Accountability, Best practices, Enterprise and Scripts

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

NOVEMBER 9, 2023

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts

Scripts Accountability Engineering Best practices

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning

AUGUST 14, 2023

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries. script to preprocess and index the provided demo data.

Enterprise

Enterprise Scripts Best practices Analytics

Build a custom UI for Amazon Q Business

AWS Machine Learning

JUNE 12, 2024

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account set up.

APIs

APIs Enterprise Accountability Feedback

Webinars

How to Optimize Call Monitoring: Automate QA and Elevate Customer Experience

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

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.

Best practices

Best practices Government Engineering Accountability

Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning

AWS Machine Learning

NOVEMBER 15, 2023

Prerequisites The following are prerequisites for completing the walkthrough in this post: An AWS account Familiarity with SageMaker concepts, such as an Estimator, training job, and HPO job Familiarity with the Amazon SageMaker Python SDK Python programming knowledge Implement the solution The full code is available in the GitHub repo.

Scripts

Scripts Best practices Accountability Engineering

Scaling Your Customer Success Team? 3 Mistakes to Avoid (And Their Solutions)

Totango

MARCH 15, 2022

This enables your staff to support more customers per staff member instead of tying you down to a 1-to-1 ratio between customers and account managers. In addition to being repeatable, procedures need to be effective, reflecting not only general best practices but also the specifics that apply to your product and customers.

Best practices

Best practices Enterprise Upselling Scripts

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

FEBRUARY 13, 2023

With the advancements in automation and configuring with increasing levels of abstraction to set up different environments with IaC tools, the AWS CDK is being widely adopted across various enterprises. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. Navigate to the AWS Cloud9 console.

Scripts

Scripts Best practices Transportation Construction

Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension

AWS Machine Learning

MAY 10, 2023

Migrating from interactive development on notebooks to batch jobs required you to copy code snippets from the notebook into a script, package the script with all its dependencies into a container, and schedule the container to run. In the following section, we show an example of using initialization scripts to install packages.

Scripts

Scripts Automotive Engineering Enterprise

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

AUGUST 1, 2017

If all these points mentioned above are practiced, the contact center will have a great track record with their clients and agents alike. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Bill Dettering.

Contact Center

Contact Center Call Center Average Handle Time Real estate

Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

AWS Machine Learning

JANUARY 17, 2023

This development approach can be used in combination with other common software engineering best practices such as automated code deployments, tests, and CI/CD pipelines. You have permissions to create and deploy AWS CDK and AWS CloudFormation resources as defined in the scripts outlined in the post. AWS CDK scripts.

Construction

Construction Engineering Automotive Scripts

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning

APRIL 7, 2023

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. Prerequisites To make this as easy as possible, ensure that your AWS account has Wavelength Zones enabled. Run the train_model.py

Telecommunications

Telecommunications Scripts Enterprise Engineering

Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

AWS Machine Learning

JULY 24, 2023

In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. Clone the Github repository The GitHub repo provides all the scripts necessary to deploy models using FastAPI on NeuronCores on AWS Inferentia instances. Next, we’ll push the image using the script push.sh.

Scripts

Scripts APIs Engineering Best practices

MLOps at the edge with Amazon SageMaker Edge Manager and AWS IoT Greengrass

AWS Machine Learning

AUGUST 8, 2022

An example of such an infrastructure consists of multiple AWS accounts that enable this collaboration and productionization of the ML models both in the cloud and to the edge devices. Data scientists evaluate the metrics of multiple model versions and request the promotion of the best model to production by triggering the CI/CD pipeline.

Management

Management Accountability Engineering Scripts

Customer Success Playbook Tips: Five Proven Tactics

Totango

SEPTEMBER 13, 2022

A customer success playbook is a set of best practices, key performance indicators, workflows, templates, and monitoring tools designed to ensure that clients achieve desired outcomes from using your product at each stage of their customer journey. Automate best practices that promote better customer experiences.

SaaS

SaaS Upselling Best practices Customer retention

21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations

Callminer

SEPTEMBER 14, 2020

Learn more about how speech analytics can benefit your call center operation by downloading our white paper, 10 Ways Speech Analytics Empowers the Entire Enterprise. They can assess how current scripts are performing and change them as needed. There would be no operations without customers. Jesse Silkoff.

Call Center

Call Center Analytics First call resolution Metrics

Zenarate AI Coach Transforms How Agents Learn and Perform Through Natural Language AI Simulation Training

CSM Magazine

JUNE 27, 2023

The investment follows 234% year-over-year enterprise client growth fueled by the rapid adoption of Zenarate’s solution which is transforming how agents learn and perform. Just like human-to-human role play, Zenarate coaches agents on tone, soft skills, and best and required practices throughout their role-play simulation.

