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

AWS Machine Learning

To classify and extract information needed to validate information in accordance with a set of configurable funding rules, Informed uses a series of proprietary rules and heuristics, text-based neural networks, and image-based deep neural networks, including Amazon Textract OCR via the DetectDocumentText API and other statistical models.

APIs 71
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Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

AWS Machine Learning

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. The source or destination could be a SaaS application or an AWS service such as Amazon S3, Amazon Redshift , or Lookout for Metrics.

APIs 71
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

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Top 7 Customer Success Email Templates that your team needs!

CustomerSuccessBox

Find your access credentials and API key information below. An API key is available under xxxxxxxxxxxxxxxxx Technical Resources Also find the resources for your tech team, if they wish to review. CustomerSuccessBox is a customer success platform that helps high-growing B2B SaaS companies reduce churn and grow their recurring revenue.

APIs 52
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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

SaaS 125
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The five biggest Customer Success software implementation mistakes—and how to avoid them

ChurnZero

Hold your team accountable to the same standards as you would your vendor. SaaS product teams often plan their roadmaps at least a year in advance. Just like the scope for importing a handful of usage events looks very different from importing 50+ usage events. Allocating insufficient resources to execute.

CRM 52
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Inside Customer Success: HelloSign

Amity

I started early on in a blue-collar, manufacturing background doing account management and account services. I then lived in Mexico for a year and did some account management there, which I continued to do when I returned to Michigan. Ultimately, SaaS products should be designed to support themselves.

B2C 0