RTI makes autonomous systems work together as one through its robust, endlessly scalable and safety-certified software connectivity framework used in over 2,000 production-ready designs. Learn how a data-centric architecture delivers the data to when and where it’s needed, at www.rti.com

Modern robotic surgery requires a complex and seamless integration of software, robots, haptics, communication infrastructure and real-time control systems. A collaborative approach is essential to overcome technical challenges including latency, integration and interoperability, data security, scalability and more. 

Recently, four companies with deep experience in medtech demonstrated how to leverage state-of-the-art technologies to rapidly develop a fully integrated surgical robotic system. Debuted at the SRS conference, operators manipulated a remote telesurgery robot via a haptic controller. Built in less than two months, it showcases a scalable, safety-critical framework that supports real-time coordination across diverse systems and data sources. 

Join RTI, Kinova, MedAcuity and Haply as they describe and demo this collaborative system, followed by a panel discussion and audience Q&A.

Engineering Telesurgery: A Collaborative Blueprint for Advanced Systems Integration

Is Your Edge-to-Cloud Data Flow Ready for Next-Gen Autonomous Systems?

Whether you're building advanced autonomous systems in smarter farming, safer mining or transportation, one question remains: Can your edge-to-cloud infrastructure keep pace?

AI-enabled systems require unified edge-cloud connectivity for intelligent, real-time information exchange in order to achieve operational agility. Traditional edge-to-cloud connectivity architectures often fall short due to higher costs, slower data pipelines, and the creation of data silos. 

A data-centric architecture revolutionizes edge-to-cloud communication by forming a common global databus that enables seamless, reliable, real-time data flow across edge APIs and cloud services. This approach is critical for supporting real-time AI, autonomy and operational intelligence where data needs to be accessed from anywhere, anytime. 

Join leading experts for an overview and panel discussion of the challenges and best practice approaches for distributed AI systems.

Key Learnings:
1. AI's Impact: Discover how AI is revolutionizing connectivity requirements for future autonomous vehicles in agriculture, mining and transportation.
2. Data-Centricity: Understand data-centricity and its seamless operation across cloud and edge, encompassing the entire distributed enterprise.
3. Overcoming Limitations: Discover how data centricity overcomes the limitations of traditional message-based methods in the expanding era of AI.

Real-Time Data Anywhere: Powering Edge AI and Cloud with Data-Centricity

Building autonomous systems means navigating complexity; balancing modularity and scalability with latency, reliability, and resource constraints. Connext handles these tradeoffs at the platform level, enabling developers to focus on building high-level autonomy platforms that are flexible, scalable, and deployable across cloud and edge environments. Connext AI takes this further, using purpose-built AI to streamline system design, automate configuration, and guide debugging. It reduces development time and errors, especially for teams unfamiliar with Connext. In this panel discussion, learn how Connext and Connext AI simplify distributed system development and accelerate the path to deploying real-world autonomous systems at scale.

Accelerating Autonomy Platform Development with Connext AI

Turn your idea into a fully operational Pub-Sub distributed system in under 30 minutes -- no platform team required. In this webinar, we’ll show how to accelerate development with RTI's new AI-powered capabilities to rapidly design, deploy, and scale distributed systems. Whether you're a CTO, engineering manager, or system architect, you’ll learn how Connext AI automates heavy lifting, speeds up coding, and delivers robust real-time performance. Join us to see just how fast innovation can happen without compromising on reliability.

From Idea to Deployment: AI-Powered System Development in 30 Minutes

As applications become more software-driven and complex, so too are the development processes. Discover how to simplify the development and communications for next-gen applications through Data Distribution Service (DDS). DDS is the premier middleware standard for real-time, high-performance, and scalable data connectivity, and is core to running mission-critical applications in aerospace, defense, automotive, medical robotics and more.

Learn how DDS enables seamless data sharing across devices and networks, supported by robust Quality of Service (QoS) mechanisms for reliability, low latency, and fault tolerance. The session includes a practical demonstration of DDS in action, featuring RTI Connext. Join us to see how RTI and DDS can revolutionize your complex distributed systems.

Simplifying Complex Application Development with DDS

The use of AI in medical technology is transforming the future of patient care. This webinar will look beyond traditional cloud and radiological applications and explore how a new generation of edge-AI systems actually run. 

