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The History of Horizon AI: Gainsight’s Market-Leading Gen AI Engine

Gainsight

In less than a year, generative AI has radically transformed the way we work, learn, and interact. This is especially true in the world of business, where gen AI has revolutionized the way we develop and work with software. Launching Horizon AI Gainsight officially launched Horizon AI in Nov 2021.

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New Research Shows the Power of Gen AI for CS

Gainsight

One of the most profound drivers of this CS evolution, like nearly every industry today, is Generative AI. In a world that prizes speed and efficiency, Gen AI promises to be the magical wand. In fact, we found that AI and humans are not at odds. Want to learn more about the history of Gainsight’s AI engine?

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How AI Transformation Impacts the Digital Marketing Industry

The Product Coalition

The expanding value of AI in marketing A recent survey reveals that the marketing and advertising industry has the highest adoption of generative AI. 37% of the 4,500 respondents who work in marketing and advertising reported using AI in their work. How is AI used in marketing? billion U.S.

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The AI buzz is Real!

The Product Cafe

💜 Welcome to this week's edition of Product Café, your weekly cup of coffee for everything product management, startups, and more. ☕ Thanks for reading ProductCafé Newsletter Subscribe for free to receive new posts every fortnight✨ AI, AI, everywhere, and every bit a game-changer! With Zeda.io

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Gainsight Announces Digital Hub, Generative AI Capabilities, and a New Digital CS Package at Pulse 2023

Gainsight

According to Rumelhart, “ Horizon AI has been a part of Gainsight’s technology for some time, but generative AI is the next frontier. At Gainsight, we’re all in on generative AI.” It’s clear that Digital Customer Success, powered by generative AI, is the next evolution of CS.

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Top Three Takeaways From the 2023 Gartner Market Guide to Customer Success Management Platforms

Gainsight

Customer Success Management has matured over the last decade to become a mission-critical practice that efficiently and effectively protects Net Revenue Retention (NRR) and fuels expansion pipeline. Traditional AI applications, such as automating routine tasks and surfacing relevant customer data, have been around for years.