 Outro
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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In a new episode of In the Vault, a16z General Partner Angela Strange talks with Jeff Sloan, former CEO of Global Payments, about how he was early to spot significant industry trends, how to make bets that move an organization, and the sea change that AI represents for the financial services industry.
0-1:40 Intro
1:40-8:15 Joining Global Payments
8:15-19:30 Placing many bets
19:30-26:10 Deal integration and scale advantage
26:10-31:35 GenAI sea change
31:35-32:19 Outro
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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In a new episode of In the Vault, a16z General Partner David Haber talks with Marty Chavez, a partner and vice chairman of Sixth Street Partners, about the foundational role he’s had in merging technology and finance throughout his career, and the magical promises and regulatory pitfalls of AI.
0-1:30 Intro
1:30-12:50 Marty's history and transition to Wall Street
12:50-20:50 Financial Crisis and SecDB
20:50-32:10 GenAI's impact
32:10-36:15 AI and biotech
36:15-37:06 Outro
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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In a new episode of In the Vault, a16z General Partner David Haber talks with Marco Argenti, the chief information officer at Goldman Sachs, about bringing fintech processes into financial services, turning developers into clients, and how AI is a major inflection point in the history of technology.
0-1:30 Intro
1:30-12:05 From tech to financial services
12:05-17:30 Turning developers into clients
17:30-23:50 GenAI and productivity
23:50-28:50 The future of financial services
28:50-29:31 Outro
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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In this SaaS era, partnering with no one means competing with everyone. How the best companies take advantage of ecosystem-led growth—or where they sit in the SaaS ecosystem to improve acquisition, expansion, and access to new markets, as discussed by a16z general partner Sarah Wang and Crossbeam CEO Bob Moore.
[00:01:43] The birth of ecosystem-led growth[00:05:12] The data revolution in partnerships[00:12:46] Integrating ecosystem-level GTM motions[00:16:29] Bob's founder history[00:24:30] Ecosystem-qualified leads and new opportunities[00:29:34] ELG as AI force multiplierFor a transcript of this episode of a16z Live!, click here.
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CEO of Quora Adam D’Angelo discusses how building infrastructure for creators can democratize AI, in conversation with a16z’s David George.
[01:07] Social networks as compliment to AI[03:59] Poe: bringing AI to the masses[05:51] The future of AI is multi-model and multimodal[08:11] Is the model the product?[11:31] Building AI infrastructure for creators[13:41] Navigating platform shifts[16:02] Sharing human- and computer-generated knowledge[17:43] Knowledge sharing on the internet[20:41] The benefits of scale for AI[21:59] Competing on scale or feature differentiation[25:01] Fault tolerance as a wedge for startupsThis conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.
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Hiring the right executives at the right time is the key to scaling your company. But to many founders, the executive search and hiring process can feel like a black box. a16z talent partner Matt Oberhardt dives deep into the executive search process with Kelli Dragovich and Nolan Church on the HR Heretics podcast.
[00:01:21] How a16z talent partners assess talent
[00:03:42] Balancing internal and external roles
[00:04:57] Measuring success in talent assessment
[00:06:07] The MOC
[00:10:29] Whiteboard sessions for assessing fit
[00:13:10] Referencing as a continuous cycle
[00:16:47] Putting negative references in context
[00:20:25] Assessing personal growth vs. mistakes
[00:21:50] Establishing trust with founders
[00:25:03] Vetting EQ
[00:26:53] Measuring success of what you can't control
[00:28:43] Why hire veterans for startups
[00:33:45] Talent landscape in 2024
[00:35:20] Recruiting top talent in a tight market
[00:38:42] Hiring the "operational glue"
[00:39:36] The value of tough feedback
You can read the key takeaways from this conversation, along with a transcript, here.
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Respecting privacy and building trust with communities is essential to effectively integrate technology into public safety. a16z general partner David Ulevitch, Flock Safety’s Garrett Langley, and Las Vegas Metropolitan Police Department Sheriff Kevin McMahill discuss how to build and implement products that communities can trust.
[00:01:22] Flock Safety's impact on public safety
[00:05:50] Building trust through tech
[00:08:23] How Flock Safety builds its product roadmap
[00:11:06] Drones as first responders
[00:15:46] Data privacy and protection
[00:19:05] How the Las Vegas Metropolitan Police Department rolls out new technology
[00:21:11] AI, robots, and the future of tech in public safety
This conversation was recorded at a16z’s 2023 LP Summit. To read a transcript of this talk, click here.
- Visa fler