AWS Machine Learning

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Big data 107

Big data Engineering Accountability Real estate 107

AWS Machine Learning

AUGUST 8, 2024

Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth, customer service, and many more engagement use cases in a flexible, programmatic way. Data is the foundational layer for all generative AI and ML applications.

Engineering 113

Engineering Accountability Feedback Construction 113

AWS Machine Learning

AUGUST 13, 2024

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

Healthcare 121

Healthcare APIs Consulting Consulting 121

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs 137

APIs Big data Accountability Enterprise 137

JivoChat

JANUARY 31, 2023

Data-driven decisions are essential in businesses to diminish the chances of errors, and online data analyst courses will teach you how to interpret data precisely. There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow.

Analytics 75

Analytics APIs Big data Scripts 75

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 110

Metrics Analytics APIs Big data 110

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 114

Government APIs Enterprise Best practices 114

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 75

Analytics Engineering Metrics APIs 75

AWS Machine Learning

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

Analytics 103

Analytics APIs Engineering Technology 103

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs 122

APIs Engineering Accountability Big data 122

AWS Machine Learning

NOVEMBER 19, 2024

Most notably, this includes manual and time-consuming steps for search, summarization, and insight generation across various biomedical literature (for example, PubMed), public scientific databases (for example, Protein Data Bank), commercial data banks and internal enterprise proprietary data.

APIs 53

APIs Healthcare Engineering Banking 53

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).

APIs 129

APIs Healthcare Scripts Enterprise 129

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 79

Personalization APIs Metrics Engineering 79

AWS Machine Learning

OCTOBER 14, 2024

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 74

APIs Construction Government Big data 74

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. 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 84

Government Management APIs Accountability 84

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. ML builders can request access to data published by data engineers.

Government 95

Government Engineering Metrics APIs 95

AWS Machine Learning

JULY 19, 2023

The post Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data describes how to fine-tune an LLM using your own dataset. When that job is done, you can invoke an API that summarizes the text or answers questions about it. text.strip().replace('n',

Construction 68

Construction APIs Big data Engineering 68

AWS Machine Learning

OCTOBER 29, 2024

However, because multiple teams might use your ML platform in the cloud, monitoring large ML workloads across a scaling multi-account environment presents challenges in setting up and monitoring telemetry data that is scattered across multiple accounts. Configure centralized logging to API calls across multiple accounts using CloudTrail.

Government 91

Government Metrics Accountability APIs 91

AWS Machine Learning

OCTOBER 16, 2024

Data aggregation – Metadata needs to be available at the top-level asset (program or movie) and must be reliably aggregated across different seasons. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata. Release frequency – New shows, episodes, and movies are released daily.

Engineering 102

Engineering Metrics APIs Big data 102

AWS Machine Learning

NOVEMBER 6, 2024

However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. Streamlit allows data scientists to create interactive web applications using Python, using their existing skills and knowledge.

Construction 115

Construction APIs Big data Best practices 115

AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. To further monitor those workflows, data scientists now require cross-account read-only permission to the deployed pipeline in the test account.

Accountability 90

Accountability APIs Management Engineering 90

AWS Machine Learning

JUNE 30, 2022

This presents an undesired threat vector for exfiltration and gaining access to customer data when proper access controls are not enforced. Studio supports a few methods for enforcing access controls against presigned URL data exfiltration: Client IP validation using the IAM policy condition aws:sourceIp. Solution overview.

APIs 86

APIs Enterprise Big data Accountability 86

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. Vector data is a type of data that represents a point in a high-dimensional space.

APIs 113

APIs Enterprise Big data Chatbots 113

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 105

APIs Big data Analytics Self service 105

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 77

APIs Government Accountability Scripts 77

AWS Machine Learning

SEPTEMBER 11, 2024

Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionable insights from it.

Benchmark 93

Benchmark Banking Analytics Big data 93

aircall

MARCH 19, 2021

Our world is driven by data. By 2025, global data is projected to grow to 175 zettabytes. What happens to all this data? For some businesses, they use this customer data to gain unique insights to improve things like sales performance or the customer experience. What is Customer Data? Identity Data.

Sales 62

Sales CRM Marketing Best practices 62

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights. Prerequisites.

Analytics 83

Analytics APIs Healthcare Big data 83

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 68

APIs Customer Experience Feedback Chatbots 68

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. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 125

APIs Enterprise Accountability Feedback 125

AWS Machine Learning

JULY 15, 2024

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. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. She received her Ph.D. Marco Mercado is a Sr. After earning his Ph.D.

Engineering 114

Engineering Entertainment Big data Benchmark 114

AWS Machine Learning

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. In the batch case, there are a couple challenges compared to typical data pipelines.

Best practices 129

Best practices Engineering SaaS Accountability 129

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 113

Scripts APIs Government Analytics 113

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. Solution overview Users persist their transactional time series data in MongoDB Atlas.

Finance 121

Finance APIs Analytics Big data 121

AWS Machine Learning

JUNE 19, 2023

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs 79

APIs Accountability Construction Enterprise 79

Natalie Petouhof

JULY 14, 2015

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Today 3scale and Pivotal ® announced that the 3scale self-serve API management solution is available through the Pivotal Web Services (PWS) platform.

APIs 45

APIs Management Analytics Accountability 45

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 80

Scripts Engineering APIs Big data 80