Given the range of positive and negative implications of GenAI, you may be wondering how you should feel about this technology.
Bechtel says the answer lies in finding a balance between the two ends of the spectrum. “The problem is hyperbole in both directions,” Bechtel says. “Being overly enthusiastic and being skeptical won’t help; it’s about figuring out how to use these tools so that they’re just really helpful.”
To help businesses prepare to use GenAI to their advantage, the report's authors highlight various areas that companies can focus on.
The first area involves keeping corporate argentina mobile database in order. GenAI models are trained on large amounts of data, which can then be used to perform a number of actions, such as creating a searchable database.
However, to effectively implement this process or any of the next-generation use cases, companies need to ensure the right data architecture and accessibility for AI applications, the report says.
Another important aspect to consider when implementing generative AI is administration. GenAI, no matter how intelligent, is prone to hallucinations and other errors that could put the business at risk. Therefore, businesses should set up proper guardrails in advance to prevent mishaps and ensure maximum productivity.
“AI cannot scale without effective administrative guardrails,” the report says. “The administrative system must align with the business vision, identify potential risks and capability gaps, and verify performance.”