In their basic format, search engines operate on Information Retrieval (IR) principles and are commonly used for search.
A whopping 40% of companies report their business has taken no action on exploring or implementing generative AI (genAI), according to Boston Consulting Group.
While genAI adoption and the subsequent business value seem to be on everyone’s mind these days, many companies face real challenges to building internal momentum to kickoff an AI initiative — whether that’s leadership buy-in, a modern tech infrastructure, or sufficient data to support a clear use case.
Despite the urgency to adopt generative AI, the reality is that hasty implementation without a clear strategy often leads to failure. At Nesh, we've seen firsthand that the "Just do AI" mentality without defined goals or a robust plan leads to stalled projects and unmet expectations.
On the other hand, the top 10% of companies that are leading the generative AI race have successfully piloted and scaled AI solutions by first identifying the specific value they aim to achieve.
Ready to learn more? Get The Generative AI Pilot Playbook.
We’ve designed a step-by-step guide to help companies get started with the best practices to plan and launch your generative AI implementation.
In the guide, we’ll cover:
Proper planning ensures you set yourself and your company up for an optimal experience that avoids time waste traps and delivers success. We’ll cover the best practices for approaching your generative AI pilot, key factors to consider when evaluating your pilot, and how to sustain your generative AI implementation.
Most companies fail to move forward with GenAI because they don’t know how to identify the right use case. Forget a use case where they can derive substantial value that offers a transformative ROI. In our playbook, we’ll provide ideas for proven use cases and how to evaluate solutions to support your use case.
Generative AI pilots succeed and fail for a variety of reasons, but the ones that succeed have clear commonalities. We dive into four strategies for getting value out of your generative AI pilot or implementation, including defining value metrics, socializing the value, avoiding the in-house trap, and understanding your organization’s risk tolerance.
Once you’ve followed the guidance outlined in our playbook and launched a successful genAI pilot, what’s next?
Once you’ve demonstrated business value and selected a solution that meets your organization's needs, the next steps are equally as important to your organization's AI goals. We share strategies to sustain momentum and drive value from your Generative AI implementation as you expand and scale.
Ready to dive in? Get The Generative AI Pilot Playbook.
Efforts to derive value don’t stop at the end of your pilot or initial implementation. The real potential of generative AI starts after your pilot. This is the critical time to keep your focus on continuous improvement, growing user adoption, new use cases, and scaling to new teams.
At Nesh, we work with companies across the chemical manufacturing value chain every day to define, launch, and scale genAI pilots that leverage product insights, data, and expert knowledge to enhance customer conversations, accelerate deal cycles, and grow revenue.
Don’t miss our insights on successfully launching genAI at your organization.
Get The Generative AI Pilot Playbook now.