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Navigating the world of generative artificial intelligence for enterprise is no easy feat. Rather than diving into something head first and unleashing it into your organization, here's our systematic and intentional approach.

Human beings are messy and unpredictable. That’s because our thoughts and actions are determined by how we feel. If you want to understand what motivates your customers to take action and move forward with your organization, you must unearth the motivations behind those emotions. That's where enterprise Data as a Service companies come into the mix.

If you're hesitant about the impact generative AI could have on your customer's experience, you're not alone. Wielded poorly, AI could cause CX to suffer by: * Sharing inaccurate or misleading information * Lack of personalization * Infusing ethical concerns or bias * Insufficient human touch * Overreliance on automation Building a strategic approach can help you overcome these hurdles and lean into the benefits AI has to offer enterprises. Here's how we're approaching it for our clients: https://lnkd.in/gHbtgeXG

Generative AI has a lot of potential for enterprise — potential for increased efficiencies or potential to erode employee and customer experiences if not wielded correctly. Here's our take on how to approach this emerging technology the right way.

Modern organizations know that there's never an end to planning how to reach new buyers. With so many macroeconomic elements changing, how are you adjusting your customer journey funnel strategy?

Where attention goes, money follows. To stand out, you must offer something compelling that will stop their scroll, stop their steps, and start getting them to notice your brand. And to find out what that something compelling is requires an empathetic lens found via qualitative data. Check out how we gather deeper insights via qualitative data here: https://lnkd.in/grW4psdN

Without qualitative data, enterprises rely on teams using their gut feelings rather than strategic insights. With qualitative data, enterprises have the tools needed to unlock a whole new path pushing them up the S Curve of Growth.

If your organization has seen a slowdown over recent years, you have two options: 1. Double down on failed tactics 2. Innovate based on the lessons learned We probably don't have to tell you that option one usually doesn't end well. Option two, however, has the potential to push you up the S Curve of Growth with fresh strategies to keep your brand relevant in today's quickly changing market. Learn more about how we approach this shift up the S Curve of Growth here: https://lnkd.in/gEwCDKqp

With the speed of innovation today, more companies are at inflection points along the S Curve of Growth. Do you know how to spot where your company is, so you can react in a way that builds sustained momentum rather than leads your enterprise into stagnation or worse?

Is your organization feeling the overwhelm of generative AI this and generative AI that? Perhaps one reason there’s so much hesitation around generative AI is that few organizations know how to manage it effectively. Where does it fit in? Will it replace jobs? Whose job? How will it impact the current processes? Why rock the boat if everything is currently smooth sailing? These, and loads of other questions, are what we aimed to answer in our blog post on navigating generative AI for enterprise. Grab a cup of coffee and put up your Do Not Disturb on Slack, so you can dig into how to approach AI as an enterprise here: https://lnkd.in/gHbtgeXG