AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability 114

Accountability Government Engineering Scripts 114

AWS Machine Learning

MARCH 8, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It also provides common ML algorithms that are optimized to run efficiently against extremely large data in a distributed environment.

Scripts 114

Scripts Accountability Enterprise Management 114

ShepHyken

JUNE 28, 2019

Dimension Data research says that 56 percent of businesses expect transactions via telephone to fall over the next two years. But there remains an emotional intelligence divide between robots and humans as there is yet to be an AI able to effectively quantify human feelings and moods into unique data points or profiles.

Contact Center 296

Contact Center Self service Banking Airlines 296

AWS Machine Learning

NOVEMBER 22, 2024

This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.

Government 80

Government Banking Accountability Engineering 80

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.

Management 119

Management APIs Engineering Government 119

Callminer

SEPTEMBER 23, 2020

“A good outbound sales script contains a strong connecting statement. ” – Grace Sweeney, 5 Outbound Sales Scripts You Can Adjust on the Fly , Copper; Twitter: @copperinc. ” – Brad Beutler, 6 Examples of Using Employee Email as a New Account Based Marketing Channel , Terminus; Twitter: @Terminus.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

AWS Machine Learning

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Compliance tags – These may be needed to adhere to regulatory requirements, such as tagging with classification levels or whether data is encrypted or not.

Government 89

Government Best practices Accountability APIs 89

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 82

Accountability Best practices Scripts Engineering 82

AWS Machine Learning

MAY 30, 2024

The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale. Although CBRE provides customers their curated best-in-class dashboards, CBRE wanted to provide a solution for their customers to quickly make custom queries of their data using only natural language prompts.

Real estate 114

Real estate APIs Metrics Construction 114

AWS Machine Learning

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. A Business or Enterprise Google Workspace account with access to Google Chat.

APIs 108

APIs Scripts Accountability Construction 108

CCNG

AUGUST 28, 2024

These technologies work in tandem to help contact centers automate various tasks, such as call scheduling, call routing, answering FAQs, integrating Customer Relationship Management (CRM) systems, gathering customer data in real-time, and more. This leads to reliable operations and consistent customer experience management.

Contact Center 195

Contact Center Interactive Voice Response Customer Experience CCNG 195

AWS Machine Learning

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

Scripts 109

Scripts Accountability Best practices Engineering 109

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

APIs 79

APIs Engineering Analytics Scripts 79

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts 103

Scripts APIs Enterprise Accountability 103

Callminer

JANUARY 18, 2021

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. Minimise language barriers with better hires.

Best practices 226

Best practices Call Center Contact Center Scripts 226

AWS Machine Learning

MARCH 15, 2023

We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container. We assume the involvement of two personas: a data scientist and an MLOps engineer.

Scripts 124

Scripts APIs Engineering Construction 124

AWS Machine Learning

AUGUST 5, 2024

Building and deploying these components can be complex and error-prone, especially when dealing with large-scale data and models. The solution simplifies the setup process, allowing you to quickly deploy and start querying your data using the selected FM. After the script is complete, note the S3 URL of the main-template-out.yml.

Scripts 111

Scripts Accountability Education Feedback 111

AWS Machine Learning

SEPTEMBER 7, 2023

Offline reinforcement learning is a control strategy that allows industrial companies to build control policies entirely from historical data without the need for an explicit process model. In offline reinforcement learning, one can train a policy on historical data before deploying it into production.

Metrics 104

Metrics Engineering Scripts Accountability 104

Callminer

SEPTEMBER 14, 2020

They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. Business analysts must own the call tracking systems and actively leverage data to tune the call center policies and procedures. Andrew Tillery. MAPCommInc.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

JUNE 17, 2024

Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth and customer service, and many more engagement use cases in a flexible, programmatic way. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB.

Scripts 106

Scripts Engineering Metrics Big data 106

AWS Machine Learning

JUNE 4, 2024

As customers seek to incorporate their corpus of knowledge into their generative artificial intelligence (AI) applications, or to build domain-specific models, their data science teams often want to conduct A/B testing and have repeatable experiments. An S3 bucket stores training, validation, and output data.

Scripts 120

Scripts Accountability Engineering Best practices 120

AWS Machine Learning

JANUARY 6, 2025

In this post, we walk you through the process to build an automated mechanism using Amazon SageMaker to process your log data, run training iterations over it to obtain the best-performing anomaly detection model, and register it with the Amazon SageMaker Model Registry for your customers to use it.

Scripts 89

Scripts Metrics Construction Accountability 89

AWS Machine Learning

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. What is federated learning?

Scripts 71

Scripts Accountability Transportation Benchmark 71

AWS Machine Learning

OCTOBER 19, 2023

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII).

Government 96

Government Engineering Enterprise Scripts 96

AWS Machine Learning

JULY 2, 2024

With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. Refer to the Amazon Bedrock FAQs for further details. installed Node.js

APIs 116

APIs Scripts Enterprise Engineering 116

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices.

Scripts 101

Scripts Engineering Metrics Best practices 101

AWS Machine Learning

JULY 11, 2024

Retrieval Augmented Generation (RAG) is a popular paradigm that provides additional knowledge to large language models (LLMs) from an external source of data that wasn’t present in their training corpus. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account set up.

Scripts 110

Scripts Accountability APIs Engineering 110

AWS Machine Learning

SEPTEMBER 20, 2023

Or an organization may be operating in a Region where a primary cloud provider is not available, and in order to meet the data sovereignty or data residency requirements, they can use a secondary cloud provider. Prerequisites You should have the following prerequisites: An AWS account. image and Python 3.0

Scripts 109

Scripts Engineering Accountability Enterprise 109

AWS Machine Learning

FEBRUARY 14, 2024

Labeling mistakes are important to identify and prevent because model performance for pose estimation models is heavily influenced by labeled data quality and data volume. Importance of high-quality data and reducing labeling errors High-quality data is fundamental for training robust and reliable pose estimation models.

Scripts 112

Scripts Engineering Entertainment Healthcare 112

AWS Machine Learning

DECEMBER 22, 2023

The agent can assist users with finding their account information, completing a loan application, or answering natural language questions while also citing sources for the provided answers. RAG allows you to enhance your agent’s ability to generate more accurate and contextually relevant responses using your own data.

Scripts 108

Scripts Chatbots Accountability Multi-channel support 108

Callminer

NOVEMBER 25, 2019

Fortunately, with a number of useful tools and techniques, team leaders can effect meaningful change based on observable and trackable data. Streamline your agents’ call scripts for better first call close results. ” – How to Capture & Analyze QA Data to Improve Call Center Outcomes , Scorebuddy; Twitter: @score_buddy.

Best practices 182

Best practices Call Center Metrics Average Handle Time 182

AWS Machine Learning

APRIL 17, 2023

“Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. This can be a tedious task involving data collection, discovery, profiling, cleansing, structuring, transforming, enriching, validating, and securely storing the data.

Engineering 85

Engineering Scripts Analytics Healthcare 85

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 117

Scripts APIs Engineering industry standards 117

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 107

APIs Scripts Real estate Accountability 107

AWS Machine Learning

FEBRUARY 8, 2024

These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge sources loaded with your data.

APIs 127

APIs Scripts Enterprise Management 127

TechSee

DECEMBER 28, 2020

For account updates, help with installation, or billing activities, press 1.” Likewise, agents were empowered to go above and beyond their standard scripts, using their newfound technical knowledge and skills to assist their customers. “You’ve reached Service Enterprises. Your call is important to us.

Technical Support 186

Technical Support Customer Service Enterprise Scripts 186