Name: Transforming the Enterprise Takes Time: Accelerate Change and Free Up Staff Time With AIOps
Start: 2025-07-16T15:00:00Z
End: 2025-07-16T15:01:00.000Z
Location: BrightTALK
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The Enterprise Architecture channel  presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.

Quite aside from the quest to spread out the work of new AI-based services, there are other issues centered on data and the network that are increasing interest in and need for edge data centers. 

We’ll explore these drivers for a new generation of distributed data centers, and how they will fit into enterprise networks.

Expanding the Network Edge

Information systems vary in their primary roles and objectives. Real-time information systems, in particular, impose strict deadlines for generating control responses, as delays in data generation, processing, or transfer may lead to critical failures. For such systems, ensuring proper transactions depends not only on their logical correctness but also on their ability to operate within the required time constraints—as excessive latency renders them ineffective.

Timely data processing is essential for data intelligence, influencing the methods and tools used for classifying and integrating real-time information. Achieving low-latency solutions requires leveraging local resources instead of relying solely on centralized servers or cloud infrastructure. This shift brings computing closer to the network's physical endpoints, introducing the edge computing paradigm. Expanding the network edge extends computational and data processing capabilities to the point of data generation, reducing cloud dependency while enhancing real-time analytics, security, and efficiency.

Discover the key technologies driving edge expansion, including edge computing, cloud-edge advanced communication protocols, and AI-driven edge networks, and gain expert insights into the future of edge computing.

Discover Technologies Driving the New Network Edge

In an era where application environments are distributed, the network often directly determines the cost, the efficiency ,and the experience of nearly every application. With the era of AI on the immediate horizon, how will organizations evolve their network and infrastructure planning and operations to adapt? Which deployment strategies are being considered for AI workloads, and how will those affect networking planning and operations? What are the biggest challenges facing organizations building networks for AI? And, What are the most important features and capabilities of networking for AI? Join Jim Frey as he helps answer these questions in the latest research on How the AI Revolution will Transform AIOps and Observability.

Architecting the Network for an AI-Powered World: Customer Challenges, Plans, and Priorities

Consistent excellence in application experience must be a priority for any digital business, whether that experience is for its customers or its employees. Observability and AIOps tools play a critical role in runtime post-deployment (Day 2) operations across distributed cloud environments. What are the current pain points, best practices, and investment priorities for developers and IT operators related to observability, visibility, and monitoring? How much time do application development teams spend on troubleshooting production environments, maintaining or modernizing existing application code, and productively writing new business code? How can modern AI-enabled tools and technologies help? And what barriers persist? Join Torsten Volk as he helps answer these questions in the latest research on How the AI Revolution will Transform AIOps and Observability.

How the AI Revolution Will Transform AIOps and Observability

Businesses enjoy a wealth of application deployment choices between cloud providers, data centers, colocation, as well as edge locations. As cloud adoption matures organizations become more distributed with investments increasing both on and off premises. How do businesses make application deployment and migration decisions between locations? Why do “cloud-first “organizations keep workload on premises? When do organizations switch primary cloud providers? What rationale, considerations, and processes matter? How have the adoption of cost-analysis tools impacted organizations investment decisions. Answering these questions is the key to understanding the future of hybrid, and multi-cloud investment. Join Scott Sinclair as he discusses recent research on Understanding Workload, App, and Data Deployment and Migration Decision Making across Distributed cloud environments.

Understanding Workload, App, and Data Deployment and Migration Decision Making

With AI and data-intensive workloads transform IT priorities, data storage infrastructure plays a crucial role in the success of digital operations. Data drives modern business success, yet data environments are more distributed and silo’d than ever before. What are the top challenges of distributed data environments? How is AI shifting storage investments and considerations? What is fueling a resurgence of on-premises storage investment? What role does the hypervisor and hyperconverged infrastructure play in the modernization of hybrid and multi-cloud environments? Answering these questions is the key to optimizing data storage and access in the modern digital age of business. Join Simon Robinson as he discusses recent research on the State of Enterprise Storage and HCI.

Navigating the Cloud and AI Revolution: The State of Enterprise Storage and HCI

The tsunami of data overwhelming IT operations has exposed a critical flaw in our approach: analyzing more data faster doesn't deliver better business outcomes. Forward-thinking enterprises are pivoting from data-centric to outcomes-driven AIOps strategies—where success is measured not by the insights generated, but by the tangible business results achieved through anticipatory operations.

