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A Note to Business Leaders on Software Engineering

Strategic Tech

You will be handing the initiative to your competitors who invested in their software development capabilities and are out-innovating you as a result. As a business leader, you should be asking three questions: Why is software development more complex than I thought? and business innovation speed plummets.

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Forming an Architecture Modernization Enabling Team (AMET)

Strategic Tech

external consultants or training) Preference for waiting for the problems to arise (indicating the need for an AMET) or forming an AMET early to prevent issues arising Confidence level that modernization will actually happen (sometimes it is just too unclear and lacking priority) How quickly do you want/need to modernize?

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Why is Hiring so Hard? How to Improve Your Hiring Fortunes

Strategic Tech

You’ve got a backlog full of innovative product ideas that will transform your business results, but you just can’t hire people quickly enough to build and deliver your wondrous innovations. finding good software engineers takes so long and requires so much effort… but it doesn’t have to. Hiring is so hard?—?finding

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AI meets operations

O'Reilly

First, the behavior of an AI application depends on a model , which is built from source code and training data. You need a repository for models and for the training data. And that’s essential: if you need to understand how your model behaves, and you don’t have the training data, you’re sunk.

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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Good discussion of the embodied carbon of silicon chip production. SUS304 to SUS311 No talks with these codes.

AWS 64
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Tackling the Pipeline Problem in the Architecture Research Community

ACM Sigarch

ML and deep learning innovations are constantly in the news. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. Lena Olson is a Software Engineer at Google. . Disclaimer: Newsha is a Research Scientist at Baidu and Lena is a Software Engineer at Google.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. For the past 20 years, thousands of software engineers at Amazon have been working on ML. Machine Leaning at Amazon.