AI in Finance and Banking
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Data and AI in
Finance and Banking
Artificial intelligence is reshaping the financial and insurance industries by making processes more efficient, reducing costs, and opening new business opportunities. A 2024 Statista report confirms this, showing that increased investment in AI infrastructure remains the top priority for financial services. Our own projects also reflect this trend, as banks use AI to speed up operations, improve security in money transfers, and optimize back-end workflows. Chatbots and robo-advisors help cut operational costs while enabling personalized offers based on customer data analysis. This not only strengthens customer relationships but also paves the way for innovative, data-driven products such as real-time microloans via smartphones.
The insurance sector is also tapping into vast data sources, including customer, claims, geo, property, and traffic data, to improve its processes. Advanced technologies like text mining, big data analytics, and AI allow insurers to analyze and connect these often unstructured data sets, leading to applications that range from fraud detection to the development of new insurance products.
Succeeding in a digital future demands a holistic approach. A well-structured data approach, such as the Data Journey, enables companies to quickly test use cases, refine them from concept to prototype, and scale them into market-ready products and services. With a strong data infrastructure and the integration of machine learning algorithms, banks and insurers can streamline internal processes while delivering tangible value to their customers.
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for Your Data and AI Needs
Leader in AI and Big Data
We have been recognised as a #1 Value Creator in Machine Learning by CRISP Research and as a Big Data Leader in Germany by Experton.
Technology-independent Consulting & Implementation
We are manufacturer-independent, allowing us to always find the right technology that best suits your unique requirements. Our experienced data engineers and data scientists work closely with you to develop customized solutions and successfully implement them in your organization.
Expert in Finance and Insurance
We have successfully completed over 2,500 AI and data science projects, including more than 300 in the banking and insurance sector.
Our case studies
Discover selected examples from our projects. Each reference shows industry-specific solutions for your unique requirements.
Our Approach:
The [at] Data Journey
![[at] Data Journey by Alexander Thamm GmbH, Data Strategy, Data Lab, Data Factory and DataOps in einem Flowchart](/fileadmin/_processed_/5/a/csm_journey_16.9_bef71ec01f.png "[at] Data Journey")
Our Digital Journey offers a holistic framework for data and AI projects, allowing us to fully understand our clients' challenges and provide tailored, effective solutions.
It encompasses four intertwined practices: Data Strategy, Data Lab, Data Factory, and DataOps. This holistic approach to planning and implementing Data and AI projects allows us to maintain a continuous overview of cutting-edge technologies and trends. Additionally, this setup provides our customers access to a qualified team of experts who can address and assist with various issues at every stage of the journey. Note that although our Digital Journey is a holistic concept, its individual components and services can also be accessed independently. Nevertheless, all areas are integrated into every project. This is how we turn data into real value.
We support your data project – from the initial idea to the final product.
Get expert advice
Want to explore the potential of AI and Data Science for your business? Interested in learning more about our use cases and technology? Talk to our experts!
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