Implementing post-AI Quantum technologies presents a number of significant challenges, from integration with legacy systems to establishing new governance frameworks for ethical use. However, organizations that successfully navigate this transition gain unprecedented capabilities to anticipate disruptions before they occur, dynamically adapt to emerging threats, and transform operational resilience into competitive advantage. This paradigm shift requires rethinking how we evaluate, deploy, and measure the impact of advanced AI technologies within enterprise environments.

In this session, Dr.-Prof.-Eng. Yogesh Malhotra, Founder, Chairman & CEO of Global Risk Management Network LLC and AWS Quantum Valley™ US Air Force-Pentagon MVP, explores how outcomes-driven AIOps transforms enterprise agility in the post-Quantum-GenAI era.

Key Takeaways:
- Master the transition from data-driven to outcomes-driven AIOps.
- Overcome key implementation challenges for post-AI Quantum technologies.
- Develop more trustworthy AI models through human-centered, meaning-aware approaches.
- Enhance operational resilience through anticipatory rather than merely predictive systems.
- Create a strategic roadmap for measuring outcomes-based success in your AIOps initiatives.

Beyond Prediction: Outcomes-Driven AIOps for Enterprise Agility

In the labyrinth of modern enterprise technology, AIOps often feels like a mystical black box -- powerful, yet frustratingly opaque. Over the last two decades we have all watched countless promising technologies get sidelined not because they lack potential, but because leadership can't see inside the mechanism.

This session from industry thought leader Gael Decoudu isn't another technical deep-dive. It's a pragmatic roadmap for transforming AIOps from an intimidating technological black box into a strategic business asset that speaks the language of value, risk mitigation, and organizational efficiency.

Key Takeaways
- Learn practical translation frameworks that convert technical AIOps metrics into business value language that resonates with leadership. 
- Discover the four critical layers of AIOps explainability and how to implement them within your organization's unique culture. 
- See examples of how successful organizations transformed "black box" AI technologies into transparent business assets. 
- Get a phased implementation roadmap for building an explainability practice that scales across your enterprise. 
- Walk away with actionable communication strategies that help technical teams articulate AIOps value in terms of performance impact, risk mitigation, and operational efficiency.

From Black Box to Business Buy-In: Making AIOps Explainable for Enterprise-Wide Adoption

SNIA's Cloud Object Storage community organized and hosted the industry first open multi-vendor compatibility testing (Plugfest) at SDC’24, in Santa Clara, CA. Most of the participants focused on their S3 server and client implementations. Community driven testing revealed significant areas to collaborate, including ambiguities among protocol options, access control mechanisms, missing or incorrect response headers, unsupported API calls and unexpected behavior (as well as sharing best practices and fixes). The success of this event led to community demand for more SNIA Cloud Object Storage Plugfests.

In this webinar, SNIA Cloud Object Storage Plugfest participants will discuss real-world issues hampering interoperability among various S3 implementations, from both server and client perspectives, covering:

• Goals and collaborative efforts of this multi-vendor community
• S3 compatibility challenges and why they happen
• This Community’s effort to identify and fix issues at SNIA Cloud Object Storage Plugfests
• The value of multi-vendor compatibility testing

Community Driven S3 Compatibility Testing

In today's digital era, space technology is revolutionizing IT networks and global connectivity. From AI-powered satellite systems to edge computing and cybersecurity, space is no longer just about exploration—it's about enabling the next generation of intelligent, resilient networks. 

Join Shelli Brunswick as she explores how space innovation is advancing 5G, SD-WAN, SASE, and other emerging network trends. Drawing from insights from 200+ thought leaders, she will highlight how space-based data, public-private partnerships, and cutting-edge technologies are transforming connectivity and enabling real-time decision-making. 

Key Takeaways: 
- How AI-driven satellite networks, edge computing, and space-based cybersecurity are redefining IT infrastructure. 
- Leadership lessons from space exploration—adaptability, problem-solving, and long-term vision. 
- How space technology supports climate monitoring, digital transformation, and IT innovation. 
- The role of collaboration between space agencies, enterprises, and IT leaders in accelerating digital transformation. 
- Insights from Shelli’s book "What’s Space Got to Do With It? 10 Life Lessons for Personal Growth" on thriving in an era of rapid technological change. 

About the Speaker 
Shelli Brunswick is a globally recognized leader in space innovation, AI, and emerging technologies. With 35 years in aerospace, she is CEO of SB Global LLC, former COO of Space Foundation, and a U.S. Air Force veteran. She bridges the space and IT industries, driving advancements in cybersecurity, edge computing, and next-gen connectivity. A sought-after keynote speaker and author of What’s Space Got to Do With It?, Shelli brings insights from her work with global think tanks to illuminate how space and AI are shaping IT leadership and infrastructure.

