Totango
SEPTEMBER 1, 2022
Why Your QBR SaaS Model Needs an AI Makeover. Quarterly business reviews (QBRs)[LINK] have become a standard practice for software providers, but today’s QBR SaaS model is rapidly transforming. Here we’ll show you how to update your SaaS QBR strategy to keep up with the latest technology and best practices.
AWS Machine Learning
JANUARY 26, 2024
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
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SmartKarrot
JANUARY 12, 2021
With the growth of technology, the healthcare sector has adopted highly sophisticated technologies like Big data, electronic health/medical record (EHR/EMR) in their software products. Hence, a few trends and best practices are worth following for such companies. Customer success best practices in healthcare.
CustomerSuccessBox
OCTOBER 4, 2021
SaaS businesses aim at being customer-centric. SaaS businesses aim at being customer-centric. Major learning objectives: Big data vs. big insights Customer relationship building Converting customers into loyal customers Case studies. But how can you begin to shine in Customer Success ? Link: [link].
ChurnZero
DECEMBER 11, 2020
For instance, look at ChurnZero which provides big-data ingestion, advanced analytics, health scorin g, large-scale workflows, native integrations, and campaign automation – not to menti on t he security, scalability, and interconnecti on of all that functionality. . The Emotional Argument .
ChurnZero
OCTOBER 22, 2020
The role of Customer Success in keeping SaaS companies alive is too substantial to wing it by relying on a homegrown solution that accounts for a fraction of an outsourced product’s functionality. The sacrifice of shared industry best practices and competition-fueled innovation.
AWS Machine Learning
FEBRUARY 1, 2024
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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