5 ways data scientists can prepare now for genAI transformation
Briefly

"GenAI accelerates time-to-insight, lowers technical skills barriers, and empowers teams to scale bandwidth for data-driven decision making," says Anant Adya, EVP at Infosys Cobalt. "While human expertise remains crucial, genAI acts as a potent force multiplier, augmenting human capabilities and unlocking new data innovation opportunities."
"Analytics, data visualization, and machine learning are rapidly advancing with generative AI capabilities, enabling more intuitive data interactions, automated insights, and sophisticated predictive models," says Sreekanth Menon, global head of DTAI at Genpact. "As these technologies evolve, generative AI enhances these fields by creating more accurate visualizations, simplifying complex data interpretation through natural language processing, and enabling proactive decision-making through improved predictions and insights."
Read at InfoWorld
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