Coaching

Coaching Telecommunications Healthcare First call resolution

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

MARCH 23, 2023

To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker. Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. resource("s3").Bucket

Scripts

Scripts APIs Government Analytics

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

SEPTEMBER 1, 2023

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently. Our approach applies to both open-source and proprietary models equally.

Engineering

Engineering Accountability Construction APIs

Choosing the Right Contact Center for Your Business: Key Factors to Consider

Call Experts

OCTOBER 5, 2023

Whether it’s a contact center for doctors or accountants , these customer service hubs are not merely cost centers but vital touchpoints for building and maintaining strong customer relationships. Tools and resources to help agents succeed include knowledge bases and scripts. Why are Call Centers Important?

Contact Center

Contact Center Call Center outsourcing contact center solutions

6 Ways to Securely Implement your AI-based Chatbot

Inbenta

SEPTEMBER 4, 2018

Inbenta has extensive experience deploying intelligent, conversational chatbots throughout large enterprises. After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. Understanding the risks.

Chatbots

Chatbots APIs Scripts Enterprise

B2B Customer Journey Touchpoints CS Teams Need To Plan For

Totango

AUGUST 23, 2022

This may involve activating an account, setting up a username and password, completing a profile, getting oriented within your navigational menu or learning to use your product’s basic features. At the end of the onboarding stage, the customer is ready to begin making practical use of their product. Expansion and Growth.

B2B

B2B Journey mapping SaaS Engineering

Customer Success in SaaS: A Complete Guide & Best Practices

Totango

JUNE 24, 2022

SaaS technology and supporting apps should be used to implement a data-driven approach to customer success, automate best practices, monitor results, and manage performance. To achieve performance goals, best practices should be defined and automated for each customer journey stage. Here are five keys to doing it right.

Best practices

Best practices SaaS Journey mapping B2C

What is Interactive Voice Response (IVR): All You Need to Know

JustCall

MARCH 23, 2023

A Common Misconception There’s a common misconception that IVR is meant only for big enterprises. For instance, your IVR prompt may read out: “ Press 1 to speak with a Support Agent; Press 2 to speak with a Sales Agent; Press 3 to get in touch with the Accounts Department.

Interactive Voice Response

Interactive Voice Response Real estate Call flow Scripts

Best practices to build generative AI applications on AWS

AWS Machine Learning

MARCH 14, 2024

When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost. By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples.

Best practices

Best practices Engineering Chatbots Enterprise

6 Ways to Securely Implement your AI-based Chatbot

Inbenta

SEPTEMBER 4, 2018

Inbenta has extensive experience deploying intelligent, conversational chatbots throughout large enterprises. After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. Understanding the risks. Secure your access to RESTful API services.

Chatbots

Chatbots APIs Scripts Enterprise

Choosing the Right Contact Center for Your Business: Key Factors to Consider

Call Experts

APRIL 8, 2024

Whether it’s a contact center for doctors or accountants , these customer service hubs are not merely cost centers but vital touchpoints for building and maintaining strong customer relationships. Tools and resources to help agents succeed include knowledge bases and scripts. Why are Call Centers Important?

Contact Center

Contact Center Call Center outsourcing contact center solutions

Call Center Agent Feedback: Tips & Best Practices for Providing Effective Agent Feedback

Callminer

JULY 23, 2019

To empower call center leaders to improve agent feedback, we’ve rounded up 25 tips and best practices for delivering effective agent feedback. Check out some more information about agent performance from our vault here: Expert Tips & Best Practices for Effective Agent Feedback.

Best practices

Best practices Feedback Call Center Coaching

Auto Dialer: Everything You Need to Know

JustCall

APRIL 12, 2023

Step 4: During the call, the agent can view a call script and take notes as needed. Sales Pitch Script: The agent must be able to view the sales pitch script and read it out during the phone calls within the auto dialer area. As you can imagine, this little feature empowers agents to save a lot of time and energy.

Scripts

Scripts Sales CRM Contact Center

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

SEPTEMBER 9, 2022

Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Each project maintained detailed documentation that outlined how each script was used to build the final model. AWS Secrets Manager to protect secrets needed to access your applications.

Engineering

Engineering Healthcare APIs Scripts

Small Business Call Center Software Solutions

Noble Systems

MARCH 19, 2021

The strategies that big enterprises use aren’t always the right fit for smaller companies. While many large enterprises still use these on-premise systems, SMB call centers can now take advantage of today’s cloud call center software for small businesses. The costs and office space were often prohibitive for small organizations.

call center software

call center software Call Center Interactive Voice Response Contact Center

Conversation Intelligence: The key to success in customer conversations

JustCall

MARCH 9, 2023

With CI technology, you can rest assured that all (100%) customer interactions are accounted for and recorded, leaving no room for error. AI Scoring In order to gain insights into their performance, each rep receives a scoring on how well they followed their call playbook and how well they adhered to best practices.

