Remove 2010 Remove APIs Remove Sales
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

Its sales analysts face a daily challenge: they need to make data-driven decisions but are overwhelmed by the volume of available information. They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels.

APIs 106
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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

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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Build verifiable explainability into financial services workflows with Automated Reasoning checks for Amazon Bedrock Guardrails

AWS Machine Learning

An ApplyGuardrail API call is made with the question and an FM response to the associated Amazon Bedrock guardrail. The Automated Reasoning checks model is triggered with the inputs from the ApplyGuardrail API, building logical representation of the input and FM response. To learn more, visit Amazon Bedrock Guardrails.

APIs 80
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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

SageMaker Canvas supports a number of use cases, including time-series forecasting , which empowers businesses to forecast future demand, sales, resource requirements, and other time-series data accurately. If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs.

Finance 121
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How to Evaluate Call Center Software Vendors for Customer Data Platform Solutions

NobelBiz

Understanding Customer Data Platforms (CDPs) Although similar tools existed in the past, the term Customer Data Platform was first used in 2010. Goldmine, which launched in 1990, was the first kind of software to combine contact information, calendaring, sales data, and marketing automation into one platform.

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Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning

We can also gain an understanding of data presented in charts and graphs by asking questions related to business intelligence (BI) tasks, such as “What is the sales trend for 2023 for company A in the enterprise market?” The following diagram illustrates the step-by-step process.

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. He has 10 years of experience working in technology performing several roles such as: Support Engineer, Presales Engineer, Sales Specialist and Solutions Architect. Cristian Torres is a Sr.