Brianna White

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Jul 30, 2019
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Creating a successful AI-based solution is different from regular software development because how it will operate in a real-world situation isn’t easily predicted. Development is an interactive process that requires extensive testing to ensure it will work well with a company’s existing workflow and deliver a worthwhile return on its investment. As such, effective implementation requires an iterative approach that usually takes more time, effort, and money than traditional software efforts.
Artificial intelligence is the key that can unlock a new generation of automation and productivity for businesses. That’s well-understood by now. But the development of AI can also help drive companies’ sustainability efforts — something increasingly important to today’s workers. The organizations that already know all this are the ones who will start to pull ahead from the pack. Companies that want to stay competitive need the benefits that an AI workflow brings to be able to move fast, adapt, and innovate.
However, AI implementation can sometimes seem easier said than done. Too often, money is spent on new AI software that integrates poorly with existing workflows and leads stakeholders to wonder why the business ever bothered with AI in the first place. These events are common enough to make many business leaders have second thoughts about kickstarting their own AI workflow initiative.
These failures aren’t due to any inherent flaws in AI’s potential. Rather, they’re most often due to a misunderstanding of how the development of AI differs from that of standard software. While some extra costs and risks come with AI development, the benefits always outweigh those risks with the right implementation.
Continue reading: https://ceoworld.biz/2022/10/26/how-to-successfully-incorporate-ai-into-your-workflow/
 

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