Accountability Best practices Big data SaaS 
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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CustomerSuccessBox
OCTOBER 4, 2021
SaaS businesses aim at being customer-centric. SaaS businesses aim at being customer-centric. Also, how to make sense of the data that you see, how to plan the day to manage your portfolio of accounts effectively, and increase the retention rate. How to track Product Adoption for Accounts and much more.
ChurnZero
OCTOBER 22, 2020
Integration with voice of the customer and account-based marketing platforms will help with these goals. 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.
CustomerSuccessBox
MARCH 14, 2022
Description: “Be more data-driven!” Surprisingly, those same SaaS executives routinely make bad decisions simply because they misinterpret their data. Becoming data-driven isn’t about using data–it’s about using data correctly. That’s the mantra from the senior bosses, but what does it mean? Enroll here.
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 .
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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