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AI in Asset Management: Buy-Side Attitudes toward GenAI and LLMs
Since ChatGPT exploded onto the scene in late 2022, financial markets participants have been trying to understand the opportunities and risks posed by artificial intelligence and in particular generative AI (GenAI) and large language models (LLMs). While the full value of the technology continues to become apparent, it’s already clear that AI has enormous potential…
The Evolution of Outsourcing Data Operations for ESG and Private Assets
Financial institutions are grappling with a substantially changed operating environment that’s placing novel pressures on their data management processes. As organisations navigate a more volatile global financial picture, many are tacking towards a multi-asset business model that demands new capabilities and expertise. They are also having to bolster their regulatory compliance capabilities, as new disclosure…
Modernizing Data and Technology for Institutional Client Services
Institutional client services providers are being expected to recalibrate their operations as their clients’ business models evolve. Higher costs, new geopolitical risks and a move towards more complex automated services has prompted their customers to seize technological opportunities that enable them to take greater control of their assets and operations. They want more agile service…
Transforming Investment Management: The Urgency to Modernize Platforms
Institutional asset managers are searching for solutions to help them navigate an investment environment that’s been reshaped by novel pressures on their business models, renewed economic uncertainty and intensifying geopolitical tensions. As they seek to address the resultant erosion of investment performance, squeezed fees and rising operating costs, they have turned to the opportunities offered…
Solving the Enterprise Data Challenge for Institutional Investors
Institutional investors are evolving under pressure from a range of emergent externalities that are prompting many to assume new roles and processes, some of which have traditionally been the preserve of asset managers. Enabled by data-led technology, they are making more direct investments and managing their portfolios in-house. At the same time, they are streamlining…
How Banks Harness the Value of Cloud for Scale and Agility
Financial services are recognizing the benefits that data-led processes can bring and are undergoing digital transformations that are putting data at the heart of their operations and decisions-making processes. They are seizing on data as an asset whose value can be unlocked through technology to increase revenue and reduce costs across the entire enterprise. With…
Achieving a 360-degree View of Risk with Data-Driven Insights and Strategies
Technology and data have reached a level of sophistication that is enabling financial institutions to calculate and manage the risks to which their activities and investments are exposed. Leveraging the two, however, is a challenge; if the data isn’t properly managed, the technology that identifies patterns and insights may be unable to operate optimally. One…
Driving Data Adoption Throughout an Organization via Self-Service
Financial institutions and corporations across the board are seeing value in the data sets they generate through their business activities. But harnessing this data to provide valuable insights for internal business teams can be a challenge. One approach is to adopt a self-serve data delivery model that empowers consumers and ensures they get access to…
Creating an Enterprise-Wide Data Fabric to Underpin Digital Transformation in Capital Markets
As they seek to adopt a data-driven approach to their business operations across the enterprise, capital markets firms need to put in place a common data fabric that embeds their single view of the truth, and to underpin analytics, reporting and regulatory processes. But legacy data systems often are not fit for purpose; often fragmented…
B2B Data Marketplaces and Beyond
Financial institutions and corporations often generate huge quantities of data as a by product of their core activities. This data – details of historical transactions, customer interactions and metadata for referring to instruments, counterparties or entities – can provide valuable insights for industry participants, and form the basis of a meaningful data sales business. But…