Quest Software is a data management and IT infrastructure solutions provider, and this weekly summary reviews its recent focus on artificial intelligence (AI) risk, data governance, and AI-enabling infrastructure. The company’s latest activities underscore its strategic positioning at the intersection of data management and AI adoption, particularly in highly regulated sectors such as financial services.
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During the week, Quest Software released insights from a joint report with Raconteur examining AI usage in financial services. The survey data reveals that 99% of organizations experienced financial losses linked to AI-related risks, highlighting systemic weaknesses in data foundations and governance. Only 15% of financial services and insurance firms are building robust, trusted data foundations to support continuous innovation and faster AI deployment, while 63% of respondents report insufficient data management practices for effective AI. The report further suggests that 60% of unsupported AI projects are expected to be abandoned by 2026, emphasizing the consequences of inadequate data infrastructure and governance.
These findings draw attention to a widening gap between AI ambition and operational readiness in financial institutions. Quest Software’s involvement in the research positions the company as a key provider of data management, governance, and AI-enablement solutions that can help mitigate risk, reduce project failure rates, and support regulatory compliance. The identified shortfalls in data practices point to a sizable addressable market for Quest’s offerings as firms seek to protect against AI-driven losses and strengthen their data environments.
In addition, Quest Software announced a rescheduled date of January 16 for a joint webinar with Tiger Analytics focused on scaling AI using trusted, reusable data products. Featuring Quest’s Chief Technologist Susan Laine and Tiger Analytics’ Ravi Shankar, the event is designed to share practical approaches for achieving AI speed through robust data infrastructure. This initiative reinforces Quest’s emphasis on thought leadership in data and AI, while the partnership with an analytics specialist could expand its ecosystem and enhance engagement with enterprise customers pursuing AI initiatives.
From a strategic standpoint, the week’s developments underline Quest Software’s effort to align its brand and solutions with the critical need for reliable data foundations in AI projects. While educational events like the webinar may not have an immediate financial impact, they can generate leads, strengthen customer relationships, and support long-term demand for data governance and AI-supporting software. Overall, the week highlighted Quest Software’s targeted push into AI-related data management challenges and its potential to benefit as enterprises intensify their focus on robust data strategies for AI adoption.

