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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. Finally, you can build your own evaluation pipelines and use tools such as fmeval.

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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. Related: What Is Configure Price Quote Software?

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MLOps foundation roadmap for enterprises with Amazon SageMaker

AWS Machine Learning

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. Building an MLOps foundation that can cover the operations, people, and technology needs of enterprise customers is challenging.

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Customer Success Dashboard KPIs: Nine CS Metrics To Track

Totango

Customer Success Dashboard Metrics: Nine Top KPIs You Need to Monitor. But the number of customer success metrics SaaS providers can track is extensive. Then we’ll look at nine of the most critical SaaS customer success metrics to monitor to ensure that your CS strategy achieves the intended results. Revenue churn rate.

Metrics 96
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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

Large enterprises are building strategies to harness the power of generative AI across their organizations. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence. What’s different about operating generative AI workloads and solutions?

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Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs

AWS Machine Learning

a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. Enterprise graphs can require terabytes of memory storage, requiring graph ML scientists to build complex training pipelines. GraphStorm 0.1

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The crucial nuance behind seven top Customer Success metrics for SaaS companies

ChurnZero

Some Customer Success metrics are considered standard but there’s often more than meets the eye. Sales and marketing professionals that geek out on metrics can find themselves in deep philosophical debates about the best numbers to track. There is often more than one way to calculate a given Customer Success metric; Gaming.

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