On the 14-15th of December iFactor and its partners want to spark interest to enhance
more AI-driven technologies into the financial sector.
The growing scope of AI has made it one of the most popular themes at hackathons
worldwide. A hackathon is the perfect platform to meet other AI enthusiasts and build
innovative solutions towards optimizing industries.
AI is a global opportunity, focusing the attention of the data science and business
communities on how our most cutting edge tools can deliver a brighter future for us all.
We want to collaborate across nations to make game-changing innovations in AI. The
need for more personalized machine interactions in every sphere of technology has led
to the invention of many new hacks in the domain. When it comes to innovations in AI,
the sky’s the limit.
Developers, data scientists and business individuals of all backgrounds and skill levels are
encouraged to submit projects. Also, pre-existing startups, SMEs or corporate teams can
join. Recommended, but not mandatory, for all team members, is a general to deep
knowledge of AI systems.
We are aiming towards teams of 1-3 developers, 1 data scientist and someone with business
experience. We recommend a captain with a full team of 5 to 6 members with a diverse set
To note that the teams should consists of people that can quickly adapt to change, as
during our hackathon you will be experiencing time pressure in a dynamic environment.
All team captains have to fill in an application form covering all team roles, clear motivation
and their ideas.
The Ai in Finance team will then curate the applications and lead a discussion with the
captains of best applications for an interview call. We will then select the top 10 teams
based on the team’s motivation, ambition, and expertise.
Retail banking – Private banking – Payments – Insurance
Capital markets – Investments – Asset Management
[Risk Assessment, Wealth Management, Insurance, Customer service]
[Customer service, Asset Allocation , Capital Allocation, Matching Supply & Demand]
[Risk assessment, Compliance]
[Risk Assessment, Wealth Management, Insurance]
[AI bringing scale and efficiency to different sectors through capacity of analyzing unstructured data, process large volumes of information and do things that humans can’t do on their own]
1. AI/ML Machine Learning algorithms:
a. Supervised learning:
b. Unsupervised learning:
c. Reinforcement learning
2. Deep Learning
3. RPA Automation ( Robotic Process Automation)
4. NLP ( Natural Language Processing)
5. Computer Vision
8.30 – 9 AM – Registration
9 – 10 AM – Kick-off
12 – 1 PM – Lunch
4 – 7 PM – Mentor / Pitch Meetings
9 – 10 AM – Kick-off & questions
12 – 1 PM – Lunch
2 – 5 PM – Mentors will freely go among the teams and provide feedback
5.30 PM – Demo Night Intro
6.00 PM – Start Pitches (10 – 12 teams)
8.00 PM – Winners & After-drinks
We have arranged for a number of 6-8 mentors to help and guide the teams
through the process of building a viable product foundation.
The mentors will come from the online, tech industry, financial and startup
industry so they have a good understanding of the goal and how they can
better assist the teams.
Whether it’s development, AI or business acumen, we will cover all areas of a
The jury will be formed out of experts in the financial services, AI, banking
and online fields.
We are more than excited about the interest our corporate partners have in
new technology and looking forward to see their representatives’ take on
the MVPs our team will create.
During the event members representing accelerators will also be present and they are scouting for teams to join the next batches.
BCR InnovX Accelerator
Startup Grow Pad by KPMG & Spherik Accelerator
From local associations to corporate entities, we are proud to bring our partners together
under one roof to fuel the innovation of AI in finance.
Startup Grow Pad