Vaidas Kondrackis, the Vice President for Risk Management at Kneip, a reputable provider of data management and reporting solutions for the investment and financial industry, recently discussed the company’s venture into generative AI technology with Delano. In this interview, he provided insight into the potential of AI to improve staff efficiency and enhance client services, while also emphasising the necessity for ethical and responsible use of AI. Since 2022, Kneip has been a part of Clearstream and Deutsche Börse Group.
When asked about the use of artificial intelligence at Kneip, Kondrackis elucidated that the company is exploring the potential of generative AI to enhance internal processes and client services. He highlighted the use of AI to improve staff efficiency, citing the specific example of employing large language models to review and enhance written communication within the company.
Furthermore, Kondrackis expounded on Kneip’s utilisation of AI for client services, particularly in the context of aiding asset managers and distributors with fund data management and regulatory compliance. He cited the use of machine learning algorithms to automate data flows and enhance clients’ portfolio data.
With regards to Kneip’s future plans for AI implementation, Kondrackis mentioned the company’s endeavours to harness AI for internal knowledge management and document retrieval. He also underscored the ongoing testing of AI to enhance existing processes and services, with a focused approach on information and data quality.
In addressing the challenges and risks associated with AI implementation, Kondrackis outlined several key concerns, including the potential for misleading answers, AI bias and discrimination, security and data privacy risks, regulatory considerations, and the importance of responsible and ethical use of AI.
In conclusion, Kondrackis emphasised the substantial potential of AI and machine learning algorithms to improve organisational processes and procedures, while also highlighting the need for thorough consideration of associated risks.
Finally, when questioned about Kneip’s strategy for keeping pace with future AI advancements, Kondrackis emphasised the importance of embracing AI technology to maintain competitiveness, enhance efficiency, improve customer service, and drive innovation in the fund industry.
In summary, Kneip’s approach to AI reflects a strategic focus on utilising technology to improve internal operations and client services, while also prioritising responsible and ethical use of AI. As the finance industry continues to embrace AI, Kneip’s commitment to staying at the forefront of technological advancements is evident in its ongoing exploration of AI for the benefit of its stakeholders.
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