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Amazon Q Business enables users in various roles, such as marketers, project managers, and sales representatives, to have tailored conversations, solve problems, generate content, take action, and more, all through a web-based interface. We provide the service account with authorization scopes to allow access to the required Gmail APIs.
And now leading our data and AI go-to-market, I hear customers consistently emphasize what they need to transform their domain advantage into AI success: infrastructure and services they can trustwith performance, cost-efficiency, security, and flexibilityall delivered at scale. times lower latency compared to other platforms.
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Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.
These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. Learn how Toyota utilizes analytics to detect emerging themes and unlock insights used by leaders across the enterprise.
Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.
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Insight technologies that deliver personalization and predictive analytics. Standardized web services and APIs for federating silos of data and connecting applications ease integration. The cloud also facilitates next-generation time-saving technology — the use of predictive analytics to further streamline customer interactions.
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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. If your platform produces amazing forecasts but no aligned schedules, then you likely have a data analytics platform and not a WFM platform.
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With its proprietary advanced analytics and straightforward integration, Protect+ delivers a multi-level risk detection system that analyzes inbound call traffic, categorizes it with risk levels and call purpose, and provides actionable insights so businesses can determine how to handle each call. .”
Integrate 3rd party data sources (CRM,, analytics, etc.) with your call recording audio and meta data (using a common, standard REST API for simple integration) to gain a 360-degree view of the customer.
This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química.
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In the architecture shown in the following diagram, users input text in the React -based web app, which triggers Amazon API Gateway , which in turn invokes an AWS Lambda function depending on the bias in the user text. Additionally, it highlights the specific parts of your input text related to each category of bias.
Chatbot analytics tools can improve bots ability to handle more queries, freeing up agents to focus on more complex issues. Reporting and Analytics: Its all about visibility. You need comprehensive reporting and analytics to track performance and deliver predictive insights.
With that goal, Amazon Ads has used artificial intelligence (AI), applied science, and analytics to help its customers drive desired business outcomes for nearly two decades. Regarding the inference, customers using Amazon Ads now have a new API to receive these generated images.
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The linking decision is based on the most recent information available publicly on the Internet or in the media, and might be affected by recent acquisitions, market news or divisional re-structuring. An example of account linking would be to identify the relationship between Amazon and its subsidiary, Whole Foods Market [ source ].
Analytics & Reporting : Provides insights into customer interactions. Today, omnichannel support, machine learning, and predictive analytics are transforming customer service. Choosing a solution with robust API support improves efficiency and enhances customer interactions.
Today, in this globalized world, businesses of any size want to expand their reach and exploit new markets beyond borders. Being able to communicate well with customers in your customers’ mother tongues is a very important element of success in chances of entering and competing successfully in an international market.
Here, we’ll walk you through the features to prioritize, the benefits for businesses and customers alike, and how it fuels growth in a competitive global market. Check for features such as: API or native integration with your help desk or CRM. Simple onboarding processes for your team. Supporting larger teams as your staff grows.
Best For Organizations of any size that want expert-built surveys, top-tier analytics, and full access to premium platforms without paying for or managing the tools themselves. It offers custom question types, logic, and multilingual support, though its analytics are more basic compared to Qualtrics.
Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Automate Price Calculations and Adjustments Utilize real-time pricing engines within CPQ to dynamically calculate prices based on market trends, cost fluctuations, and competitor benchmarks.
This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. An agent uses action groups to carry out actions, such as making an API call to another tool.
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.
Today, we’re excited to announce the new synchronous API for targeted sentiment in Amazon Comprehend, which provides a granular understanding of the sentiments associated with specific entities in input documents. The Targeted Sentiment API provides the sentiment towards each entity.
You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. Solution overview.
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The reimagining of business places the customer at its forefront and affects every aspect of the banking industry — from human resources and security to sales and marketing. Companies are either born on the cloud or have to be re-born on the cloud.” — Sheila McGee-Smith, president and principal analyst, McGee-Smith Analytics.
With the aim to democratize investment, the company provides its clients with easy access to the financial markets. Clients of Scalable can actively participate in the market through the company’s brokerage trading platform, or use Scalable Wealth Management to invest in an intelligent and automated fashion. Use Version 2.x
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Streaming APIs : The streaming APIs ( PutEvents , PutUsers , and PutItems ) are designed to incrementally update each respective dataset in real-time. This data is then ingested via the PutEvents API, which incrementally updates your interactions dataset. CreateDatasetImportJob. DescribeDatasetImportJob. ListDatasetImportJob.
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