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Reinforcing Yseop’s unique footprint in the GenAI space for BioPharma, a new investment enables Yseop to expand the scope of its Generative AI offerings and accelerate its leadership position in life sciences.
Recently, Accenture released its Technology Vision 2023 for Biopharma report, which explores how the latest trends are guiding innovation in the biopharma industry. The report discusses the importance of industry leaders increasingly leaning on AI advancements, particularly Generative AI (GenAI.) 
Listen to the next episode of AI Uncovered with Sarah Tilly.
Across industries, generative AI is augmenting processes and has proven that it is here to stay – especially in life sciences. With that, it’s predicted that generative AI could add as much as $4.4 trillion annually to the global economy. In this post, we’ll discuss generative AI and the future of work and why it’s important to embrace its benefits.
The adoption of AI in medical writing has been growing in popularity. In fact, by 2030, the global AI in medical writing market is predicted to reach a value of $1.76 billion, growing at a CAGR of 12.44% from 2023 to 2030. This growth can be largely attributed to the many benefits of implementing AI. This blog will serve as a guide to understanding AI for medical writers. 
Tim Martin, Executive VP of Product & Development at Yseop was recently featured in Forbes discussing AI regulation and the EU AI Act.
Listen to the next episode of AI Uncovered with Derek Kerton.
Without a doubt, advanced AI technologies are reimagining the future of medical writing. Historically, medical writers have been faced with inefficient, monotonous processes and have been seeking a solution to save time and ensure accuracy. Enter generative AI, which uses Large Language Models (LLMs) and advanced machine learning to create human-like text, pulling from existing data and experiences to generate new content.
Generative AI has quickly emerged as a leading trend – impacting the way humans perform tasks and work across industries. According to McKinsey & Company, generative AI’s impact on productivity has the potential to add trillions of dollars to the global economy. As generative AI technologies continue to evolve, it’s important to understand the best ways to implement these models. In this blog post, we’ll address a commonly asked question: how does generative AI work? 
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