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Home » Financial companies struggle to adapt to AI and blockchain advancements.
AI in Finance

Financial companies struggle to adapt to AI and blockchain advancements.

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The Future of Financial Services Technology

Inherited Technology Challenges

Many financial institutions are struggling with outdated infrastructure, hindering their ability to leverage advancements in artificial intelligence (AI). According to a recent report by Broadridge Financial Solutions, nearly half of the surveyed financial firms admit that legacy systems significantly impact their AI initiatives. Data quality and harmonization are pivotal to unlocking the full potential of technology in finance.

Investment Trends in AI and Cloud Technologies

Investment in AI and cloud technology is dominating the financial landscape, with as many as 80% to 90% of firms betting heavily on these innovations. Specifically, there is a notable focus on generative AI and enhanced cloud integrations. This shift signals a strong commitment to advancing operational capabilities and improving customer experiences through cutting-edge technology.

Blockchain and Cryptocurrency Developments

Blockchain technology and cryptocurrency are rapidly gaining traction within the financial sector. Investments in these areas are increasing as firms explore new opportunities in capital markets. Simultaneously, companies are bracing for stricter regulations surrounding digital assets, showcasing a dual approach to innovation and compliance.

The State of Digital Infrastructure

The report reveals that digital infrastructure in the financial services sector often fails to support progressive AI strategies. About 41% of leaders surveyed feel their organizations are not upgrading infrastructure swiftly enough. A staggering 46% cite inherited technologies as barriers to modernization, underscoring the urgent need for change.

Insights on Generative AI Impact

This year’s findings indicate that an overwhelming 72% of financial companies plan to significantly invest in generative AI, up from 40% in 2024. Moreover, 68% believe that generative AI will dramatically enhance employee productivity. However, only 35% expect to see a return on their investments within six months, revealing the complexities involved in adopting such advanced technologies.

Data Management and AI Integration Necessities

Effective data management is crucial for realizing the benefits of AI. The report states that 58% of firms see data harmonization as the ideal driver for maximizing ROI on AI initiatives. Conversely, 40% acknowledge facing data quality issues, indicating a significant area for improvement. Companies must focus on cleansing and organizing data to leverage AI’s full potential in the financial landscape.

Expert Opinions on Modernization Strategies

Industry leaders emphasize the importance of modernizing data management strategies. Chris Perry, President at Broadridge, noted that effective data management can break down silos and achieve the data quality necessary for successful AI implementation. Similarly, Jason Birmingham, World Engineering Manager, highlighted that consistent data across products and workflows is vital for transformation. Companies must adopt a cohesive approach rather than relying on piecemeal solutions to overcome their digital transformation challenges.

Conclusion: The Path Forward in Financial Services

As the financial services industry continues to evolve, overcoming the challenges posed by legacy systems is vital. By investing in AI, cloud technologies, and blockchain, while ensuring effective data management, firms can set themselves up for a prosperous future. The next few years will be crucial in determining how well organizations adapt to the changing technological landscape, ensuring they remain competitive and innovative.

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Fujifilm expands its financial operations powered by Eskar to OCS NZ.

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Fujifilm expands its financial operations powered by Eskar to OCS NZ.

September 8, 2025

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September 8, 2025

Sure! Please provide the title you would like me to paraphrase.

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