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5 questions CIOs must ask after Southwest Airlines’ failure

CIO

IT and infrastructure from the 1990s,” said Casey A. In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. While weather may have been the root cause, the 16,000 flights canceled between Dec.

Airlines 216
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5 Things Government Agencies Need to Know About Zero Trust

Tenable

It removes trust entirely from digital systems and is built upon the idea that security must become ubiquitous throughout the infrastructure. A zero trust architecture can be implemented using commercial off-the-shelf technology. In most organizations, it can be implemented using existing off-the-shelf cybersecurity products.

Security 116
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Building a digital future for settlement services

CIO

I focused this exercise on three primary areas: Business support. How do we ensure that our technology infrastructure, applications, security posture and core IT operations are not only up to industry standards but also positioned to drive the long-term success of our business? IT excellence.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The new category is often called MLOps. However, the concept is quite abstract. What does a modern technology stack for streamlined ML processes look like?

DevOps 145
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Should you build or buy generative AI?

CIO

In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.