AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

JUNE 22, 2023

Light & Wonder teamed up with the Amazon ML Solutions Lab to use events data streamed from LnW Connect to enable machine learning (ML)-powered predictive maintenance for slot machines. Predictive maintenance is a common ML use case for businesses with physical equipment or machinery assets.

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AWS Machine Learning Blog

APRIL 12, 2023

This is a guest blog post co-written with Hussain Jagirdar from Games24x7. There was no mechanism to pass and store the metadata of the multiple experiments done on the model. Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games.

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The MLOps Blog

DECEMBER 7, 2022

2022 will be remembered as a defining year for the crypto ecosystem. And we at deployr , worked alongside them to find the best possible answers for everyone involved and build their Data and ML Pipelines. There’s an old saying in Argentina that goes: “A río revuelto, ganancia de pescadores”. With that out of the way, let’s dig in!

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AWS Machine Learning Blog

FEBRUARY 20, 2024

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. ZOO Digital works with over 11,000 freelancers and localized over 600 million words in 2022 alone. in a code subdirectory. in a code subdirectory. in a code subdirectory.

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AWS Machine Learning Blog

SEPTEMBER 21, 2023

They wanted to take advantage of machine learning (ML) techniques such as computer vision (CV) and natural language processing (NLP) to automate document processing pipelines. The process relies on manual annotations to train ML models, which are very costly. On a high level, the approach can be described with the following diagram.

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DataRobot Blog

SEPTEMBER 1, 2022

IDC 2 predicts that by 2024, 60% of enterprises would have operationalized their ML workflows by using MLOps. The same is true for your ML workflows – you need the ability to navigate change and make strong business decisions. 1 IDC, MLOps – Where ML Meets DevOps, doc #US48544922, March 2022. Request a Demo.

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Heartbeat

DECEMBER 7, 2023

I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. A consistent data source, consistent integration, consistent metadata/catalog, consistent orchestration… This is the essence of the data fabric. The domain of the data.

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The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models.

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AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. As previously mentioned, CNN-QR can employ related time series and metadata about the items being forecasted.

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Heartbeat

DECEMBER 13, 2023

I need to search for the Sacramento Kings win-loss record for the 2022-2023 season. Thought:I found the Sacramento Kings' record for the 2022-2023 season, but I need to add the games won and games lost and multiply that result by 2. Then I need to add the games won and games lost and multiply that result by 2.

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AWS Machine Learning Blog

APRIL 18, 2023

Amazon Monitron is an end-to-end condition monitoring solution that enables you to start monitoring equipment health with the aid of machine learning (ML) in minutes, so you can implement predictive maintenance and reduce unplanned downtime. For the detailed Amazon Monitron installation guide, refer to Getting started with Amazon Monitron.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Combining accurate transcripts with Genesys CTR files, Principal could properly identify the speakers, categorize the calls into groups, analyze agent performance, identify upsell opportunities, and conduct additional machine learning (ML)-powered analytics.

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AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. Amazon SageMaker JumpStart is an ML hub that can helps you accelerate your ML journey.

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AWS Machine Learning Blog

JUNE 7, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. billion in Q3 2021 and Q3 2022, and $6 million and $(11.3) billion for the nine months ended September 30, 2021 and 2022. (2) billion as of December 31, 2021 and September 30, 2022, respectively.

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Bugra Akyildiz

NOVEMBER 13, 2022

Share ## Netflix wrote about their ML Fact Store Axion in this blog post. The terminology dissects this blog post in various components with different responsibilities: Fact: A fact is data about our members or videos. An example of video data is video metadata, like the length of a video.

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AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. They provide a fact sheet of the model that is important for model governance.

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AWS Machine Learning Blog

FEBRUARY 21, 2023

After you build, train, and evaluate your machine learning (ML) model to ensure it’s solving the intended business problem proposed, you want to deploy that model to enable decision-making in business operations. They protect your application and minimize the risk of deployment of a new version of your application.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In addition, AWS developed an open-source software package, AutoGluon , which supports diverse ML tasks, including those in the time series domain. AWS services address this need by the use of ML models coupled with quantile regression. Next, backtest predictions and known actuals are joined with financial metadata on an item basis.

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ML Metadata Machine Learning Data Science 88

PyImageSearch

JULY 3, 2023

In this blog post, we will dive deeper into the Netflix movies and series recommendation systems ( Figure 1 ). Each item has rich metadata (e.g., And it goes on to personalize title images, trailers, metadata, synopsis, etc. genre, actors, director, year, popularity). Millions of queries are searched on Netflix every day.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

We analyzed around 215 matches from the Bundesliga 2022–2023 season. To process match metadata, we use an AWS Lambda function called MetaDataIngestion , while positional data is brought in using an AWS Fargate container known as MatchLink. This is the key number that represents the shot’s speed and power. fast shots.

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AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. They provide a fact sheet of the model that is important for model governance.

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ML Data Scientist Machine Learning Automation 52

Heartbeat

FEBRUARY 29, 2024

The header contains metadata such as the page title and links to external resources. Here’s the URL for Action Movies of 2022 : [link]. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Mlearning.ai

DECEMBER 21, 2023

The Curse of the LLMs 30th November, 2022 will be remembered as the watershed moment in artificial intelligence. ML models are mathematical models and therefore require numerical data. Vector Databases augment the indexing with typical database features like data management, metadata storage, scalability, integrations, security etc.

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AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. Fotinos Kyriakides is an ML Engineer with AWS Professional Services. Cologne achieved an incredible ball recovery time of 13.4

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AWS Machine Learning Blog

FEBRUARY 1, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium —a purpose-built machine learning (ML) accelerator optimized to provide a high-performance, cost-effective, and massively scalable platform for training deep learning models in the cloud. For example: apiVersion: eksctl.io/v1alpha5

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John Snow Labs

JUNE 2, 2023

There are separate blog posts for the rule-based systems and for statistical methods. It is built on top of Apache Spark and Spark ML and provides simple, performant & accurate NLP annotations for machine learning pipelines that can scale easily in a distributed environment.

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AWS Machine Learning Blog

MARCH 6, 2023

These factors require training an LLM over large clusters of accelerated machine learning (ML) instances. SageMaker Training is a managed batch ML compute service that reduces the time and cost to train and tune models at scale without the need to manage infrastructure. SageMaker-managed clusters of ml.p4d.24xlarge

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John Snow Labs

MAY 26, 2023

It is built on top of Apache Spark and Spark ML and provides simple, performant & accurate NLP annotations for machine learning pipelines that can scale easily in a distributed environment. You can find another example of sentence similarity in this blog post. setInputCol("text").setOutputCol("document")

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch , making it possible to push metrics from the Amazon CloudWatch Agent to Amazon CloudWatch and monitor your code for optimal GPU utilization. env-config.sh and then set CONF=conf/eksctl/yaml/eks-gpu-g5.yaml eks-config.sh

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O'Reilly Media

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. Instead what I decided to do was to parse the “landing pages” for each paper that contains metadata such as its title, abstract, and publication date. using “22” for the year 2022). and chrono-node.

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Flipboard

MARCH 23, 2023

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. O’Reilly, 2022). Personal conversation, though he may also have said this in his blog. This example taken from [link].

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