Coaching

Coaching Sales Chatbots Analytics

Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

AUGUST 1, 2023

These models can be fine-tuned and deployed to endpoints under your AWS account, giving you full ownership of model weights and script codes. When training for an enterprise use case, you’ll need to go through a number of data engineering tasks to prepare your own data to be ready for training.

Healthcare

Healthcare APIs Scripts Engineering

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

MARCH 6, 2023

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

Best practices

Best practices APIs Transportation Scripts

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. shell script to automate provisioning of the parameterized AWS CloudFormation template, bedrock-customer-resources.yml , to deploy the following resources: An Amazon DynamoDB table populated with synthetic claims data. create-customer-resources.sh

APIs

APIs Scripts Enterprise Management

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud.

APIs

APIs Enterprise Scripts Accountability

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container.

Scripts

Scripts APIs Engineering Construction

SMS vs. MMS: Which is the Better Choice?

JustCall

APRIL 18, 2023

Intrusive Enterprise Communications In the absence of an explicit opt-in/opt-out procedure, the personal nature of SMS messaging may make business communications appear intrusive. Difficulties in SMS List Growth Growing an SMS list can be challenging, particularly for enterprises that are just starting out.

voip

voip Marketing Feedback Enterprise

Power Dialer Software: All You Need to Know

JustCall

DECEMBER 23, 2022

Here is a step-by-step lowdown: Step 1: Create a contact list either by adding numbers from saved contacts within your account or by building a list from scratch. Whether you are a solopreneur or a large-scale enterprise, a power dialer benefits one and all. Barge and speak directly with high-value customers and/or accounts.

CRM

CRM Sales Coaching Personalization

How to Make an Online Store: 20 Easiest Platforms

JivoChat

JUNE 11, 2023

Optimize the Website Another important step of how to make an online store is optimizing the website according to SEO best practices. Analyze these elements, and implement the best practices on your website. Take good product photos with high resolution, which shows the product as close as possible to reality.

B2B

B2B Sales Analytics Marketing

Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts

Scripts Construction APIs Healthcare

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

MAY 30, 2024

CBRE’s data environment, with 39 billion data points from over 300 sources, combined with a suite of enterprise-grade technology can deploy a range of AI solutions to enable individual productivity all the way to broadscale transformation. The environment was developed over a period of multiple development sprints.

Real estate

Real estate APIs Metrics Construction

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. To view the details of these jobs in different accounts, you need to log in to each account, find the corresponding jobs, and look into the status.

Scripts

Scripts Accountability Metrics APIs

Part 2: 10 Criteria for Choosing the Best Messaging Vendor

Quiq

APRIL 6, 2022

For starters, a platform could prioritize customer messages and decide which your agents should engage with next—ideally accounting for customer engagement and SLAs. Just like call scripts for agents, messaging templates ensure faster response times and help agents speak with a unified brand voice. Do they offer a chatbot?

Chatbots

Chatbots Customer Support Benchmark Customer Service

Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference

AWS Machine Learning

SEPTEMBER 9, 2022

It allows you to efficiently serve large models by adapting to the best parallelism strategies for multi-GPU inference, accounting for both inference latency and cost. Although easier to set up, it’s usually not the best practice to utilize GPU’s compute power. He received his Ph.D.

Engineering

Engineering Metrics APIs Management

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

Webinars

Trending Sources

Build a custom UI for Amazon Q Business

Webinars

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning

Scaling Your Customer Success Team? 3 Mistakes to Avoid (And Their Solutions)

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

MLOps at the edge with Amazon SageMaker Edge Manager and AWS IoT Greengrass

Customer Success Playbook Tips: Five Proven Tactics

21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations

Zenarate AI Coach Transforms How Agents Learn and Perform Through Natural Language AI Simulation Training

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

Choosing the Right Contact Center for Your Business: Key Factors to Consider

6 Ways to Securely Implement your AI-based Chatbot

B2B Customer Journey Touchpoints CS Teams Need To Plan For

Customer Success in SaaS: A Complete Guide & Best Practices

What is Interactive Voice Response (IVR): All You Need to Know

Best practices to build generative AI applications on AWS

6 Ways to Securely Implement your AI-based Chatbot

Choosing the Right Contact Center for Your Business: Key Factors to Consider

Call Center Agent Feedback: Tips & Best Practices for Providing Effective Agent Feedback

Auto Dialer: Everything You Need to Know

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

Small Business Call Center Software Solutions

Conversation Intelligence: The key to success in customer conversations

Exploring summarization options for Healthcare with Amazon SageMaker

Training large language models on Amazon SageMaker: Best practices

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

SMS vs. MMS: Which is the Better Choice?

Power Dialer Software: All You Need to Know

How to Make an Online Store: 20 Easiest Platforms

Create a document lake using large-scale text extraction from documents with Amazon Textract

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch

Part 2: 10 Criteria for Choosing the Best Messaging Vendor

Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference

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