Remove APIs Remove Big data Remove SaaS
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How SaaS Software Can Help Sync Your Sales & Support Teams

aircall

SaaS software, also known as cloud-based software, has now gone mainstream, making it easy for teams to leverage all the software programs they need to work collaboratively, wherever they are. Let’s look specifically at how SaaS software can help sync your sales and support teams so they work together in perfect harmony.

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

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Designing generative AI workloads for resilience

AWS Machine Learning

In the batch case, there are a couple challenges compared to typical data pipelines. The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Vector database features built into other services.

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Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

AWS Machine Learning

With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera. She is also the Co-Director of Women In Big Data (WiBD), Denver chapter.

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Building the future of construction analytics: CONXAI’s AI inference on Amazon EKS

AWS Machine Learning

Our AI solution is offered in two forms: Model as a service (MaaS) Our AI model is accessible through an API, enabling seamless integration. Software as a service (SaaS) This option provides a user-friendly dashboard, acting as a central control panel. TriggerMesh is a Kubernetes controller where we use AWSEventBridgeSource (6).

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. About the Authors Anthony McClure is a Senior Partner Solutions Architect with the AWS SaaS Factory team. He has extensive experience in Big Data Analytics, Distributed Computing, and Natural Language Processing.

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Dr. Natalie’s Research Agenda and Published Research

Natalie Petouhof

Natalie’s completed and published research and soon to be published content! The As-a-Service Economy: CX and IOT Mean You Have to Deliver Great Experiences- Upcoming. Customer Experience IOT in the Automotive Industry-Upcoming. **.