У нас вы можете посмотреть бесплатно Amazon Stage: The Data That Makes AI Useful, Safe & Scalable – with Brent Gregory (AWS) или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
What makes AI actually useful, safe, and scalable? In this Amazon Stage episode recorded at Amazon Development Center Poland in Gdańsk, Maciek Tęgi sits down with Brent Gregory, Director of Amazon Relational Database Services (AWS). They unpack real-world lessons from scaling Amazon.com for peak events, modern database migrations, and privacy-by-design. From removing ambiguity with small, focused teams to combining GenAI with proven tools like AWS DMS Schema Conversion (owned end-to-end by our Gdańsk team), this conversation is a practical blueprint for building responsibly at scale. Highlights from the episode: ➡️ Scaling for Prime Day & Black Friday: how teams turn fuzzy problems into measurable signals and automate capacity. ➡️ GenAI + deterministic rules: how adding a GenAI module lifted conversion coverage from ~80% to 98–99% in Schema Conversion. ➡️ Privacy by design: encrypt, mask, classify and avoid touching customer data whenever possible. ➡️ What “single-threaded ownership” looks like in practice for the Gdańsk team. ➡️ Zero-ETL: where databases meet AI. ▶️ Watch now for a grounded look at data, AI, and migration done right—safely, responsibly, and with customers in mind. Subtitles available in Polish and English. Listen to Amazon Stage on: Spotify: https://open.spotify.com/show/7prkdPP... Amazon Music: https://music.amazon.com/es-us/podcas... Audible: https://www.audible.com/podcast/Alexa... Follow us for more: Instagram: / amazonstagepodcast Facebook: / amazondevpl LinkedIn: / amazon-development-center-poland ⏱ What’s inside this episode? 00:00 – Intro & why data quality matters for AI 00:03 – Brent’s path: peaks, privacy, and databases 00:08 – Removing ambiguity to scale Prime Day/Black Friday safely 00:15 – GenAI supercharging Schema Conversion to 98–99% coverage 00:22 – Privacy by design: encryption, masking & data classification 00:27 – Gdańsk ownership model: end-to-end product responsibility 00:32 – Zero-ETL, pgvector & what’s next for migrations + AI 🎙️ PL: Co sprawia, że AI jest naprawdę użyteczne, bezpieczne i skalowalne? W odcinku nagranym w Amazon Development Center Poland w Gdańsku Maciek Tęgi rozmawia z Brentem Gregory, dyrektorem Amazon Relational Database Services (AWS). Znajdziesz tu konkretne lekcje: jak usuwać „niejasność” przy skalowaniu wydarzeń, jak GenAI podniosło skuteczność Schema Conversion do 98–99% oraz jak projektować rozwiązania w duchu privacy-by-design. Napisy PL/EN dostępne w ustawieniach. Najciekawsze momenty: ➡️ Skalowanie na szczyty (Prime Day, Black Friday) krok po kroku. ➡️ GenAI + reguły deterministyczne w migracjach (Schema Conversion). ➡️ Szyfrowanie, maskowanie, klasyfikacja danych i minimalizacja ekspozycji. ➡️ Rola zespołu w Gdańsku i odpowiedzialność end-to-end. Słuchaj na: Spotify: https://open.spotify.com/show/7prkdPP... Amazon Music: https://music.amazon.com/es-us/podcas... Audible: https://www.audible.com/podcast/Alexa...