FinTech LIVE Dubai: Nicholas Scott, Exinity – Keynote
Nicholas Scott, Chief Product Owner for Nemo at Exinity, speaking at FinTech LIVE Dubai, offered a detailed look at how AI is revolutionising stock investing for everyday users.
His presentation – titled AI-Powered Personalisation: Real-World Success in Enhancing Investor Experiences – focused on embedding AI and bridging the gap between complex data and meaningful decision-making.
Solving an age-old problem with modern tools
Nicholas opened by highlighting a common problem in today’s investing landscape: an overwhelming wealth of information that often leaves retail investors confused about where and when to invest.
“Despite living in an era where there’s so much information available, investors really didn’t understand what they were meant to be investing in,” he said.
Nemo Money set out to solve this by creating a stock investing app that surfaces ideas and opportunities tailored to each user’s goals, interests and ambitions.
Rather than replicating platforms that offer access to thousands of global stocks at low or no cost, Nemo Money’s approach centres on relevance, clarity and confidence.
“Our aim is to help clients find investments that match their goals and interests,” Nicholas explained, “and we’ve built features that help them become much more confident investors.”
GPT chatbots and trusted data
The integration of AI began in early 2023, when the company embedded a GPT-powered chatbot into the app.
This bot was purpose-built to answer investing-related questions and deliberately limited to exclude topics like tax, due to the app’s regulatory framework.
Nicholas noted that gaining compliance approval required careful guardrails, including storing all user interactions for transparency and oversight.
To ensure accuracy, Nemo Money enriches GPT responses with data from Refinitiv, a tier-one data provider.
“GPT-3 is brilliant,” Nicholas said, “but it’s still not very good at data.”
By combining conversational AI with verified financial data, Nemo delivers reliable answers in a user-friendly way.
The experience is further enhanced by integrating imagery from within the app, making interactions more engaging than the standard text-based chatbot format.
“We bring this experience to life,” said Nicholas, “and make it much more engaging.”
Despite these enhancements, Nicholas acknowledged that GPT chatbots are “very 2023”.
Still, the engagement metrics tell a positive story: 92% of users tried the chatbot once, 90% returned and 77% have used it five times or more.
Hyper-personalised insights at scale
Nicholas then walked the audience through newer AI features that move beyond basic chat capabilities.
One standout use case is the app’s ability to automatically analyse over 6,000 stocks daily using GPT.
Each is scored on financial health, ranging from poor to excellent, and accompanied by plain-language explanations.
“We ask GPT to explain back to the user in simple terms why it has given, say, Amazon, an ‘excellent’ rating,” he said.
The same logic applies to questions about growth potential, dividend schedules, news sentiment and more, allowing investors to make informed decisions without needing a background in finance.
User feedback suggests it’s working: Nemo Money scores 4.3 out of 5 for clarity of information and 4.1 out of 5 for usefulness in investment decisions.
Another feature analyses a user’s specific portfolio, reporting on price movements of their holdings and explaining the reasons behind them, again powered by GPT and enriched with real-time data.
For example, if a stock moves more than 2% in a day, the app identifies related headlines and sends personalised push notifications.
“While I’m being communicated about [my] stocks,” Nicholas said, “another user might be getting information about a completely different set of stocks.”
This tailored approach has resulted in high engagement, with 93.1% of iOS users opting in to push notifications.
Portfolio analysis and what’s next
Perhaps the most forward-looking AI tool in Nemo Money is its portfolio analysis feature. It not only explains why specific investments moved up or down but also gives each user a diversification score.
“Diversification is really important – especially for retail users,” said Nicholas.
Based on the score, users receive suggestions for sectors or themes they haven’t yet explored, like cybersecurity or real estate.
The goal is simple: encourage users to reduce risk through diversification without requiring a personal financial advisor.
“Now anybody can access it on Nemo Money,” Nicholas said, “with the help, of course, of GPT-3 and AI.”
Looking ahead, Nicholas teased two upcoming developments.
First, visual enhancements to the portfolio insight feature to make it more engaging.
Second, and more ambitiously, transforming the AI from a reactive tool to a proactive assistant – one that nudges users with personalised suggestions before they even ask.
“That proactive agent concept is, of course, the holy grail of many retail AI integrations,” he concluded.
From smarter chatbots to real-time, personalised stock insights, Nemo Money is positioning itself as a frontrunner in AI-powered fintech innovation, providing retail investors with tools and knowledge once reserved for institutional clients.
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