Buy-Side Firms Turn to AI for Efficiency Amid Barriers to Adoption

Assuming that automated artificial intelligence holds the key to unlocking fragmented datasets, the absence of standardized models coupled with regulatory concerns remain barriers to adoption.

Artificial intelligence

Buy-side firms are allocating more of their budgets to manage the influx of complex data—aggregated across various business lines throughout the front-to-back office and in multiple formats. Managing the data is proving to be a colossal challenge for the industry, bringing with it a significant drain on time and resources.

“It’s the million-dollar question. I think it’s so complex, and we make it more complex. The world is evolving. It used to be [whether you] could deal with voice [-related

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Back to basics: Taxonomies, lineage still stifle data efforts

Voice of the CDO: While data professionals are increasingly showing their value when it comes to analytics and AI adoption, their main job is still—crucially—getting a strong data foundation in place. That starts with taxonomies and lineage.

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