AWS Machine Learning

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. We implemented an AWS multi-account strategy, standing up Amazon SageMaker Studio in a build account using a network-isolated Amazon VPC. Analytic data is stored in Amazon Redshift.

Engineering 72

Engineering Finance Accountability Analytics 72

AWS Machine Learning

MARCH 4, 2025

Customizable Uses prompt engineering , which enables customization and iterative refinement of the prompts used to drive the large language model (LLM), allowing for refining and continuous enhancement of the assessment process. It is highly recommended that you use a separate AWS account and setup AWS Budget to monitor the costs.

Best practices 97

Best practices Enterprise Engineering Strategic Value 97

AWS Machine Learning

MARCH 19, 2025

Behind this achievement lies a story of rigorous engineering for safety and reliabilityessential in healthcare where stakes are extraordinarily high. Prior to his current role, he was Vice President, Relational Database Engines where he led Amazon Aurora, Redshift, and DSQL.

Healthcare 118

Healthcare Enterprise APIs Transportation 118

AWS Machine Learning

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

Analytics 130

Analytics Engineering Government Best practices 130

AWS Machine Learning

JANUARY 7, 2025

The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. The project also requires that the AWS account is bootstrapped to allow the deployment of the AWS CDK stack. It enables you to use an off-the-shelf model as is without involving machine learning operations (MLOps) activity.

Engineering 108

Engineering Metrics industry standards Finance 108

AWS Machine Learning

OCTOBER 29, 2024

Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account. Clean up To avoid incurring costs and maintain a clean AWS account, you can remove the associated resources by deleting the AWS CloudFormation stack you created for this walkthrough.

Best practices 111

Best practices Feedback Metrics APIs 111

AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process.

Management 105

Management APIs Engineering Metrics 105

AWS Machine Learning

MARCH 27, 2025

This requirement translates into time and effort investment of trained personnel, who could be support engineers or other technical staff, to review tens of thousands of support cases to arrive at an even distribution of 3,000 per category. Sonnet prediction accuracy through prompt engineering. We expect to release version 4.2.2

Education 92

Education Engineering APIs Enterprise 92

AWS Machine Learning

FEBRUARY 25, 2025

Headquartered in Redwood City, California, Alation is an AWS Specialization Partner and AWS Marketplace Seller with Data and Analytics Competency. Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale.

Enterprise 93

Enterprise Engineering APIs Accountability 93

AWS Machine Learning

NOVEMBER 15, 2023

Principal is conducting enterprise-scale near-real-time analytics to deliver a seamless and hyper-personalized omnichannel customer experience on their mission to make financial security accessible for all. The CCI Post-Call Analytics (PCA) solution is part of CCI solutions suite and fit many of the identified requirements.

Analytics 118

Analytics Interactive Voice Response Average Handle Time Contact Center 118

CCNG

MARCH 6, 2024

There are many types of AI, however, 95% of AI is being utilized effectively and most of the innovation in the contact center is based on Generative and Analytical. Analytical AI analyzes large amounts of data and processes quickly, sometimes in real-time, and creates actionable insights from that data.

Contact Center 195

Contact Center Calibration Interactive Voice Response Analytics 195

AWS Machine Learning

MARCH 19, 2025

When preparing the answer, take into account the following text: {context} ] Before answering the question, think through it step-by-step within the tags. nn en nn nnAWS (Amazon Web Services) is a cloud computing platform that offers a broad set of global services including computing, storage, databases, analytics, machine learning, and more.

APIs 100

APIs Automotive Accountability Analytics 100

AWS Machine Learning

MAY 3, 2023

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

Engineering 93

Engineering Metrics APIs Big data 93

AWS Machine Learning

NOVEMBER 7, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides a wide range of publicly available and proprietary FMs from providers such as AI21 Labs, Cohere, Hugging Face, Meta, and Stability AI, which you can deploy to SageMaker endpoints in your own AWS account. They’re illustrated in the following figure.

Enterprise 112

Enterprise APIs Government Accountability 112

AWS Machine Learning

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below.

Engineering 108

Engineering Real estate Government Big data 108

AWS Machine Learning

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

Analytics 96

Analytics Healthcare Engineering Government 96

AWS Machine Learning

OCTOBER 20, 2023

This framework addresses challenges by providing prescriptive guidance through a modular framework approach extending an AWS Control Tower multi-account AWS environment and the approach discussed in the post Setting up secure, well-governed machine learning environments on AWS.

Government 130

Government Engineering Accountability Enterprise 130

AWS Machine Learning

MARCH 18, 2025

ASR and NLP techniques provide accurate transcription, accounting for factors like accents, background noise, and medical terminology. Audio-to-text transcription The recorded audio files are securely transmitted to a speech-to-text engine, which converts the spoken words into text format. An AWS account.

Healthcare 84

Healthcare Analytics Consulting Consulting 84

AWS Machine Learning

NOVEMBER 17, 2022

As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale. A key component of the model building and development process is feature engineering.

Engineering 81

Engineering Big data Accountability Government 81

AWS Machine Learning

OCTOBER 28, 2024

Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. Data Scientist at AWS, bringing a breadth of data science, ML engineering, MLOps, and AI/ML architecting to help businesses create scalable solutions on AWS.

Scripts 109

Scripts Metrics Engineering Analytics 109

AWS Machine Learning

DECEMBER 13, 2024

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. About Clearwater Analytics Clearwater Analytics (NYSE: CWAN) stands at the forefront of investment management technology. trillion in assets across thousands of accounts worldwide.

