A typical data science workflow covers the key 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.
The DSAI 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. DSAI applies this workflow in three thematic areas: Cultural Data Science, Industrial Data Science and Data Science for Public Security.
Industrial Data Science
The digital transformation provides industries with unparalleled opportunities for value creation. In this new context, data has become one of the main sources for innovation and business success. When properly tamed, the massive amounts of data companies have today can lead to enhanced business operation, costs reduction, and powerful decision-making strategies. DSAI’s Industrial Data Science (IDS) portfolio can help firms make the most of their data, to conquer the digital transformation challenges. Read more
Data Science for Public Security
The Internet is an unprecedented platform for communication, information and commerce. At the same time, it is an unprecedented platform for disinformation, fraud and criminal activity. The rapid pace of technological change makes regulation and enforcement in this digital realm difficult. DSAI cooperates with public authorities and law enforcement to make the internet safer for citizens and commerce, in three crucial areas: Digital Forensics, Virtual Asset analysis, and Consumer Protection. Read more
Cultural Data Science
Data is becoming an increasingly important resource in Cultural Heritage. AIT Cultural Data Science provides services and solutions to support digitalization in national libraries, archives, galleries, museums, as well as in academic humanities research. DSAI Cultural Data Science works with institutions worldwide to support FAIR (Findable, Accessible, Interoperable and Reusable) access to cultural heritage, provide consulting services and data analysis expertise, and implement tailor-made software solutions based on open source technology. Read more
