Far beyond surface-level 'chatbot' software, and other customer-facing support systems, the same generative AI (GenAI) capabilities having direct impacts across language workflows in front-office tasks in financial and legal services is also having a direct impact on how research teams in the life sciences space are targeting solutions for rare diseases and novel treatments.
As new generative AI use cases continue to reshape the enterprise landscape across the global economy, many sectors are still weathering significant risks to keep pace with the adoption hype. Deloitte's "State of Generative AI in the Enterprise 2024" report found that 79% of respondents expect generative AI to transform their organizations within three years. However, companies must approach these investments cautiously with a focus on responsible implementation.
Deploying large language models (LLMs) in an enterprise setting requires management teams to adopt a strategic approach tailor-made for their organizations, which research consistently shows must consider various essential factors.
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