APIs, Consulting, Engineering and Metrics

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

JANUARY 5, 2024

By the end of the consulting engagement, the team had implemented the following architecture that effectively addressed the core requirements of the customer team, including: Code Sharing – SageMaker notebooks enable data scientists to experiment and share code with other team members.

Management

Management APIs Engineering Government

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

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

APIs Metrics Consulting Consulting

Transaction Risk API- What value does it bring to the market? (Blog 3 of 3)

Whitepages Pro

APRIL 24, 2019

Our latest product innovation, Transaction Risk API , was specifically built for easy integration into sophisticated machine learning (ML) models and is designed to help eCommerce merchants, marketplaces, payment processors, and others manage payment fraud. Transaction Risk API delivers a response within 100 ms to meet this need.

APIs

APIs Marketing Engineering Metrics

Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

APRIL 29, 2024

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. Shamane Siri Ph.D.

APIs

APIs Healthcare Scripts Enterprise

Automatically generate impressions from findings in radiology reports using generative AI on AWS

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare

Healthcare APIs Scripts Metrics

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. 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 client('sts').get_caller_identity()['Account']

APIs

APIs Engineering Construction Benchmark

Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus

AWS Machine Learning

MARCH 13, 2023

Finally, we use Amazon API Gateway as a way of integrating with our front end, the Ground Truth labeling application, to provide secure authentication to our backend. In the following figure, we show the ModelLatency metric natively emitted by SageMaker real-time inference endpoints.

Metrics

Metrics APIs Feedback Engineering

Amazon SageMaker Automatic Model Tuning now automatically chooses tuning configurations to improve usability and cost efficiency

AWS Machine Learning

JUNE 5, 2023

Desired target metrics, improvement monitoring, and convergence detection monitors the performance of the model and assists with early stopping if the models don’t improve after a defined number of training jobs. He brings over 11 years of risk management, technology consulting, data analytics, and machine learning experience.

APIs

APIs Enterprise Benchmark Metrics

Build a solution for a computer vision skin lesion classifier using Amazon SageMaker Pipelines

AWS Machine Learning

OCTOBER 13, 2022

AWS offers a pre-trained and fully managed AWS AI service called Amazon Rekognition that can be integrated into computer vision applications using API calls and require no ML experience. You just have to provide an image to the Amazon Rekognition API and it can identify the required objects according to pre-defined labels.

Healthcare

Healthcare APIs Automotive Consulting

Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. There are many prompt engineering techniques. It is time-consuming but, at the same time, critical.

Healthcare

Healthcare Engineering APIs Benchmark

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

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

Engineering APIs Scripts Entertainment

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics

Analytics APIs Engineering Construction

Use Amazon Titan models for image generation, editing, and searching

AWS Machine Learning

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. Before you can write scripts that use the Amazon Bedrock API, you need to install the appropriate version of the AWS SDK in your environment. For more information, refer to Prompt Engineering Guidelines.

Scripts

Scripts APIs Entertainment Engineering

Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

Engineering

Engineering Enterprise Analytics Metrics

Introducing the Amazon Comprehend flywheel for MLOps

AWS Machine Learning

MARCH 1, 2023

MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle. MLOps requires the integration of software development, operations, data engineering, and data science. Enter the location of text.csv in the S3 bucket.

Engineering

Engineering Consulting Consulting APIs

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

AWS Machine Learning

DECEMBER 1, 2023

From data collection and cleaning to feature engineering, model building, tuning, and deployment, ML projects often take months for developers to complete. We then perform feature engineering to apply transformations such as encoding categorical features, dropping features that are not needed, and more.

Engineering

Engineering Enterprise APIs Metrics

Improve governance of your machine learning models with Amazon SageMaker

AWS Machine Learning

DECEMBER 1, 2022

With the SageMaker Python SDK, you can seamlessly update the Model card with evaluation metrics. Model cards provide model risk managers, data scientists, and ML engineers the ability to perform the following tasks: Document model requirements such as risk rating, intended usage, limitations, and expected performance.

Government

Government Metrics APIs Engineering

Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities

AWS Machine Learning

SEPTEMBER 18, 2023

Arup is a global collective of designers, consultants, and experts dedicated to sustainable development. Data underpins Arup consultancy for clients with world-class collection and analysis providing insight to make an impact. This post is co-authored with Richard Alexander and Mark Hallows from Arup. nName: {} nID: {}".format(eoj["Name"],eoj["Arn"]))

APIs

APIs Consulting Consulting Construction

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs

AWS Machine Learning

JUNE 9, 2023

Basically, by using the API of this layer, you can focus on the model development without worrying about how to scale the model training. First, you preprocess your data (potentially including your custom feature engineering) and transform it into a table format required by GraphStorm.

