AWS Machine Learning

OCTOBER 24, 2024

Large language models (LLMs) are very large deep-learning models that are pre-trained on vast amounts of data. Retrieval Augmented Generation (RAG) is the process of optimizing the output of an LLM, so it references an authoritative knowledge base outside of its training data sources before generating a response.

Engineering 118

Engineering Scripts Big data SaaS 118

AWS Machine Learning

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. What is federated learning?

Scripts 84

Scripts Accountability Transportation Benchmark 84

AWS Machine Learning

SEPTEMBER 9, 2022

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 81

Analytics Engineering Metrics APIs 81

AWS Machine Learning

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. Run the script init-script.bash : chmod u+x init-script.bash./init-script.bash

APIs 126

APIs Scripts Accountability Construction 126

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices.

Scripts 119

Scripts Engineering Metrics Best practices 119

Fonolo

DECEMBER 8, 2023

We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. For example, big data makes things like hyper-personalized customer service possible, but it also puts enormous stress on data security.

Contact Center 81

Contact Center Big data Chatbots Scripts 81

TechSee

AUGUST 7, 2024

Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences. Personalization: Using AI and machine learning, CXA systems can analyze customer data to provide personalized experiences.

Customer Experience 124

Customer Experience Customer Service Interactive Voice Response Chatbots 124

AWS Machine Learning

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

Scripts 125

Scripts Accountability Engineering Best practices 125

AWS Machine Learning

DECEMBER 21, 2022

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. The offline store is an append-only store and can be used to store and access historical feature data. Table formats provide a way to abstract data files as a table.

Scripts 86

Scripts Engineering APIs Big data 86

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 85

Scripts APIs Enterprise Accountability 85

AWS Machine Learning

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. install-scripts chmod +x install-history-server.sh./install-history-server.sh script and attach it to an existing SageMaker Studio domain.

Scripts 79

Scripts Engineering Big data Management 79

AWS Machine Learning

MARCH 15, 2024

With increased access to data, ML has the potential to provide unparalleled business insights and opportunities. To address this issue, federated learning (FL) is a decentralized and collaborative ML training technique that offers data privacy while maintaining accuracy and fidelity.

Healthcare 121

Healthcare Big data Engineering Accountability 121

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 121

Scripts APIs Government Analytics 121

AWS Machine Learning

JULY 15, 2024

We use the custom terminology dictionary to compile frequently used terms within video transcription scripts. Max Goff is a data scientist/data engineer with over 30 years of software development experience. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Here’s an example. She received her Ph.D.

Engineering 122

Engineering Entertainment Big data APIs 122

AWS Machine Learning

DECEMBER 12, 2023

After downloading the latest Neuron NeMo package, use the provided neox and pythia pre-training and fine-tuning scripts with optimized hyper-parameters and execute the following for a four node training. Dr. Huan works on AI and Data Science. Each trn1.32xl has 16 accelerators with two workers per accelerator.

Scripts 124

Scripts Engineering Big data Management 124

AWS Machine Learning

JUNE 19, 2024

Whether you’re seeking to generate content, analyze data, or explore innovative ideas, this integration empowers you to do it all without leaving the familiar Slack environment. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs 128

APIs Engineering Accountability Scripts 128

AWS Machine Learning

DECEMBER 18, 2023

By harnessing the transformative potential of MongoDB’s native time series data capabilities and integrating it with the power of Amazon SageMaker Canvas , organizations can overcome these challenges and unlock new levels of agility.

Finance 127

Finance APIs Analytics Scripts 127

AWS Machine Learning

MARCH 7, 2023

Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity. Alternatively to using notebook instances or shell scripts, you can use the Studio Image Build CLI to work with Docker in Studio.

Management 87

Management Scripts Government Engineering 87

AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. Model training and tuning. Model evaluation.

Scripts 85

Scripts Engineering Management APIs 85

AWS Machine Learning

FEBRUARY 13, 2024

Who needs a cross-account feature store Organizations need to securely share features across teams to build accurate ML models, while preventing unauthorized access to sensitive data. Their task is to construct and oversee efficient data pipelines. This provides an audit trail required for governance and compliance.

Accountability 130

Accountability Government Engineering Scripts 130

Callminer

SEPTEMBER 14, 2020

They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. Business analysts must own the call tracking systems and actively leverage data to tune the call center policies and procedures. Andrew Tillery. MAPCommInc.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead. For certain SKUs, we augmented data to encompass a broader range of environmental conditions.

