AWS Machine Learning

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

Innovation 135

Innovation Travel Financial Exercises 135

Fox Metrics

AUGUST 14, 2020

That’s why in addition to our blog, we have rounded up the top 14 analytics websites that provide excellent insights, opinions, and latest information that can help you better leverage analytics in your company. FoxMetrics Blog 5. Moz Blog – Analytics 10. The Forrester Research Blog 11. Ocamm Razor’s blog.

Analytics 93

Analytics Data Social Media Analysis 93

Comm100

DECEMBER 12, 2023

This blog will delve into the top four customer service trends that are expected to take center stage in 2024. This blog is written for you, the experienced customer service professionals, who are the driving force behind these changes that will improve CX and internal efficiencies. Now, it’s about being one step ahead.

Trends 204

Trends Innovation Customer Service Omni-Channel 204

ShepHyken

AUGUST 10, 2018

This week we feature an article by Jarrin Howard who writes about how predictive analytics can enhance customer relations. – Shep Hyken. These are common examples of sites using predictive analytics catering to individual customer preferences. With the rise of machine learning, predictive analytics is becoming the status quo.

Analytics 67

Analytics Social Media Travel Banking 67

AWS Machine Learning

MARCH 6, 2024

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. This includes large language models (LLMs) pretrained on huge datasets, which can then be adapted for specific tasks, like text summarization or chatbots.

Training 92

Training Examples Data How To 92

NICE inContact

JUNE 26, 2018

In part one of the blog series, we looked at a framework for building a business case to invest in customer experience technologies. This blog will focus on true financial value of moving from a premise or hosted to a cloud native platform. This cost along with professional services is completely eliminated in cloud native models.

Financial 194

Financial Customer Experience Contact Center Software 194

AWS Machine Learning

SEPTEMBER 7, 2023

Finding optimal control policies is a complex task because physical systems, such as chemical reactors and wind turbines, are often hard to model and because drift in process dynamics can cause performance to deteriorate over time. The algorithm trained in this blog post is called “ Conservative Q Learning ” (CQL).

Data 93

Data Policies Training System 93

AWS Machine Learning

DECEMBER 19, 2022

Deploying high-quality, trained machine learning (ML) models to perform either batch or real-time inference is a critical piece of bringing value to customers. That’s why pre-trained ML models like the ones provided in the PyTorch Model Zoo are so helpful. For a list of available models, see the PyTorch Model Zoo documentation.

Effort Score 75

Effort Score Automotive Sports Training 75

CloudCherry

FEBRUARY 26, 2019

In this blog, we will discuss the key highlights of this report. Distributed Model is the most popular Analytics organizational Structure. This is evident as the “distributed model” organizational structure sees an increase among the analytics teams. Let’s dive right in and find out what the report has in store for us.

Analytics 256

Analytics Report Analysis Study 256

Comm100

DECEMBER 18, 2023

This blog post delves into this question, offering a straightforward explanation of Generative AI and how it really works. This technology is part of a broader category known as generative models, and it’s increasingly being seen as a game-changer in various fields, including customer service.

Chatbots 130

Chatbots Training Customer Satisfaction Technology 130

Optimove

MARCH 18, 2024

Leveraging AI and predictive models can help operators identify and act on at-risk players. The big picture: Operators can use tech to prioritize responsible gambling measures, to ensure player welfare, avoid unnecessary fines, sidestep regulatory risks, safeguard their reputations, and address staffing concerns.

eBook 52

eBook Loyalty Tips Measurement 52

AWS Machine Learning

AUGUST 21, 2023

Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. Explainability of these predictions is required in order for clinicians to make the correct choices on a patient-by-patient basis.

Hospitality 76

Hospitality Healthcare Training Report 76

AWS Machine Learning

MARCH 3, 2023

Companies across industries apply ML to use cases such as predicting customer churn, demand forecasting, credit scoring, predicting late shipments, and improving manufacturing quality. Training machine learning models SageMaker Canvas offers two methods to train ML models without writing code: Quick build and Standard build.

Training 75

Training Banking Analytics Metrics 75

AWS Machine Learning

OCTOBER 2, 2023

We show you how to use AWS IoT Greengrass to manage model inference at the edge and how to automate the process using AWS Step Functions and other AWS services. In Part 2 , we showed how to automate the labeling and model training parts of the pipeline. If you haven’t read it yet, we recommend checking out Part 1.

Training 89

Training Software System Effort Score 89

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. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process.

Data 109

Data Management Effort Score Training 109

ShepHyken

MAY 5, 2017

This week on our Friends on Friday guest blog post my colleague, Dan Rood, writes about the precious commodity of time and why we must use the latest technologies to help customers save time and have amazing customer experiences. Insight technologies that deliver personalization and predictive analytics. Shep Hyken.

Self Service 80

Self Service Omni-Channel Social Media Retail 80

VDS

JANUARY 10, 2024

A key aspect of CCaaS is its flexible pricing models, which are vital for optimizing both operational scalability and cost-effectiveness. The Two Main CCaaS Pricing Models: Named vs. Concurrent Licensing Named Licensing: Each user gets a specific license, ideal for consistent access needs.

Contact Center 52

Contact Center Interaction Communication Customer Service 52

Optimove

NOVEMBER 9, 2023

Embrace Predictive Modeling to Foster Loyalty and Grow Revenue Leveraging predictive model attributes makes it easy to craft personalized experiences that resonate with individual players, fostering loyalty and revenue growth simultaneously.

