2013 Data Processing Testing 
O'Reilly on Data
DECEMBER 12, 2019
In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes.
CIO Business Intelligence
FEBRUARY 10, 2023
But for two years, we were testing limits within the public cloud.” Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. “We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers.
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datapine
APRIL 14, 2022
In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes. Behind the scenes.
AWS Big Data
MARCH 13, 2024
Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. After you review the cluster configuration, select the jump host as the target for the run command. zst`; do zstd -d $F; done rm *.zst
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AWS Big Data
JULY 11, 2024
The open source prot_t5_xl_uniref50 ML model, hosted on Huggingface Hub , was used to calculate protein embeddings. The solution can be further tuned by testing different supported OpenSearch Service KNN algorithms and scaled by importing additional protein embeddings into OpenSearch Service indexes. Resources: Elnaggar A, et al.
IBM Big Data Hub
OCTOBER 16, 2023
Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. They differ from virtual machines in that they leverage the features and resources of the host OS versus requiring a guest OS in every instance.
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