AI Studios with Natalia Burina

著者： Conversations about AI with world's top builders artists researchers and thinkers.
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  • Natalia previously built AI at extreme scale with some of the most brilliant minds in the industry at Meta AI, Salesforce Einstein, and the very first version of Microsoft Bing. Join us for conversations that explore the latest hot topics in the field with some of the brightest creators, builders, researchers and thinkers. We’ll explore novel business models, new UX paradigms, how AI is changing our lives and much more. Subscribe to https://aistudios.substack.com to get full access to the newsletter and website. Never miss an update.

    aistudios.substack.com
    Natalia Burina
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あらすじ・解説

Natalia previously built AI at extreme scale with some of the most brilliant minds in the industry at Meta AI, Salesforce Einstein, and the very first version of Microsoft Bing. Join us for conversations that explore the latest hot topics in the field with some of the brightest creators, builders, researchers and thinkers. We’ll explore novel business models, new UX paradigms, how AI is changing our lives and much more. Subscribe to https://aistudios.substack.com to get full access to the newsletter and website. Never miss an update.

aistudios.substack.com
Natalia Burina
経済学
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エピソード
  • How to Build AI Responsibly | David Adkins Meta AI

    How to Build AI Responsibly | David Adkins Meta AI
    2023/10/05

    David Adkins is an experienced senior technology executive who leads engineering teams at Meta AI. David holds an MS in Computer Science from the University at Buffalo focused on machine learning. In this conversation we discuss

    * How to think about AI bias and fairness

    * Why AI Transparency, Explainability and Control are important

    * How Meta de-risked LLaMA

    * How to take AI Research to production and more.

    Listen now on Apple, Spotify and Amazon Music and please subscribe to my YouTube channel.

    ⏰ 2:06 David’s Favorite Restaurant Sammy’s Fishbox

    ⏰ 2:40 Career Stories: David’s Journey

    ⏰ 4:37 What David is working on at Meta AI

    ⏰ 4:50 How to organize AI Teams

    ⏰ 6:56 What is AI Bias and Fairness

    ⏰ 8:52 How to build a Product with AI Fairness in mind

    ⏰ 11:47 Examples of Fairness Mitigations in Meta Products

    ⏰ 13:33 What’s Surprising about working on AI Fairness

    ⏰ 16:05 What causes Bias in AI Products

    ⏰ 19:19 How to Mitigate AI Problems when you’ve already launched

    ⏰ 21:38 What is AI Transparency and Control

    ⏰ 24:12 What is AI Explainability?

    ⏰ 26:10 Why YOU should care about AI Transparency

    ⏰ 31:00 What is surprising about working on AI Transparency

    ⏰ 33:00 AI System Cards

    ⏰ 37:30 Developing LLaMA Responsibly

    ⏰ 39:30 How to de-risk large language models

    ⏰ 43:06 How to do AI Research to production

    ⏰ 46:51 What’s next for David



    This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com
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    49 分
  • AI Opportunities in Healthcare with Javier Tordable, Technical Director at Google

    AI Opportunities in Healthcare with Javier Tordable, Technical Director at Google
    2023/08/29
    Javier Tordable is a Technical Director at Google where he drives long term technical strategy for Google Cloud at the CTO Office. Recently Javier has been focusing on healthcare, pharma and biotech, and helping organizations use Cloud infrastructure, Machine Learning and generative AI to improve drug discovery and patient care. Javier is also executive sponsor of top Google Cloud customers and advisor to C-suite executives; and helped close over a billion dollars worth of Cloud contracts.In this conversation we discuss * AI opportunities in healthcare, * Why AlphaFold is such a big breakthrough * Longevity (including Javier’s Longevity Protocol) and more.Listen now on Apple, Spotify and Amazon Music and please subscribe to my YouTube channel.⏰ 1:50 Javier’s background ⏰ 5:30 Javier’s role at Google ⏰ 9:05 How Javier approaches Strategy ⏰ 15:17 Tech and AI adoption in Healthcare ⏰ 17:10 Understanding Organizational Incentives in Healthcare ⏰ 18:00 Tools that can overcome Tech Limitations in Healthcare ⏰ 19:00 AI Opportunities and Use Cases in Healthcare ⏰ 23:20 AI Privacy for healthcare ⏰ 29:38 Why Alphafold is a big deal ⏰ 31:16 What Alphafold does ⏰ 32:36 How Alphafold will change healthcare ⏰ 35:55 The big Problem that Alphafold will solve ⏰ 36:43 Longevity ⏰ 44:25 Javier’s Longevity Hacks ⏰ 46:58 How to get into healthcare if you’re a techie and how to get into tech if you’re in healthcare? ⏰ 49:44 Javier’s advice to someone starting out ⏰ 52:12 what’s next for JavierWhere to find Javier • LinkedIn • Web• Javier on TwitterWhere to find Natalia • AI Studios on YouTube • Natalia’s Substack• Natalia on Twitter• LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com
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    56 分
  • Leading AI Teams | Sonny Patel Product & Engineering Exec (LivePerson, Amazon, Microsoft)

