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 103

Engineering Metrics APIs Big data 103

AWS Machine Learning

NOVEMBER 22, 2024

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. The diagram shows several accounts and personas as part of the overall infrastructure.

Government 103

Government Banking Accountability Engineering 103

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 104

Analytics Healthcare Engineering Government 104

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 134

Government Engineering Accountability Enterprise 134

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 83

Engineering Big data Accountability Analytics 83

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 100

Marketing Analytics APIs Engineering 100

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 133

Management Engineering Analytics Construction 133

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 125

Big data Engineering Accountability Real estate 125

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

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 134

Healthcare APIs Engineering Accountability 134

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

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 130

Engineering Accountability Feedback Construction 130

AWS Machine Learning

FEBRUARY 29, 2024

At Deutsche Bahn, a dedicated AI platform team manages and operates the SageMaker Studio platform, and multiple data analytics teams within the organization use the platform to develop, train, and run various analytics and ML activities. For high availability, multiple identical private isolated subnets are provisioned.

APIs 133

APIs Construction Transportation Analytics 133

AWS Machine Learning

JUNE 11, 2024

Sprinklr’s specialized AI models streamline data processing, gather valuable insights, and enable workflows and analytics at scale to drive better decision-making and productivity. For example, for mixed AI workloads, the AI inference is part of the search engine service with real-time latency requirements.

Engineering 117

Engineering Benchmark Accountability Best practices 117

AWS Machine Learning

MAY 30, 2024

The solution is available on the GitHub repository and can be deployed to your AWS account using an AWS Cloud Development Kit (AWS CDK) package. It offers details of the extracted video information and includes a lightweight analytics UI for dynamic LLM analysis. The following screenshots show some examples.

Advertising 136

Advertising APIs Education Analytics 136

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 59

Analytics Management Accountability Engineering 59

AWS Machine Learning

MAY 15, 2024

With that goal, Amazon Ads has used artificial intelligence (AI), applied science, and analytics to help its customers drive desired business outcomes for nearly two decades. Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v). Burak is still a research affiliate in MIT.

Advertising 135

Advertising APIs Engineering Benchmark 135

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

AWS Machine Learning

DECEMBER 20, 2023

Furthermore, the analytics for identifying security threats must be capable of scaling and evolving to meet a changing landscape of threat actors, security vectors, and digital assets. Process Amazon Security Lake log data using a SageMaker Processing job to engineer features.

Engineering 136

Engineering Accountability Analytics Construction 136

ShepHyken

NOVEMBER 18, 2022

The customer support partner takes the customer’s requirements into account and creates exactly what is required of them. Last but not least, the finished product is completely unique and not like the products of competitors. The customer receives a completely unique product that is created for the client’s needs and purposes.

B2B 182

B2B Customer Support Best practices Coaching 182

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

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. An Amazon DataZone domain and an associated Amazon DataZone project configured in your AWS account.

Government 128

Government Banking Engineering Enterprise 128

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. Our solution aims to address those challenges using Amazon Bedrock and AWS Analytics Services. Therefore, collecting comprehensive and high-quality metadata also remains a challenge.

Engineering 138

Engineering Best practices Analytics Enterprise 138

AWS Machine Learning

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. For this post, we use the Anthropic Claude 3 Sonnet model.

APIs 130

APIs Accountability CRM Engineering 130

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 107

Engineering Analytics Self service Government 107

AWS Machine Learning

JUNE 24, 2022

To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT, and business stakeholders, should collaborate and interact; how to separate the concerns, responsibilities, and skills; and how to use AWS services optimally.

Enterprise 127

Enterprise Engineering Accountability APIs 127

AWS Machine Learning

OCTOBER 24, 2024

Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities. It allows data scientists and machine learning engineers to interact with their data and models and to visualize and share their work with others with just a few clicks.

Banking 122

Banking Analytics Engineering Accountability 122

AWS Machine Learning

JANUARY 13, 2023

Automating the client-server infrastructure to support multiple accounts or virtual private clouds (VPCs) requires VPC peering and efficient communication across VPCs and instances. The tables are de-identified to meet the regulatory requirements US Health Insurance Portability and Accountability Act (HIPAA).

Analytics 97

Analytics Healthcare Scripts Accountability 97

AWS Machine Learning

JUNE 19, 2024

Prerequisites You need an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

APIs 105

APIs Engineering Accountability Scripts 105

AWS Machine Learning

NOVEMBER 6, 2023

We also show how to get started quickly using the latest version of our open source solution, Live Call Analytics with Agent Assist. The following screenshot shows an example of the Live Call Analytics with Agent Assist call details page, which contains information about each call.

Contact Center 136

Contact Center CRM Analytics Average Handle Time 136

AWS Machine Learning

JULY 15, 2024

Powered by a Llama language model, the assistant initially used carefully engineered prompts created by AI experts. Continuous development, testing, and integration using AWS breadth of services in compute, storage, analytics, and machine learning allowed them to iterate quickly. She loves traveling and spending time with her family.

Personalization 130

Personalization Engineering Benchmark Analytics 130

AWS Machine Learning

DECEMBER 6, 2023

This is especially true for questions that require analytical reasoning across multiple documents. This task involves answering analytical reasoning questions. In this post, we show how to design an intelligent document assistant capable of answering analytical and multi-step reasoning questions in three parts.

Analytics 133

Analytics APIs Engineering Construction 133

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 133

Engineering Accountability Construction APIs 133

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 98

Scripts Analytics Accountability Engineering 98

AWS Machine Learning

SEPTEMBER 12, 2024

Security Amazon Bedrock is in scope for common compliance standards such as Service and Organization Control (SOC), International Organization for Standardization (ISO), and Health Insurance Portability and Accountability Act (HIPAA) eligibility, and you can use Amazon Bedrock in compliance with the General Data Protection Regulation (GDPR).

Healthcare 134

Healthcare APIs Accountability Enterprise 134

AWS Machine Learning

MAY 7, 2024

If you are eager to learn more about how conversation summaries can apply to a contact center environment, you can deploy this technique in our suite of solutions for Live Call Analytics and Post Call Analytics. About the Authors Gabriel Rodriguez Garcia is a Machine Learning engineer at AWS Professional Services in Zurich.

Construction 136

Construction Engineering Enterprise Analytics 136

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 131

Healthcare Big data Engineering Accountability 131