Alejandro Saucedo @ AI O'Reilly SJ & #StrataData

@AxSaucedo

Engineering Director at | Chief Scientist at The Institute for | Building the Future of Production ML with OSS

London, England
Vrijeme pridruživanja: veljača 2009.

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  1. Prikvačeni tweet

    A deep dive tutorial to build end-to-end re-usable NLP Pipeline components with Kubeflow and deploy them with Seldon. Kubeflow is an open source framework that helps you run reproducible ML workloads in K8s & deploys + monitors them

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  2. prije 15 sati

    A huge thank you to everyone who came - and a round of applause for all of our speakers: , , , , Vijayalaxmi Aithani, Chris James, Heba Bevan and ! Sign up for future Osborne Clarke events 📨

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  3. prije 16 sati

    Advice from : "We created the procurement frameworks - getting everyone to agree universally what is bad practice with AI. It is a risk to introduce new technologies - therefore reducing risks using a procurement framework mitigates these risks"

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  4. prije 16 sati

    giving a typically punchy talk - “we all agree that bad stuff is bad”, key is what you actually do about it; “fortunately people here love procurement frameworks”

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  5. prije 17 sati

    "You have to have a business requirement that needs to be solved by . A clear business case to get board buy-in is crucial." -

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  6. prije 17 sati

    It's now time for our first panel - we're exploring the commercial considerations for businesses when procuring AI tools from suppliers. We'll hear from Osborne Clarke's , Heba Bevan from and from

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  7. 4. velj

    So you're looking to introduce into your business ... what do you need to think about? Join us tomorrow for – our London event on buying and managing AI in the 21st century 🤖

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  8. Google's General Conversational AI; The current open-domain chatbots have a critical flaw — they often don’t make sense. Google presents Mena, a 2.5b param model which can conduct conversations more sensible/specific than existing state of the art chatbots

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  9. 4. velj

    We'll be joined by two brilliant keynote speakers: from Engine B, and from and . While our guest panellists include: 🗣️Vijayalaxmi A. from Microsoft 🗣️Chris James from 🗣️Heba Bevan from 🗣️ from

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  10. Table Detection & Information Retrieval with Deep Learning; The amount of data being collected is drastically increasing day-by-day. In this article they cover the motivations, techniques and solutions on information retrieval research and practice.

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  11. Mexicanos chingones. Éxito a mi amigo y tocayo, Alex Saucedo ;) ()

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  12. 3. velj

    Deploying a ML solution to production is actually complicated. At 2020, will provide us with an overview of the state-of-the-art trends, including ML deployment, interpretability, orchestration & concept drift. More at

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  13. A lot of great content in this week's Machine Learning Engineer 🤖 In this week's edition we dive into Table & Information Retrieval with DL, Google's general conversational AI, Privacy-preserving ML, Airflow's Queueing System, Confidence models + more 🚀

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  14. 2. velj
    Odgovor korisnicima i sljedećem broju korisnika:

    Yes 💯! Great to hear your talk & happy you were part of 🤗

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  15. 2020 has yet again overdelivered on all expectations! Belgian waffles, friends and open source! Thanks to everyone for joining my talk on "MLOps and CI/CD for ML w + "! This has shown Brexit will not get on the way of open source!

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  16. 2. velj

    Now examople link + shoutout to & MLOps SIG, get involved folks!

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  17. 2. velj
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  18. 2. velj

    Using for MLOps CI enabled OSS contributions at scale

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  19. 2. velj

    Then for MLOps CD uses , environments & canary deployments has numerous benefits

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  20. 2. velj

    Fascinating talk by on how have created an framework using ✨🙌

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  21. From local to global XAI: Tree-based models have seen a steady increase in adoption in produciton use-cases, and with that adoption has also come demand for compliance and reduction of operational risks.

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