Analytics 82

Analytics Management Accountability Engineering 82

AWS Machine Learning

FEBRUARY 21, 2025

Compound AI system and the DSPy framework With the rise of generative AI, scientists and engineers face a much more complex scenario to develop and maintain AI solutions, compared to classic predictive AI. With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results.

Benchmark 86

Benchmark Metrics Engineering Feedback 86

AWS Machine Learning

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. MPII’s bid optimization engine solution uses ML models to generate optimal bids for participation in different markets. in Electrical Engineering and a B.S. in Computer Engineering.

Marketing 95

Marketing Analytics APIs Engineering 95

CSM Magazine

FEBRUARY 28, 2025

Todays bad actors use complex techniques that may involve synthetic identities, social engineering, hacking, or infiltrating legitimate systems to surreptitiously divert funds. News of compromised accounts or large-scale fraud can spread rapidly, shaking customer confidence and even causing long-term brand damage.

Government 52

Government Finance Best practices Banking 52

OrecX

MAY 25, 2022

Conversational analytics engines automatically identify these words and can alert managers, team leaders and/or quality evaluators who can use those relevant sections of an interaction to better coach underperforming agents. When this happens, the transcription engine has trouble discerning what each individual said.

Engineering 127

Engineering Analytics Coaching Accountability 127

TechSee

OCTOBER 23, 2018

Personalized product recommendations: AI-driven recommendation engines offer customers products tailored to their preferences. Amazon reports that 35% of all their sales are generated by the recommendation engine. Customer Analytics. Retail giant Amazon has been leading the industry’s CX personalization efforts since 2013. .

Personalization 157

Personalization Customer Service Chatbots Analytics 157

AWS Machine Learning

FEBRUARY 5, 2025

Previously, OfferUps search engine was built with Elasticsearch (v7.10) on Amazon Elastic Compute Cloud (Amazon EC2), using a keyword search algorithm to find relevant listings. These challenges include: Context understanding Keyword searches dont account for the context in which a term is used.

Engineering 79

Engineering Metrics Analytics Marketing 79

AWS Machine Learning

DECEMBER 7, 2023

In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. SARIMA extends ARIMA by incorporating additional parameters to account for seasonality in the time series. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager.

Management 127

Management Engineering Analytics Construction 127

AWS Machine Learning

OCTOBER 31, 2023

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. In particular, they are routinely used to store information related to customer accounts.

Healthcare 128

Healthcare APIs Engineering Accountability 128

Outsource Consultants

FEBRUARY 25, 2025

Are you leveraging call centers to turn support into a revenue engine? Leverage Data Analytics for Targeted Campaigns Data analytics plays a vital role in boosting ecommerce sales through call centers. Advanced analytics tools convert raw data into actionable intelligence, driving immediate sales and long-term strategy.

Call Center 67

Call Center Sales outsourcing Technical Support 67

AWS Machine Learning

SEPTEMBER 3, 2024

By using the Livy REST APIs , SageMaker Studio users can also extend their interactive analytics workflows beyond just notebook-based scenarios, enabling a more comprehensive and streamlined data science experience within the Amazon SageMaker ecosystem.

Big data 115

Big data Engineering Accountability Real estate 115

AWS Machine Learning

FEBRUARY 5, 2025

Monitoring Amazon Q has a built-in feature for an analytics dashboard that provides insights into user engagement within a specific Amazon Q Business application environment. About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services. Click here to open the AWS console and follow along.

Engineering 71

Engineering Feedback Analytics Education 71

AWS Machine Learning

AUGUST 8, 2024

Users typically reach out to the engineering support channel when they have questions about data that is deeply embedded in the data lake or if they can’t access it using various queries. Having an AI assistant can reduce the engineering time spent in responding to these queries and provide answers more quickly.

Engineering 123

Engineering Accountability Feedback Construction 123

ChurnZero

MARCH 24, 2025

Every trend points to customer success becoming the growth engine of businesses, and since customer success typically owns NRR (net revenue retention) , tracking how the teams investments impact performance is also part of that need. 1: You notice your CRM holding your team back. 3: Your CS teams processes feel inconsistent or repetitive.

Technology 52

Technology CRM Engineering Finance 52

ConvergeOne

APRIL 12, 2022

Jumping into an AI project without a strong foundation can be a bit like buying a powerful car engine without any way to use it. While we may look at the engine and dream of the excitement it will someday produce, it isn’t providing any real value without the car frame, wheels, body, transmission, etc.

Government 105

Government Engineering Analytics Best practices 105

Callminer

OCTOBER 11, 2018

Fortunately, there are valuable tools that can help you gain deeper insights, such as speech analytics , to better leverage your data and boost call center performance. Smitha obtained her license as CPA in 2007 from the California Board of Accountancy. Reuben Kats @grab_results. One of the most undervalued call center metrics is…”.

Call Center 561

Call Center Metrics Contact Center Wait times 561

Outsource Consultants

FEBRUARY 18, 2025

Proactive quality control is the engine that powers this positive cycle. Data-Driven Approach: Leverage the power of data analytics to identify trends and patterns in quality issues. This fosters a sense of shared ownership and accountability. It sets the bar high and provides the framework to maintain it.

Feedback 67

Feedback Customer centricity Best practices Engineering 67