Tips 72

Tips Advertising CRM Innovation 72

Kustomer

JUNE 27, 2022

In this blog, we’ll dive into trends in customer experience expectations, how to apply a hybrid CX strategy to your customer service operations, and the power of delivering a highly personalized customer journey. Applying a Hybrid Customer Experience Model. Customer Experience Expectations.

Consumers 104

Consumers Customer Experience Social Media Chatbots 104

ShepHyken

MAY 25, 2018

Modeling churn risk isn’t optional – it’s become an absolute requirement. Retention-focused companies are constantly monitoring churn risk with propensity models, then triggering service or retention outreach automatically, when it’s needed, with timely solutions, recommendations, offers, and personalized incentives.

Customer relationships 74

Customer relationships Call Center Customer Retention Advertising 74

AWS Machine Learning

MAY 23, 2023

This is a guest blog post co-written with Vik Pant and Kyle Bassett from PwC. Thinking of ML in terms of pipelines that generate and maintain models rather than models by themselves helps build versatile and resilient prediction systems that are better able to withstand meaningful changes in relevant data over time.

Case Study 74

Case Study Government Training Return on Investment 74

AWS Machine Learning

SEPTEMBER 22, 2023

Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks. a written email).

Training 96

Training Policies e-support Data 96

AWS Machine Learning

AUGUST 11, 2022

Many techniques have been used to detect fraudsters—rule-based filters, anomaly detection, and machine learning (ML) models, to name a few. But such relationships could help predict whether a user is a fraudster. Predicting fraudsters in real time is important. Training a GNN model using SageMaker.

Training 83

Training e-support Data Examples 83

AWS Machine Learning

FEBRUARY 23, 2023

Modular training – With a modular pipeline design, the system is split into individual functional units (for example, perception, localization, prediction, and planning). End-to-end training – This approach involves training a DNN model that takes raw sensor data as input and outputs the driving command.

System 90

System Automotive Training Video 90

COPC

JUNE 9, 2023

This blog article discusses the importance of employing multiple types of AI, implementing effective controls and guardrails, and adapting specific roles within the CX organization. Just as with custom data used for training AI models, the data gathered for operational purposes requires understanding, representation and completeness.

Industry 116

Industry Customer Experience Analytics Training 116

AWS Machine Learning

JULY 25, 2023

It is all backed by very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Amazon SageMaker JumpStart is an ML hub offering algorithms, models, and ML solutions. It also provides the ability to deploy these models in your own Virtual Private Cloud (VPC).

Connections 79

Connections Resources Financial Groups 79

AWS Machine Learning

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

Effort Score 85

Effort Score Data Training Video 85

AWS Machine Learning

OCTOBER 10, 2023

Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart. Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. The OpenAI Whisper model uses the huggingface-pytorch-inference container.

Training 90

Training Comparison Data Conference 90

Beyond Philosophy

JULY 13, 2023

Here’s the thing: AI models are outstanding at predicting customer behavior. First, it might help us identify better data sources to include, especially if we’re doing some of the higher-order modeling. Behavioral science could direct the structure of the models used to write the code.

How To 143

How To Competitive Advantage System Social Media 143

AWS Machine Learning

APRIL 19, 2023

In this post, the Sportradar team discusses the challenges they encountered and the solutions they created to build their model inference platform using the DJL. Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. We recently developed four more new models.

Sports 75

Sports Training Effort Score Multi-Channel 75

Optimove

MAY 31, 2023

This, of course, is highly impractical, and this is where Customer Modeling, also known as Customer Behavior Modeling, comes into the picture. Customer behavior models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time.

Technology 52

Technology Analysis Groups Customers 52

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Fine-tune the pre-trained model on a new custom dataset.

Metrics 71

Metrics Training Data Healthcare 71

Totango

JANUARY 22, 2024

In fact, 63% of CAB members said their top 2024 prediction was that businesses would put more strategic and bottom-line emphasis on expansion versus acquisition to drive revenue growth. Half of them predict that the excitement and potential for AI usage within CS teams and application in CS software will continue to build.

Customer Success 95

Customer Success Consulting Customers Leadership 95

SurveySparrow

JULY 4, 2023

In this blog, we’ll delve into the latest trends and strategies that are reshaping the marketing landscape. Predictive Content Recommendations AI-powered personalization goes beyond simple segmentation. The training set is used to train the models, while the testing/validation set is used to evaluate their performance. #5

Trends 52

Trends Chatbots Strategy Marketing 52

AWS Machine Learning

DECEMBER 29, 2022

Organizations implementing a more automated, reliable, and cost-effective Operational Technology (OT) strategy have led the way, recognizing the benefits of ML in predicting assembly line failures to avoid costly and unplanned downtime. The last decade of the Industry 4.0 Solution overview.

Training 72

Training Analysis Resources Data 72

AWS Machine Learning

OCTOBER 10, 2022

In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. Custom fraud detection ML models in Amazon Fraud Detector. After this, you train your ML model in Amazon Fraud Detector in just a few steps.

Effort Score 70

Effort Score Training Data Examples 70

Optimove

NOVEMBER 7, 2023

From building innovative Predictive Models back in 2012, to the recent launch of our AI Copy Assistant, and everything in between – AI has always been at the core of Optimove. With OptiGenie, your customer data is more powerful than ever before: Anticipate your customers’ next action with AI Predictive Modelling.

Marketing 83

Marketing Multi-Channel Groups Customer Journeys 83