AI has shown to be a useful tool in my position at a company that specialises in company and market analysis for venture capital and corporate venture capital. I frequently filter through enormous volumes of data using AI-driven technologies to find possible startups to invest in. By evaluating market trends, analysing company profiles, and offering insights, these tools help me with market intelligence tasks. I can process this data efficiently and quickly by using GenAI, which makes it possible for me to make decisions more quickly and effectively. What once took days of manual research can now be achieved in hours.
Nevertheless, I think there’s room for improvement, especially in terms of these tools their ability to analyse websites. I regularly browse company websites in order to learn more about possible new ventures. Even though AI programs are fast at summarising simple text on a page, they frequently fail to capture the depth of these websites. For instance, a lot of websites have charts, tables, infographics, and videos that AI either ignores or interprets incorrectly. In addition, important information may be tucked away a few clicks from the main page, spread across multiple tabs, or incorporated into complicated site architecture, making it challenging for the current generation of AI tools to retrieve without human assistance.
It would be revolutionary if GenAI could process visual data more accurately, for example, by extracting important insights from charts, deciphering infographics that are embedded, or summarising video content. It would guarantee that no important data is missed during the analysis process and save time. In the same way, improving AI’s ability to navigate and extract content from deeper sections of websites would enable more detailed and automated data collection.
While Generative AI has significantly improved my efficiency, especially in handling text-based data, there’s room for improvement when it comes to multimodal analysis. Expanding the capabilities of these tools to handle videos, visual elements, and complex web structures would unlock even more potential and make them an even greater asset for market intelligence tasks.
