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Harnessing AI for Enhanced Risk Management in Financial Services
DDN· 2025-04-24 08:38
Market Volatility and Systemic Risk - Financial institutions face systemic risks amplified by geopolitical shocks, tariffs (spiking costs by 10-20%), and regulatory changes, necessitating proactive risk management [1] - The interconnectedness of global economies means events in one region (e g, Japan, London) can impact others, highlighting the importance of mitigating systemic risk [1] - Traditional risk models often struggle to keep pace with intraday market volatility, requiring faster data processing and analysis [7] Data and Technology Challenges - Many financial institutions still rely on legacy systems for risk management, which are inadequate for today's volatile environment [1] - Institutions face a data explosion when performing risk calculations like Monte Carlo simulations, generating 15+ terabytes of data daily for a 10-day VaR calculation [5] - Moving data to and from the public cloud for calculations can be slow (e g, taking 3 hours to retrieve 15 terabytes), hindering timely risk analysis [8] Hybrid Cloud and Data Architecture - Hybrid cloud environments are becoming essential, allowing institutions to leverage the scalability of the public cloud while keeping sensitive data on-premises due to regulatory requirements [10][39] - A well-designed data architecture is critical for CIOs, enabling them to leverage different environments for their respective strengths [44][45] - DDN enables a hybrid multi-protocol environment, allowing institutions to keep sensitive data on-premises while running analytics and making the results available quickly [44] DDN's Solutions and Capabilities - DDN offers data intelligence solutions, focusing on providing relevant information up the stack rather than just storage [1] - DDN's Infinia platform can achieve up to 8x faster performance compared to legacy NAS architectures in grid runs with Murex and scenario reloads [28][29] - DDN's data ocean concept allows institutions to leverage data where it sits, avoiding slow and difficult data movement, and provides thousands of tags for finding relevant data [36][37]
NetApp(NTAP) - 2025 Q3 - Earnings Call Presentation
2025-02-27 22:37
Financial Performance - NetApp's Q3 FY25 revenue reached $1.64 billion, a 2.2% year-over-year increase[61] - Billings for Q3 FY25 amounted to $1.71 billion, representing a 1.5% year-over-year growth[61] - The company's all-flash array annualized revenue run rate grew by 10% year-over-year, reaching $3.8 billion[59] - First party and marketplace cloud storage services revenue grew approximately 46% year-over-year[59] - Capital returns totaled $306 million in Q3 FY25[61] Guidance - NetApp projects Q4 FY25 revenue between $1.65 billion and $1.80 billion[97] - The company anticipates a Non-GAAP gross margin of 69% to 70% and a Non-GAAP operating margin of approximately 28% for Q4 FY25[97] - NetApp expects Non-GAAP earnings per share to be in the range of $1.84 to $1.94 for Q4 FY25[97] Strategic Focus - NetApp secured over 100 AI and data lake modernization deals, including AI-as-a-Service wins[59] - The company divested Spot by NetApp to refine its Public Cloud business focus[59] - NetApp launched new all-flash AFF A-series and C-series, enhanced StorageGRID object storage capabilities, and expanded cloud storage offerings[59]