Latest news with #LegacyHealth
Channel Post MEA
a day ago
- Business
- Channel Post MEA
99% Of Healthcare Organizations Leveraging GenAI, But Data Security And Scaling Challenges Remain
Nutanix has announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organizations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale. 'In healthcare, every decision we make has a direct impact on patient outcomes – including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernizing our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.' This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent. 'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales – Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organizations, there continue to be concerns given the importance of protecting healthcare data. Although all organizations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organizations as concerns around privacy and security are resolved.' Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include: GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organizations when it comes to leveraging or expanding utilization of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organization could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organizations. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organizations when it comes to leveraging or expanding utilization of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organization could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organizations. Prioritize infrastructure modernization to support GenAI at scale across healthcare organizations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritize infrastructure investments and modernization as a key enabling component of GenAI initiatives. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritize infrastructure investments and modernization as a key enabling component of GenAI initiatives. GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organization is leveraging GenAI applications/workloads today. Most healthcare organizations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organization is leveraging GenAI applications/workloads today. Most healthcare organizations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organizations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. However, healthcare organizations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. Application containerization and Kubernetes deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organizations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerization is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organization is at least in the process of containerizing trend may be driven by the fact that 92% of healthcare respondents agree their organization benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerization fits into expansion strategies for new and existing workloads. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerization trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.
Zawya
3 days ago
- Business
- Zawya
Nutanix Study finds adoption of GenAI and Containers in the healthcare sector has accelerated, but IT infrastructure modernization to support it lags behind
Modernization of legacy IT systems remains critical to meeting data security, privacy, and scalability demands for healthcare organizations DUBAI, UAE – Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organizations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale. 'In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernizing our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.' This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent. 'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organizations, there continue to be concerns given the importance of protecting healthcare data. Although all organizations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organizations as concerns around privacy and security are resolved.' Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include: GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organizations when it comes to leveraging or expanding utilization of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organization could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organizations. Prioritize infrastructure modernization to support GenAI at scale across healthcare organizations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritize infrastructure investments and modernization as a key enabling component of GenAI initiatives. GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organization is leveraging GenAI applications/workloads today. Most healthcare organizations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organizations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. Application containerization and Kubernetes® deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organizations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerization is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organization is at least in the process of containerizing trend may be driven by the fact that 92% of healthcare respondents agree their organization benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerization fits into expansion strategies for new and existing workloads. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerization trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region. About Nutanix Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. © 2025 Nutanix, Inc. All rights reserved. Nutanix, the Nutanix logo, and all Nutanix product and service names mentioned herein are registered trademarks or unregistered trademarks of Nutanix, Inc. ('Nutanix') in the United States and other countries. Other brand names or marks mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s). This press release is for informational purposes only and nothing herein constitutes a warranty or other binding commitment by Nutanix. This release may contain express and implied forward-looking statements, which are not historical facts and are instead based on Nutanix's current expectations, estimates and beliefs. The accuracy of such statements involves risks and uncertainties and depends upon future events, including those that may be beyond Nutanix's control, and actual results may differ materially and adversely from those anticipated or implied by such statements. Any forward-looking statements included herein speak only as of the date hereof and, except as required by law, Nutanix assumes no obligation to update or otherwise revise any of such forward-looking statements to reflect subsequent events or circumstances.
Techday NZ
3 days ago
- Health
- Techday NZ
GenAI adoption surges in healthcare but security hurdles remain
Ninety-nine percent of healthcare organisations are now making use of generative artificial intelligence (GenAI), according to new global research from Nutanix, but almost all say they face challenges in data security and scaling these technologies to production. The findings are drawn from the seventh annual Healthcare Enterprise Cloud Index (ECI) report by Nutanix, which surveyed 1,500 IT and engineering decision-makers across multiple industries and regions, including the healthcare sector. The research highlights both rapid uptake of GenAI in healthcare settings and significant ongoing barriers around infrastructure and privacy. GenAI use widespread, but risks loom Among healthcare organisations surveyed, a striking 99% said they are currently leveraging GenAI applications or workloads, such as AI-powered chatbots, code co-pilots and tools for clinical development automation. This sector now leads all other industries in GenAI adoption, the report found. However, nearly as many respondents—96%—admitted their existing data security and governance were not robust enough to support GenAI at scale. Additionally, 99% say scaling from pilot or development to production remains a serious challenge, with integration into existing IT systems cited as the most significant barrier to wider deployment. "In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack," said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. "We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us." Patient data privacy and security concerns underpin much of this hesitation. The number one challenge flagged by healthcare leaders is the task of integrating GenAI with legacy IT infrastructure (79%), followed by the continued existence of data silos (65%) and ongoing obstacles in developing cloud-native applications and containers (59%). Infrastructure modernisation lags adoption The report stresses that while GenAI uptake is high, inadequate IT modernisation could impede progress. Scaling modern applications such as GenAI requires updated infrastructure solutions capable of handling complex data security, integrity, and resilience demands. Respondents overwhelmingly agree more must be done in this area. Key findings also indicate that improving foundational data security and governance will remain an ongoing priority. Ninety-six percent agree their organisations could still improve the security of their GenAI models and applications, while fears around using large language models (LLMs)—especially with sensitive healthcare data—are prevalent. Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix, described the recent surge in GenAI adoption as a departure from healthcare's traditional technology adoption timeline. "While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools. Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved." Nearly all healthcare respondents (99%) acknowledge difficulties in moving GenAI workloads to production, driven chiefly by the challenge of integrating with existing systems. This indicates that, despite wide experimentation and early deployments, many organisations remain cautious about full-scale rollouts. Containers and cloud-native trends In addition to GenAI, the survey found a rapid expansion in the use of application containerisation and Kubernetes deployments across healthcare. Ninety-nine percent of respondents said they are at least in the process of containerising applications, and 92% note distinct benefits from cloud-native application adoption, such as improved agility and security. Container-based infrastructure is viewed as crucial for enabling secure, seamless access to both patient and business data over hybrid and multicloud environments. As a result, many healthcare IT decision-makers are expected to prioritise modern deployment strategies involving containers for both new and existing workloads. Respondents continue to see GenAI as a path towards improved productivity, automation and efficiency, with major use cases involving customer support chatbots, experience solutions, and code generation tools. Yet, the sector remains grappling with the challenges of scale, security, and complexity inherent to these new technologies. The Nutanix study was conducted by Vanson Bourne in Autumn 2024 and included perspectives from across the Americas, EMEA and Asia-Pacific-Japan.
