Challenges
ACE AUEB, brings together the most critical challenges regarding the technology of AI as a means to find innovative solutions. Below you may discover the thematic areas of challenges that you are invited to address, either by participating in the Sponsors’ Challenge Track or the Open Track!
Sponsors’ Challenge Track
Open Track
Here AI innovation meets real business needs. Sponsor companies present real-world challenges from diverse industries, from energy and finance to retail and gaming. Teams are invited to co-create practical AI solutions with direct market impact and mentorship from industry experts.
Your idea, your AI innovation! An open space for creativity and experimentation. Participants can propose their own AI-powered concepts across any domain and turn their vision into reality.
Open Track
See the general thematic areas of potential challenges below, and utilize them as food for thought for your own entrepreneurial AI-driven solution!
You think your idea may not fall under any of these thematic areas? That’s OK! You can still apply!
Social Sensitivity & Accessibility
Harness the power of AI to address societal issues and promote inclusivity. This can involve creating tools that help differently-abled individuals navigate their environment, applications that combat social biases, or platforms that connect marginalized communities with essential resources.
Fintech
Innovate within the financial technology space by integrating AI to streamline processes, detect fraud, or provide insightful analytics. Ideas can include AI-driven investment platforms, chatbots for banking, or credit scoring models that leverage machine learning.
Cybersecurity
Use AI to bolster cybersecurity measures. This could mean developing intelligent threat detection systems, predictive analytics for identifying vulnerabilities, or AI-powered authentication mechanisms that ensure data protection.
Telecommunications
Revolutionize the telecom sector by introducing AI-based solutions that optimize network operations, enhance customer experience, or predict maintenance needs. Proposals might include smart routing systems, chatbots for customer support, or predictive analytics for network optimization.
Retail & Ecommerce
Transform the retail and ecommerce landscape with AI-driven tools. Participants can develop recommendation systems, inventory optimization algorithms, or customer behavior analytics tools that help retailers understand and engage their audience better.
Entertainment
Enhance the world of entertainment by integrating AI. This could mean creating personalized content recommendation engines, automating content creation processes, or even developing new AI-powered gaming experiences.
Sports Analytics
Leverage AI to gain insights into sports data. Participants can work on tools that provide real-time analytics during games, predictive models for player performance, or virtual training assistants for athletes.
Education
Develop AI-driven solutions that enhance the learning experience, making it more adaptive, personalized, and engaging. Solutions can range from intelligent tutoring systems, edtech apps, to platforms that use AI to provide real-time feedback.
Sponsors’ Challenge Track
See examples of up and coming business-needs-based challenges as well as previous AI Hackathon’s challenges below, and utilize them as food for thought for your own AI-driven solution!
Additional sponsor’s challenges will be included in the application form.
AI for internal processes & enterprise efficiency
Boosting productivity and optimizing internal operations through intelligent AI tools.
Examples:
AI for customer experience & personalization
Leveraging customer data to deliver personalized experiences and smarter recommendations.
Examples:
AI for accessibility & inclusion
Innovative solutions that make the digital and physical world more accessible for everyone.
Examples:
AI for sustainability, energy & environment
Using artificial intelligence to drive sustainability, optimize energy use and support green growth.
Examples:
AI for business intelligence & financial insight
Harnessing data to enhance decision-making, financial forecasting and strategic planning.
Examples:
AI for aviation & transportation
Forecasting and analysis tools that redefine the way we travel and manage logistics.
Example:
AI for retail & consumer goods
From personalized shopping experiences to data-driven portfolio optimization, AI transforms retail and FMCG.
Examples:
