Hacker News

NOVEMBER 19, 2024

About the Role TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.

Computer Science 109

Computer Science Computer Science ETL ML 109

Precisely

OCTOBER 3, 2024

In reviewing best practices for your AWS cloud migration, it’s crucial to define your business case first, and work from there. Migrating to AWS can unlock incredible value for your business, but it requires careful planning, risk management, and the right technical and organizational strategies.

AWS 64

AWS Data Lakes ETL Data Pipeline 64

Towards AI

APRIL 3, 2024

Last Updated on April 3, 2024 by Editorial Team Author(s): Harish Siva Subramanian Originally published on Towards AI. Photo by Caspar Camille Rubin on Unsplash AWS Athena is a serverless interactive query system. Go to the AWS Glue Console. Create a Glue Job to perform ETL operations on your data. That is it!!

AWS 87

AWS Database ETL AI 87

AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

AWS 128

AWS Data Science ML ML 128

AWS Machine Learning Blog

MARCH 1, 2023

In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker. The ETL pipeline, MLOps pipeline, and ML inference should be rebuilt in a different AWS account.

AWS 96

AWS ML ML ETL 96

Mlearning.ai

JULY 8, 2023

In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. Extract, transform and Load Before we begin, let’s shed some light on what an ETL pipeline essentially is. ELT stands for extract, load and transform.

ETL 52

ETL Azure Python Internet of Things 52

AWS Machine Learning Blog

OCTOBER 11, 2024

This post shows you how to create an AI-powered, event-driven operations assistant that automatically responds to operational events. It uses Amazon Bedrock , AWS Health , AWS Step Functions , and other AWS services. AWS Cost Anomaly Detection alerts – Notifications about unusual spending patterns or cost spikes.

AWS 94

AWS AI AI Data Lakes 94

Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture. Validation set 11 1500 0.82

ML 123

ML ML AWS AI 123

AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.

AWS 118

AWS AI AI Python 118

AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).

AWS 110

AWS Clustering ETL Database 110

Data Science Dojo

FEBRUARY 20, 2023

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. AWS SageMaker also has a CLI for model creation and management.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

AWS Machine Learning Blog

AUGUST 21, 2023

Data is frequently kept in data lakes that can be managed by AWS Lake Formation , giving you the ability to implement fine-grained access control using a straightforward grant or revoke procedure. Account A is the data lake account that houses all the ML-ready data obtained through extract, transform, and load (ETL) processes.

AWS 90

AWS Data Lakes Clustering Data Preparation 90

AWS Machine Learning Blog

DECEMBER 13, 2023

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities you need to build generative AI applications.

AWS 119

AWS AI AI ETL 119

AWS Machine Learning Blog

JUNE 25, 2024

Amazon Bedrock , a fully managed service designed to facilitate the integration of LLMs into enterprise applications, offers a choice of high-performing LLMs from leading artificial intelligence (AI) companies like Anthropic, Mistral AI, Meta, and Amazon through a single API. The Step Functions workflow starts.

AWS 119

AWS Natural Language Processing Machine Learning Machine Learning 119

AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models.

AWS 80

AWS ML ML AI 80

AWS Machine Learning Blog

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. aligned identity provider (IdP).

Database 84

Database AWS SQL ETL 84

AWS Machine Learning Blog

OCTOBER 9, 2024

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. To use this feature, you can write rules or analyzers and then turn on anomaly detection in AWS Glue ETL.

AWS 84

AWS ML ML Data Quality 84

Data Science 101

JANUARY 17, 2020

AI Powered Speech Analytics for Amazon Connect This video walks thru the AWS products necessary for converting video to text, translating and performing basic NLP. Amazon Builders’ Library is now available in 16 Languages The Builder’s Library is a huge collection of resources about how Amazon builds and manages software.

Cloud Data 120

Cloud Data Data Science Azure ETL 120

IBM Data Science in Practice

FEBRUARY 21, 2023

Just for AI Titans — Autonomous & Continuous AI Training —  MLOPS on steroids. Photo by Jeroen den Otter on Unsplash Who should read this article: Machine and Deep Learning Engineers, Solution Architects, Data Scientist, AI Enthusiast, AI Founders What is covered in this article? Continuous training is the solution.

