Everything The Network Touches — dConstruct Audio Archive

Possibly related…

  1. Rachel Kalmar on data ecosystems - O’Reilly Radar

    In this new episode of the Hardware Podcast, David Cranor and I talk with data scientist Rachel Kalmar, formerly with Misfit Wearables and the founder and organizer of the Sensored Meetup in San Francisco. She shares insights from her work at the intersection of data, hardware, and health care.

    http://radar.oreilly.com/2016/02/rachel-kalmar-on-data-ecosystems.html

    —Huffduffed by albill

  2. Rachel Kalmar on data ecosystems - O’Reilly Radar

    Subscribe to the O’Reilly Hardware Podcast for insight and analysis about the Internet of Things and the worlds of hardware, software, and manufacturing: TuneIn, Stitcher, iTunes, SoundCloud, RSS. In…

    http://radar.oreilly.com/2016/02/rachel-kalmar-on-data-ecosystems.html

    —Huffduffed by akawee

  3. Rachel Kalmar on data ecosystems - O’Reilly Radar

    Subscribe to the O’Reilly Hardware Podcast for insight and analysis about the Internet of Things and the worlds of hardware, software, and manufacturing: TuneIn, Stitcher, iTunes, SoundCloud, RSS. In…

    http://radar.oreilly.com/2016/02/rachel-kalmar-on-data-ecosystems.html

    —Huffduffed by alips

  4. Tyler Bell discusses Factual | Paul Miller - The Cloud of Data

    In the first of my new Data Market Chat series of podcasts, Factual’s Tyler Bell talks about the company and its plans.

    http://cloudofdata.com/2012/01/data-market-chat-tyler-bell-discusses-factual/

    —Huffduffed by mitchellkoch

  5. Listen: podcast about the alleged “data” collected by wearable devices / Boing Boing

    In this new episode of the Hardware Podcast, David Cranor and I talk with data scientist Rachel Kalmar, formerly with Misfit Wearables and the founder and organizer of the Sensored Meetup in San Francisco. She shares insights from her work at the intersection of data, hardware, and health care.

    Discussion points:

    *

    The need for a “data ecosystem” approach: it’s important to understand the entire stack from acquisition through storage and analysis, and where security and privacy become concerns.

    • Analysis and insight as the real value in data: consumers get very little from raw data.

    • Authentication for smart devices—and an experiment (let us know if your lights went out during this podcast by e-mailing hardware@oreilly.com).

    http://boingboing.net/2016/02/17/listen-podcast-about-the-alle.html

    —Huffduffed by markhulme

  6. Rachel Kalmar on Data Ecosystems

    In this new episode of the Hardware Podcast, David Cranor and I talk with data scientist Rachel Kalmar, formerly with Misfit Wearables and the founder and organizer of the Sensored Meetup in San Francisco. She shares insights from her work at the intersection of data, hardware, and health care.

    ===
    Original video: https://soundcloud.com/oreilly-radar/rachel-kalmar-on-data-ecosystems
    Downloaded by http://huffduff-video.snarfed.org/

    —Huffduffed by samuelhansen

  7. Interoperable Locations: Matching Your Places with My Places

    Developers and applications have challenges matching the same location between data sources and sharing a location between applications. Why? In this panel, we’ll look at the pros, cons, and challenges of using proprietary, open source, and/or community-built data sets; why there won’t be one location database to rule them all; ways we can all work together to make sure your place is my place when our applications talk to each other; and why all of this is important.

    http://schedule.sxsw.com/events/event_IAP000465

    download

    Tagged with sxsw

    —Huffduffed by iamdanw

  8. The Business of Selling Your Location - The New York Times

    Smartphone apps track a staggering amount of data about our whereabouts every day. That data has become a hot commodity.

    https://www.nytimes.com/2018/12/10/podcasts/the-daily/location-tracking-apps-privacy.html

    —Huffduffed by HolgiBoy

  9. Why privacy settings can’t keep your location secret

    Phone carriers can sell location data to third parties, and you can’t opt out.

    https://www.marketplace.org/2018/05/22/tech/why-privacy-settings-cant-keep-your-location-secret

    —Huffduffed by leeacker3

  10. Tools for Generating Deep Neural Networks With Efficient Network Architectures

    In this episode of the Data Show, I spoke with Alex Wong, associate professor at the University of Waterloo, and co-founder of DarwinAI, a startup that uses AI to address foundational challenges with deep learning in the enterprise. As the use of machine learning and analytics become more widespread, we’re beginning to see tools that enable data scientists and data engineers to scale and tackle many more problems and maintain more systems. This includes automation tools for the many stages involved in data science, including data preparation, feature engineering, model selection, and hyperparameter tuning, as well as tools for data engineering and data operations.

    Wong and his collaborators are building solutions for enterprises, including tools for generating efficient neural networks and for the performance analysis of networks deployed to edge devices.

    ===
    Original video: https://soundcloud.com/oreilly-radar/tools-for-generating-deep-neural-networks-with-efficient-network-architectures
    Downloaded by http://huffduff-video.snarfed.org/ on Fri, 07 Dec 2018 01:58:34 GMT Available for 30 days after download

    —Huffduffed by agileone