Analytics, APIs, Best practices and Scripts

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Business intelligence (BI) and analytics.

Analytics

Analytics Engineering APIs Metrics

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

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted. The following figure shows both versions of these patterns.

Scripts

Scripts APIs Government Analytics

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

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Use Amazon SageMaker Data Wrangler in Amazon SageMaker Studio with a default lifecycle configuration

AWS Machine Learning

JULY 5, 2022

Lifecycle configurations (LCCs) are shell scripts to automate customization for your Studio environments, such as installing JupyterLab extensions, preloading datasets, and setting up source code repositories. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below).

Scripts

Scripts Engineering APIs Consulting

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

AWS Machine Learning

AUGUST 14, 2023

You can serialize pipelines to YAML files , expose them via a REST API , and scale them flexibly with your workloads, making it easy to move your application from a prototype stage to production. script to preprocess and index the provided demo data. script to fit your needs if you chose to use your own data.

Enterprise

Enterprise Scripts Best practices Analytics

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. But could it revolutionize the contact center industry?

Contact Center

Contact Center B2C Chatbots B2B

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering

Engineering Accountability Construction APIs

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

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

AWS Machine Learning

NOVEMBER 14, 2022

We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts

Scripts APIs Best practices Engineering

What is Call Center Compliance?

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. Table of Contents What is Call Center Compliance and Why is it Important?

Call Center

Call Center Telemarketing Healthcare Government

How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

JULY 25, 2018

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

Analytics

Analytics Government APIs Metrics

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data. He’s passionate about applying machine learning to the area of analytics.

APIs

APIs Chatbots Engineering Best practices

Power recommendations and search using an IMDb knowledge graph – Part 3

AWS Machine Learning

JANUARY 6, 2023

OpenSearch Service is a fully managed service that makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. The S3 path to the movie node file. from your terminal.

Entertainment

Entertainment APIs Scripts Analytics

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

AWS Machine Learning

JUNE 27, 2023

That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in. They needed a cloud platform and a strategic partner with proven expertise in delivering production-ready AI/ML solutions, to quickly bring EarthSnap to the market.

Engineering

Engineering APIs Scripts Entertainment

What is Omnichannel Customer Engagement & How to Improve It

NobelBiz

APRIL 16, 2024

By leveraging automation and data analytics, businesses can gather valuable insights into customer behavior, preferences, and past interactions across multiple touchpoints. Granular Insights and Analytics Omnichannel engagement provides businesses with invaluable insights into customer behavior and preferences through granular data analytics.

Contact Center

Contact Center CRM Call Center Best practices

Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library

AWS Machine Learning

JUNE 12, 2023

In this post, we present a guide and best practices on training large language models (LLMs) using the Amazon SageMaker distributed model parallel library to reduce training time and cost. Next, we can move the input tensors to the GPU used by the current process using the torch.cuda.set_device API followed by the.to() API call.

Best practices

Best practices APIs Engineering Analytics

Best Conversation Intelligence Software 2022

SmartKarrot

JANUARY 6, 2022

It identifies calls that need immediate attention by finding out things like customer objection, mention of a competitor, compliance gap or script deviation, etc. The salient features of CallHippo Coach that make it one of the best choices includes –. In-depth Analytics – analyses agents’ performance and finds ways to improve them.

Coaching

Coaching SaaS Benchmark Feedback

How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning

APRIL 12, 2023

The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline. This is quite different from our earlier method where we had all the parameters hard coded within the scripts and all the processes were inextricably linked.

Scripts

Scripts APIs Metrics Best practices

How to Successfully Implement Customer Journey Analytics

Pointillist

JULY 25, 2018

By Swati Sahai Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics 1.

Analytics

Analytics Metrics Government Journey mapping

Conversation Intelligence: The key to success in customer conversations

JustCall

MARCH 9, 2023

Best Practices for Improving Conversation Intelligence From designing corporate-wide objectives to making and monitoring significant improvements, conversation intelligence can greatly impact your business operations. Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API).

