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On the AlphaSense platform, this reality rings true as we noticed an over 50% increase in documents mentioning “duediligence” over the past year. Once an arduous and time-consuming task, the dawn of artificial intelligence (AI) and generative AI (genAI) has transformed the way venture capital investors conduct duediligence.
August Jackson , senior director of Market and Competitive Intelligence with Deltek , moderated the panel after delivering his opening address, where he analyzed the competitivelandscape as technology continues to evolve. . He stated that AI has, and will continue, to influence competitive intelligence in two ways. .
Traditional duediligence for start-up investors has historically been riddled with inefficiencies—tying up resources to sort through countless documents and copious amounts of data, and manually crafting market comparisons and performance. There is no doubt that generative AI has emerged as a powerful tool in the investment space.
To stay competitive in the current economic climate , companies need to conduct comprehensive and efficient market research. Likewise, executive leadership must have a thorough understanding of the competitivelandscape they are operating in while staying keenly aware of evolving consumer trends.
Through the use of complex algorithms , AI sifts through large datasets , identifying potential drug candidates and biomarkers much swifter than by manual means. Further, AI’s predictive modeling algorithms refine drug target validation, thus reducing the attrition rates during the expensive clinical testing phases.
Relevancy Algorithm AlphaSense’s advanced algorithm also eliminates noise (i.e., These insights are crucial for understanding competitivelandscapes and market dynamics. Companies and professionals rely on Hebbia to streamline and automate their research and duediligence processes, without compromising on accuracy.
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