Help everyone in your company understand key generative AI terms, and what they mean for your customer relationships. Fun fact: This article was (partially) written using generative AI.
Companies are investing in data technology, and hiring more C-level data execs, than ever. So why do so many of them say they struggle to be data-driven?
By making CRM a core part of their advertising and digital marketing strategy, brands can deliver a personalised customer experience and get better ROI on their campaigns.
In a world powered increasingly by AI, the responsible uses of AI have become the need of the hour. Here's a blueprint for developing AI that's ethics-based..
It’s not a stretch to say generative AI in email marketing is a hot-button topic. You’ve probably heard some version of the following about how the tool is transforming the field: “Welcome to the future…
Do you have a to-do list of pesky tasks lingering over you? We’re talking about the ones that must be done to execute a campaign: gathering and analysing data, creating catchy email subject…
New research reveals that marketers estimate generative AI will save them over five hours of work per week – the equivalent of over a month per year*. Yet, while they see the technology as transformative to their role, marketers also note the need for human oversight, trusted customer data, and training as critical to successfully use it.