This webinar will examine:
- Smart patient monitoring and device connectivity applications
- A new architecture that combines the latest AI technology with data-centric connectivity
- Robotic surgery applications for minimally invasive therapies 

Join RTI CEO Stan Schneider for a look at how real-time intelligence, data interoperability, and digital connectivity are transforming medical devices into multi-modal, AI-enabled systems for operative guidance, insights, and automation. Participants will gain new insights into the future of real-time applications that will deliver more precise treatments, improve patient outcomes, and increase clinical efficiency.

AI to Run the Real World: MedTech

Software-defined systems rely on rapid, dependable communication throughout a vast interconnected system of devices and subsystems. Yet as the systems evolve, those based on a message-centric paradigm simply cannot keep up.  

Choosing a data-centric framework solves the scalability challenge. RTI Connext, built on the Data Distribution Service (DDS) standard, uses a publish/subscribe approach that enables loose coupling of system elements to make data available where and when it’s needed - regardless of system size.  

This webinar will compare DDS to traditional socket-based network communication. It will introduce key aspects of discovery-based publish-and-subscribe communication and discuss how to manage different data flows with reliable Quality of Service (QoS). 

The presentation will be followed by audience Q&A.

Data-Centric Communications in Software-Defined Systems: An introduction to DDS

Modern healthcare requires real-time, flexible data connectivity to meet demanding performance, security, and reliability requirements. 

Join us for an insightful webinar where we explore the benefits of real-time, resilient and recoverable data communications across connected devices and distributed systems. Discover how manufacturers and hospitals can achieve enhanced operational efficiency through the real-time collaboration of devices in connected operating rooms, utilizing integrated data sources. Learn how ambulatory patient data can be tracked and shared reliably and securely throughout the treatment process.

Don't miss this opportunity to understand how MedTech is leveraging the latest data-driven technologies and creating a connected device ecosystem.

Improving Healthcare through Real-Time Medical Device Connectivity

Data is the key to intelligence. In the cloud, where enterprise applications run, AI has easy access to data and plenty of time to process that data. But smart machines in the real world need to access and process data much faster. So, in real-world systems, the key to intelligent reaction is data flow: getting the right data to the right place at the right time. This is one of the most complex and demanding challenges of the future. It requires an entirely different architecture.

This talk will explore the technology challenges in AI, and the foundational architecture that is enabling intelligence across industries. It will also discuss real-world examples ranging from healthcare to transportation, and explain why AI is so important to the future of digital transformation in almost every industry.

AI to run the Real World: an Architecture

Are you seeking to enhance scalability and cybersecurity for your critical applications? In an era where broad connectivity and artificial intelligence (AI) are driving innovation, the demand for smarter distributed applications has never been greater.
In this webinar, we’ll explore the evolution of Connext, based on the DDS standard, showcasing significant advancements in scalability, observability, security, and productivity. These enhancements are made to address the current challenges that the critical applications are facing.

Join us as we delve into the exciting new features of the recently released RTI Connext 7.3 LTS, a pivotal update that offers long-term support. What you'll gain from this webinar:
- In-depth Insights: Understand how the new capabilities of RTI Connext 7.3 LTS can transform your projects, making them more efficient and secure.
- Demonstrations: Explore the new features through basic demonstrations that highlight their practical application in typical scenarios.
- Expert Recommendations: Participate in a lively debate with our panel of experts who will share their insights and answer your questions.

How to Build Stable and Reliable Infrastructure for Critical Applications

Navigating hospital IT constraints is pivotal for integrating advanced MedTech solutions. Join us as we dive into three of the typical constraints, explore their challenges, and introduce proven approaches to overcoming them.

- Multicast Prohibition: What is another option when unicast increases latency and network usage and multicast is prohibited?
- Port Number Restrictions: How can dynamic systems manage applications that come and go?
- Cybersecurity Controls: How can we effectively manage the trade-off between secure communications and interoperability?

Discover how to achieve a flexible and performant framework, facilitating scalable and interoperable systems in the competitive MedTech landscape.

Top 3 Tips to Break Through Hospital IT Silos

Cybersecurity is critical in developing and running complex, distributed systems.  As systems become more interconnected and intelligent, protecting data against cyberattacks and unauthorized participants becomes increasingly challenging. The first step to securing a distributed system is to protect its data.  

As a publish/subscribe protocol, DDS helps ensure that only authorized users and nodes can transmit and receive data, providing zero-trust, end-to-end data protection and data-origin authentication. 

The DDS Security specification defines the security model and Service Plugin Interface (SPI) architecture for DDS-compliant implementations. This enables out-of-the-box security between compliant DDS applications. Specifically, the use of SPIs allows DDS users to customize the authentication, access control, encryption, message authentication, digital signing, logging and data tagging.

