Let Artificial Intelligence work for you
Get a glimpse into what AI can do for you, with UseCases from RBS Services, ETHjuniors and Accenture. What are the conceptual tools we need to become effective? How to create successful applications to ease your workload? What do we need to understand before we go any further?
As always there will be presentations and workshops, as well as plenty of time to network with people across different companies and industries.
- Opening by Host 10′
- Keynotes by Experts 4 x 20′
- Start ups 2 x 20′
- Workshops 1 x 60′
- Cognitive NetworkingDinner
more will be added soon
Ryan Salton & Boris Rankov
RBS Services, InCube
Recommender systems have been widely adopted in areas such as online shopping and movie streaming. They automatically suggest new items to users based on their characteristics and previous behaviour. We will explore some use cases on how the models of recommender systems could bring benefits to the world of finance.
“Yes, I talk AI” – the AI-Alphabet for Non-Technical Human-Beings
For non-technical people the field of AI can be overwhelming and confusing. Let’s get a grip on key terms and understand the most relevant algorithms like random forest, deep learning or generative adversarial networks.
Text Analytics in Real-Life Projects
Automatic text analytics is an important ingredient in many applications: chatbots, internet search, Twitter monitoring, automatic customer support, opinion mining, etc. There are literally thousands of successful applications. We will explore how to implement text analytics projects in real life: Which problems can be solved? How good are existing technologies? And how can you run a successful text analytics project?
Applied Machine Learning to solve your back office problems
The case I would like to discuss with you is the optimization of a back office we did for a client. Suppose you have customer requests with different complexity that you receive each day, such as insurance claims, loan applications, tax returns, customs declarations, subscription to a service offered by your company.
In your team you have people with different skills and capacities. How do you divide the workload among your team members so that the processing time is small but of high quality?