Natural Language Generation: Great Promise, Significant Barriers

Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.

If only data could talk—well actually, it can.

Over the last decade, thanks to the proliferation of open-source tools, improved computing power, further cloud adoption, and major advancements in the retail space, natural-language processing (NLP) is becoming democratized, and capital markets firms are taking notice. The next evolution of NLP, though, is natural-language generation (NLG). While the technology has been around for decades, it is only in the last two years that it has begun to make

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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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