Coaching

Coaching Sales Chatbots Analytics

The Challenges of Maintaining and Upgrading Call Center Infrastructure

NobelBiz

JUNE 26, 2023

These systems help route calls to the appropriate agents, track customer interactions, manage customer data, and provide analytics for monitoring and improving performance. They do not support advanced features such as call recording, analytics, or seamless integration with customer relationship management (CRM) tools.

Call Center

Call Center Interactive Voice Response call center software CRM

Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker

AWS Machine Learning

MAY 4, 2023

The Neuron runtime consists of kernel driver and C/C++ libraries, which provide APIs to access AWS Inferentia and Trainium Neuron devices. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts. He’s passionate about applying Machine Learning to the area of Analytics.

APIs

APIs Scripts Engineering Chatbots

The Top 6 Trends CX Leaders Need to Pay Attention to in 2023

Netomi

JANUARY 5, 2023

Authentic intelligence in 2023 is at the heart of an advanced CX solution, using inputs from systems and APIs, historical data, customer profiles, and cutting-edge conversational design. This means there is little room for the customer to go off-script. Conversations powered by authentic intelligence will feel more organic.

Chatbots

Chatbots Scripts Airlines Customer Support

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

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team.

Engineering

Engineering Healthcare APIs Scripts

8 Best Gong Alternatives in 2023 to Improve Sales and Leads

JustCall

APRIL 12, 2023

Look for an alternative that offers APIs to integrate it with other tools you use. Look for a tool that provides the necessary features for your sales process, such as call recording, analytics, and integrations with other tools. The best Gong alternative is a customizable, scalable solution that fits businesses of all sizes.

Sales

Sales Coaching CRM Contact center software

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

AWS Machine Learning

SEPTEMBER 7, 2023

In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Best practices for SageMaker Pipelines In this section, we discuss some best practices that can be followed while designing workflows using SageMaker Pipelines.

Best practices

Best practices Scripts Construction APIs

Unlock the potential of generative AI in industrial operations

AWS Machine Learning

MARCH 19, 2024

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. The user can use the Amazon Recognition DetectText API to extract text data from these images. setup.sh. (a a challenge-level question).

Construction

Construction Scripts APIs Enterprise

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

AWS Machine Learning

SEPTEMBER 9, 2022

It can serve the commonly seen model types, such the PyTorch TorchScript model, TensorFlow SavedModel bundle, Apache MXNet model, ONNX model, TensorRT model, and Python script model. The default value job_queue_size is controlled by an environment variable, and you can only configure the per-model setting with the registerModel API.

Engineering

Engineering Metrics APIs Management

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning

SEPTEMBER 12, 2023

MLOps – Because the SageMaker endpoint is private and can’t be reached by services outside of the VPC, an AWS Lambda function and Amazon API Gateway public endpoint are required to communicate with CRM. The function then relays the classification back to CRM through the API Gateway public endpoint. Use Version 2.x

Management

Management APIs CRM Metrics

Transform Your Business with a Virtual Call Center Solution

JustCall

APRIL 12, 2023

You can leverage the following features of this software to get the most out of your call center: Phone numbers across 70+ countries Custom workflows Detailed analytics Device-agnostic Call and agent monitoring, etc. It has also been ranked #1 for ease of use by G2 and is trusted by over 6,000 brands.

virtual call center

virtual call center call center solutions Call Center call center software

Customer Contact Central

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

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

Webinars

Trending Sources

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

Webinars

Use Amazon SageMaker Data Wrangler in Amazon SageMaker Studio with a default lifecycle configuration

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

The ChatGPT Revolution

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

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

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

What is Call Center Compliance?

How to Successfully Implement Customer Journey Analytics – Part 1

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

Power recommendations and search using an IMDb knowledge graph – Part 3

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

What is Omnichannel Customer Engagement & How to Improve It

Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library

Best Conversation Intelligence Software 2022

How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

How to Successfully Implement Customer Journey Analytics

Conversation Intelligence: The key to success in customer conversations

The Challenges of Maintaining and Upgrading Call Center Infrastructure

Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker

The Top 6 Trends CX Leaders Need to Pay Attention to in 2023

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

8 Best Gong Alternatives in 2023 to Improve Sales and Leads

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

Unlock the potential of generative AI in industrial operations

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

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

Transform Your Business with a Virtual Call Center Solution

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