    Leading AI Teams | Sonny Patel Product & Engineering Exec (LivePerson, Amazon, Microsoft)
    2023/06/20
    Sonny Patel is a tech executive who ran a team of 250 product managers and engineers at LivePerson. Before that, she ran a cross-functional org of designers, product managers, technical program managers and developers at Amazon. Sonny was also at Microsoft where she grew from an entry level product manager to a leader of leaders.Here's a written summary of our conversation. You can also listen to the audio version via SubStack, Apple and Spotify. Or you can check out the convo on YouTube.  Rising to and Operating at Executive LevelCareer Breakthroughs I asked Sonny what was the pivotal moment that put her on the executive path. Sonny recounted how a VP at Amazon took a bet on her by entrusting her with a cross functional team. This expanded her scope significantly and set her up for bigger opportunities. Sonny attributes this breakthrough to both leadership support and a fortuitous situation. However, to position herself Sonny offered the following playbook. Playbook📖 Develop your knowledge and skills over years. No shortcuts here.🏆 Champion - You need a champion to take a bet on you. Your knowledge and skills will enable your champion to stand behind you.📍Situational Awareness - you need to recognize and capitalize on a unique opportunity to distinguish yourself. In Sonny’s case it was about saying yes to managing an engineering team in addition to product.🎗Support System - You can’t make it without a professional support system.Value of Good and Bad Managers in early careerSonny believes that there is value in having one good and one bad manager early on.  Watching and learning from other people’s management mistakes is a good way to build empathy for future reports. A good manager is able to provide psychological safety for their reports. This improves performance and sets people up to do their very best work. Sonny’s own experience with a bad manager taught her to have empathy and cultivate patience towards her reports. When people are new to product management or the AI space, managers should be especially patient. How Sonny creates Psychological Safety for her Teams🙋🏻‍♀️ Encourage and support people to ask silly questions 🙊 Allow people to make mistakes and learn without fear. ✔️ Sonny used regular check-ins and reporting mechanisms to monitor team progress and identify issues earlyBuilding AI Products and Running AI TeamsHow AI products are different 🪩 People tend to get enamored with the latest shiny technology. Sonny emphasized the importance of focusing on usefulness and not just the "cool" factor. AI Products should solve real problems for users in meaningful ways.🔐 Privacy, Transparency and Control are critical. Users are willing to share data when they see a benefit and feel in control. Apply the idea of a privacy transaction when building products - if a product collects users data, the user should get something in return. Users should feel in control and everything should be done with their consent. Provide user control options in a coherent way that all fits together. Why most AI products fail AI products often fail due to edge cases that were not considered during design and testing. User expectations are often higher than what the technology can reliably deliver.What makes Amazon an efficient execution machineBefore building a tech product, start with the customer and work backwards by understanding their problem. Amazon believes in the power of writing down things. Write a Press Release to imagine what your product unveiling may look like including all the related messaging. A Press Release is a one-pager that anybody should be able to read and understand. Some of the questions that a Press Release addresses are:* What is the customer problem?* Who is the target customer?* Why is the idea big enough?* Why now?* What does the product development team say to customers? * What would your customers say after using that product or feature?* How is this overall fitting into your existing product strategy? Furthermore a Press Release includes how the customers can get started, what they need to do, any associated costs, configuration experience, etc. After this, the team starts to dive deeper in terms of thinking about the product design aspect. Sonny’s favorite aspects of the process are two things, Tenets and Rude Questions FAQ. The Power of Tenets Tenets are a set of principles around decision-making criteria. Having a clear set of tenets is useful for breaking debates during product design. Tenets define what is important in terms of trade offs. For example, sacrificing complex additional functionality in favor of simple and intuitive design for a non-tech audience. This is a potential debate that the product team could have. If the team was to make a trade-off, which side would they pick over the other? That's a great tenet. Definition of tenets requires a lot of thought. Why you Need a Rude Questions FAQ for your ProductA...
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