Scoop
3 days ago
- Business
- Scoop
Healthcare's GenAI Gold Rush Is Here, But The Infrastructure Isn't Ready
Modernisation of legacy IT systems remains critical to meeting data security, privacy, and scalability demands for healthcare organisations Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organisations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale. 'In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.' This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent. 'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved.' Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include: GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organisations when it comes to leveraging or expanding utilisation of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organisation could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organisations. Prioritise infrastructure modernisation to support GenAI at scale across healthcare organisations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritise infrastructure investments and modernisation as a key enabling component of GenAI initiatives. GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organisation is leveraging GenAI applications/workloads today. Most healthcare organisations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organisations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. Application containerisation and Kubernetes® deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organisations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerisation is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organisation is at least in the process of containerising trend may be driven by the fact that 92% of healthcare respondents agree their organisation benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerisation fits into expansion strategies for new and existing workloads. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerisation trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region. To learn more about the report and findings, please download the full Healthcare Nutanix Enterprise Cloud Index, here and read the blog here. About Nutanix Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at or follow us on social media @nutanix.
Yahoo
13-05-2025
- Business
- Yahoo
AM Best Places Credit Ratings of PacificSource Health Plans Under Review with Negative Implications
OLDWICK, N.J., May 13, 2025--(BUSINESS WIRE)--AM Best has placed under review with negative implications the Financial Strength Rating of B++ (Good) and the Long-Term Issuer Credit Rating of "bbb" (Good) of PacificSource Health Plans (PacificSource HP) (Springfield, OR). The Credit Ratings (ratings) of PacificSource HP were placed under review with negative implications following the continued pressure on its government programs line of business, especially its Medicaid segment, as well as volatility in its earnings, capitalization and balance sheet metrics across its owned insurance entities. The under review status also considers potential pressure on its business profile and the rating enhancement it receives from its parent organizations, Pacific Health Associates (PHA) and Legacy Health. The risk-adjusted capitalization, as measured by Best's Capital Adequacy Ratio (BCAR), is assessed as very weak and the overall balance sheet strength of PacificSource HP is assessed as weak. The company manages capital to the minimum state regulatory requirements. Capital and surplus saw a decrease through year end, significantly impacted by a total premium deficiency reserve (PDR) of almost $75 million booked for 2025, consisting of a $44 million PDR for Medicare Advantage and a $30 million PDR for Medicaid, along with worsened results in the third and fourth quarters of 2024, largely related to increased Medicaid utilization. The reported year-end 2024 losses and capital levels were below projections provided at year end when AM Best's last ratings assessment was completed (see AM Best Downgrades Credit Ratings of PacificSource Health Group Subsidiary). Additional PDR changes are expected and could cause additional volatility throughout 2025. The projected 2025 results are still unfavorable; however, AM Best notes that there has been a capital contribution from its holding company, PacificSource, of $15 million, which was made during first-quarter 2025, and additional capital bolstering and operating performance initiatives are in progress as management believes are needed. Furthermore, capital contributions from PacificSource are planned for the remainder of 2025. AM Best will continue to monitor the appropriateness and adequacy of these initiatives to meet BCAR requirements and also in relation to operating performance and required reserve adjustments, over the next one to two quarters of 2025 at a minimum. The amount of rating enhancement afforded through lift from one of its two 50% owners, Legacy Health, could also be impacted, as well, as Legacy Health has no immediate plans to provide explicit capital support to its insurance subsidiaries to support their recent losses and capital declines. The ratings will remain under review with negative implications while AM Best monitors the organization's financial condition and discusses corrective action plans for bolstering risk-adjusted capitalization and operating performance in the near-to-intermediate timeframe. Additional losses or lack of improvement through organic means and/or potential additional capital support from either or both parents could result in further negative rating actions. This press release relates to Credit Ratings that have been published on AM Best's website. For all rating information relating to the release and pertinent disclosures, including details of the office responsible for issuing each of the individual ratings referenced in this release, please see AM Best's Recent Rating Activity web page. For additional information regarding the use and limitations of Credit Rating opinions, please view Guide to Best's Credit Ratings. For information on the proper use of Best's Credit Ratings, Best's Performance Assessments, Best's Preliminary Credit Assessments and AM Best press releases, please view Guide to Proper Use of Best's Ratings & Assessments. AM Best is a global credit rating agency, news publisher and data analytics provider specializing in the insurance industry. Headquartered in the United States, the company does business in over 100 countries with regional offices in London, Amsterdam, Dubai, Hong Kong, Singapore and Mexico City. For more information, visit Copyright © 2025 by A.M. Best Rating Services, Inc. and/or its affiliates. ALL RIGHTS RESERVED. View source version on Contacts Michael Sweeney Financial Analyst +1 908 882 2384 Joseph Zazzera Director +1 908 882 2442 Christopher Sharkey Associate Director, Public Relations +1 908 882 2310 Al Slavin Senior Public Relations Specialist +1 908 882 2318
