In a KPMG US study of U.S. executives in March 2023, almost two-thirds, 65%, of those surveyed believe “generative AI will have a high or extremely high impact on their organization in the next three to five years, far above every other emerging technology.” Yet nearly the same percentage, 60%, say they are still a year or two away from implementing their first generative AI solution.

As organizations develop plans for adopting GenAI into their operations or solutions, there are a couple of options for technology leaders to consider: Companies can leverage GenAI in software tools that they use or focus resources on developing GenAI solutions on their own. This is a decision that should be made with every organization’s unique needs in mind. In the short term, it is much easier, faster — and less expensive — for organizations to leverage trusted tools with GenAI capabilities than to develop a generative AI solution from scratch.

In this guide, we’ll explore use cases for generative AI:

• Across industries
• By job function
• For data and application integration

We’ll also offer tips for proactive, secure adoption of generative AI tools, and explore SnapLogic’s exciting, results-driving, generative AI enhancements for integration and automation.