Engineering 126

Engineering Gamification Scripts Big data 126

AWS Machine Learning

NOVEMBER 8, 2023

Amazon CodeWhisperer currently supports Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL, and Scala. times more energy efficient than the median of surveyed US enterprise data centers and up to 5 times more energy efficient than the average European enterprise data center.

Analytics 124

Analytics Enterprise Scripts Big data 124

AWS Machine Learning

JULY 25, 2022

With an expanding network of users, Trumid’s AI and Data Strategy team partnered with the AWS Machine Learning Solutions Lab. Real-world data is complex and interconnected, and often contains network structures. Traditional ML algorithms require data to be organized as tables or sequences. Benefits of graph machine learning.

Scripts 86

Scripts Engineering Analytics APIs 86

AWS Machine Learning

AUGUST 26, 2022

Refer to notebook examples for SageMaker algorithms – SageMaker provides a suite of built-in algorithms to help data scientists and ML practitioners get started with training and deploying ML models quickly. The input directory should look like the following code if the training data contains two images.

APIs 90

APIs Scripts Enterprise Big data 90

AWS Machine Learning

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. The model is then A/B tested along with the use case in pre-production with production-like data settings and approved for deployment to the next stage.

Government 92

Government Management APIs Accountability 92

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. You can also find the script on the GitHub repo. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 131

APIs Enterprise Accountability Feedback 131

AWS Machine Learning

NOVEMBER 7, 2022

Refer to notebook examples for SageMaker algorithms – SageMaker provides a suite of built-in algorithms to help data scientists and ML practitioners get started with training and deploying ML models quickly. We first fetch any additional packages, as well as scripts to handle training and inference for the selected task.

APIs 105

APIs Scripts Enterprise Big data 105

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

APIs 135

APIs Healthcare Scripts Enterprise 135

AWS Machine Learning

NOVEMBER 7, 2022

Refer to notebook examples for SageMaker algorithms – SageMaker provides a suite of built-in algorithms to help data scientists and ML practitioners get started with training and deploying ML models quickly. We first fetch any additional packages, as well as scripts to handle training and inference for the selected task.

APIs 100

APIs Scripts Enterprise Big data 100

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. The script performs the required API calls using the AWS Command Line Interface (AWS CLI) and the previously configured parameters and profiles.

APIs 82

APIs Accountability Scripts Enterprise 82

Balto

AUGUST 8, 2024

Then, with the shift towards creating digital experiences in the 2000s, contact centers started implementing simple chatbots that use predefined scripts to help guide the customer and resolve their issues. Gen AI models are capable of producing new information from the vast sets of data it’s trained on.

Call Center 52

Call Center Interactive Voice Response Coaching Chatbots 52

AWS Machine Learning

SEPTEMBER 30, 2022

Security is a big-data problem. We showcase how SophosAI uses Amazon SageMaker distributed training with terabytes of data to train a powerful lightweight XGBoost (Extreme Gradient Boosting) model. SageMaker automatically splits the data across nodes, aggregates the results across peer nodes, and generates a single model.

Scripts 92

Scripts Engineering Metrics Big data 92

Calabrio

NOVEMBER 25, 2020

The one-size-fit-all script no longer cuts it. Technology is also creating new opportunities for contact centers to not only better serve customers but also gain deep insights through Big Data. With analytics, contact centers can leverage their data to see trends, understand preferences and even predict future requirements.

Contact Center 122

Contact Center Self service Analytics Banking 122

SmartAction

NOVEMBER 4, 2020

Here is a call into emergency roadside assistance prior to the CX design work from Hollywood script writers. You need big data scientists deploying big data tools like Splunk and Power BI who then work closely with customer insight managers and customer success managers to extract actionable insights.

Big data 54

Big data Interactive Voice Response Virtual Agent Scripts 54

AWS Machine Learning

JULY 21, 2022

As data scientists iterate through that process, they need a reliable method to easily track experiments to understand how each model version was built and how it performed. When data scientists approach a new ML problem, they have to answer many different questions, from data availability to how they will measure model performance.

Metrics 90

Metrics Scripts Enterprise Telecommunications 90

AWS Machine Learning

SEPTEMBER 9, 2022

In the artificial intelligence (AI) space, athenahealth uses data science and machine learning (ML) to accelerate business processes and provide recommendations, predictions, and insights across multiple services. Each project maintained detailed documentation that outlined how each script was used to build the final model.

Engineering 88

Engineering Healthcare APIs Scripts 88