Remove Accountability Remove Big data Remove Metrics Remove SaaS
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QBR in SaaS: Is the traditional QBR dead?

Totango

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.

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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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Everything you need to know about Customer Success Software.

CustomerSuccessBox

Now that you’ve chosen to read this article, I suppose you are already aware of the weightage that the Customer Success function holds for your SaaS business. In general, this tool offloads the heavy work of tracking and managing all the customer success metrics. Benefits of having a Customer Success Software for your SaaS business-.

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What to do with a ‘Watermelon Customer’?

CustomerSuccessBox

*Julie, a Customer Success Manager , with ABC corp (a B2B SaaS firm) is excited about the upcoming annual conference. Now, the concern here is that as a CSM, you could easily overlook a ‘green’ customer account thinking it to be a healthy one! They’re a BIG churn risk. Out of 1000 data points, a mere 10-20 are monitored.

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Q&A recap: Driving customers to value during onboarding, at scale

ChurnZero

The webinar’s Q&A session covered popular onboarding questions in SaaS like how long it should take a customer to reach first value, what should you do when a customer disengages, and how to hold customers accountable at scale. For example, customers aren’t accountable. Now, you’re not accountable.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging. It was designed to restart and scale up the SageMaker Processing cluster based on performance metrics observed using Lambda functions monitoring the jobs.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.