AWS Machine Learning

NOVEMBER 17, 2023

The action is an API that the model can invoke from an allowed set of APIs. Components in agents for Amazon Bedrock Behind the scenes, agents for Amazon Bedrock automate the prompt engineering and orchestration of user-requested tasks. It, then, uses the API schema to invoke corresponding code in the Lambda function.

APIs 82

APIs Customer Service Construction Analytics 82

AWS Machine Learning

SEPTEMBER 28, 2023

Customers tell us they need a choice of models, security and privacy assurances, a data-first approach, cost-effective ways to run models, and capabilities like prompt engineering, retrieval augmented generation (RAG), agents, and more to create customized applications.

APIs 112

APIs Enterprise Best practices Government 112

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 117

Best practices Government Engineering Accountability 117

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. Table of Contents What is Call Center Compliance and Why is it Important?

Call Center 104

Call Center Telemarketing Healthcare Government 104

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. No change to the legacy code is required.

Scripts 118

Scripts APIs Engineering Construction 118

Cisco - Contact Center

JANUARY 10, 2023

Define – Business Model Innovation / Industry Transformation, Machine 2 Machine; Augmented Decisions / Self Learning Analytics; Inventory Digital Assets; New Growth and Constant Innovation. Accelerated Digital Transformation Framework. Cybersecurity Readiness Assessment.

Banking 145

Banking Enterprise APIs Contact Center 145

AWS Machine Learning

MAY 7, 2024

Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The following diagram illustrates the solution architecture.

APIs 100

APIs Advertising Entertainment Metrics 100

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 72

APIs Benchmark Best practices Engineering 72

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 90

APIs Metrics Consulting Consulting 90

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data. We use Streamlit for the sample demo application UI.

APIs 84

APIs Chatbots Engineering Best practices 84

Pointillist

JULY 25, 2018

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

Analytics 93

Analytics Government APIs Metrics 93

delighted

DECEMBER 3, 2021

Great examples of automated distribution include survey integrations and Application Programming Interface (API) connections. And, setting up APIs can link two applications to one another for data sharing/interacting purposes, making manual uploads a thing of the past. Create custom APIs for more complex use cases. Not to worry!

Surveys 96

Surveys APIs SaaS Engineering 96

AWS Machine Learning

NOVEMBER 14, 2022

We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. Recommended best practices. Brief overview of Graviton.

Scripts 80

Scripts APIs Best practices Engineering 80

AWS Machine Learning

DECEMBER 6, 2023

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools. LangChain supports Amazon Bedrock as a multi-foundation model API.

Chatbots 93

Chatbots APIs Engineering CRM 93

AWS Machine Learning

NOVEMBER 30, 2023

Let’s say you have a chat application that helps tourists understand local customs and best practices built using two variants of Llama 2: one fine-tuned for European visitors and the other fine-tuned for American visitors. We also walk you through deploying multiple models using inference components and APIs.

APIs 82

APIs Metrics Engineering Best practices 82

AWS Machine Learning

JUNE 27, 2023

That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in. Earth.com didn’t have an in-house ML engineering team, which made it hard to add new datasets featuring new species, release and improve new models, and scale their disjointed ML system.

Engineering 91

Engineering APIs Scripts Entertainment 91

AWS Machine Learning

JUNE 12, 2023

In this post, we present a guide and best practices on training large language models (LLMs) using the Amazon SageMaker distributed model parallel library to reduce training time and cost. Next, we can move the input tensors to the GPU used by the current process using the torch.cuda.set_device API followed by the.to() API call.

Best practices 66

Best practices APIs Engineering Analytics 66

AWS Machine Learning

MARCH 19, 2024

Workers gain productivity through AI-generated insights, engineers can proactively detect anomalies, supply chain managers optimize inventories, and plant leadership makes informed, data-driven decisions. The user can use the Amazon Recognition DetectText API to extract text data from these images.

Construction 110

Construction Scripts APIs Enterprise 110

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 0 … 1248 Nov-02 12:14:31 32.45

Engineering 76

Engineering Analytics APIs Enterprise 76

AWS Machine Learning

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. The service is in preview as of this writing and only available through the API. split("/")[-1]}.out'

APIs 97

APIs Benchmark SaaS Engineering 97

AWS Machine Learning

NOVEMBER 22, 2023

Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases. Reserve your seat now! Reserve your seat now!

