LONDON, UK: The Royal Marsden NHS Foundation Trust, a world-leading specialist cancer center, has today announced a pioneering partnership with NTT DATA, a global leader in digital business and technology services, and CARPL.ai, a leading enterprise imaging artificial intelligence (AI) and machine learning operations (MLOps) platform. Together, they have designed and built an advanced AI-powered radiology analysis service for the development and evaluation of AI in medical imaging, designed to transform cancer research and, ultimately, improve patient outcomes.

AI’s potential to enhance the speed and accuracy of identifying imaging biomarkers has long been recognized. Funded by a three-year grant from the UK’s National Institute for Health and Care Research (NIHR), the service will be used for research at The Royal Marsden and the Institute of Cancer Research (ICR), including projects in collaboration with other research teams. This research initiative will focus on developing and evaluating AI algorithms to improve the accuracy of cancer evaluation, including sarcoma, lung, breast, brain, and prostate cancers. This will lead to faster response times, more accurate diagnoses, and better-targeted treatments.

The service runs on an MLOps clinical imaging platform, built and operated by NTT DATA. To enable this, NTT DATA developed a bespoke AI computing solution leveraging high-performance Dell servers and utilizing the latest GPU processing capacity orchestrated by the CARPL.ai platform, which helps test and manage AI algorithms and includes a large collection of radiology AI models.

NTT DATA is also providing specialist imaging AI consulting services, helping researchers at The Royal Marsden test and evaluate emerging AI tools in real clinical settings, while extracting maximum insight and value from both in-house and commercial algorithms.

“AI has immense potential to support clinicians in diagnosing and treating cancer earlier and more precisely,” said Professor Dow-Mu Koh, Professor in Functional Cancer Imaging and Consultant Radiologist in Functional Imaging at The Royal Marsden. “By working with NTT DATA and CARPL.ai, we’ve created a scalable research environment that allows us to explore the full potential of AI safely and in a way that could one day transform cancer diagnosis and treatment across the NHS.”

Minister of State for Health, Karin Smyth, said: “Our 10-Year Health Plan will modernize the NHS, replacing outdated systems with cutting-edge digital solutions. While this trial is in its early stages, it represents exactly the kind of collaboration between the NHS, industry, and academia that will help build a health service fit for the future. Early detection saves lives, and innovations like AI will transform how cancer is diagnosed and treated – helping patients receive faster and more effective care.”

Professor Mike Lewis, NIHR Scientific Director for Innovation, said: “Cancer is one of the biggest killers in the UK. That must change. This three-year grant will help researchers push the boundaries of AI-driven technology for cancer detection and diagnosis.

This AI-powered service represents the cutting edge of cancer research, and it is going to transform treatment, better support NHS staff, and ultimately change patients’ lives. It is another great example of how NIHR-funded and supported research will ensure the best care is there when patients need it.”

Tom Winstanley, Chief Technology Officer at NTT DATA UK & Ireland, commented: “This service is a great example of responsible innovation in practice, showing the ethical, secure use of AI in healthcare. We are very proud to support The Royal Marsden in pushing the boundaries of cancer research.”

Once the service is live, research teams at The Royal Marsden will be able to evaluate a range of AI models across several cancer types. These studies will generate critical insights into how AI can support clinical decision-making and shape future approaches to diagnosis and treatment. Through CARPL.ai’s centralized interface and built-in monitoring tools, the research teams will also be able to track model performance over time, enabling faster feedback loops between development and deployment – a crucial step towards clinical translation. NTT DATA will continue to work closely with The Royal Marsden to support this next phase of research, which will ultimately improve cancer care and patient outcomes.

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The Cisco Observability Platform provides capabilities to surround telemetry data with context, so organizations get both insight and the ability to take specific action(s). Partners are already seeing value in the platform and developing modules to help customers derive value from their observable telemetry. By building and offering solution sets on the platform, partners can assist in providing the observability needs of Cisco’s customer base.

The new modules are focused on five critical areas: Business Insights, SAP Visibility, Networking, MLOps & SLO, and Sustainability. The modules are designed to help customers achieve their specific observability needs and utilize additional value from observable telemetry. The platform provides contextual, correlated, and predictive insights that allow customers to resolve performance issues more quickly and optimize digital experiences while minimizing business risk.

