Remove Accountability Remove APIs Remove Enterprise Remove Metrics
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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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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

APIs 106
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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs 81
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Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Its AI/ML solutions drive enhanced operational efficiency, productivity, and customer experience for many of their enterprise clients. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

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Amazon SageMaker JumpStart now offers Amazon Comprehend notebooks for custom classification and custom entity detection

AWS Machine Learning

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. You can use the API operations discussed in this notebook in your own applications.

APIs 73
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The CXO dream team: ?Why marketing, sales, and CS should unite to drive growth

Totango

By empowering sales, marketing and customer success teams to work together more closely, his team can ensure initial goals and metrics are clearly understood and the appropriate milestones are transparently agreed upon.

Sales 106