On 17th May, Aiviq hosted our latest roundtable event, gathering some of our industry’s most forward-thinking leaders across 10 major asset managers to discuss the transformative power of AI for sales and marketing enablement in asset management.
The roundtable featured remarkable insights from seasoned business and technology leaders, sharing their real-world experiences, early success stories and live projects as they integrate AI within their organisations.
Jeremy emphasised the transformative potential of ChatGPT and large language models, whilst stressing the significance of establishing a solid core of data for accurate decision-making. One example related to the real-time transcription and structuring of meeting note data for client sentiment analysis and to feed existing propensity and prediction models.
“The value of external data increases exponentially when it is connected with accurate internal datasets.” Jeremy Hunt, Head of Client Insights Unit, Schroders
Jet captivated the audience by walking through State Street’s success in leveraging advanced statistical analysis and data science to build self-adjusting AI models that shattered conventional sales and marketing assumptions. In an example related to an ETF fund range, these models successfully attributed $2bn of inflows to recent digital marketing engagement from institutional investors where there was no prior sales relationship.
Greg Glass, Exec Director & Head of Revenue,Aiviq, underlined the importance of bridging the theory-practice gap, reminding the audience that “the devil lies in the details.” This resonated with attendees, emphasising the need for meticulous execution when implementing AI in a secure and responsible way.
Throughout the event, speakers stressed the symbiotic relationship between business sponsorship, user adoption and data accuracy in driving successful AI implementations.
This enlightening roundtable event provided a glimpse into the future of AI-driven distribution and is already seeing teams rethink their strategies and operating models and project prioritisations to generate meaningful business outcomes.
As the asset management industry continues to be revolutionised by AI, the path to success lies in embracing its potential and confronting integration challenges collaboratively.