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Guide To Leveraging AI Tools For Customer Success Managers

User Pilot

A powerful AI tool can be the perfect companion to your customer success platform. In this article, we will explore: How to leverage AI tools for customer success and retention. How can customer success managers address the challenges and concerns around AI when it comes to providing a better user experience?

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Unveiling the Future: A Comprehensive Whitepaper on Agile Monetization

Blulogix

Here’s a glimpse of what to expect: Foundational Principles: Revisiting the core principles of agile monetization, the whitepaper lays the groundwork for understanding the shift towards more flexible, customer-centric revenue models. The whitepaper is available for you on BluLogix.com, no registration required.

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Predictions for 2019

Tom Tunguz

Startups begin to siphon off important but underserved segments of SaaS incumbent’s customer bases. This will occur in all major SaaS categories, products serving VPs of Marketing, Sales, Engineering, and Customer Support. Data engineering is the new Customer Success. Machine learning fades as a buzzword.

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Top Global SaaS Trends You Should Know with Google Cloud and Zenoss (Video + Transcript)

SaaStr

In the last two years there have been so many new services around security, around machine learning that literally did not exist. What about compliance? Things like customer-managed encryption keys. And we do that together with our customers and partners. Just two years ago what type of services you had.

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Revealed: How Conversation AI and ChatGPT solve Remote Work challenges for Compliance & Risk Teams

SmartKarrot

AI for compliance refers to the use of artificial intelligence (AI) technologies to improve compliance processes and ensure adherence to legal and regulatory requirements. AI can be used to automate compliance-related tasks, detect and prevent compliance violations, and provide insights into compliance risks and opportunities.

ChatGPT 10
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Revealed: How Conversation AI and ChatGPT solve Remote Work challenges for Compliance & Risk Teams

SmartKarrot

AI for compliance refers to the use of artificial intelligence (AI) technologies to improve compliance processes and ensure adherence to legal and regulatory requirements. AI can be used to automate compliance-related tasks, detect and prevent compliance violations, and provide insights into compliance risks and opportunities.

ChatGPT 10
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14 Best Customer Analytics Platforms in 2024

User Pilot

Totango is a customer analytics software focused primarily on customer success and churn reduction. It uses quote-based pricing and includes enterprise features such as custom roles, permission management, premium integrations, priority support, activity logs, security audits, SOC 2/GDPR compliance, and more.