Following a stellar 15-year trajectory on complex sales, presales, and implementation engagements with the largest banks, telco operators, retailers, and public sector entities in Adriatic Region, Rosanda today is the Managing Director of SAS Institute, leading the business development, growth strategy and revenue performance of SAS in the region. Before that, she was covering different presales, implementation and development roles in SAS and ASSECO SEE. Rosanda is a highly motivated, customer focused leader, engaged in building high performing cross-functional teams, partnerships, and operations based on extensive IT and sales expertise. She focuses on the qualities of collaboration, talent management, added value creation and, above all, exceptional integrity, while being on top of multiple P&L, channels, and objectives at local, country, and regional level. Upon these values, she is the trusted advisor of business C-level executives, bridging the gap between management, IT and business lines in order to define appropriate solutions and help increase value by mapping business requirements to the correct skills, technology, resources, data and processes. Her main areas of expertise are Customer Intelligence, AI, Data Management and Governance, and Digital Transformation. Over time, Rosanda has gained a holistic understanding of various business challenges through extensive experience in managing C-level business relationships. She holds MSc degree in Information Systems and Technologies from University of Belgrade, Faculty of Organizational Sciences.
Imagine a future where we can completely remove the IT/Hardware/platform “problem”! And just focus on what you are hired to do! Transforming structured and unstructured data into analytical insights. Build and test models in your preferred programming language, whether that’s SAS, Python or R. Having JupyterHub installed out-of-the-box for immediate access to Jupyter notebooks. Finally, Deploy models to the destination of your choice – no recoding necessary – and monitor performance over time. Automate model life cycle phases by using an embedded CI/CD approach. Responsible AI Elements like data privacy, model interpretability and fairness monitoring, along with automatic explanations of data and models written in business language, designed from the start... Imagine all that ready and available within the hour, so you can do what YOU do best… Truly advanced analytics.