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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. With Lambda integration, we can create a web API with an endpoint to the Lambda function.
In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics. Additionally, Intact was impressed that Amazon Transcribe could adapt to various post-call analytics use cases across their organization.
To address these issues, we launched a generative artificial intelligence (AI) call summarization feature in Amazon Transcribe Call Analytics. Simply turn the feature on from the Amazon Transcribe console or using the start_call_analytics_job API. You can upload a call recording in Amazon S3 and start a Transcribe Call Analytics job.
The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails. He has been helping customers at AWS for the past 4.5
The Live Call Analytics with Agent Assist (LCA) open-source solution addresses these challenges by providing features such as AI-powered agent assistance, call transcription, call summarization, and much more. Under Available OAuth Scopes , choose Manage user data via APIs (api). We’ve all been there. Choose Save.
Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway.
Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention. In this post, we illustrate how to handle OOC by utilizing the power of the IMDb dataset (the premier source of global entertainment metadata) and knowledge graphs.
Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. Growing in the media and entertainment space, Veritone solves media management, broadcast content, and ad tracking issues.
The function invokes the Amazon Textract API and performs a fuzzy match using the document schema mappings stored in Amazon DynamoDB. An event on message receipt invokes a Lambda function that in turn invokes the Amazon Textract StartDocumentAnalysis API for information extraction. Saby Sahoo , is a senior solutions architect at AWS.
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Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.
AI and customer journey analytics are key components in assembling businesses with One Voice, joined across silos and touchpoints. Data unification is a must for any type of behavioral analytics. Most leading SaaS platforms have APIs and consider 3rd-party integrations to be a critical component of their value proposition.
The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.
When the user is authenticated, the web application establishes a secure GraphQL connection to the AWS AppSync API, and subscribes to receive real-time events such as new calls and call status changes for the meetings list page, and new or updated transcription segments and computed analytics for the meeting details page.
Personalization can improve the user experience of shopping, entertainment, and news sites by using our past behavior to recommend the products and content that best match our interests. If the Amazon Q Business application is configured with IAM Identity Center, the AssumeRole API is called passing the IAM Identity Center token.
If an enterprise has already invested in an on-premise telephony infrastructure but is starting to entertain the merits of migrating to the cloud, a Connector can be a good first step.
You can get started without any prior machine learning (ML) experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. You can use the Amazon Personalize console or API to create a filter with your logic using the Amazon Personalize DSL (domain-specific language). It only takes a few minutes.
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates.
That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in. Provectus helps companies in healthcare and life sciences, retail and CPG, media and entertainment, and manufacturing, achieve their objectives through AI.
Kinesis Video Streams makes it straightforward to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. Amazon Bedrock is a fully managed service that provides access to a range of high-performing foundation models from leading AI companies through a single API.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, like Meta, through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Configure Llama 3.2 b64encode(image_bytes).decode('utf-8')
The key components of the technical architecture are as follows: Data storage and analytics – The quarterly financial earning recordings as audio files, financial annual reports as PDF files, and S&P stock data as CSV files are hosted on Amazon Simple Storage Service (Amazon S3). Data exploration on stock data is done using Athena.
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. improvement to playback duration. Conclusion.
Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.
Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. put_record API to ingest individual records or to handle streaming sources.
Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games. For a single model registration we can use the ModelStep API to create a SageMaker model in registry. This is a guest blog post co-written with Hussain Jagirdar from Games24x7.
In this innovation talk, hear how the largest industries, from healthcare and financial services to automotive and media and entertainment, are using generative AI to drive outcomes for their customers. See demos on how to build analytics dashboards and integrations between LLMs and Amazon QuickSight to visualize your key metrics.
The second important component of the architecture is Amazon Kinesis Data Analytics for Apache Flink. Kinesis Data Analytics provides the underlying infrastructure for your Apache Flink applications. NHL Edge IQ, powered by AWS, is bringing fans closer to the action with advanced analytics and new ML stats.
OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 You can also add data incrementally by importing records using the Amazon Personalize console or API.
medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium
She works with Amazon media and entertainment (M&E) customers to design, build, and deploy technology solutions on AWS, and has a particular interest in Gen AI and machine learning focussed on M&E. With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results.
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.
CPaaS is a cloud-based communication solution with an API enabling simple integration with any current app. Simultaneously, analytics may give information on your consumers, workforce productivity, and other topics. The dispersed team model is now being adopted by other industries, such as media and entertainment.
CPaaS is a cloud-based communication solution with an API enabling simple integration with any current app. Simultaneously, analytics may give information on your consumers, workforce productivity, and other topics. The dispersed team model is now being adopted by other industries, such as media and entertainment.
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Olli is essentially designed to deliver interesting, entertaining, intuitive and interactive experiences for riders. The platform leverages four Watson developer APIs: Speech to Text. Time related questions like, “Are we there yet?” ” In addition, Olli can make recommendations on local restaurants or historical sites.
It provides parameters for metadata, alt text, blog optimization, and you can use this app’s analytics to improve conversion rate optimization and evaluate the strength of your calls to action. With ReConvert’s analytics, you can evaluate the performance of your thank you pages and determine where to adjust your strategy.
Twilio is a platform that creates easier communication by enabling messages, VoIP and phones to be embedded in mobile, web, and desktop applications, giving businesses the ability to have better communication with the customers with their API integrations to make it a toolkit for every developer’s need. Datadog – $1.2B
So much so, that now behavioural data and behavioural analytics are considered the secret ingredients for product led growth. . But what are behavioural data and behavioural analytics? . Behavioural analytics: This is the tool SaaS companies swear by to gauge digital user actions within your product. Remember: Data never lies
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Consider inserting AWS Web Application Firewall (AWS WAF) in front to protect web applications and APIs from malicious bots , SQL injection attacks, cross-site scripting (XSS), and account takeovers with Fraud Control. He recharges through reading, traveling, food and wine, discovering new music, and advising early-stage startups.
It is a cloud-based model of delivery that lets the user add video, messaging, and voice features to their existing software using the APIs. It uses the communication Application Programming Interface (APIs) to connect with existing apps and software. APIs these two servers to interact efficiently. Call Analytics.
Carrier is making more precise energy analytics and insights accessible to customers so they reduce energy consumption and cut carbon emissions. With Amazon Bedrock, customers are only ever one API call away from a new model. CRM or ERP applications), and write a few AWS Lambda functions to execute the APIs (e.g.,
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