AWS Machine Learning

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

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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.

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AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. At this point, you need to consider the use case and data isolation requirements.

Enterprise 96

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AWS Machine Learning

AUGUST 7, 2024

RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. RAG also scales better with more data compared to pure generative models, and it doesn’t require fine-tuning of the model when new data is added to the knowledge base.

APIs 117

APIs Chatbots Metrics Education 117

AWS Machine Learning

SEPTEMBER 29, 2023

This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker.

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AWS Machine Learning

JULY 10, 2024

Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic Claude to understand and generate human-like text. The fine-tuning as a deep level of customization represents a key differentiating factor by using your own unique data.

APIs 120

APIs Airlines Metrics Engineering 120

CCNG

MAY 30, 2024

Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data. However, it’s helpful to capture those events and store them for future use.

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AWS Machine Learning

MARCH 27, 2024

The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control.

Enterprise 97

Enterprise APIs Metrics Engineering 97

Spearline

JULY 7, 2022

O ur suite of webRTC testing, monitoring, and analytics solutions provide a raft of real-time and aggregate global and localized testing metrics. These metrics represent performance at all levels of critical webRTC infrastructure and network paths. Or, call our API for this information in JSON format.

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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.

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AWS Machine Learning

APRIL 24, 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 using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

APIs 116

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AWS Machine Learning

MAY 7, 2024

We match the most relevant videos to text-based search queries by incorporating new multimodal embedding models like Amazon Titan Multimodal Embeddings to encode all visual, visual-meta, and transcription data. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API.

APIs 113

APIs Advertising Entertainment Metrics 113

ProProfs Blog

JUNE 26, 2020

Application Program Interface (API). Application Programming Interface (API) is a combination of various protocols, tools, and codes. The function of the API enables apps to communicate with each other. Chat Response Time is a metric to monitor how much time your operators took to respond to chats. Chat Duration.

Customer Service 179

Customer Service APIs Customer Support Feedback 179

AWS Machine Learning

NOVEMBER 15, 2024

Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. This can be useful when you have requirements for sensitive data handling and user privacy.

APIs 95

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AWS Machine Learning

JANUARY 25, 2023

This post shows you how to use an integrated solution with Amazon Lookout for Metrics to break these barriers by quickly and easily detecting anomalies in the key performance indicators (KPIs) of your interest. Lookout for Metrics automatically detects and diagnoses anomalies (outliers from the norm) in business and operational data.

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AWS Machine Learning

DECEMBER 4, 2024

With Amazon Bedrock Model Distillation, you can now customize models for your use case using synthetic data generated by highly capable models. In the first option, you can create a distilled model by providing your production data using historical invocation logs from your previous interactions within Amazon Bedrock.

APIs 101

APIs Metrics Healthcare Chatbots 101

AWS Machine Learning

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. In this post, we show how Custom Queries can accurately extract data from checks that are complex, non-standard documents. Adapters can be created via the console or programmatically via the API.

APIs 110

APIs Best practices Banking Accountability 110

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. An ML model registered by a data scientist needs an approver to review and approve before it is used for an inference pipeline and in the next environment level (test, UAT, or production). API Gateway invokes a Lambda function to initiate model updates.

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AWS Machine Learning

AUGUST 26, 2024

Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data. The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API design API Gateway supports a maximum timeout of 29 seconds.

APIs 105

APIs Calibration Best practices Healthcare 105

ChurnZero

MARCH 18, 2022

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

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SaaS Metrics Surveys Enterprise 98

AWS Machine Learning

APRIL 17, 2024

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. For data scientists, ML chips utilization and saturation are also relevant for capacity planning. or later NPM version 10.0.0

APIs 106

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AWS Machine Learning

JUNE 5, 2024

Comprehend Custom builds customized NLP models on your behalf, using training data that you provide. Load the data in an Amazon Simple Storage Service (Amazon S3) bucket. Collect and prepare the dataset Your training data should have both phishing and non-phishing emails. Create the Amazon Comprehend custom classification model.

APIs 95

APIs Metrics Accountability Enterprise 95

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 95

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AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. This prediction is called inference.

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AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 114

APIs Enterprise Scripts Accountability 114

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 78

Government Management APIs Accountability 78

AWS Machine Learning

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. This feature allows you to separate data into logical partitions, making it easier to analyze and process data later.

Best practices 93

Best practices Feedback Metrics APIs 93

AWS Machine Learning

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. FAST has earned a fourth consecutive leader ranking in the 2024 ISG Provider Lens report for its seamless integration with Verisk’s data, analytics, and claims tools.

Engineering 124

Engineering Customer Support APIs Government 124

AWS Machine Learning

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). Guardrails are applied to check for denied topics and filter out harmful content before the augmented query is sent to the InvokeModel API.

APIs 113

APIs Banking Metrics Management 113

AWS Machine Learning

SEPTEMBER 23, 2024

This is where synthetic data generation comes into play. With synthetic data, you can streamline the evaluation process and gain confidence in your system’s capabilities before unleashing it to the real world. This post explains how to use Anthropic Claude on Amazon Bedrock to generate synthetic data for evaluating your RAG system.

APIs 75

APIs Best practices Engineering Enterprise 75

AWS Machine Learning

SEPTEMBER 28, 2023

However, as organizations increasingly harness the power of FMs, concerns surrounding data privacy, security, added cost, and compliance have become paramount. In addition, API Registries enabled centralized governance, control, and discoverability of APIs. What is a Generative AI Gateway?

APIs 105

APIs Government Enterprise Engineering 105

AWS Machine Learning

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. The preprocessing data is loaded into MongoDB, which is used as a feature store along with Amazon S3.

Personalization 103

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AWS Machine Learning

MAY 5, 2023

By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. Lastly, we cover the data ingestion by an intelligent search service, powered by ML.

Engineering 104

Engineering APIs Scripts Enterprise 104

AWS Machine Learning

NOVEMBER 26, 2024

It employs a combination of technology, processes, and skilled personnel to maintain the confidentiality, integrity, and availability of information systems and data. This skill simplifies the data extraction process, allowing security analysts to conduct investigations more efficiently without requiring deep technical knowledge.

APIs 80

APIs Metrics SaaS Engineering 80

AWS Machine Learning

DECEMBER 29, 2022

Critical business data remains unlocked in unstructured documents such as scanned images and PDFs, and trying to get humans to read this data or even legacy OCR is tedious, expensive, and error prone. Amazon Textract automatically extracts printed text, handwriting, and data from any document.

APIs 96

APIs Banking Real estate Healthcare 96

AWS Machine Learning

MARCH 22, 2023

Additionally, it often requires thousands or tens of thousands of hand-labeled images to provide the model with enough data to accurately make decisions. Generating this data can take months to gather and require large teams of labelers to prepare it for use in machine learning (ML). This could take from minutes to hours to complete.

APIs 79

APIs Metrics Engineering Feedback 79

AWS Machine Learning

JULY 24, 2024

Let’s explore two customer journeys: Selecting and evaluating foundation models – You can evaluate the performance of different pre-trained FMs on relevant datasets and metrics specific to your use case. Fine-tuning an LLM can be a complex workflow for data scientists and machine learning (ML) engineers to operationalize.

APIs 114

APIs Engineering Metrics Enterprise 114