Electric Guitar CEO discusses joint venture with Exelia to build new AI-driven products
Proactive - Interviews for investors08/01/24 • 5 min
Electric Guitar PLC (AIM:ELEG) CEO John Regan talked with Proactive's Stephen Gunnion about Marcomms.ai, the company's new joint venture with Exelia Technologies Limited, focusing on AI-driven products. He explained that Electric Guitar PLC aims to capitalise on changes in digital advertising caused by new privacy legislation and shifting attitudes. The company's recent acquisition, 3radical, has technology that adapts website content based on user behaviour to enhance customer engagement and return on investment (ROI). Regan highlighted the importance of processing data to build algorithms that can predict user needs and tailor website experiences accordingly. The joint venture with Exelia, a company specialising in machine learning and AI, aims to leverage over a billion data points collected by 3radical to develop advanced algorithms. These algorithms will help advertisers and marketers better understand and cater to their website visitors, improving the overall user experience and boosting ROI. One key market opportunity identified by Regan is the growing focus among CMOs on gathering first-party data and enhancing website visitor experiences. The new AI algorithms will be integrated into the existing 3radical Voco platform and offered as a standalone product to other users. Regan also mentioned the development of their first product with Exelia, which aims to deliver significant insights within the next three months. For more updates and insights from industry leaders, visit Proactive's YouTube channel. Don't forget to like the video, subscribe to the channel, and enable notifications for future content. #ElectricGuitarPLC #JohnRegan #AIProducts #DigitalAdvertising #DataPrivacy #3radical #MachineLearning #CustomerEngagement #ROI #Exelia #ProactiveInterview#ProactiveInvestors #invest #investing #investment #investor #stockmarket #stocks #stock #stockmarketnews
08/01/24 • 5 min
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