I saw this coming years ago. Although AI has the potential to significantly impact the role of title abstractors, fully replacing them is unlikely in the near term due to the complexity and nuanced judgment required for the job.
IBM has for years had under development an AI with heuristic learning skills named Watson. Back in 2011, Watson competed against two human players in real time on the game show, "Jeopardy." With the ability to answer questions posed in natural language, Watson managed to handily defeat two of the show's greatest human champion players (at that time).
Since then, IBM has shifted its focus from the original Watson AI to a broader portfolio of AI products under the watsonx platform, introduced in 2023. The standalone Watson AI is no longer its primary focus; its core technologies have evolved and have been integrated into watsonx, which includes tools for generative AI, machine learning, and data management. Watsonx.ai, a key component, serves as an enterprise-grade studio for building, deploying, and managing AI models, incorporating advanced versions of Watson’s natural language processing and cognitive capabilities.
While AI can automate many tasks performed by title abstractors, improving efficiency and reducing costs, it’s not yet capable of fully replacing them. The role is likely to evolve, with abstractors increasingly relying on AI tools while focusing on high-level analysis, quality assurance, and handling complex cases. For the time being, a collaborative human-AI approach is the most practical path forward.
To quote Ken Jennings,
"I, for one, welcome our computer overlords."
Regards,
Scott Perry
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