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Building With AI

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5 snips
Nov 19, 2024 • 50min

AI as the Healthcare Workforce Multiplier | Brian Kalis (Health Strategy Lead at Accenture)

Brian Kalis, the Health Strategy Lead at Accenture with over 20 years in healthcare digital transformation, explores the transformative role of AI in healthcare. He delves into how AI is set to enhance efficiency and tackle industry challenges, especially post-COVID. The conversation highlights crucial strategies for governance in generative AI and the importance of a product-oriented mindset for successful adoption. Kalis emphasizes the need for cross-functional collaboration and leadership involvement to navigate the complex landscape of AI integration in healthcare.
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Aug 5, 2024 • 47min

Doubling down on surprises: Anthropic’s product strategy | Scott White (Product)

Scott White, a Product leader at Anthropic with experience from Dropbox to Airtable, dives into the evolving landscape of AI product development. He shares insights on structuring teams for innovation and de-risking AI projects. Scott emphasizes the importance of hands-on experience, rapid prototyping, and bridging the gap between research and product. He offers fascinating predictions for Claude's future and provides actionable advice for aspiring product builders in the LLM space. Prepare for a thought-provoking discussion on the next generation of AI.
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Jul 17, 2024 • 45min

Creating the "AI Data Cloud" of the future | Sridhar Ramaswamy (CEO of Snowflake)

In this episode, host Hamza Choudery is joined by Sridhar Ramaswamy, the CEO of Snowflake. Before taking the helm at Snowflake, Sridhar scaled Google's ads business from ~$1B to $115 billion and founded one of the first AI search companies, Neeva (which was acquired by Snowflake in 2023).During the episode, he discusses:The first principles for AI product building,The importance of product velocity,The future of the foundation model layer,Creating data flywheels with AI,And much more!—[00:00] Up next:[00:29] Episode introduction[01:28] Autoblocks: AI Optimization Platform[01:52] Sridhar's journey[08:47] The birth of Neeva and the GPT moment[13:32] Lesson from Google for startups[16:19] The Snowflake acquisition[21:48] Snowflake's AI product strategy[26:35] Snowflake's internal and external AI applications[28:39] Snowflake Cortex[30:37] The future of the foundation model layer[34:52] The AI data flywheel[38:09] Building reliable LLMs[41:52] Lightning round[43:08] Sridhar's hottest AI take—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Sridhar Ramaswamy:Linkedln: https://www.linkedin.com/in/sridhar-ramaswamy/X: https://x.com/RamaswmySridharLearn more about Snowflake:Website: https://www.snowflake.com/en/LinkedIn: https://www.linkedin.com/company/snowflake-computing/X: https://x.com/snowflakedbWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI
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31 snips
Jun 26, 2024 • 48min

Identifying high-value use cases for AI | Tomasz Tunguz (Founder of Theory Ventures)

Guest Tomasz Tunguz, a VC with AI expertise, delves into AI's evolution, modern data stacks, human evaluations, and high-value use cases. Topics also cover AI disrupting industries, advice for incumbents and startups, successful distribution strategies like Midjourney's on Discord, and the future of AI in non-determinism and professional relationships.
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Jun 18, 2024 • 35min

Leveraging LLMs to simplify healthcare navigation | Jayodita Sanghvi (Included Health)

In this episode of Building With AI, host Hamza Choudery sits with Jayodita Sanghvi, Senior Director of Data Science at Included Health. Jayodita completed a PhD in Bioengineering at Stanford before jumping in industry with the goal of raising the standard of healthcare for everyone.In her current role leading data science at Included Health, her team uses AI to help simplify healthcare for users by providing services like clinical care and specialist recommendations.During the episode, Jayodita discusses:How LLMs are going to improve healthcare delivery,Why Included Health relies primarily on prompt engineering,How to get the most out of early adopters by using them for feedback loops,Regulation and bias considerations for AI in healthcare,And much more!—[00:00] Up next:[00:57] Episode introduction[02:04] Autoblocks: AI Optimization Platform[02:29] Jayodita’s introduction[05:25] A look into Included Health[08:53] Jayodita on LLMs in healthcare[15:36] The GenAI dream team[17:17] API vs. OpenAI: What does Included Health use?[18:16] Why Included Health relies primarily on prompt engineering[20:40] How to get the most out of early adopters[22:52] Regulation and bias in AI for healthcare[26:55] Startups and incumbents: Will both win?[30:04] The future of ML & LLMs in healthcare[33:43] Jayodita's hottest AI take—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Jayodita Sanghvi:Linkedln: https://www.linkedin.com/in/jayodita-sanghvi-34b1057/Learn more about Included Health:Website: https://includedhealth.com/resources/LinkedIn: https://www.linkedin.com/company/includedhealth/X: https://x.com/IncludedHealthWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://x.com/AutoblocksAI
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Jun 11, 2024 • 47min

Simplifying complex data tasks with AI | Rahul “Ligma” Sonwalkar (CEO of Julius.ai)

