Sharon is a former Senior Functional Analyst at a major global consulting firm. She now focuses on the data pre-processing stage of the machine learning pipeline for LLMs. She also has prior experience as a machine learning engineer customizing OCR models for a learning platform in the EdTech space.
In our current technology-driven era, data is considered extremely valuable. Yet, data often goes unused or underutilized. The reasons vary, but…
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Transparency in AI is a major hurdle for businesses, particularly in the financial services industry. Generative AI (GenAI) models, particularly non-deterministic…
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As AI adoption grows, so do the associated risks, including errors, biases, and unexpected outcomes. However, as AI becomes more integral…
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This interview analysis is sponsored by Medable and was written, edited, and published in alignment with our Emerj sponsored content guidelines.…
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Elevance Health is a health insurance provider headquartered in Indianapolis, Indiana. It was founded 20 years ago as a merger between…
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Technological advancements have contributed to an increase in more efficient and sustainable transportation solutions. Predictions made decades related to autonomous vehicles…
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Business processes are defined in large part by the data within an organization. Value-driven data, by definition, represents higher-quality data. The…
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