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Americas FSI Digital Commentary: 3 Ways to Accelerate Digital Strategy in 2023

Cisco - Contact Center

As a change agent serving the financial services industry for over 20 years, it is a great privilege to collaborate with Bank, Insurance, and Wealth Management institutions to devise and execute digital transformation strategy, solve complex business problems, and leverage technology to strengthen business results.

Banking 145
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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. LangChain performs the overall orchestration and allows the search result pages be fed into the Flan-T5-XXL instance.

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InformedIQ automates verifications for Origence’s auto lending using machine learning

AWS Machine Learning

The solution automatically extracts data and classifies documents (for example, driver’s license, paystub, W2 form, or bank statement), providing the required fields for the consumer verifications used to determine if the lender will grant the loan. Main advantages.

APIs 71
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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

The benefits of Amazon Lex and Talkdesk CX Cloud are exemplified by WaFd Bank , a full-service commercial US bank in 200 locations and managing $20 billion in assets. The bank has invested in a digital transformation of its contact center to provide exceptional service to its clients.

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Redact sensitive data from streaming data in near-real time using Amazon Comprehend and Amazon Kinesis Data Firehose

AWS Machine Learning

You previously had to rely on personally identifiable information (PII) rules engines that could flag false positives or miss data, or you had to build and maintain custom machine learning (ML) models to identify PII in your streaming data. Total cost for identifying log records with PII using ContainsPiiEntities API = $0.1

APIs 84
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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning

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. Prerequisites.

APIs 103
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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account. ML engineers refine these foundational features, tailoring them for mature ML workflows. Their task is to construct and oversee efficient data pipelines.