Groups System Design Systems Review Technical Review 
Lacework
NOVEMBER 1, 2023
When architecting data systems, a key philosophy is keeping customer privacy front and center both in the design choices made and and options presented to the user, while ensuring the ability to meet business needs and service criteria. A mart is a group of aggregated tables (e.g.,
Xebia
AUGUST 9, 2023
With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.
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TechCrunch
AUGUST 30, 2021
A new startup called Clay , backed by $8 million in seed funding, has built a system designed to help you be more thoughtful with the people in your life, which operates somewhat like a personal CRM. It’s also offering cheaper access to certain groups, like students and nonprofits, if a request is emailed.).
CTOvision
JANUARY 19, 2014
None of them were really about technology. The really interesting stories, at least from a CTO perspective, are big technology mega trends that are forcing change and positive improvements in enterprise IT. The Top Federal Technology Topics of 2013. This is the big data news of 2013, from a technology perspective.
CTOvision
JULY 21, 2015
The Defense Science Board Report of January 2013 on the resilience of DoD systems to cyber attack. Read on for more about what the DSB reported as the threat to military systems. It is also available at: Resilient Military Systems and the Advanced Cyber Threat. Here are more details: .
Tenable
FEBRUARY 3, 2023
issues framework for secure AI Concerned that makers and users of artificial intelligence (AI) systems – as well as society at large – lack guidance about the risks and dangers associated with these products, the U.S. National Institute of Standards and Technology (NIST) is stepping in. 1 - Amid ChatGPT furor, U.S.
CIO
JULY 21, 2023
Traditional methods of soliciting this feedback, such as focus groups and beta testing programs, apart from being expensive, often result in poor results. The “one size fits all” approach often employed leads to inadequacies due to inabilities to account for the demands of a broad range of users.
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