AI 130

AI AI Machine Learning Machine Learning 130

Pickl AI

OCTOBER 10, 2024

Typical use cases include ETL (Extract, Transform, Load) tasks, data quality enhancement, and data governance across various industries. Informatica’s AI-powered automation helps streamline data pipelines and improve operational efficiency. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

AWS Machine Learning Blog

JANUARY 10, 2024

In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. The inference pipeline fetches the model approved for the target environment from Parameter Store.

ML 118

ML ML AWS Machine Learning 118

DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. Let’s look at how we can convert unstructured data into better informative structures using new AI techniques and solutions.

AI 52

AI AI Data Lakes Database 52

AWS Machine Learning Blog

APRIL 16, 2024

IAM role – SageMaker requires an AWS Identity and Access Management (IAM) role to be assigned to a SageMaker Studio domain or user profile to manage permissions effectively. To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools.

SQL 109

SQL AWS Database Data Scientist 109

AWS Machine Learning Blog

JANUARY 17, 2024

We then discuss the various use cases and explore how you can use AWS services to clean the data, how machine learning (ML) can aid in this effort, and how you can make ethical use of the data in generating visuals and insights. For more information, refer to Common techniques to detect PHI and PII data using AWS Services.

Clustering 122

Clustering AWS ML ML 122

Data Science Dojo

OCTOBER 31, 2024

According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research. With the continuous growth in AI, demand for remote data science jobs is set to rise. Specialists in this role help organizations ensure compliance with regulations and ethical standards.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

phData

SEPTEMBER 2, 2024

In this blog, we will cover the best practices for developing jobs in Matillion, an ETL/ELT tool built specifically for cloud database platforms. Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. Some of the supported ones for the Matillion ETL/ELT are GitHub , Bitbucket , and Azure DevOps.

ETL 52

ETL Data Warehouse SQL Database 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. From internal knowledge bases for customer support to external conversational AI assistants, these applications use LLMs to provide human-like responses to natural language queries.

AI 90

AI AI AWS Data Scientist 90

AWS Machine Learning Blog

JULY 6, 2023

A number of AWS independent software vendor (ISV) partners have already built integrations for users of their software as a service (SaaS) platforms to utilize SageMaker and its various features, including training, deployment, and the model registry. In some cases, an ISV may deploy their software in the customer AWS account.

ML 87

ML ML AWS Data Scientist 87

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

AI 123

AI AI ML ML 123

AWS Machine Learning Blog

JANUARY 20, 2023

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. The challenge CCC processes more than $1 trillion claims transactions annually.

AWS 70

AWS AI AI Computer Science 70

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

AI 75

AI AI Machine Learning Machine Learning 75

AWS Machine Learning Blog

APRIL 4, 2024

The following diagram illustrates the architecture of a news recommender application powered by Amazon Personalize and supporting AWS services. AWS Glue performs extract, transform, and load (ETL) operations to align the data with the Amazon Personalize datasets schema. Happy building!

AWS 95

AWS ETL Data Scientist Database 95

AWS Machine Learning Blog

APRIL 24, 2023

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. Initially, I believed that implementing AI would be costly. overall accuracy.

ML 68

ML ML AWS Machine Learning 68

AWS Machine Learning Blog

JANUARY 6, 2023

TR has been an early adopter of ML with Amazon SageMaker , and their maturity in the AI/ML domain meant that they had collated a significant dataset of relevant data within a data warehouse, which the team could train a personalization model with. The entire workflow is orchestrated using AWS Step Functions. Driving email campaigns.

AWS 74

AWS Data Warehouse ML ML 74

phData

SEPTEMBER 25, 2024

While numerous ETL tools are available on the market, selecting the right one can be challenging. There are a few Key factors to consider when choosing an ETL tool, which includes: Business Requirement: What type or amount of data do you need to handle? It can be hosted on major cloud platforms like AWS, Azure, and GCP.

ETL 52

ETL Database Data Warehouse Analytics 52

phData

AUGUST 9, 2024

Imagine you are building out a routine sales report in Snowflake AI Data Cloud when you come across a requirement for a field called “Is Platinum Customer.” Cloud Storage Upload Snowflake can easily upload files from cloud storage (AWS S3, Azure Storage, GCP Cloud Storage). This scenario is all too common to analytics engineers.

ETL 52

ETL Data Warehouse Data Governance Azure 52

DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. You will learn the following: Why unstructured data management is necessary for AI and ML projects. How to leverage Generative AI to manage unstructured data Benefits of applying proper unstructured data management processes to your AI/ML project.

Machine Learning 52

Machine Learning Machine Learning AI AI 52