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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events. I still code in R… One role I had for many years was to lead technical training events for the global specialist systems engineers, which we called the Ambassador Program.

Tuning 52
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

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What Are ChatGPT and Its Friends?

O'Reilly

which has received some specialized training. with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. Notorious for having led one Google employee to believe that it was sentient. GPT-2, 3, 3.5,

Google 104
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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130
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Automating the Automators: Shift Change in the Robot Factory

O'Reilly

Predictable: The scikit-learn classifiers share a similar interface, so you can invoke the same train() call on each one while passing in the same training dataset. Or that, just maybe, your training data is no good for the challenge at hand. Yes, this calls for a for() loop. Building a Better for() loop for ML. Damn convenient.

Tuning 130