AWS Machine Learning

DECEMBER 21, 2022

Depending on the design of your feature groups and their scale, you can experience training query performance improvements of 10x to 100x by using this new capability. The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. Creating feature groups using Iceberg table format.

Scripts 72

Scripts Engineering APIs Big data 72

The Northridge Group

MARCH 21, 2022

Given the enormity of the industry, the similarity of competitive offerings, and the notably low tolerance among consumers for poor service on their devices, the stakes are high for telecom, healthcare, and other digitally-challenged high-touch companies. Leveraging data analytics to improve FCR rates is critical for achieving this objective.

Wireless 110

Wireless Analytics Average Handle Time Contact Center 110

AWS Machine Learning

SEPTEMBER 9, 2022

athenahealth a leading provider of network-enabled software and services for medical groups and health systems nationwide. This is true for Amazon RDS data as well: encryption is always enabled, and the security groups and credential access follow the principle of least privilege. Kubernetes namespace isolation.

Engineering 74

Engineering Healthcare APIs Scripts 74

AWS Machine Learning

AUGUST 2, 2023

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases.

Enterprise 70

Enterprise Healthcare APIs Big data 70

AWS Machine Learning

NOVEMBER 9, 2023

client("sagemaker") create_model_package_group_response = sm_client.create_model_package_group( ModelPackageGroupName=model_package_group_name, ModelPackageGroupDescription="Cross account model package group for mammo severity model", ) print('ModelPackageGroup Arn : {}'.format(create_model_package_group_response['ModelPackageGroupArn']))

Scripts 97

Scripts Accountability Engineering Best practices 97

AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. As a group of explorers embark on a quest to save humanity, they encounter breathtaking landscapes and uncover the secrets of the universe.

Personalization 109

Personalization Engineering Construction Transportation 109

AWS Machine Learning

NOVEMBER 3, 2022

In the document enrichment phase, we perform enrichment functions on healthcare-related documents to draw valuable insights. Similarly, we can use the Amazon Comprehend Medical InferRxNorm API to identify medications and the InferSNOMEDCT API to detect medical entities within healthcare-related insurance documents. Enrichment phase.

Analytics 74

Analytics APIs Healthcare Big data 74

AWS Machine Learning

FEBRUARY 2, 2023

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

Calibration 73

Calibration Engineering Big data Automotive 73

Taylor Reach Group

MAY 24, 2018

At Taylor Reach Group, we have compiled a list with hundreds of expos, conferences and summits focused on the Call Center, Contact Center and/or Customer Experience. Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Healthcare Call Center’s 30th Annual Conference: June 13-15, Pittsburgh, PA.

Contact Center 48

Contact Center Healthcare Best practices Call Center 48

AWS Machine Learning

MARCH 15, 2024

However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare. Limiting the available data sources to protect privacy negatively affects result accuracy and, ultimately, the quality of patient care.

Healthcare 104

Healthcare Big data Engineering Accountability 104

Aspect

DECEMBER 27, 2017

RFPs for chatbots have arisen in verticals as diverse as banking, government, healthcare, and retail. In 2018, we should see much better integration with customer data and analytics, bringing customer history, behavioral patterns, and big data into chatbot interactions.

Chatbots 116

Chatbots Contact Center Interactive Voice Response Enterprise 116

Stratifyd

JANUARY 3, 2019

We are seeking an analytical, results-driven individual with a passion for developing applications and improving existing ones who knows how to get things done and is not afraid to take on big challenges. Experience and/or knowledge of AI, Big Data, Tech. As a Senior Back-End Software Engineer with Stratifyd, Inc.

Engineering 40

Engineering APIs Analytics Healthcare 40

AWS Machine Learning

MARCH 23, 2023

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. He works with government, non-profit, and education customers on big data and analytical projects, helping them build solutions using AWS.

Scripts 93

Scripts APIs Government Analytics 93

AWS Machine Learning

APRIL 21, 2023

After the train and baseline pipeline run successfully, it registers the trained model as part of the model group in the model registry. Lambda function queries the SageMaker model registry for a specific model package group provided on input to identify the latest approved model version and return related metadata.

Metrics 72

Metrics Telecommunications Analytics Healthcare 72

DMG Consulting

APRIL 16, 2019

These innovations have come hand in hand with megatrends that include Big Data, analytics, mobility, increased server processing speeds (and decreased costs), the market influence of Millennials (the “smart device” generation), the gig economy, and, of course, the cloud. of capturing feedback from customers.

Contact Center 48

Contact Center Interactive Voice Response Analytics Self service 48

SmartKarrot

JANUARY 20, 2022

Various leading SaaS companies have been using data-driven culture to fuel their success. . If you do not believe me, check out this example, An article written by Walmart titled “5 Ways Walmart Uses Big Data to Help Customers.” Data works as a business asset to deliver a competitive advantage .

SaaS 10

SaaS Big data Analytics Healthcare 10

SmartKarrot

FEBRUARY 7, 2022

About: Dataiku is an AI-based data science platform. It provides a platform for big data analysis and all the related activities. Valued Customer Example: GoDaddy, World Class Capital Groups, Starbucks. Valued Customer Example: MS&AD Insurance group, P&V Assurance, General Insurance Association.

SaaS 10

SaaS Real estate B2B Enterprise 10

AWS Machine Learning

APRIL 19, 2023

Feature Store lets you define groups of features, use batch ingestion and streaming ingestion, retrieve the latest feature values with single-digit millisecond latency for highly accurate online predictions, and extract point-in-time correct datasets for training. You decide which feature groups you need for your models.

Engineering 76

Engineering Analytics APIs Enterprise 76

AWS Machine Learning

OCTOBER 20, 2023

These companies also recognize the need for governance to manage things like access control, data usage, model performance, and unfair bias. Companies in regulated industries such as financial services, healthcare, chemistry, and the private sector. It’s expressed in plain language.

Government 99

Government Engineering Accountability Enterprise 99

AWS Machine Learning

DECEMBER 6, 2023

The model then uses a clustering algorithm to group the sentences into clusters. For example, “You are given the following article about Artificial Intelligence and its role in Healthcare: [input text].” Shyam Desai is a Cloud Engineer for big data and machine learning services at AWS.

Engineering 94

Engineering Healthcare Finance Big data 94