AIT’s Digital Insight Lab (DIL) provides data science consulting and solutions for making informed decisions based on large, heterogeneous, and real-time data under strict conditions of IT security and data protection. The DIL is a multidisciplinary group of experienced scientists and engineers with diverse backgrounds - from data analytics, applied mathematics and statistics, to information security, and the humanities.
Collaborating with industry and academia, the Digital Insight Lab has been providing methods and tools for solving real-world data-oriented problems. Examples include:
- Analytics for understanding virtual currency ecosystems, such as Bitcoin (GraphSense, TITANIUM)
- Methods for using blockchain technology to drive data ecosystems (Data Market Austria)
- Solutions for the large-scale integration, analysis and visualization of Digital Humanities data (Pelagios, Europeana)
- Network monitoring and anomaly detection on large data sets for Cyber security (Patented AECID Technology; Projects: CAIS, synERGY)
- Cyber security incident reporting and threat intelligence analysis (CAESAIR technology; Projects: CIIS, CISA, ECOSSIAN)
Digital Insight Lab’s technical competences cover:
- Statistical modelling (R)
- Machine learning, including Deep Neural Networks (SciKit Learn, Tensorflow, Keras)
- Scalable data engineering and analytics (e.g., Spark, Cassandra, Hadoop)
- Information visualization (D3.js, Mapbox GL JS)
- Blockchain technology (Bitcoin, Ethereum, Hyperledger)
The Digital Insight Lab team provides expertise for each step in a data science workflow, which typically begins with a clear hypothesis or problem formulation and covers the following subsequent phases: data aggregation and normalization, data analytics, data visualization, as well as data publication and preservation. All these phases can be built on strong security measures, providing privacy, confidentiality, and integrity.
Members of the AIT Digital Insight Lab have a strong, international reputation in academia, organize international workshops and conferences (e.g., Data Science chair at SEMANTICS 2017, Linked Pasts), contribute to important (security) standards (e.g., OASIS CTI, ETSI TC CYBER) and are closely connected with local communities by organizing meetups (e.g., Vienna R Meetup, Deep Learning Meetup Vienna).