In this episode of Building With AI, host Haroon Choudery sits down with Rahul Sonwalkar, the founder and CEO of Julius.ai, an AI data analyst that helps users analyze datasets, create visualizations, and gain insights from structured data. They discuss Rahul's entrepreneurial journey, including his time at big tech companies like Facebook and Uber, the infamous "Ligma Johnson" prank, and the launch of his own venture.During the conversation, they discuss:The inspiration for creating Julius before the "ChatGPT moment,"Julius's rapid growth to 500,000+ users,How to think about competition in the AI space,The importance of testing and user feedback,And much more!—[00:00] Up next[00:54] Episode Introduction[02:00] Autoblocks: AI Optimization Platform[02:39] Rahul's Background & Introduction to Julius.ai[04:29] Product Iterations before the "ChatGPT moment”[05:58] Importance of User Testing & Feedback[14:28] User Feedback Loop at Julius.ai[17:58] How to think about competition in the AI space[24:34] Specialization vs Super Apps[28:42] Comparing Code Interpreter and Julius.ai[33:57] The infamous "Ligma Johnson" prank[35:59] Pitching Julius.ai’s vision to Jensen Huang[37:28] Engineering & Infrastructure Challenges[41:22] Product Design Challenges[42:01] Future Milestones for Julius.ai[43:11] Advice for Aspiring AI Founders—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery (CEO and Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Rahul Sonwalkar:Linkedln: https://www.linkedin.com/in/rahulsonwalkar23/X: https://x.com/0interestratesLearn more about Julius.aiWebsite: https://julius.aiLinkedIn: https://www.linkedin.com/company/julius-ai/X: https://x.com/juliusai_Where to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://x.com/AutoblocksAI
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Jun 5, 2024 • 55min

The third wave of computing: GenAI and LLMs | Quentin Clark (Managing Director, General Catalyst)

In this episode of Building With AI, host Hamza Choudery sits down with Quentin Clark, Managing Director at General Catalyst. Drawing from his extensive background, including senior engineering and product roles at Microsoft and serving as CTO at SAP and Dropbox, Quentin offers a privileged perspective on the latest wave of AI.He provides an insightful breakdown of the modern AI stack—covering hardware, foundation models, platforms, and applications—and shares his bets on where value will accrue.During the episode, they discuss:Reimagining AI-native workflows,The “ChatGPT moment,"Challenges with enterprise AI adoption,Competition between incumbents and startups,Advice for product teams building AI-powered applications,And much more!—[00:00] Up next: [00:52] Episode introduction [01:51] Autoblocks: AI Optimization Platform [02:17] Quentin's introduction[07:41] The “ChatGPT moment" [25:48] The modern AI stack [35:57] The future of AI in software engineering [41:43] Competition between incumbents and startups [46:57] Navigating non-determinism in AI[49:37] The foundation model layer: API vs. open-source—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Quentin Clark:Linkedln: https://www.linkedin.com/in/quentin-clark/X: https://x.com/quentinclarkLearn more about General Catalyst:Website: http://generalcatalyst.comLinkedIn: https://www.linkedin.com/company/general-catalyst/X: https://x.com/generalcatalystWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://x.com/AutoblocksAI
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May 29, 2024 • 52min

Augmenting healthcare documentation with LLMs and NLP | Akilesh Bapu (Founder and CEO of DeepScribe)

In this conversation, Akilesh Bapu, Founder and CEO of DeepScribe, shares his journey inspired by his oncologist father to revolutionize healthcare documentation using LLMs and NLP. He discusses the transformative potential of ambient AI, enhancing clinician efficiency and patient care. Akilesh also reflects on DeepScribe's response to the 'ChatGPT moment,' the challenges of evaluating AI in healthcare, and the strategic pivot towards private practices for early growth. Finally, he reveals insights into the future of AI in medicine and the importance of continuous feedback.
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7 snips
May 14, 2024 • 45min

Enabling a more effective reading experience with AI | Daniel Doyon (Founder at Readwise)

Daniel Doyon, Founder of Readwise, discusses UI/UX challenges in AI design, fan favorite features, automating 'bullshit jobs,' and future plans. They explore AI's role in enhancing memory retention, building traditional vs. AI features, and integrating custom GPT models for improved reading experiences.
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May 7, 2024 • 51min

Harnessing data to create intelligent machines | Naveen Rao (VP of GenAI, Databricks)

In this episode of Building With AI, host Haroon Choudery is joined by Naveen Rao, VP of GenAI at Databricks. Naveen is a serial entrepreneur who established the first AI chip company, which he sold to Intel in 2016. He then founded MosaicML in 2020, which was acquired by Databricks for $1.3 billion last year. During the episode, he shares:MosaicML’s jobs to be done,Why MosaicML teamed up with Databricks,The economics of training AI models,Advice for teams building with AI,And much more!—[00:00] Up next: [00:51] Episode introduction [01:40] Autoblocks: AI Optimization Platform [02:06] Naveen's Introduction [05:17] Naveen's experience scaling AI products [06:52] Why we need to scale AI [11:40] MosaicML's jobs to be done [14:09] Why did MosaicML team up with Databricks? [18:24] LLMs 101 [24:47] The economics of training AI models [28:11] Training a new model vs. adapting a general model [30:51] The shelf life of AI models [34:33] A look into DSPy [41:11] The challenges of DSPy [43:59] Techniques and architectures that excite Naveen [47:58] Advice for teams building with AI—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Naveen Rao:Linkedln: https://www.linkedin.com/in/naveen-rao-bba5b01/X: https://twitter.com/naveengraoLearn more about Databricks:Website: https://www.databricks.comLinkedIn: https://www.linkedin.com/company/databricks/X: https://twitter.com/DatabricksWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/LinkedIn: https://www.linkedin.com/company/autoblocks/X: https://twitter.com/AutoblocksAI

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