This webinar, run by our partner Sistek, will be held in Turkish.
Fraud detection in the insurance industry is usually built on two structures. One of them is the ML based algorithms that detect the fraud attempts, the other one is the rule sets that are created based on the experiences of the Claim Department. Although these methods handle detecting the problem and can generate a solution for individual frauds, organized fraud attempts are still a big and complicated problem for the insurance industry.
Detecting and taking precautions for all fraud attempts is difficult. Traditional ML algorithms or database queries are often not sufficient. These traditional methods need to be enhanced; the application of network-based solutions creates a great opportunity to detect relations between any participants of a claim file and blacklisted fraud individuals and organizers.
In this webinar, we will summarize investigating a claim file participant for organized fraud connections using KNIME network nodes with a shortest path algorithm combined with a rule set and ML fraud detection algorithms.
Mehmet Abaci – CIO - Anadolu Sigorta
After earning his degree in engineering from METU in 1991, he started to work as a software developer and took various executive roles at Türkiye İş Bankası, Softech Software. With 30 years of Information Technology experience and knowledge of the banking and insurance industries, he has taken on important roles in a wide range of projects including Software and API Development Platforms and Methodologies, Mobility, Big Data, Business Intelligence, Compliance, Cloud Computing, Robotic Process Automation (RPA) and Machine Learning and Artificial Intelligence (AI). He has been as Assistant General Manager of Anadolu Sigorta since 2012.
Vedat Güneş – BI and Analytics Manager - Anadolu Sigorta
After earning his degree in engineering from Marmara University in 2005, he began his career as a software developer. He has worked in different roles in various industries such as the beverage, telecom and insurance industries. With 15 years of data and analytics experience, he has held his position as Business Intelligence and Analytics manager of Anadolu Sigorta since 2019.
Onur Özcan - Application Architect - Anadolu Sigorta ICT
After graduating in engineering from Koç University in 2010, Onur worked as a business intelligence engineer. He has been employed in various industries like health, pharmaceutical, finance and insurance. With 10 years of experience in BI, DW, ETL, ML and AI projects; he has been served as Chief Data Analytics architect since 2018 at Anadolu Sigorta.
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Download the latest free, open source version of knime here: knime.com/download