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Submitted URL: https://newsletter.d2emerge.com/Prod/link-tracker?redirectUrl=aHR0cHMlM0ElMkYlMkZ3d3cubGlua2VkaW4uY29tJTJGY29tcGFueSUyRnNkdGltZX...
Effective URL: https://www.linkedin.com/company/sdtimes/
Submission: On August 30 via manual from US — Scanned from DE
Effective URL: https://www.linkedin.com/company/sdtimes/
Submission: On August 30 via manual from US — Scanned from DE
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</form>Text Content
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Google Cloud Next kicked off today! The company announced the general
availability of Duet AI in Google Workspace, as well as updates across
infrastructure, Vertex AI, analytics, and security. #googlecloudnext
#googlecloudnext23 #googlecloud Google Cloud https://lnkd.in/dXAKHvPd
GOOGLE CLOUD NEXT ‘23: UPDATES TO INFRASTRUCTURE, VERTEX AI, ANALYTICS, AND
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Join us this Wednesday for Improve: Data, a one-day virtual event that will
focus on how you can best use the data you collect by improving where and how
it is stored, enabling analysis, ML and AI, and using the data to make better
business decisions. With talks by Capital One Software, Foursquare, Melissa,
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your data processes. #data #virtualconference #continuousimprovement
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One of the newer approaches to model training in machine learning is
federated learning (FL), which is an approach that decentralizes training so
that data doesn’t need to be centrally stored, explained Kenny Bean, machine
learning software engineer at Capital One In order to take advantage of the
benefits that FL brings, Capital One created Federated Model Aggregation
(FMA), which is an open-source project that allows developers to deploy their
existing machine learning workflows in a federated setting. You can learn
more about FMA and the process of building and open-sourcing it in this
article. #machinelearning #federatedlearning #capitalone #fma
https://lnkd.in/eBVk9vKT
CAPITAL ONE OPEN-SOURCES FEDERATED LEARNING WITH FEDERATED MODEL AGGREGATION
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In this first episode of Melissa's microwebinar series - Onboarding your
clientele quickly and responsibly are key components of Anti-Money Laundering
(AML) efforts across the world. Learn how maintaining an organized and
streamlined due-diligence process can help you retain the confidence of your
clients, your team, and your auditors.
PART 1: STREAMLINING IDENTITY AND DOCUMENT VERIFICATION
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Join us tomorrow for the first event in the series!
Melissa
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6 Tage
We've teamed up with SD Times for a microwebinar series that kicks off
tomorrow Aug 24th! This series will detail screening, verification, and other
security methodologies to help your organization properly evaluate clientele.
Check it out here: https://lnkd.in/g-ZG6uTM
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Data can be an organization’s most valuable tool, but not if your database is
full of people named ‘Mickey Mouse’ or has out-of-date addresses. According
to Michael Lee, solution engineer at data verification solution provider
Melissa, the most common issues that could be present in your database tend
to be the simple ones, such as typos, inaccurate data, or mistakes from
transferring the data. Sometimes people mistype things when filling out a
form, or they may be intentionally putting in fake data. In this article, Lee
shares tips and tricks on how to avoid these simple errors from making their
way into your database. https://lnkd.in/dbS2VytY
HOW TO PREVENT COMMON DATA QUALITY ISSUES - SD TIMES
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SmartBear has announced its plans to acquire Stoplight! Learn more below ⬇
https://lnkd.in/e3hRG_Yg
SMARTBEAR TO ACQUIRE API COMPANY STOPLIGHT - SD TIMES
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FreeBSD is celebrating its 30 year anniversary! We talked to Deb Goodkin,
executive director of the FreeBSD Foundation, in the latest episode of our
podcast to discuss the history and what's next for the project. Listen at the
link below or wherever you get your podcasts. https://lnkd.in/dpiAi3zj
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Modern streaming systems send massive amounts of data consistently at
lightning-fast speeds. It takes a long time for data processing systems to
clean and reshape the raw data before sending it to the correct analytical
tools. This process adds time between ingest and when analysis can begin,
meaning “real-time” is still happening on a delay. Most data-driven
organizations must engage in this lethargic process, but not all. There is a
way to have true real-time analysis and predictive modeling available for
those decisions that can’t wait. Purpose-built time series databases speed up
time to insight and process data faster and more efficiently. Anais Dotis,
developer advocate at InfluxData, shares more in this article.
https://lnkd.in/eE_SkDBr
FASTER TIME TO INSIGHT FOR STREAMING DATA - SD TIMES
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The initial release of Custom Audience Delegation introduces the ability to
create custom audiences for buyers without an on-device SDK.
https://lnkd.in/eiiCzcwv #android #privacysandbox #privacy
GOOGLE’S LATEST PRIVACY SANDBOX PREVIEW INTRODUCES CUSTOM AUDIENCE DELEGATION
- SD TIMES
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