The Quick Guide To Using Generative AI In Enterprises
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Generative AI has grown rapidly in the past twelve months and shows no signs of slowing down. Because of that, enterprises everywhere are starting to pay attention to what it’s capable of and how to safely incorporate it into their business.
Drawing insights from a recent webinar by one of PAteam’s trusted partners, Jonathan Yarkoni , we’re going to give you some quick ideas on what Gen AI can do for enterprises and how to get the ball rolling.?
Generative AI In Enterprise?
Generative AI isn’t just a buzzword, although you’d be forgiven for thinking that it is considering its recent rapid rise in the consciousness of business leaders. It’s actually a term that encompasses a broad spectrum of different systems and applications – all with their own uses, which can be tailored to the needs of many different businesses. That said, it can make an impact on anything from pharmaceuticals to retail, creating opportunities for productivity gains that simply haven’t been seen before.??
Building A Framework For Automation Adoption?
Despite its potential, Generative AI’s adoption comes with its share of challenges. Data privacy, security concerns, and the risk of misinformation are hurdles that everyone using the technology needs to be aware of. Enterprises must navigate these challenges carefully, always maintaining a balance between AI-driven efficiency and human expertise.? ?
Before you begin, you’ll need a comprehensive understanding of existing processes, including how they operate, what they impact, and their different touch points.??
Once you’ve clearly understood some specific processes that could benefit from Gen AI, you’ll need to start assessing the ROI of any process that you want to overhaul or adjust. You should consider the rate of return and the speed of return. Implementing a new technology needs to be seen as working quickly. Otherwise, it may not get the backing it needs to survive and become a part of the broader enterprise culture.? ?
With all that in place, you need to create a roadmap. Committing to a clear timeline with milestones and resource allocation will help you hit those milestones. You’re also going to need Gen AI ambassadors; those are stakeholders within an enterprise that can help sing its praises and give it the momentum it needs to be a success.?
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Implementation Best Practices?
For enterprises starting out on their Gen AI journey, internal use cases like co-pilot systems for employee support or customer service chatbots are usually the best place to kick things off. These initiatives offer a safer testing ground with lower risk and a high potential for faster return on time invested.?
Jonathan Yarkoni already covered how to prompt in a recent guide we published, but here is a quick summary of the key takeaways. If you want to find out more about crafting the perfect prompt to get the results you need, read the guide here.? ?
The Train To Be On?
Generative AI holds the key to unlocking new levels of efficiency and creativity. As businesses navigate this exciting frontier, the focus should be on harnessing its potential responsibly, ensuring that Generative AI serves as a tool for positive transformation.?
A 2023 poll by Gartner found that 45% of enterprises are scaling generative AI investments across multiple business functions. That trend is only going to continue to grow, and enterprises not adopting Gen AI will be left behind. That’s why a proactive approach to early adoption is so important to quickly grow understanding and make it a cultural norm within an enterprise.?
Interested in using Generative AI in your enterprise? Reach out to the experts in all things AI and automation – PAteam.?