Gary Drenik is a seasoned writer for Forbes, focusing on innovation in both large enterprises and small businesses through AI applications for consumer data. Since 2012, he has provided insights into innovative privacy-compliant predictive analytics and targeted marketing solutions.
It’s no secret that generative artificial intelligence has enormous economic potential—McKinsey & Company projected that the benefits could total overin value for the global economy. But the dust is still settling after a frenzy of companies investing heavily in generative AI, and many are finding that ROI remains elusive.
Ongoing training and enablement will help alleviate these worries, while also empowering teams to reap the benefits of tools. As Schreiner says, “While certain functions will be automated, most people will be augmented by generative AI, not replaced by it. To get the best results, we need to analyze its impact on employees, prepare them for the evolution of work, and bring them on the journey.”
From Schreiner’s experience, aligning people across the organization in this effort is key again—business and technology teams need to be in it together. As he explains, “IT can’t work in silos. Only business executives know the questions that need to be answered, and therefore the data that’s needed to answer those questions. Then you can properly determine the right models, algorithms, and technology to deploy.
Post-Pandemic Consumer Machine Learning Smbs Business Value ROI Investment Generative AI Paradigm Shift
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