The world doesn’t lack information or ways to store knowledge - our problem is to find and use the right information’s to do better. Better decision making considering our environment, better understanding of each other and better governance to make informed decisions that make our world a safer and greater place.Our AI & Data Science Innovation Program aims to achieve these goals as quickly as possible.
Artificial Intelligence and its applications have many different use cases – to create sustainable solutions that help our economy, society and environment, in the last edition we created the following challenges with our providers.
BMW Group: Joy through diversity at the BMW Group
How can we reach more diversity in the working environment & create inclusive communication with AI & Data Science?
Dentons: Accelerating ESG-related legal research technology
How can an AI-based solution/application successfully automate and individualize screening, analysis, and visualization of ESG regulations relevant to specific stakeholders?
Fraport AG: Accelerating Cyber Intelligence powered by AI How can AI & data driven solutions support us identifying security threats & breaches or automatize analyzing vulnerabilities?
SIXT: The Future of Smart Fleet Management
How can AI & data driven solutions support Sixt optimizing existing business models and foster greener mobility with data analyses?
You may have seen many of the headlines in our picture. Funny and sometimes dangerous failures of software that show us:
Humans aren’t perfect, and machines certainly aren’t too.
One reason for these failures is the data the algorithms received. They often showed biases that we humans have for recruiting and lack the needed information for certain actions. This, of course, could be fixed by better data collecting and filtering of the data before giving it to the algorithms. This brings us to the second reason for these failures.
The Developers Community is very homogenous, so they don't have the eye for certain topics. With more female and BIPOC programmers or people that working in different field, the chance of finding failures in the early stage of software development would be higher.
So let us bring light into the world of AI & Data Science and create divers teams, that can overcome the following challenges with their ideas and solutions!