Chartis RiskTech100® 2025 Awards
SAS si classifica al 2° posto assoluto, con sei vittorie di categoria




SAS è al secondo posto assoluto nella classifica mondiale dei primi 100 fornitori di tecnologie di risk management e compliance. SAS ha inoltre vinto in sei categorie di premi tecnologici, tra cui AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 e Model Risk Management.
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White Paper Rethinking risk: Smarter models, better decisionsModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
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ANALYST REPORT Chartis RiskTech Quadrant for Model Risk Management, 2024Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2024.
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White Paper Revealing the paths to 2040: global insurance survey reportGlobal insurance leaders are grappling with disruption and uncertainty. Consider extreme weather events and the new global record for insured losses due to natural catastrophes. How will that affect risk models and pricing? As the protection gap grows, what can (and should) insurers do to address it? With the staggering amount of data that’s available, how can insurers use advanced technologies like AI and generative AI to drive product innovations and operational efficiencies? To answer questions like these, Economist Impact (sponsored by SAS) surveyed more than 500 insurance executives in September and October 2024. Organizations of all sizes and types responded. The results show that amid the challenges, there’s room for cautious optimism. Delve into the survey results to see how leaders responded to questions, such as: · Which trends will have the most impact over the next decade – and which pose the biggest risks and opportunities? · What’s the key to staying ahead of industry trends and accelerating the business? · What are internal and external barriers to success? · Which technologies are driving the biggest industry changes?
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E-book Reimagining risk, modeling, and decisioningThe eBook addresses how SAS and Microsoft are modernizing credit risk modeling and decisioning for better customer experience.
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ANALYST REPORT Chartis RiskTech Quadrant Asset and Liability Management, 2024SAS is named a category leader in Chartis Research's 2024 RiskTech Quadrant for ALM solutions, FTP solutions, LRM and reporting technology solutions, capital and balance sheet optimization solutions., hedging and risk management solutions, and financial planning and budgeting solutions.
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E-book 5 Steps to a Unified Enterprise Customer Decisioning StrategyIn an era of unprecedented technology-driven disruption, banks are facing a dual challenge: Meeting rising customer expectations while navigating increasingly complex regulatory demands. To remain competitive, banks must not only innovate but also streamline operations and foster greater collaboration across departments, breaking down traditional silos and working toward innovation. How can banks simplify their operations, future-proof their services, and drive growth? Enterprise customer decisioning is the answer. This ebook describes five important steps to making better decisions faster with enterprise customer decisioning.
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ANALYST REPORT Chartis RiskTech100 2025SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2025. Six category wins are AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 and Model Risk Management.
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White Paper Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about: • The state of AI regulations globally. • The multifaceted role insurers can play in developing AI ethics. • Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today. • An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.