AWS Machine Learning

NOVEMBER 22, 2023

We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. Use OpenSearch Serverless with the vector engine feature to search for the top K most relevant document indexes in the embedding space. Retrieve the corresponding documents using the identified indexes.

Engineering 129

Engineering Chatbots Benchmark APIs 129

ShepHyken

MARCH 12, 2021

Consider implementing result-oriented tactics like pay-per-click and account-based marketing for quick, effective and sustainable outcomes. Rohan is skilled in Search Engine Optimization (SEO), Pay Per Click (PPC), Email Marketing, Conversion Optimization and Social Media Marketing. . Accelerating connectivity through technology.

B2B 394

B2B Journey mapping B2C Telecommunications 394

AWS Machine Learning

NOVEMBER 22, 2024

The diagram shows several accounts and personas as part of the overall infrastructure. Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. The following diagram gives a high-level illustration of the use case.

Government 103

Government Banking Accountability Engineering 103

AWS Machine Learning

OCTOBER 20, 2023

This framework addresses challenges by providing prescriptive guidance through a modular framework approach extending an AWS Control Tower multi-account AWS environment and the approach discussed in the post Setting up secure, well-governed machine learning environments on AWS.

Government 134

Government Engineering Accountability Enterprise 134

AWS Machine Learning

APRIL 18, 2024

Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts. Additionally, it offers beginner cloud engineers initial script drafts as standard templates to build upon, facilitating their IaC learning journey.

Scripts 135

Scripts Best practices Engineering Accountability 135

ShepHyken

APRIL 28, 2024

For context, these are the customers who continue to buy from you over and over again, and should account for the majority of your total sales. Retail brands know that brick-and-mortar experiences alone just won’t cut it, nor will insufficient digital experiences that fail to account for the evolving customer experience.

Customer Service 193

Customer Service Advertising B2C Big data 193

Beyond Philosophy

OCTOBER 12, 2023

For example, sales organizations tend to be more optimistic and overpromise than the engineering side of the house. That’s because the engineering department typically gets left to deal with the fallout from poor planning. The salespeople overpromised, and the engineers went in and had to clear up the mess to deliver.

Healthcare 221

Healthcare Engineering Banking Accountability 221

AWS Machine Learning

AUGUST 8, 2024

Users typically reach out to the engineering support channel when they have questions about data that is deeply embedded in the data lake or if they can’t access it using various queries. Having an AI assistant can reduce the engineering time spent in responding to these queries and provide answers more quickly.

Engineering 130

Engineering Accountability Feedback Construction 130

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

Government 108

Government Management APIs Accountability 108

AWS Machine Learning

OCTOBER 31, 2023

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. In particular, they are routinely used to store information related to customer accounts.

Healthcare 134

Healthcare APIs Engineering Accountability 134

AWS Machine Learning

JUNE 11, 2024

For example, for mixed AI workloads, the AI inference is part of the search engine service with real-time latency requirements. During this journey, we collaborated with our AWS technical account manager and the Graviton software engineering teams. Technical Account Manager at AWS with 15 years of experience.

Engineering 117

Engineering Benchmark Accountability Best practices 117

AWS Machine Learning

SEPTEMBER 3, 2024

Seamless integration with SageMaker – As a built-in feature of the SageMaker platform, the EMR Serverless integration provides a unified and intuitive experience for data scientists and engineers. By unlocking the potential of your data, this powerful integration drives tangible business results.

Big data 125

Big data Engineering Accountability Real estate 125

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. In the low-latency case, you need to account for the time it takes to generate the embedding vectors.

Best practices 139

Best practices Engineering SaaS Accountability 139

AWS Machine Learning

MAY 15, 2024

Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v). Under the hood, this tool uses artifacts generated by SageMaker (step vii) which is then deployed into the production AWS account (step viii), using SageMaker SDKs. Burak is still a research affiliate in MIT.

Advertising 135

Advertising APIs Engineering Benchmark 135

AWS Machine Learning

AUGUST 6, 2024

Customization includes varied techniques such as Prompt Engineering, Retrieval Augmented Generation (RAG), and fine-tuning and continued pre-training. Prompt Engineering involves carefully crafting prompts to get a desired response from LLMs. Amazon Bedrock supports multiple prompt engineering techniques. Learn more here.

Engineering 140

Engineering Construction Chatbots Entertainment 140

CCNG

MARCH 6, 2024

Analytical AI is the fuel that drives the AI engine for contact centers. AI can also anticipate a customer’s next ask or step based on historical data at the account level as well as the overall global level. As humans, we have a predetermined idea of what to expect whereas AI just analyzes the data for what it is and what it is not.

Contact Center 195

Contact Center Calibration Analytics Interactive Voice Response 195

AWS Machine Learning

DECEMBER 7, 2023

In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. SARIMA extends ARIMA by incorporating additional parameters to account for seasonality in the time series. The Amazon Forecast models were eventually selected for the algorithmic modeling segment.

Management 133

Management Engineering Analytics Construction 133

AWS Machine Learning

JULY 2, 2024

An Amazon OpenSearch Serverless vector engine to store enterprise data as vectors to perform semantic search. Amazon Bedrock retrieves relevant data from the vector store (using the vector engine for OpenSearch Serverless ) using hybrid search. Create an S3 bucket in your account. The following diagram illustrates this workflow.

