APIs, Big data, Blog and Engineering - Customer Contact Central

Deploy a Slack gateway for Amazon Bedrock

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. We will cover this in a later blog post. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs

APIs Engineering Accountability Big data

How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

SEPTEMBER 9, 2022

Our initial ML model uses 21 batch features computed daily using data captured in the past 2 months. This data includes both playback and app engagement history per user, and grows with the number of users and frequency of app usage. The processing infrastructure is needed only for the duration of the computations. Real-time inference.

Personalization

Personalization APIs Metrics Engineering

What’s All This Fuss About Composability?

ConvergeOne

DECEMBER 7, 2021

The purpose of this blog post is to help folks understand why this is important and how it relates specifically to customer experience. I mentioned open APIs and microservices. This is where we can currently apply some of the remaining components such as AI, machine learning, automation, big data, and analytics.

APIs

APIs Big data Analytics Self service

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

Analytics

Analytics Engineering Metrics APIs

Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

AWS Machine Learning

JUNE 25, 2024

In this blog post, we will share some of capabilities to help you get quick and easy visibility into Amazon Bedrock workloads in context of your broader application. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes.

Metrics

Metrics APIs Government Big data

How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. implement the model and the inference API. gpt2 and predictor.py

APIs

APIs Engineering Construction Benchmark

Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

JULY 29, 2022

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management

Management APIs Accountability Construction

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

SEPTEMBER 9, 2022

This is a guest blog post cowritten with athenahealth. Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. Victor Krylov is a Principal Member of Technical Staff at athenahealth.

Engineering

Engineering Healthcare APIs Scripts

What’s All This Fuss About Composability?

ConvergeOne

DECEMBER 7, 2021

The purpose of this blog post is to help folks understand why this is important and how it relates specifically to customer experience. I mentioned open APIs and microservices. This is where we can currently apply some of the remaining components such as AI, machine learning, automation, big data, and analytics.

APIs

APIs Big data Analytics Self service

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning

APRIL 19, 2023

This post walks through a complete example of how you can couple streaming feature engineering with Feature Store to make ML-backed decisions in near-real time. Apache Flink is a popular framework and engine for processing data streams. cc_num trans_time amount fraud_label …1248 Nov-01 14:50:01 10.15

Engineering

Engineering Analytics APIs Enterprise

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices

Best practices Government Engineering Accountability

Building an efficient MLOps platform with OSS tools on Amazon ECS with AWS Fargate

AWS Machine Learning

SEPTEMBER 18, 2024

The backbone of these advancements is ZOE, Zeta’s Optimization Engine. ZOE is a multi-agent LLM application that integrates with multiple data sources to provide a unified view of the customer, simplify analytics queries, and facilitate marketing campaign creation. The main parts we use are tracking the server and model registry.

APIs

APIs Engineering Analytics Marketing

Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas

AWS Machine Learning

AUGUST 12, 2024

Data is presented to the personas that need access using a unified interface. For example, it can be used to answer questions such as “If patients have a propensity to have their wearables turned off and there is no clinical telemetry data available, can the likelihood that they are hospitalized still be accurately predicted?”

Engineering

Engineering APIs Healthcare Analytics

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. Its low-code interface drastically reduces the time needed to develop generative AI applications.

Enterprise

Enterprise APIs Engineering Government

Transforming credit decisions using generative AI with Rich Data Co and AWS

AWS Machine Learning

FEBRUARY 10, 2025

Our initial approach combined prompt engineering and traditional Retrieval Augmented Generation (RAG). They provide access to external data and APIs or enable specific actions and computation. As a former startup CTO, he enjoys collaborating with founders and engineering leaders to drive growth and innovation on AWS.

Chief Customer Officer

Chief Customer Officer Banking SaaS Engineering

Accelerate analysis and discovery of cancer biomarkers with Amazon Bedrock Agents

AWS Machine Learning

NOVEMBER 19, 2024

We showcase a variety of tools including database retrieval with Text2SQL, statistical models and visual charts with scientific libraries, biomedical literature search with public APIs and internal evidence, and medical image processing with Amazon SageMaker jobs. We reuse the data pipelines described in this blog post.

APIs

APIs Healthcare Engineering Banking

Parameta accelerates client email resolution with Amazon Bedrock Flows

AWS Machine Learning

JANUARY 7, 2025

This blog post is co-written with Siokhan Kouassi and Martin Gregory at Parameta. When financial industry professionals need reliable over-the-counter (OTC) data solutions and advanced analytics, they can turn to Parameta Solutions , the data powerhouse behind TP ICAP. For code samples, see Run Amazon Bedrock Flows code samples.

Technical Support

Technical Support APIs Government Analytics

Customer Contact Central

Deploy a Slack gateway for Amazon Bedrock

How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

Trending Sources

What’s All This Fuss About Composability?

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

Team and user management with Amazon SageMaker and AWS SSO

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

What’s All This Fuss About Composability?

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Building an efficient MLOps platform with OSS tools on Amazon ECS with AWS Fargate

Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

Transforming credit decisions using generative AI with Rich Data Co and AWS

Accelerate analysis and discovery of cancer biomarkers with Amazon Bedrock Agents

Parameta accelerates client email resolution with Amazon Bedrock Flows

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