The OMG will release an updated version of the DDS Security specification later this year. Last updated in 2018, the updated version includes new cryptographic algorithms, key rotation, support for dynamic revocation of credentials and hardness against DoS attacks. This webinar will provide an overview of the DDS Security spec with an emphasis on the new features. The presentation will be followed by audience Q&A.

Speaker
Gerardo Pardo, co-chair, DDS SIG, Lead Author of the DDS-Security specification, and CTO, Real-Time Innovations (RTI)

What’s New in the DDS Security Standard

In 2010, the UK Ministry of Defence (MoD) released their General Vehicle Architecture standard (Def Stan 23-009), widely known as GVA. It defined a set of requirements for the development of military vehicles aimed at reducing project risk, reducing costs and improving equipment capability.

In the intervening years, GVA has evolved as lessons have been learned, technology has improved and requirements have changed. 

This webinar outlines the key technical aspects of GVA. It will focus on how Data Distribution Service (DDS) is used as part of the underlying structure of a GVA based system, and will review some of the more recent changes in the GVA standard itself.

Understanding GVA: An Evolving Platform for Land Vehicles

Next-generation healthcare systems promise to deliver more targeted treatments, improve patient outcomes, and lower patient and hospital costs. To make this vision a reality, the industry must overcome key blockers, particularly around medical device interoperability.

While a connected device ecosystem will deliver better outcomes, it also increases system complexity. The solution is an open, interoperable connectivity architecture that can enable future-forward flexibility and scalability while maintaining reliability, cybersecurity, and performance.

In this webinar we'll discuss how the right architectural framework connects systems of medical devices so they work as a single integrated solution – reliably, securely and in real-time. It will discuss how using commercial off-the-shelf software, based on open standards, can manage the necessary infrastructure to optimize outcomes and productivity, allowing developers  to focus on application development and the integration of new technologies, instead of infrastructure.

Connectivity for Next-Gen Medical Devices: Real-Time, Secure, Scalable

Software-Defined Vehicles (SDVs) require flexibility from the middleware and networking layers, while maintaining a reliable data flow. They need to be able to adjust dynamically to new platforms and enable new features to be introduced at a rapid pace, without overhauling the system architecture. In order to enable this future-forward flexibility, it’s crucial to allow collaboration between different partners and rely on open standards.

By putting Data Distribution Service (DDS™) on top of TSN, system architects and application developers can leverage the DDS software databus with the advanced networking capabilities of TSN to create a powerful distributed data-centric software integration framework.

This webinar will review the OMG® DDS-TSN standardization efforts to extend DDS with a configuration model and a set of guidelines in order to successfully deploy DDS applications over TSN. It will illustrate how to map DDS messages to TSN frames and configure TSN to meet timing related DDS-level QoS for automotive use cases.

Deploying DDS applications over TSN for Software-Defined Vehicles

RTI Connext Tools provide visibility into operational systems, help troubleshoot application connectivity, solve complex data integration problems and speed time to market. Connext Tools add unique value, easing the entire development lifecycle, from design to production.

In 40 minutes, we will introduce RTI's proprietary debug tool, Admin Console, and its abilities to quickly identify connectivity problems, display Topic structure and real-time data, and many other capabilities. 

We will also explore other Connext Tools which assist developers in:
 · Creating and running applications
 · Debugging connectivity issues between applications
 · Optimizing application behavior
 · Characterizing and optimizing network performance prior to deployment.

Optimizing Development: An Overview of Connext Tools

AI to run the Real World

Software-defined vehicles can offer increasingly intelligent capabilities enabled by continuous data flow between components that perform various functions including sensing, situational awareness, navigation, planning, control, and actuation. 

This talk will highlight the key requirements, standards, and techniques for building trustworthy software defined vehicles, using a layered data-centric architecture that protects the data in motion between software components. 

We will define the core pillars of trustworthiness, and describe how the principles of data-oriented software system design are being applied to implementing intelligent driving tasks. The approach provides a framework for ensuring the desired degree of trustworthiness in the system while also reducing the overall software development costs.

AI to run the Real World: Trustworthy Software-Defined Vehicles

Safety

Reliability

Resilience

Security

System Architecture

Software Defined Vehicles

Data Flow

Data Centric Architecture

Software Development

Data Centricity

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Network Infrastructure

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AI to run the Real World: Trustworthy Software-Defined Vehicles

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Real-Time Innovations (RTI)