Tag: EMR
How AI data entry brings relief and efficiency
It's a scene all too common around tax season — the accounting team huddled in a room, heads down, manually entering data from stacks...
Top News
Breaking News
Best Business Models for Startups: 2024 Prediction
The fintech sector in 2023 has experienced unparalleled expansion, marking its prominent role in the worldwide financial landscape.
As per EMR's data, the global fintech...
How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services
This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company...
Heidelberg Engineering Announces FDA Clearance for All-in-One ANTERION Platform
FRANKLIN, Mass.–(BUSINESS WIRE)–Heidelberg Engineering, a global leader in ophthalmic imaging and healthcare data solutions, announces FDA clearance of its innovative all-in-one ANTERION® platform, designed...
Is Cloud Computing the Backbone of Data Science
Data is everywhere, and it comes in large amounts. Making sense of it all can lead to amazing discoveries and better business decisions. Yet,...
Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines | Amazon Web Services
Amazon SageMaker Pipelines is a fully managed AWS service for building and orchestrating machine learning (ML) workflows. SageMaker Pipelines offers ML application developers the...
Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services
Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. You can...
Host the Spark UI on Amazon SageMaker Studio | Amazon Web Services
Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. You...
Use Amazon SageMaker Canvas to build machine learning models using Parquet data from Amazon Athena and AWS Lake Formation | Amazon Web Services
Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet...
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio | Amazon Web Services
In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of...
Reduce Amazon SageMaker inference cost with AWS Graviton
Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your ML inference needs. It’s a...
Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension
Jupyter notebooks are highly favored by data scientists for their ability to interactively process data, build ML models, and test these models by making...
Serving web3. data at web2. scale | Ledger
Serving a large user base with reliable, consistent and low latency data is a very hard challenge for any backend team. At Ledger, we...