Enterprise

Enterprise Construction Engineering Metrics

How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

JULY 25, 2018

Success Metrics for the Team. Ultimately, the biggest success metric for the Champion is to be able to show the Executive Sponsor and key Stakeholders that real business value has been gained through the use of customer journey analytics. Success Metrics for the Project. Success Metrics for the Business.

Analytics

Analytics Government APIs Metrics

Improving stability and flexibility of ML pipelines at Amazon Packaging Innovation with Amazon SageMaker Pipelines

AWS Machine Learning

NOVEMBER 3, 2022

Calculation of model performance metrics on the validation set with AWS Batch. The alarms were created to notify the business stakeholders, data scientists, and developers about any failed steps and large deviations in the model and data metrics. You can visualize the model metrics in Studio and compare different model versions.

Metrics

Metrics Engineering Feedback APIs

How to Successfully Implement Customer Journey Analytics

Pointillist

JULY 25, 2018

Success Metrics for the Team Champion – It is important for the champion to understand thoroughly the value of customer journey analytics as an analytics platform and believe that the regular users have built proficiency to use the platform meaningfully on a regular basis. Pick a mix of financial, customer and operational metrics.

Analytics

Analytics Metrics Government Journey mapping

Contact Center Technologies 2017: find out what 23 experts say

RichCall

SEPTEMBER 13, 2017

Blair Pleasant , analyst and consultant about Unified Communications. And, as its mode of operation broadens and becomes more proactive, its success will have to be measured by new metrics, reflecting its critical role in overall business performance. have bots that provide health related consultations based on images and symptoms.

Contact Center

Contact Center Technology Benchmark Chatbots

Best Small Business Phone System: The Ultimate Buyer’s Guide

JustCall

OCTOBER 25, 2022

So, we’ve put together a few steps to ensure that you’ve got a smooth experience with switching your Sales and Support engine to the cloud. For example if earlier number of calls were the metric and now you’re switching to CSAT scores, you need to clearly outline what you’re looking for from your sales and support agents. .

voip

voip Interactive Voice Response Call Logging Analytics

31 Best E-commerce Tools (By Use Case)

JivoChat

JULY 5, 2021

No matter whether you’re selling kitchen goods to consumers or consulting to businesses, the top e-commerce tools include platforms that let you open up shop and close sales. Easy SEO: Built-in search engine optimization (SEO) features can boost your shop’s rankings and help you reach more customers. Best E-commerce Platforms.

Advertising

Advertising Analytics Sales Enterprise

22 Experts Discuss How to Get More Shopify Sales

JivoChat

FEBRUARY 24, 2021

Vagabond Cookies | E-commerce Consultant. Use your transactional emails - Transactional emails have some of the best performance metrics in email. Great product copy tells stories that help consumers understand why that product was created and why it matters. Ademola Adelakun. Tomas Diaz. flexEngage | CEO | Cofounder.

Sales

Sales Advertising Marketing Personalization

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 1, 2023

However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics. The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility.

APIs

APIs Engineering Construction Scripts

AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

AWS Machine Learning

AUGUST 7, 2023

Later versions of the GPT model, namely GPT3 and GPT4, are the engine that powers the ChatGPT application. The following table summarizes the observed metric scores. That allows them to power interactive applications such as ChatGPT that can be expressive in the content they generate. Model Precision Recall F1 AUC Binary.92.90.91.92

Engineering

Engineering APIs Consulting Consulting

Customer Contact Central

Modernizing data science lifecycle management with AWS and Wipro

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

Trending Sources

Transaction Risk API- What value does it bring to the market? (Blog 3 of 3)

Revolutionizing large language model training with Arcee and AWS Trainium

Automatically generate impressions from findings in radiology reports using generative AI on AWS

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

Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus

Amazon SageMaker Automatic Model Tuning now automatically chooses tuning configurations to improve usability and cost efficiency

Build a solution for a computer vision skin lesion classifier using Amazon SageMaker Pipelines

Evaluation of generative AI techniques for clinical report summarization

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

Use Amazon Titan models for image generation, editing, and searching

Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

Introducing the Amazon Comprehend flywheel for MLOps

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

Improve governance of your machine learning models with Amazon SageMaker

Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs

How to Successfully Implement Customer Journey Analytics – Part 1

Improving stability and flexibility of ML pipelines at Amazon Packaging Innovation with Amazon SageMaker Pipelines

How to Successfully Implement Customer Journey Analytics

Contact Center Technologies 2017: find out what 23 experts say

Best Small Business Phone System: The Ultimate Buyer’s Guide

31 Best E-commerce Tools (By Use Case)

22 Experts Discuss How to Get More Shopify Sales

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

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