AWS Machine Learning

MAY 22, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Scripts 137

Scripts Engineering Accountability Benchmark 137

AWS Machine Learning

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. With SageMaker Processing, you can bring your own custom processing scripts and choose to build a custom container or use a SageMaker managed container with common frameworks like scikit-learn, Lime, Spark and more.

Scripts 94

Scripts Best practices Metrics APIs 94

AWS Machine Learning

JULY 6, 2022

Our translator consists of three fully managed AWS ML services working together in a single Python script by using the AWS SDK for Python (Boto3) for our text translation and text-to-speech portions, and an asynchronous streaming SDK for audio input transcription. Amazon Translate: State-of-the-art, fully managed translation API.

APIs 98

APIs Scripts Engineering Management 98

AWS Machine Learning

AUGUST 11, 2022

billion to frauds in 2021, up more than 70% over 2020. Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API. It starts from a RESTful API that queries the graph database in Neptune to extract the subgraph related to an incoming transaction.

Construction 98

Construction APIs Accountability Scripts 98

AWS Machine Learning

JULY 29, 2022

These customized ML models can either be deployed to the AWS Cloud using cloud APIs or to custom edge hardware using AWS IoT Greengrass. The scripts outputs an image that includes the color and location of the defects on the anomalous image. Finally, we demonstrate a Python-based sample application running on the EC2 (C5a.2xl)

Scripts 97

Scripts SaaS Accountability Engineering 97

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). Roundup of re:Invent 2021 Amazon SageMaker announcements. Announcing Amazon SageMaker Inference Recommender.

Metrics 98

Metrics Scripts Enterprise Telecommunications 98

AWS Machine Learning

APRIL 18, 2023

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

Finance 96

Finance Scripts APIs Sales 96

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team.

Engineering 98

Engineering Healthcare APIs Scripts 98

AWS Machine Learning

NOVEMBER 16, 2023

script that matches the model’s expected input and output. The important thing is to review available VQA models, at the time you read this, and be prepared to deploy the model you choose, which will have its own API request and response contract. As you read this, the mix of available VQA models may change. Harrison Jr, D., &

Real estate 114

Real estate APIs Scripts Accountability 114

AWS Machine Learning

NOVEMBER 9, 2022

In 2021, AWS announced the integration of NVIDIA Triton Inference Server in SageMaker. A complete API call from the client is as follows: The client assembles the request and initiates the request to a SageMaker endpoint. The Python script starts the NGINX, Flask, and Triton server. Client implementation for inference.

Engineering 98

Engineering Accountability APIs Metrics 98

NobelBiz

FEBRUARY 15, 2023

Key Points CCaaS is paramount to successfully add a new communication channel You must consider the tone, scripts and pace of new channels Your Call Center must track the right KPIs for every new channel How to add a new communication channel in a call center? Integration with your current software (CRM, API etc.)

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

AWS Machine Learning

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. SageMaker uses the Amazon S3 multipart upload API to upload results from a batch transform job to Amazon S3. Local mode is a great way to test your scripts before running them in a SageMaker managed hosting environment.

Best practices 96

Best practices Metrics Accountability APIs 96

Quiq

DECEMBER 22, 2021

The pandemic accelerated messaging popularity in 2021. According to Zendesk’s 2021 CX Trends Report , in-app messaging popularity grew by 36%, SMS/text messaging by 75%, and social messaging by 110%. With Instagram’s API, you message your customers within the Quiq platform. And customers love it. But this isn’t an English paper!

Best practices 52

Best practices Chatbots Interactive Voice Response Wait times 52

Hodusoft

NOVEMBER 29, 2022

In 2021, HoduCC scored 90 out of 100 on GetApp’s data quadrants and achieved high user ratings in five key areas, which made it a category leader in Gartner’s GetApp category and one of the best customer experience software. RingCentral. HoduCC – Contact Center Software. Exceptionally fast integration. Excellent uptime.

Contact center software 40

Contact center software Contact Center Interactive Voice Response contact center solutions 40

AWS Machine Learning

APRIL 18, 2023

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

Finance 52

Finance Scripts APIs Sales 52

JivoChat

JULY 14, 2021

A 2021 round-up from SuperOffice reveals the growing demand of self-customer service in recent years: 40% of customers prefer self-service over human contact. Let’s take a look at the three most common types of customer self-service channels in 2021: Static website content. Keep all of your end-users in mind and their specific needs.

Self service 52

Self service Chatbots B2B Customer centricity 52

pindrop

OCTOBER 21, 2021

Process Automation – Intelligent call routing, intelligent scripting and unification of desktop across applications to improve agent efficiency. Source: Forrester Infographic: The State of Digital Transformation in Financial Services, 2021. Improve AX - Agent-Oriented Elements.

Contact Center 57

Contact Center Interactive Voice Response Self service Call Center 57

AWS Machine Learning

AUGUST 14, 2023

Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production. Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then.

Engineering 98

Engineering APIs Chatbots Scripts 98

AWS Machine Learning

OCTOBER 14, 2024

The logic flow for generating an answer to a text-image response pair routes as follows: Steps 1 and 2 – To start, a user query and corresponding image are routed through an Amazon API Gateway connection to an AWS Lambda function, which serves as the processing and orchestrating compute for the overall process. us-east-1 or bash deploy.sh

Chatbots 126

Chatbots APIs Engineering Healthcare 126

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 142

APIs Scripts Finance Real estate 142