The Cisco Observability Platform is a vendor-agnostic solution that harnesses the power of the company’s full portfolio. It delivers a new observability ecosystem that brings data together from multiple domains, including applications, networking, multi-cloud infrastructure, cloud services, security, endpoints, sustainability, and business sources.

The addition of these new modules to the Cisco Observability Platform will help customers fulfill their specific observability needs and utilize additional value from observable telemetry. The platform provides contextual, correlated, and predictive insights that allow customers to resolve performance issues more quickly and optimize digital experiences while minimizing business risk.

However, according to a recent IDC report, 60% of IT professionals are worried that most observability tools serve narrow requirements, failing to give IT teams a complete view into current and trending operating conditions. Further, 65% stated the need for a programmable and extensible observability solution that could be used for use cases specific to their own business.

New partner modules are focused on five critical themes:

• Business Insights: Correlate telemetry data with business performance across multiple domains, providing customers with full visibility and insights on how business interacts with IT.
• SAP Visibility: Help customers achieve holistic observability across often changeable, expanding and complex SAP landscapes and ecosystems.
• Networking: Leverage Cisco’s networking expertise to correlate key network telemetry with business metrics and application stack.
• MLOps and SLO: With the growing use of generative AI and the mainstream of modern applications, the Cisco Observability Platform helps customers to monitor these applications, and their SLO and bring the monitoring of large language models (LLMs), and MLOps models together with application observability.
• Sustainability: Help customers achieve their sustainability goals by providing data around the carbon footprint across multiple IT domains and help optimize energy consumption.

Partners are already seeing value in the Cisco Observability Platform and developing modules to help customers derive value from their observable telemetry. By building and offering solution sets on the Platform, partners can assist in providing the observability needs of Cisco’s customer base.

The following modules are available on the Cisco Observability Platform exchange at Partner Summit:

• CloudFabrix – SAP Observability: Enables customers to ingest data from Cisco AppDynamics agents for SAP Monitoring. It correlates telemetry data and asset types together to isolate the root cause of issues in the SAP landscape and determine the effect of impacted services on the business.
• CloudFabrix – Campus Analytics: Provides network analytics for campus environments as employees return to offices. This module aggregates multiple Cisco DNA Controller analytics to provide near real-time network topology information, bandwidth consumption and hotspot visibility.
• Evolutio – Claims: Insurance institutions are looking to gather multiple claims processes in a single pane of glass to best understand process health and user experience. The module helps to correlate and view the health of different claims processes in real-time as it relates to product types, underwriters, regions, and business units.
• Evolutio – eCommerce: With the growth of e-commerce and the technology that powers it, organizations need a solution to track every part of the shopping experience. This module allows the correlation by product category or region, by monitoring of orders, shipping, inventory, and payments to quickly identify issues against the supporting infrastructure and applications.
• DataRobot – MLOps by Evolutio: Extends observability for both predictive AI and generative AI, with always-on monitoring and production diagnostics to track and improve the performance of your models. Stay informed of key metrics like service health, accuracy and data drift.
• Nobl9 – Service Level Objectives (SLO): Provides a platform for defining and creating SLO for understanding reliability across organizations and sharing remaining error budgets for given services as well as SLO-related visualizations for workloads.
• Climatiq – Cloud Carbon Insights: Adds carbon emission tracking to existing cloud metrics and enables analyzing, comparing, and benchmarking emissions data. These actionable insights accelerate journeys to net zero and make more environmentally conscious decisions.

In addition, the following modules will be available soon:

• Cisco CX – Sustainability Insights: Provides a sustainability portal that acts as a single pane of glass for near real-time interactive visualizations, measurement, estimation, and reporting of key infrastructure sustainability indicators, trended over time, aiming for workload and datacenter energy optimization.
• Aporia – MLOps: A significant number of challenges faced by ML models in production arise from a combination of data inconsistencies and the software infrastructure they operate on. The module will not only offer a holistic view of the model’s performance but also empowers teams to swiftly identify, dive deeper into, and resolve issues faster.

Cisco is committed to fostering innovation in observability and building an observability ecosystem that will help companies deliver exceptional digital experiences. The platform has the potential to provide a diverse set of solutions that can help customers reduce tool sprawl and more proactively manage business operations through partner-led observability practices.

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