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

AWS Machine Learning

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). API gateways can provide loose coupling between model consumers and the model endpoint service, and flexibility to adapt to changing model, architectures, and invocation methods.

SaaS 130
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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. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic.

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Q&A recap: crash course in Customer Success and SaaS metrics with Dave Kellogg

ChurnZero

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98
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Customer Success is Changing: Top SaaS CEOs Reveal What’s Ahead

ChurnZero

Top SaaS CEOs Talk Compensation, Automation, and Investors. No one knows what the future holds (as 2020 has made abundantly clear) but that didn’t stop us from asking top SaaS CEOs what’s next for Customer Success. Will the Customer Success and Sales roles converge, especially for large enterprise accounts?”. “To

SaaS 93
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10 Must Haves for Cloud-Based Customer Engagement Platforms

Aspect

A single platform approach allows for seamless transitions from automated to live service and a tighter, easier integration with enterprise systems and workflows. A Rich Set of APIs for External Integration with CRM Systems and Enterprise Data Sources. Personalized, Role-based, User Desktop.

APIs 107
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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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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

To enable the video insights solution, the architecture uses a combination of AWS services, including the following: Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at scale.