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Data Science

As data sets explode and AI methods develop at breakneck speed, organisations face the challenge of transforming data into actual value. Many have access to large amounts of information but lack the expertise to analyse it effectively, choose the right AI methods for specific problems, or ensure that algorithms are transparent and ethical when used in critical decisions. At the same time, modern applications – from satellite surveillance to predictive maintenance – require not only advanced statistics but also an understanding of domain-specific challenges, privacy protection and explainability in AI systems.

RISE helps you navigate this complexity by combining deep technical expertise with experience from real-world applications. Working closely with you, we develop tailor-made AI solutions for computer vision, natural language processing and privacy-preserving analysis of sensitive data. We evaluate the transparency and ethics of your algorithmic decision-making systems and create decision-making tools where scalable data platforms and advanced visualisation tools make complex data accessible to your users. As your partner, we support you with expertise ranging from satellite-based remote sensing and geospatial analysis to AI for material design and chemical research.

Hanifeh Khayyeri

Avdelningschef Datavetenskap
+46 10 228 42 31 Read more about Hanifeh

Contact Hanifeh

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Expertise in Data Science
RISE brings together expertise in deep learning, computer vision, NLP, geospatial analysis and transparent AI. Our experts help you choose the right AI methods, ensure explainability in critical decisions and handle sensitive data with privacy protection.
Expertise

GIS & Remote Sensing

GIS and Remote Sensing are tools that can be used in projects that deal with, for example, population growth, heat loss, urban heat islands, gathering population opinion about certain areas using geographical location, urban density, suitability analysis, land usage etc.
Expertise

Data Collection

RISE drives the development in data collection to increase and simplify collection and understanding of available data in industry and society. This enables better decision-support and awareness of ongoing events. By identifying missing data and correlating it with available data, we build the transformation from data to information and see the knowledge beyond the noise. We therefore simplify the understanding of the chain of events for both man and machine.
Expertise

Sustainable ICT

Rising energy consumption throughout the product life-cycle in combination with corresponding increasing emissions of greenhouse gases and waste are well-known consequences of a modern digital lifestyle. RISE is dedicated to make a difference to make ICT (Information and Communications Technology) more sustainable.
Expertise

Evaluation and visualization tools

Data-driven digital decision support using interactive evaluation and visualization tools that quantify and visualize the effects (or non-effects) that arise from, for example, changed processes, the introduction of innovations and new solutions, interventions etc. are requested by many municipalities and other public sector actors.
Service

Prototyping for digitalised sustainability data

Through a collaborative work process where people with different areas of expertise work together to improve the management and analysis of your sustainability data, you will gain new insights into what your sustainability data actually tells you.
To service
Project in Data Science
Through research and development projects, RISE drives the development of data science forward. From explainable AI models and privacy-preserving analysis to satellite-based remote sensing – here, solutions are created that make complex data accessible and valuable.

Why RISE

01

AI and machine learning

– Development of AI solutions from deep learning to generative models, with a focus on real-world applications in industry and society.
02

Transparent and ethical AI

– Evaluation and development of explainable algorithms for critical decisions in areas such as insurance, health and the public sector.
03

Data analysis and visualisation

– Conversion of large data sets into insights through advanced statistics, signal processing and interactive visualisation tools.
04

Remote sensing and geospatial data

– Satellite-based monitoring and GIS analysis with machine learning for the environment, agriculture and urban planning.
05

AI platforms and infrastructure

– Access to scalable computing environments and expertise in edge computing for efficient and sustainable AI development.