AWS Machine Learning Blog

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. Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture.

AWS 97

AWS ML ML Machine Learning 97

The MLOps Blog

MARCH 15, 2023

Data quality has been a pain point for businesses impacting their ability to trust the insights derived from it. Typical ML systems require complex transformations of feature space and your choice of tool should be good at all of them to ensure that the developers don’t get stuck. Uses secure protocols for data security.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

AWS Machine Learning Blog

MAY 5, 2023

To easily provide users with a large repository of relevant results, the solution should provide an automated way of searching through trusted sources. To increase the accuracy of identifying services in the architecture diagram, we use another Amazon Rekognition feature called text detection.

AWS 102

AWS ETL ML ML 102

The MLOps Blog

JUNE 27, 2023

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Enterprise users need to be able to search for accurate answers easily and securely across content from multiple data sources in the enterprise, including AEM, from content such as assets and pages. For more information, refer to User administration and Security. Choose Tools , Security , and SSL Configuration. and above).

AWS 99

AWS Cloud Computing Analytics Analytics 99

AWS Machine Learning Blog

MAY 1, 2024

Custom terminology, a feature of Amazon Translate, is dynamically utilized by the app workflow when a language has matching custom terminology available. For interacting with AWS services, the AWS Amplify JS library for React simplifies the authentication, security, and API requests. 1 – Translating a document.

AWS 102

AWS Artificial Intelligence Artificial Intelligence AI 102

Precisely

JUNE 1, 2023

Throughout our Trust ‘23 summit, Precisely has demonstrated just how critical data integrity is for surviving and thriving in today’s hyper-competitive business environment. Access to Trusted Data Is Key You need access to trusted data and real-time insights to deliver outstanding customer experiences. Data drives innovation.

Data Silos 52

Data Silos Data Governance 52

Precisely

JUNE 1, 2023

Throughout our Trust ‘23 summit, Precisely has demonstrated just how critical data integrity is for surviving and thriving in today’s hyper-competitive business environment. Access to Trusted Data Is Key You need access to trusted data and real-time insights to deliver outstanding customer experiences. Data drives innovation.

Data Silos 52

Data Silos Data Governance 52

AWS Machine Learning Blog

JULY 3, 2023

You can use Amazon SageMaker Data Labeling in two ways to create these labels: Amazon SageMaker Ground Truth Plus – This service provides an expert workforce that is trained on ML tasks and can help meet your data security, privacy, and compliance requirements. Ground Truth supports these features.

Deep Learning 82

Deep Learning Deep Learning AWS Machine Learning 82

AWS Machine Learning Blog

FEBRUARY 14, 2024

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

AWS 118

AWS AI AI Database 118

Dataconomy

APRIL 11, 2023

Database encryption has become a critical component of data security in today’s digital landscape. Encryption is widely used in various applications, including email communication, online transactions, and data storage, to ensure that sensitive information remains secure. What is data encryption?

Database 70

Database Data Governance Algorithm Data Science 70

Flipboard

DECEMBER 18, 2023

Learn more about these new generative AI features to increase productivity including Amazon Q generative SQL in Amazon Redshift. In this session, learn about Amazon Redshift’s technical innovations including serverless, AI/ML-powered autonomics, and zero-ETL data integrations.

AWS 112

AWS Data Warehouse ETL SQL 112

AWS Machine Learning Blog

JANUARY 20, 2023

A trusted leader in AI, Internet of Things (IoT), customer experience, and network and workflow management, CCC delivers innovations that keep people’s lives moving forward when it matters most. Step 2 The client securely uploads the prediction input content to an S3 bucket using the pre-signed URL generated in the previous step.

AWS 65

AWS AI AI Computer Science 65

AWS Machine Learning Blog

SEPTEMBER 28, 2023

When we talk to customers, they tell us they need security and privacy, scale and price-performance, and most importantly tech that is relevant to their business. Independent software vendors (ISVs) like Salesforce are now securely integrating with Amazon Bedrock to enable their customers to power generative AI applications.

AWS 119

AWS AI AI Machine Learning 119

Flipboard

APRIL 13, 2023

Since the data customers want to use for customization is incredibly valuable IP, they need it to stay completely protected, secure, and private during that process, and they want control over how their data is shared and used. Bedrock customers can choose from some of the most cutting-edge FMs available today.

AWS 182

AWS AI AI ML 182

The MLOps Blog

MARCH 21, 2023

Perform operational system development and testing to assure the security, performance, and availability of ML models as they integrate into the wider organizational stack. Developing our ML platform has been a transformative process that involves building trust with data scientists and digging deep to understand their approaches.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69