Data, the new oil of the digital age, is not just a resource but a powerful tool that provides insights into customer behaviour, market trends, and performance. It empowers organisations to make informed decisions, discover new opportunities, and enhance their processes. High-quality data is the key to unlocking potential and gaining a competitive edge in this digital era.
Modern digital tools, powered by data, unlock immense value. Cloud computing provides the necessary storage and processing power, while advanced analytics techniques, including artificial intelligence and machine learning, reveal patterns and insights. Data visualisation simplifies complex information into easy-to-understand visuals. These technologies empower businesses, inspire them to make data-driven decisions and gain a competitive edge.
Despite technological advancements in data collection and storage, data quality remains a significant issue. Inconsistent formats, missing information, and errors make data unreliable and difficult to analyse. Data is often stored in disparate locations, complicating the understanding and integration process. This hinders organisations from extracting valuable insights and making informed decisions.
Generative AI (GenAl), with its model capabilities of large language models (LLM), is a pivotal solution to many of these data quality challenges. Organisations can fully exploit their data potential by improving data accuracy and usability. GenAl is a significant advancement in machine learning, enabling systems to analyse and generate data. Its adoption is not just a choice but a necessity, especially for industries like healthcare, which face numerous key challenges. GenAl is the linchpin to unlocking the full potential of data in healthcare and beyond.
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DATA QUALITY CHALLENGES
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Denne historien er fra August 2024-utgaven av Voice and Data.
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