From Space to Servers: Building the Next Generation of Intelligent Networks

In today's interconnected world, businesses rely heavily on IT infrastructure that seamlessly integrates on-premises systems and cloud services. Hybrid and multi-cloud strategies have become essential for organizations looking to maximize the benefits of both environments. However, achieving seamless network connectivity across platforms like AWS, Azure, and Google Cloud presents unique challenges in performance, security, and cost management. 

As businesses rely more on hybrid and multi-cloud models, IT leaders face the challenge of integrating diverse network environments. This requires careful consideration of multiple factors, like available connectivity solutions, advanced SDN technology, and scalable network architectures. Designing secure communication channels, ensuring data integrity and compliance, and maximizing efficiency and cost are crucial for building a successful hybrid and multi-cloud strategy. 

In this session, Sandeep Tripathi, IT Solutions Designer at Daimler Truck AG, will share insights on navigating the complexities of hybrid and multi-cloud network connectivity. 

Key Takeaways: 
- Explore practical strategies for building robust network connectivity. 
- Learn about available connectivity solutions and advanced SDN technology. 
- Discover how to design secure and efficient network architectures. 
- And more...

Achieve Seamless Interoperability: Hybrid and Multi-Cloud Network Connectivity

The days of IT simply 'keeping the lights on' are over. Today, the network is a strategic weapon, and the people wielding it are the most critical component. But how do we equip them for success?

True digital transformation requires a people-first approach, where skilled and motivated teams are empowered to build and manage the next-generation networks that drive competitive advantage.

This session, tailored for IT leaders navigating the complexities of hybrid work, edge computing, and the IoT explosion, explores how to cultivate a "people-first" culture within your networking teams. Drawing on his experience as VP for IT and Chief Digital Officer at Grand Valley State University, Dr. Miloš Topić will share practical strategies for:

- Creating a shared vision: Engaging your team in defining the "why" behind your network strategy and fostering a sense of ownership.
- Inspiring excellence: Motivating your teams to embrace new technologies like 5G, SD-WAN, and SASE and driving them to achieve clear standards.
- Building trust through transparency: Fostering a culture of open communication, honesty, and shared accountability.
- Empowering decision-making: Delegating authority, providing support, and creating a safe space for experimentation and risk-taking.
- Leadership as service: Showing your team that you are there to support them and have their back.

From Vision to Value: Architect People-First Networks for Digital Transformation

Digital transformation centers on connecting disparate devices and disparate networks and transforming the data into information. This webinar from industry thought leader Tom Burke will explore the latest strategic networking opportunities utilizing cutting edge architectures to enable this magical digital transformation. 

The OT world is full of opportunities to gather data and translate that data into useful information, but it requires reliable network architectures that provide streamlined communication between the OT and IT worlds. This session will explain the important strategy of TSN technology, which is revolutionizing and evolving simultaneously for digital transformation and Industry 4.0. 

TSN provides communication for various industrial networks and devices with synchronization up to one-millionth of a second. The benefit of this precise communication with TSN is that messaging can always come through so that production managers know up-to-date information. And with very precisely timed activities like motion control used in packaging and robotics, there are fewer quality issues in production. 

Benefits of TSN Technology:
- Deterministic Communication 
- Convergence of IT & OT Networks
- Standardized and Scalable
- High Availability & Reliability
- Future-Proofing Industrial Networks

Key Takeaways
1.     Understand what deterministic communication is and how this precise communication benefits network connectivity.
2.     Recognize how network convergence can benefit manufacturing networks.
3.     Learn how to future-proof networks for synchronization with IT and OT communication.

Understanding the Benefits of TSN Network Architecture for Digitalization

GenAI promises to fundamentally change IT operations and help organizations increasingly leverage their data estate. AI can theoretically make IT more efficient, effective, scalable, correct and possibly cheaper even as our IT environments get more complex, distributed and dynamic. Most significantly, AI should be able to address challenges and solve IT problems that legacy solutions simply can’t figure out! Yet today’s GenAI is also nearing the peak of it’s broader business hype cycle. Many are starting to realize that the truly effective application of AI models (like LLM's) needs to be properly scoped, fenced and integrated.

