Fonolo

SEPTEMBER 28, 2022

The value is in the timing—customers will give the most accurate accounts of their service experiences shortly after they’ve happened. You might have a carefully crafted questionnaire or script for your after-call survey. Have you collected enough data? Fonolo’s Portal could help with real-time insights and data-rich reporting.

Scripts 138

Scripts Surveys Interactive Voice Response Call Center 138

Beyond Philosophy

OCTOBER 28, 2014

Let’s say your IT system requires getting your email address for every customer to access the details of the account. When you are frustrated, stressed, and upset, how do you feel about entering your account number followed by the pound sign? In many cases, they will also use a Call Center script. Let me give you an example.

Customer Experience 300

Customer Experience Customer centricity Scripts Customer emotions 300

AWS Machine Learning

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. These five webpages act as a knowledge base (source data) to limit the RAG models response.

Benchmark 103

Benchmark APIs Enterprise Scripts 103

AWS Machine Learning

JANUARY 31, 2025

The power of FMs lies in their ability to learn robust and generalizable data embeddings that can be effectively transferred and fine-tuned for a wide variety of downstream tasks, ranging from automated disease detection and tissue characterization to quantitative biomarker analysis and pathological subtyping.

Healthcare 103

Healthcare Scripts Benchmark SaaS 103

AWS Machine Learning

NOVEMBER 13, 2024

script to automatically copy the cdk configuration parameters to a configuration file by running the following command, still in the /cdk folder: /scripts/postdeploy.sh Drawing from her background in data science, Arian assists customers in effectively using generative AI and other AI technologies.

APIs 130

APIs Scripts Accountability Entertainment 130

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage any infrastructure. One consistent pain point of fine-tuning is the lack of data to effectively customize these models.

APIs 76

APIs Management Benchmark Scripts 76

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 129

Accountability Government Engineering Scripts 129

Quality Contact Solutions

JULY 26, 2022

After writing over one thousand call center scripts, we know that there isn’t a single stand-alone ingredient we’d consider the ‘secret sauce’ for creating the perfect script. Instead, scripts are purposeful and serve as a guide to accomplish the objective of the call. No, it doesn’t.

Scripts 98

Scripts Call Center Telemarketing Best practices 98

AWS Machine Learning

NOVEMBER 15, 2024

Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. This can be useful when you have requirements for sensitive data handling and user privacy.

APIs 111

APIs Government Best practices Metrics 111

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. Amazon Cognito complements these defenses by enabling user authentication and data synchronization.

APIs 109

APIs Scripts Best practices Management 109

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 133

Management APIs Engineering Government 133

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 289

Contact Center Self service Banking Airlines 289

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 97

Accountability Best practices Scripts Engineering 97

AWS Machine Learning

FEBRUARY 12, 2025

Medusa-1 achieves an inference speedup of around two times without sacrificing model quality, with the exact improvement varying based on model size and data used. For details, refer to Creating an AWS account. Make sure you have sufficient capacity for this instance in your AWS account by requesting a quota increase if required.

Scripts 78

Scripts Metrics Engineering Accountability 78

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 129

Real estate APIs Metrics Construction 129

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

JULY 5, 2022

If you use the default lifecycle configuration for your domain or user profile in Amazon SageMaker Studio and use Amazon SageMaker Data Wrangler for data preparation, then this post is for you. Data Wrangler supports standard data types such as CSV, JSON, ORC, and Parquet. For more information, see Jupyter Kernel Gateway.

Scripts 96

Scripts Engineering APIs Consulting 96

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 96

APIs Engineering Analytics Scripts 96

AWS Machine Learning

DECEMBER 7, 2022

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. We walk through the following steps: Use SageMaker script mode to bring our own model on top of an AWS-managed container. Solution overview. Find the metric in CloudWatch Logs.

Scripts 91

Scripts Metrics Healthcare Accountability 91

AWS Machine Learning

FEBRUARY 25, 2025

To build a generative AI -based conversational application integrated with relevant data sources, an enterprise needs to invest time, money, and people. First, you would need build connectors to the data sources. For a full list of supported data source connectors, see Amazon Q Business connectors.

Enterprise 93

Enterprise Engineering APIs Accountability 93

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 122

Scripts APIs Enterprise Accountability 122

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 91

Scripts Analytics Accountability Engineering 91

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 90

Scripts Accountability Transportation Benchmark 90

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 122

Scripts Accountability Best practices Engineering 122

AWS Machine Learning

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

Analytics 90

Analytics Healthcare Scripts Accountability 90

AWS Machine Learning

JULY 14, 2022

Data scientists often work towards understanding the effects of various data preprocessing and feature engineering strategies in combination with different model architectures and hyperparameters. Data Version Control. These placeholders point to the original data, which is decoupled from source code management.

Scripts 99

Scripts Engineering Metrics APIs 99

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 122

Metrics Engineering Scripts Accountability 122

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 89

APIs Accountability Scripts Enterprise 89

CSM Magazine

MARCH 3, 2025

Whether you are managing multiple accounts, scraping data for market research, or simply trying to maintain your privacy online, choosing the right proxy service is crucial. This demonstrates their commitment to being there when needed mostwhether you’re managing key campaigns or ensuring data scraping scripts run smoothly.

Customer Support 52

Customer Support Advertising Scripts Accountability 52

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 141

Scripts APIs Engineering Construction 141

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 126

Scripts Accountability Education Feedback 126

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 115

Government Engineering Enterprise Scripts 115

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 122

Scripts Engineering Metrics Big data 122

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 135

APIs Scripts Enterprise Engineering 135

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 128

Scripts Accountability APIs Engineering 128

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 100

Engineering Scripts Analytics Healthcare 100

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 127

Scripts Engineering Accountability Enterprise 127