APIs 138

APIs Scripts Enterprise Engineering 138

AWS Machine Learning

AUGUST 26, 2024

Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations). Personalized content will be generated at every step, and collaboration within account teams will be seamless with a complete, up-to-date view of the customer.

Sales 133

Sales Accountability Feedback Metrics 133

Callminer

OCTOBER 11, 2018

Smitha obtained her license as CPA in 2007 from the California Board of Accountancy. With more than 15 years of experience in business, finance and accounting, Smitha is also responsible for implementing financial controls and processes. Reuben Kats @grab_results. One of the most undervalued call center metrics is…”.

Call Center 561

Call Center Metrics Contact Center Wait times 561

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 131

Healthcare Big data Engineering Accountability 131

AWS Machine Learning

MAY 7, 2024

Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Engineering 130

Engineering Chatbots Technical Support Best practices 130

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.

Personalization 139

Personalization Engineering Construction Transportation 139

AWS Machine Learning

DECEMBER 11, 2024

Weve seen our sales teams use this capability to do things like consolidate meeting notes from multiple team members, analyze business reports, and develop account strategies. This will enable teams across all roles to ask detailed questions about their customer and partner accounts, territories, leads and contacts, and sales pipeline.

Sales 107

Sales Accountability CRM APIs 107

AWS Machine Learning

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. For this post, we use the Anthropic Claude 3 Sonnet model. Choose Connect.

APIs 130

APIs Accountability CRM Engineering 130

AWS Machine Learning

FEBRUARY 12, 2024

This dual-repository approach allows for greater modularity, and enables science and engineering teams to iterate independently on ML code and ML pipeline components. The job will be run as a SageMaker Processing job within the AWS account and it integrates directly with the SageMaker pipelines.

Engineering 138

Engineering Wait times Metrics Accountability 138

AWS Machine Learning

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

Best practices 136

Best practices Engineering Chatbots Enterprise 136

AWS Machine Learning

AUGUST 1, 2024

By demonstrating the process of deploying fine-tuned models, we aim to empower data scientists, ML engineers, and application developers to harness the full potential of FMs while addressing unique application requirements. Amazon Bedrock service starts an import job in an AWS operated deployment account.

APIs 132

APIs Scripts Real estate Accountability 132

AWS Machine Learning

MARCH 4, 2024

On the Model access page, review the EULA and enable the FMs you’d like in your account. The engineering team experienced the immediate ease of getting started with Amazon Bedrock. The engineering team experienced the immediate ease of getting started with Amazon Bedrock. Programmatically using the Amazon Bedrock API and SDKs.

Feedback 132

Feedback APIs Engineering Surveys 132

AWS Machine Learning

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. Prompt engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.

Healthcare 136

Healthcare Engineering APIs Benchmark 136

AWS Machine Learning

DECEMBER 20, 2023

Amazon Security Lake is a purpose-built service that automatically centralizes an organization’s security data from cloud and on-premises sources into a purpose-built data lake stored in your AWS account. Process Amazon Security Lake log data using a SageMaker Processing job to engineer features.

Engineering 136

Engineering Accountability Analytics Construction 136

AWS Machine Learning

JULY 8, 2024

TWCo data scientists and ML engineers took advantage of automation, detailed experiment tracking, integrated training, and deployment pipelines to help scale MLOps effectively. AWS CloudTrail – Monitors and records account activity across AWS infrastructure. This is just one of many ways AWS enables builders to deliver great solutions.

Engineering 127

Engineering Enterprise Government APIs 127

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. An Amazon DataZone domain and an associated Amazon DataZone project configured in your AWS account.

Government 128

Government Banking Engineering Enterprise 128

AWS Machine Learning

OCTOBER 3, 2024

The proposed baseline architecture can be logically divided into four building blocks which that are sequentially deployed into the provided AWS accounts, as illustrated in the following diagram below. Developers can use the AWS Cloud Development Kit (AWS CDK) to customize the solution to align with the company’s specific account setup.

APIs 98

APIs Construction Engineering Accountability 98

AWS Machine Learning

MAY 2, 2024

Clean up Make sure you clean up any unused resources you created in your account while following the steps outlined in this post. Pranesh Anubhav is a Senior Software Engineer for Amazon Personalize. Tianmin Liu is a senior software engineer working for Amazon personalize. Outside of work, Dan is an avid skier and hiker.

Personalization 128

Personalization Engineering Accountability Management 128

AWS Machine Learning

APRIL 11, 2024

For example, during the claims adjudication process, the accounts payable team receives the invoice, whereas the claims department manages the contract or policy documents. Prerequisites To run the notebook, you need an AWS account with appropriate AWS Identity and Access Management (IAM) permissions to call Amazon Bedrock.

APIs 133

APIs Banking Enterprise Engineering 133

AWS Machine Learning

JUNE 4, 2024

Prerequisites This solution requires the following prerequisites: An AWS account. If you don’t have an account, you can sign up for one. Data privacy and network security – With Amazon Bedrock, you are in control of your data, and all your inputs and customizations remain private to your AWS account.

Scripts 136

Scripts Accountability Engineering Best practices 136