APIs, Best practices and Exercises - Customer Contact Central

Overcoming the Great Resignation with Lessons Learned from CX Best Practices

CSM Magazine

DECEMBER 10, 2021

As a CX consultant with decades of experience in contact center solutions, Avtex has a unique viewpoint to the changing landscape of both CX and EX best practices. Take the time to execute an employee journey mapping exercise that can help you uncover the personas found throughout your organization.

Best practices

Best practices Employee engagement Journey mapping Consulting

14 Best Java Courses

JivoChat

JUNE 20, 2022

It provides you with hands-on exercises and puzzles to help you not only understand the theoretical concepts but to put them into practice as well. . You will understand how to use Java best practices, advanced Java concepts, and acquire important skills to be a web or Android developer, for instance. Data and time API.

APIs

APIs Benchmark Best practices Construction

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

Webinars

Manual Call Reviews? There's a Better Way!

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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. You should conduct “pre-mortem” exercises to pre-emptively identify potential sources of failure so that they can be removed or mitigated.

Best practices

Best practices Metrics Feedback Enterprise

Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

AWS Machine Learning

MARCH 21, 2023

Therefore, organizations have adopted technology best practices, including microservice architecture, MLOps, DevOps, and more, to improve delivery time, reduce defects, and increase employee productivity. This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow.

Scripts

Scripts Banking APIs Best practices

The ChatGPT Revolution

The Northridge Group

MAY 2, 2023

To get a handle on ChatGPT, its implications, benefits, challenges, and best practices for contact centers we had a virtual conversation recently with Nathan Hart, Senior Director of Technology, Solutioning & Data Analytics, The Northridge Group. and most recently (at presstime) GPT-4. But ChatGPT can do much more than just reply.

Contact Center

Contact Center B2C Chatbots B2B

Step 3 of 5: AI Self-Service Without Compromise – AI Without Data is Like a Race Car Without Fuel

SmartAction

MAY 6, 2019

This is the third of a five-part blog series that outlines the Five Best Practices for AI Self-Service Without Compromise. Best Practice #3: AI Without Data is Like a Race Car Without Fuel. Read Part 1 and Part 2 first! The more pieces of information that are provided to virtual customer assistant, the better!

Self service

Self service Virtual Agent Best practices Contact Center

It’s Never Too Late to Build Your Digital Customer Experience Strategy. Here’s How to Take Steps Forward Today.

SharpenCX

MARCH 2, 2021

The amount of data, strategies, “best practices,” and software options out there give you so many choices they paralyze you. A helpful exercise is to put together a series of customer personas. Do my systems have APIs so our teams can build custom integrations if we need to? But it can also be so overwhelming.

Customer Experience

Customer Experience Coaching Call Center Contact Center

Step 3 of 5: AI Self-Service Without Compromise – AI Without Data is Like a Race Car Without Fuel

SmartAction

MAY 6, 2019

This is the third of a five-part blog series that outlines the Five Best Practices for AI Self-Service Without Compromise. Best Practice #3: AI Without Data is Like a Race Car Without Fuel. Read Part 1 and Part 2 first! The more pieces of information that are provided to virtual customer assistant, the better!

Self service

Self service Virtual Agent Best practices Contact Center

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. 15K available FM reference Step 1.

Engineering

Engineering Accountability Construction APIs

10 Best Web Development Courses

JivoChat

JUNE 8, 2022

You will learn how to build websites and web apps, the latest technologies including JavaScript, React and Node, and professional web developer best practices. Test your knowledge and hone your skills with numerous coding exercises. Integrate React with advanced browser features, even geolocation API’s! Bootstrap 4.

APIs

APIs SaaS Engineering Best practices

Introducing AWS AI Service Cards: A new resource to enhance transparency and advance responsible AI

AWS Machine Learning

NOVEMBER 30, 2022

AI Service Cards are a form of responsible AI documentation that provide customers with a single place to find information on the intended use cases and limitations, responsible AI design choices, and deployment and performance optimization best practices for our AI services. AI Service Cards: A new resource—and an ongoing commitment.

Government

Government Best practices APIs Technology

Optimize your machine learning deployments with auto scaling on Amazon SageMaker

AWS Machine Learning

FEBRUARY 8, 2023

Although you can integrate the model directly into an application, the approach that works well for production-grade applications is to deploy the model behind an endpoint and then invoke the endpoint via a RESTful API call to obtain the inference. The following diagram illustrates the application and scaling setup in SageMaker.

Benchmark

Benchmark Metrics APIs Engineering

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

MARCH 28, 2024

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. Instead, adhere to the security best practices in AWS Identity and Access Management (IAM), and create an administrative user and group. We use an ml.t3.medium

Telecommunications

Telecommunications Healthcare Transportation Accountability

How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

JULY 25, 2018

Has a journey mapping exercise ever been conducted? Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Do they track customer journeys? Build a Team. Governance.

Analytics

Analytics Government APIs Metrics

How to Successfully Implement Customer Journey Analytics

Pointillist

JULY 25, 2018

Has a journey mapping exercise ever been conducted? Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Do they track customer journeys? This process typically takes 1-2 days.

Analytics

Analytics Metrics Government Journey mapping

Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1

AWS Machine Learning

NOVEMBER 30, 2023

In addition, customers are looking for solutions that help them deploy a best-practice inferencing architecture without needing to build everything from scratch. SageMaker Inference is a fully managed ML hosting service. It supports building generative AI applications while meeting regulatory standards like FedRAMP.

Chatbots

Chatbots SaaS Engineering APIs

Customer Contact Central

Overcoming the Great Resignation with Lessons Learned from CX Best Practices

14 Best Java Courses

Webinars

Trending Sources

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

Webinars

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

The ChatGPT Revolution

Step 3 of 5: AI Self-Service Without Compromise – AI Without Data is Like a Race Car Without Fuel

It’s Never Too Late to Build Your Digital Customer Experience Strategy. Here’s How to Take Steps Forward Today.

Step 3 of 5: AI Self-Service Without Compromise – AI Without Data is Like a Race Car Without Fuel

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

10 Best Web Development Courses

Introducing AWS AI Service Cards: A new resource to enhance transparency and advance responsible AI

Optimize your machine learning deployments with auto scaling on Amazon SageMaker

Advanced RAG patterns on Amazon SageMaker

How to Successfully Implement Customer Journey Analytics – Part 1

How to Successfully Implement Customer Journey Analytics

Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1

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