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Streamline Sales Processes with Enterprise CPQ

Cincom

From coordinating teams to configuring quotes, enterprise companies face immense challenges keeping sales operations running smoothly. Fortunately, Configure, Price, Quote (CPQ) software provides specialized solutions purpose-built for streamlining sales in enterprise environments. Customers engage in whichever way they prefer.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

However, putting an ML model into production at scale is challenging and requires a set of best practices. The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this.

Analytics 123
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the advancements in automation and configuring with increasing levels of abstraction to set up different environments with IaC tools, the AWS CDK is being widely adopted across various enterprises. The following diagram illustrates the solution architecture.

Scripts 84
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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

In parallel, OneCompany maintains a market research repository gathered by their researchers, offers industry-specific services outlined in documents, and has compiled approved customer testimonials. UX/UI designers have established best practices and design systems applicable to all of their websites. They have 2,500 employees."

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

The majority of enterprise customers already have a well-established MLOps practice with a standardized environment in place—for example, a standardized repository, infrastructure, and security guardrails—and want to extend their MLOps process to no-code and low-code AutoML tools as well.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

Be backed by enterprise grade security and privacy tooling. Best practices to consider: This feature brings significant advantages for hosting your fine-tuned models efficiently. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API.

APIs 137
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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

Businesses are adopting new innovations and technologies to create cutting-edge solutions for their customers. Enterprises often rely on reactive security monitoring and notification techniques, but those techniques might not be sufficient to safeguard your enterprises from vulnerable assets and third-party attacks.

APIs 82