Come to our practical review and discussion about the state of the art in AI for IT. We’ll examine how GenAI is already being applied productively within IT solutions for Storage and Data Protection. We’ll dive deeper into AI in IT storage and data protection operations:

- Machine Learning (ML) v GenAI vs agentic AI vs AGI - where is there real value?
- Good vs. Bad practical uses of GenAI for IT and their organizations - more than a chatbot, less than a human?
- How to leverage GenAI specifically within and for Storage and Data Protection?
- What is RAG and how might we best take advantage of it? 
- What to watch out for when deploying AI in data-centric operations - does AI know about IP, Privacy, Security and all the governance we care about?
- Is agentic AI going to someday replace IT?

Can You Trust the Machine? AI Best Practices for Storage & Security

Storage is one of the highest costs in IT environments today. Ironically as the unit cost of storage has decreased, the overall cost has increased due to the sheer volume of data companies create, process and analyse. If companies don’t manage the underlying storage of their data, they run the risk of data storage becoming the expensive answer to everything.

This session from industry thought leader Simon Ratcliffe will explore how we can choose and apply AI solutions to help optimise and secure underlying storage platforms. With so many AI options available, how do companies make the right choice? How do they avoid the solution becoming yet another disconnected part of our infrastructure ecosystem? Tune in to learn how to tackle these issues and much more.

Picking the Right Tool for Storage Management

In today's high-stakes digital landscape, organizations face unprecedented risks to their data assets, from sophisticated cyber-attacks to system failures and natural disasters. While most enterprises focus on backup systems and recovery protocols, the true foundation of effective disaster recovery lies in robust data governance – the systematic approach to managing data as a valuable business asset.

Many organizations struggle to implement effective data governance frameworks, grappling with data quality issues, inconsistent standards, and complex regulatory requirements. The ISO 8000 standard offers a comprehensive solution, providing internationally recognized data quality management principles that strengthen everyday operations and disaster recovery capabilities. This proven framework helps organizations maintain data accuracy, completeness, and consistency – critical elements that determine the success of any recovery effort.

In this session, Obukohwo Akpede shares key insights on leveraging ISO 8000 principles to build a bulletproof disaster recovery strategy that protects your critical data assets and ensures business continuity across your enterprise.

Key takeaways:
- Decode the essential components of a data governance framework that enhances recovery capabilities while meeting international quality standards.
- Learn practical techniques for implementing ISO 8000 principles to improve data quality and recovery readiness.
- Discover how to align your governance strategy with your organization's specific recovery objectives and risk tolerance.
- Gain insights into measuring and maintaining governance effectiveness through metrics and continuous improvement.
- Understand how to transform compliance requirements into operational advantages that strengthen your recovery position.

Data Governance as a Foundation for Disaster Recovery: An ISO 8000 Perspective

Organizations everywhere are navigating an unprecedented surge in data complexity and volume that touches every aspect of their operations. As cyber threats evolve and regulatory landscapes shift, the integrity and availability of this data has become fundamental to business continuity. Organizations need storage and backup solutions that don't just protect data—they need strategies that transform data management into a competitive advantage.

The limitations of traditional storage and backup solutions are becoming increasingly apparent as companies face rising costs, operational inefficiencies, and heightened security risks. With ransomware threats escalating, compliance requirements tightening, and sustainability goals taking center stage, organizations must move beyond conventional approaches to data protection. Modern challenges demand transformative solutions that embrace hybrid cloud models, intelligent data tiering, and modernized backup architectures.

This session provides a practical roadmap for modernizing your storage environment and building a robust data protection framework that addresses today's challenges while preparing for tomorrow's demands.

Key Takeaways:
- Evaluate the impact of exponential data growth on your storage infrastructure and learn how to optimize for both efficiency and protection.
- Master hybrid cloud and intelligent data management strategies that reduce costs while enhancing data accessibility and security.
- Implement modern backup solutions that protect against ransomware through immutable storage and automated recovery workflows.
- Discover how DRaaS and advanced resilience strategies can minimize downtime while meeting compliance requirements.
- Build a strategic framework for assessing your current storage environment and prioritizing investments for future scalability.

Transformative Storage and Backup: Building Resilience in a Data-First World

Accelerating the Enterprise with AIOps

Doing real digital transformation of the enterprise means making major changes to how things and people work, and doing that right requires a lot of time and attention from IT. To make that time available, a lot of IT staff’s existing work needs to get easier and take less time and attention: enter AIOps, which uses new generations of AI to ease the burden on engineers and analysts. 

Join us as we identify some key areas where AIOps is up to the task, and how to begin the shift!

Transforming the Enterprise Takes Time: Accelerate Change and Free Up Staff Time With AIOps

AIOps

Digital Transformation

IT staff

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Transforming the Enterprise Takes Time: Accelerate Change and Free Up Staff Time With AIOps

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