Engineering 105

Engineering Best practices APIs Government 105

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 90

APIs Big data Analytics Engineering 90

AWS Machine Learning

SEPTEMBER 9, 2022

This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. Refer to Part 1 to learn how behavioral data was collected and processed using the data and analytics systems. Solution overview. Real-time inference.

Personalization 71

Personalization APIs Engineering Metrics 71

AWS Machine Learning

APRIL 19, 2024

In this post, we use an OSI pipeline API to deliver data to the OpenSearch Serverless vector store. The embeddings are ingested into an OSI pipeline using an API call. Update these roles to apply least-privilege permissions, as discussed in Security best practices. See the following code: session = boto3.Session()

APIs 97

APIs Enterprise Healthcare Accountability 97

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 91

Scripts APIs Government Analytics 91

AWS Machine Learning

NOVEMBER 17, 2022

If the current energy consumption deviates too much from the optimal point, ELC provides an action to adjust internal process variables to optimize energy efficiency based on analytical models. Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC. ELC is hosted in the cloud.

APIs 91

APIs Accountability Metrics Engineering 91

AWS Machine Learning

MARCH 13, 2023

This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks. Amazon SNS is fully managed pub/sub service for A2A and A2P messaging.

Engineering 80

Engineering APIs Metrics Management 80

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 98

Engineering Accountability Construction APIs 98

AWS Machine Learning

NOVEMBER 16, 2023

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Maintainability – The platform’s architecture and code base should be well organized, modular, and maintainable.

Healthcare 84

Healthcare Government Engineering APIs 84

AWS Machine Learning

MARCH 15, 2024

Federated learning: An introduction Federated learning (FL) is a decentralized form of ML—a dynamic engineering approach. Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights.

Healthcare 93

Healthcare Government Best practices Engineering 93

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. Because there is no such existing feature in a patent search engine (to their best knowledge), Patsnap believes adding this feature will increase end-user stickiness. gpt2 and predictor.py

APIs 66

APIs Engineering Construction Benchmark 66

Pointillist

JULY 25, 2018

By Swati Sahai Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics 1.

Analytics 43

Analytics Metrics Government Journey mapping 43

AWS Machine Learning

MAY 14, 2024

She assists customers in adopting best practices while deploying solutions in AWS. Burak has a PhD in Aerospace Engineering from METU, an MS in Systems Engineering, and a post-doc in system dynamics from MIT in Cambridge, MA. Yunfei has a PhD in Electronic and Electrical Engineering.

Chatbots 86

Chatbots Feedback Engineering Entertainment 86

AWS Machine Learning

NOVEMBER 28, 2022

Amazon Transcribe Call Analytics for improved end-user experiences. Amazon Transcribe , an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capabilities to their applications, now supports call analytics to provide real-time conversation insights.

Healthcare 81

Healthcare Analytics Banking Enterprise 81

CSM Magazine

MARCH 27, 2023

With the tool’s AI-powered suggestions, agents would be able to ensure that they were providing accurate information and following best practices, even if they are new to the job or dealing with a particularly difficult customer. Another benefit would be in the reduction of resolution times for customer inquiries.

Customer Service 52

Customer Service APIs Analytics Technology 52

AWS Machine Learning

NOVEMBER 30, 2023

Carrier is making more precise energy analytics and insights accessible to customers so they reduce energy consumption and cut carbon emissions. They want to be able to easily try the latest models, and also test to see which capabilities and features will give them the best results and cost characteristics for their use cases.

APIs 123

APIs Enterprise Best practices Technology 123

AWS Machine Learning

MAY 4, 2023

Both AWS Inferentia2 and Trainium accelerators have two NeuronCores-v2 , 32 GB HBM memory stacks, and dedicated collective-compute engines, which automatically optimize runtime by overlapping computation and communication when doing multi-accelerator inference. Qing Lan is a Software Development Engineer in AWS.

APIs 75

APIs Scripts Engineering Chatbots 75