Keen on Machine Learning. Applications of Artificial Intelligence are a hit at the High Tech Summit.
High Tech Summit participants are requested to register for their favorite events. One of the first sessions to be fully booked was the sub-track on “Big Data, Machine Learning and Artificial Intelligence”.
“Research in the field has been going on for decades, but only now do we see a steep rise in the interest from industry and society in general. My best bet is that this is all down to the quality of the solutions developed,”
says Professor Lars Kai Hansen, DTU Compute.
Lars Kai Hansen is to give a tech talk on “Machine Learning as a service – democratization of Artificial Intelligence”.
As an example, he points to a much-quoted analysis by Washington Post on the mood of the inauguration speech of Donald Trump:
“The US media carried extensive debate on the speech. Was it gloomier than previous inauguration speeches? The Washington Post was able to present detailed analysis of the sentiment of the speeches of both Trump and his predecessors. This was based on algorithms developed in our group here at DTU.”
A wave of democratization
Much as the DTU group takes pride in their software, quality is not the only factor, Lars Kai Hansen stresses:
“To be honest, Washington Post probably first and foremost used our software, simply because it was easily available to them. This is what I mean by democratization. If you look at Facebook and Google, both companies have come a long way in machine learning. They will know that you are about to catch a cold, even before you’ve realized it yourself, and will offer suggestions. But many of the tools behind don’t need to be available through third parties. They could just be apps that you download directly. And this will happen. We already see a large community on Open Artificial Intelligence.”
The democratization does not only apply to individual citizens but also to industry, NGO’s and public authorities. This is confirmed by Thomas Rosenquist of KMD:
“As an IT supplier, our main interest in Artificial Intelligence is finding ways to convert the academic research into practical solutions that benefit our clients. Previously, this hasn’t been easy, but just now things are taking off,”
says Thomas Rosenquist, Enterprise Architect for Information Management at KMD.
KMD: Municipalities ready to move
At the High Tech Summit, Thomas Rosenquist will give an industry presentation on “How KMD uses Machine Learning in administrative applications to support municipalities”.
“Just to take an example, we supply municipalities with software to aid them in management of their services to citizens unemployed or on sickness absence. Currently, such systems are mainly used to secure that legal requirements are met, but they could be used actively. Individual employees of the municipality have different strengths and weaknesses. Maybe an employee is especially good at handling a certain type of persons or problems. If such competencies are revealed and brought to better use, the whole system would become more efficient.”
The first solutions of this type are not far away, according to Thomas Rosenquist:
“There has been some reluctance to implement Big Data and Artificial Intelligence solutions. We have heard that it is “too technical” or “too much based on statistics”. But this is changing, as management begins to see how it is possible to obtain very real benefits. This is both due to the advanced stage of the field, with efficient software, and to the sheer computer power available at affordable cost.”
“It’s no use closing your eyes to the changes. We need to constantly keep up and try to influence the process.”
Professor Jan Madsen, DTU Compute