Totango

DECEMBER 16, 2020

Out-of-the-box templates automate the process of defining measurable customer goals, establishing key performance indicators, promoting best practices and tracking performance. Another of the most important new trends in customer success is the application of big data analytics methods powered by artificial intelligence.

Journey mapping 71

Journey mapping Best practices Accountability Big data 71

Totango

SEPTEMBER 1, 2022

The traditional fixed quarterly review is being replaced by real-time performance monitoring and artificial intelligence data analysis, enabling you to stay engaged with clients between scheduled reviews. Here we’ll show you how to update your SaaS QBR strategy to keep up with the latest technology and best practices.

SaaS 98

SaaS Journey mapping Upselling Best practices 98

AWS Machine Learning

JUNE 30, 2022

To deploy the solution via the console, launch the following AWS CloudFormation template in your account by choosing Launch Stack. Alternatively, if you deployed the solution using SAM, you need to authenticate to the AWS account the solution was deployed and run sam delete. Conclusion.

APIs 80

APIs Enterprise Big data Accountability 80

AWS Machine Learning

OCTOBER 27, 2022

To achieve these operational benefits, they implemented a number of best practice processes, including a fast data iteration and testing cycle, and parallel testing to find optimal data combinations. Her current focus is on business transformation in retail and CPG through data and ML to fuel tremendous enterprise growth.

APIs 96

APIs Best practices Metrics Government 96

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. In its better cases, however, the analysis provides feedback on the source of the problem, such as a confusing eCommerce experience or unclear published instructions.

Call Center 182

Call Center Analytics First call resolution Metrics 182

ChurnZero

OCTOBER 22, 2020

Integration with voice of the customer and account-based marketing platforms will help with these goals. The role of Customer Success in keeping SaaS companies alive is too substantial to wing it by relying on a homegrown solution that accounts for a fraction of an outsourced product’s functionality. Not to mention the maintenance.

CRM 59

CRM Customer retention Technology Best practices 59

AWS Machine Learning

APRIL 24, 2023

We’re grateful for the support provided by the AWS account team, solution architecture team, and ML experts from the SSO and service team.” – LC Lee, founder and CEO of Pro360. With 8 years of experience in the IT industry, Ray is dedicated to building modern solutions on the cloud, especially in NoSQL, big data, and machine learning.

APIs 61

APIs Customer Experience Feedback Chatbots 61

AWS Machine Learning

OCTOBER 20, 2023

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. This framework is useful for the following customers: Large enterprise customers that have many LOBs or departments interested in using ML.

Government 96

Government Engineering Accountability Enterprise 96

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. With some customization, you can implement this same encryption process for different model types and frameworks, independent of the training data.

Scripts 91

Scripts APIs Government Analytics 91

AWS Machine Learning

FEBRUARY 28, 2024

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. To learn more about text-to-SQL best practices and design patterns, see Generating value from enterprise data: Best practices for Text2SQL and generative AI.

Engineering 106

Engineering Best practices Analytics Enterprise 106

Fonolo

NOVEMBER 17, 2020

While cost reduction is typically the main factor when investing in an enterprise solution – it’s no longer the sole motivator for moving to Contact Center as a Service (CCaaS). More and more, customers simply want to solve inquires on their own – especially for simple questions like “what’s the balance on my account.”

Contact Center 176

Contact Center Gamification Call Center Average Handle Time 176

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 86

Government Accountability Enterprise Engineering 86

AWS Machine Learning

NOVEMBER 24, 2023

In contrast, the data science and analytics teams already using AWS directly for experimentation needed to also take care of building and operating their AWS infrastructure while ensuring compliance with BMW Group’s internal policies, local laws, and regulations. A data scientist team orders a new JuMa workspace in BMW’s Catalog.

Engineering 69

Engineering Analytics Government Self service 69

SmartKarrot

APRIL 17, 2023

Measuring the ROI of AI chatbots requires a holistic approach that takes into account both tangible and intangible benefits. Compliance with Regulations: Ensure that your AI chatbot is compliant with relevant data protection regulations such as GDPR, CCPA, HIPAA, etc. Like what you are reading?

Chatbots 10

Chatbots Scripts Enterprise Personalization 10

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 52

Government Accountability Enterprise Engineering 52

AWS Machine Learning

JULY 19, 2023

We discuss the solution architecture and best practices for managing model card versions, and walk through how to set up, operationalize, and govern the model card integration with the model version in the model registry. Model cards are part of the best practices for responsible and transparent ML development.

Government 79

Government Best practices Metrics Enterprise 79

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The central model registry could optionally be placed in a shared services account as well.

Scripts 72

Scripts APIs Enterprise Accountability 72

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. How to use MLflow as a centralized repository in a multi-account setup. Prerequisites Before deploying the solution, make sure you have access to an AWS account with admin permissions.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

DECEMBER 1, 2022

They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. He is passionate about building governance products in Machine Learning for enterprise customers. Conclusion.

Management 72

Management Government Enterprise APIs 72

AWS Machine Learning

MAY 10, 2023

Prerequisites The following prerequisites are needed to implement this solution: An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Through this capability, ML becomes more accessible to business teams so they can accelerate data-driven decision-making. Choose Next: Tags.

Accountability 74

Accountability Enterprise Big data Management 74

AWS Machine Learning

FEBRUARY 29, 2024

Prerequisites You should have the following prerequisites before deploying this solution: An AWS account SageMaker Studio A SageMaker role with Amazon S3 read/write and AWS KMS encrypt/decrypt permissions An S3 bucket for storing data, scripts, and model artifacts Optionally, the AWS Command Line Interface (AWS CLI) Python3 (Python 3.7

Scripts 87

Scripts Engineering Metrics Best practices 87

AWS Machine Learning

APRIL 19, 2023

Solutions need high-throughput updates and low-latency retrieval of the most recent feature values in milliseconds, something most data scientists aren’t prepared to deliver. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

Engineering 76

Engineering Analytics APIs Enterprise 76

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. Prior to Kubeflow adoption, ensuring that data was stored and accessed in a specific way involved regular verification across multiple, diverse workflows.

Engineering 74

Engineering Healthcare APIs Scripts 74

AWS Machine Learning

JANUARY 26, 2023

To help you efficiently tune your required hyperparameters and determine the best-performing model, this post will discuss how Best Egg used SageMaker hyperparameter tuning with warm pools and achieved a three-fold improvement in model training time. ML insights facilitate decision-making.

Finance 72

Finance Engineering Big data Banking 72