AWS Machine Learning

MARCH 11, 2024

In this post, we show you how VistaPrint uses a combination of Amazon Personalize , Twilio Segment , and auxiliary AWS services and partner solutions to better understand their customers’ needs and provide personalized product recommendations. Transform the data to create Amazon Personalize training data.

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Personalization Engineering APIs Advertising 91

AWS Machine Learning

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

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Analytics Engineering Government Best practices 101

AWS Machine Learning

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. It allows for better control and efficient resource management.

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AWS Machine Learning

DECEMBER 12, 2023

Thousands of engineers are being onboarded to contribute to this transition. By 2025, Vodafone plans to have 50% of its global workforce actively involved in software development, with an objective to deliver 60% of digital services in-house. Why AWS DeepRacer?

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AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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AWS Machine Learning

JANUARY 12, 2023

This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. Overview of solution.

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AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

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AWS Machine Learning

MARCH 4, 2024

Vision capabilities – Claude 3 models have been trained to understand structured and unstructured data across different formats, not just language, but also images, charts, diagrams, and more. This lets businesses build generative AI applications integrating diverse multimedia sources and solving truly cross-domain problems.

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AWS Machine Learning

FEBRUARY 13, 2024

Who needs a cross-account feature store Organizations need to securely share features across teams to build accurate ML models, while preventing unauthorized access to sensitive data. Their task is to construct and oversee efficient data pipelines. ML engineers refine these foundational features, tailoring them for mature ML workflows.

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AWS Machine Learning

MARCH 13, 2024

To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk appetite, and stress testing. Amazon S3 Access Points simplify managing and securing data access at scale for applications using shared datasets on Amazon S3.

Accountability 87

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Connect

APRIL 18, 2024

The technology can also boost agent productivity with automation, real-time guidance, and performance coaching and enhance operational efficiency by reducing costs, optimising resources, and enabling data-driven decisions. However, Gen AI is not a plug-and-play solution.

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AWS Machine Learning

APRIL 8, 2024

When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. Pre-training data is sourced from publicly available data and concludes as of September 2022, and fine-tuning data concludes July 2023.

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AWS Machine Learning

APRIL 4, 2024

Recommenders must quickly learn preferences from limited data to provide value. Solution overview Amazon Personalize is a great fit to power a news recommendation engine because of its ability to provide real-time and batch personalized recommendations at scale. Changing interests – Readers’ interests can evolve over time.

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AWS Machine Learning

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead. For certain SKUs, we augmented data to encompass a broader range of environmental conditions.

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AWS Machine Learning

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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AWS Machine Learning

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS).

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Engineering APIs Scripts Automotive 85

AWS Machine Learning

FEBRUARY 26, 2024

By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies. In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda.

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AWS Machine Learning

OCTOBER 24, 2023

This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and Nicholas Zellerhoff Associate Systems Architect at T-Mobile US, Inc. Census Bureau data showed that approximately 22 percent of the US population spoke a language other than English.

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AWS Machine Learning

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. This platform provides capabilities ranging from experimentation, data annotation, training, model deployments, and reusable templates.

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AWS Machine Learning

DECEMBER 18, 2023

International standards are an important tool to help organizations translate domestic regulatory requirements into compliance mechanisms, including engineering practices, that are largely globally interoperable. About the authors Swami Sivasubramanian is Vice President of Data and Machine Learning at AWS.

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Government Engineering Analytics Technology 125

ConvergeOne

APRIL 12, 2022

However, the reason that so many AI projects fail is not due to the AI processes themselves, but rather the lack of strong data governance, collaboration, and problem definition. Jumping into an AI project without a strong foundation can be a bit like buying a powerful car engine without any way to use it.

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AWS Machine Learning

SEPTEMBER 1, 2023

Specifically, we briefly introduce MLOps principles and focus on the main differentiators compared to FMOps and LLMOps regarding processes, people, model selection and evaluation, data privacy, and model deployment. These data owners are focused on providing access to their data to multiple business units or teams.

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AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. An ML model registered by a data scientist needs an approver to review and approve before it is used for an inference pipeline and in the next environment level (test, UAT, or production).

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AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. A feature store maintains user profile data.

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AWS Machine Learning

MARCH 27, 2024

Custom datasets can include highly proprietary data that is consistent with your brand guidelines or specific styles such as a previous campaign. To address these use cases and generate fully personalized images, you can fine-tune Amazon Titan Image Generator with your own data using custom models for Amazon Bedrock.

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APIs Accountability Engineering Entertainment 84

AWS Machine Learning

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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AWS Machine Learning

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process.

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AWS Machine Learning

SEPTEMBER 27, 2023

MDaudit provides a cloud-based billing compliance and revenue integrity software as a service (SaaS) platform to more than 70,000 healthcare providers and 1,500 healthcare facilities, ensuring healthcare customers maintain regulatory compliance and retain revenue. says Nisheet Goenka, VP of Engineering at MDaudit.

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AWS Machine Learning

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability.

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Engineering Education Accountability Technology 68

AWS Machine Learning

APRIL 9, 2024

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. Choose Test knowledge base.

APIs 112

APIs Engineering Healthcare Education 112

AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 72

Engineering APIs Big data Accountability 72

AWS Machine Learning

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried.

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Healthcare Engineering Construction Consulting 95

AWS Machine Learning

JUNE 16, 2023

At SambaSafety , their mission is to promote safer communities by reducing risk through data insights. SambaSafety’s team of data scientists has developed complex and propriety modeling solutions designed to accurately quantify this risk profile. The challenges faced by this team were not related to data science.

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VirtualPBX

JANUARY 23, 2024

Guest Blog If you deal with large volumes of data – like call centers tend to – you may find yourself a target of cyber criminals and your cybersecurity may be at risk. Cybersecurity in a Call Center In order to understand how to train your staff, you need to recognise some of the most common threats: Data breaches.

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AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Our original plan was to also host the models in Python and utilize gRPC to communicate with another service, which will use the Java gRPC client to send the request. However, a few issues came with this solution.

Engineering 74

Engineering APIs Scripts Education 74

AWS Machine Learning

MAY 23, 2023

Thinking of ML in terms of pipelines that generate and maintain models rather than models by themselves helps build versatile and resilient prediction systems that are better able to withstand meaningful changes in relevant data over time. Many organizations start their journey into the world of ML with a model-centric viewpoint.

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