Remove APIs Remove Finance Remove Healthcare Remove Personalization
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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Customer context Philips uses AI in various domains, such as imaging, diagnostics, therapy, personal health, and connected care.

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3 principles to tackle the emerging debt collection crisis

Talkdesk

Similarly to 40 years ago , major banks, finance companies and collection agencies are muscling up call centers to respond to the arrears crisis for credit cards, auto loans, student loans and other forms of debt. Safeguarding your clients’ personal information, data and privacy is paramount.

Banking 105
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Best Software for Speech Analytics

JustCall

Tethr provides an application programming interface (API) that allows businesses to integrate the platform with a variety of third-party solutions. Personal information and legal compliance are essential in the finance, banking, and healthcare industries. CallMiner Eureka.

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Messaging vs Chat vs Texting: Battle for the Future of Customer Service [Google Hangout]

Fonolo

Originally preferred for person-to-person communication, the past few years have seen a surge of B2C communication via messaging channels (Facebook Messenger, WhatsApp, WeChat, etc.). He leads product management for Nexmo, the Vonage API Platform. Messaging . So: How will this battle play out? Twitter: @tpgoebel. Roland Selmer.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Personalized recommendations.

Scripts 71
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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Note that multiple personas can be covered by the same person depending on the scaling and MLOps maturity of the business. Example use cases are clothing design generation or imaginary personalized images. If an organization has no AI/ML experts in their team, then an API service might be better suited for them.

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Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents

AWS Machine Learning

Despite using Amazon Comprehend to filter out personal data that may be provided through user queries, there remains a possibility of unintentionally surfacing personal or sensitive information, depending on the ingested data. Identifying users and their actions allows the solution to maintain traceability.

APIs 97