Name: I3 – Agile – Moving Mindsets to the Cloud
Start: 2021-05-12T01:00:00Z
End: 2021-05-12T01:00:36.000Z
Location: BrightTALK
Rating: 0

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.

Traditional application hosting strategies are increasingly redundant. As user expectations for instant access and seamless experiences grow, businesses are facing challenges like increased latency and security risks that hinder performance and harm customer satisfaction. 

Edge computing emerges as a transformative strategy that addresses these challenges by bringing computing resources closer to the end-user. This decentralization reduces latency and opens new avenues for enhanced security and scalability, allowing enterprises to host their applications more effectively alongside existing on-premises and cloud infrastructures.

In this session, Harri Gollipalli (Senior Software Development Manager at PayPal) will dive into the organizational approach to adopting edge computing. Join the session to get practical strategies for deploying edge solutions, enhancing security frameworks, and significantly improving application performance—all critical elements for staying competitive in a rapidly changing market.

Key Takeaways
- Enhanced Security: Learn how edge computing can reinforce your enterprise's security posture.
- Efficient Deployment: Gain insights into deploying applications at the edge for optimal performance.
- Improved Performance: Explore techniques to reduce latency and elevate the overall customer experience.
- And more...

Strategic Edge Computing: Elevating Security and Performance for Enterprises

The rapid expansion of edge computing has introduced new cybersecurity challenges, particularly in decentralized and distributed environments. This presentation explores the emerging role of Generative AI (GenAI) in addressing these challenges and potentially reshaping the landscape of edge security.

We'll examine the current state of threat detection and response in edge computing, discussing its unique vulnerabilities and the limitations of traditional security approaches. The session will then delve into how GenAI technologies are being applied to enhance real-time threat detection, enable predictive analytics, and facilitate automated responses.

Through a series of case studies and theoretical models, we'll explore the potential benefits and limitations of GenAI in edge security. We'll discuss the broader implications of this technology for the future of cybersecurity, including ethical considerations and potential areas for further research and development.

Key Takeaways:
- Understand the specific security challenges unique to edge computing environments.
- Gain insights into the current and potential applications of GenAI in cybersecurity.
- Evaluate the effectiveness of GenAI-powered solutions in real-time threat detection and response.
- Hear real-world case studies of GenAI in action across various industries.

About the Speaker
Inna Ushakova is a pioneering tech entrepreneur who has built two successful and recognized companies, Scalarr and AI EdgeLabs, in the fields of AI-driven fraud prevention and cybersecurity.

Leveraging GenAI for Advanced Threat Detection and Response in Edge Computing

Edge computing plays a crucial role in industrial automation, particularly in enhancing communications. Here’s how:

1. REDUCED LATENCY:  By processing data closer to the source, edge computing minimizes the need to send data to a centralized cloud or data center. This significantly reduces latency, allowing for near-real-time decision-making and control.

2. IMPROVED RELIABILITY: Industrial environments often have connectivity challenges, such as network interruptions or bandwidth limitations. Edge computing ensures that essential operations can continue even if the connection to the central cloud is disrupted, enhancing system reliability and uptime.

3. EFFICIENT BANDWIDTH USAGE: Edge computing reduces the amount of data that needs to be transmitted to the cloud by filtering, aggregating, and analyzing data locally. Only the most relevant or summarized data is sent, which optimizes bandwidth usage and reduces communication costs.

4. ENHANCED SECURITY: Sensitive data can be processed and stored locally at the edge, minimizing the risk of exposure during transmission to the cloud. This decentralized approach can improve data security and compliance with regulations, especially in industries with stringent data protection requirements.

5. SCALABILITY: As industrial operations grow and more devices are connected (through IoT expansion), edge computing can help manage the increased data load without overwhelming central systems. It allows for scalable deployment of resources where they are needed most, at the edge of the network.

6. SUPPORT FOR REAL-TIME ANALYTICS AND AI: Edge computing enables the deployment of AI and machine learning algorithms directly at the production site. This capability supports real-time analytics and decision-making, improving process efficiency and productivity without relying on distant cloud resources.

Tune into this session to learn more.

The Value of Industrial Communications in Edge Computing

As generative AI copilots/ virtual assistants become widely available, companies are often struggling with justifying licensing and training costs, and in measuring ROI. In this session, Metrigy's Irwin Lazar, president and principal analyst, will share insights gathered from hundreds of end-user organizations. 

Attendees will learn: 
- How to measure ROI for generative AI collaboration tools. 
- How best to train users. 
- How generative AI apps are changing collaboration application deployments - How to translate time savings into measurable business value.

Realizing ROI for Generative AI in Collaboration

The “If you deploy it, they will use it” approach doesn’t work when it comes to UCC. Too many IT professionals focus exclusively on the architecture and design for UCC solutions, without taking into account the role of end user usage, adoption, and training to drive the overall success of a UCC. solution. This session we will focus on why end user adoption and training are so important, key findings from a usage and adoption study, and steps to drive adoption in order to get the most out of your UCC solution.

Key Takeaways 
- Why usage and adoption are even more important than the UCC technology itself
- How to develop a UCC end user adoption strategy
- Best practices for UCC training and adoption
- How to overcome some of the roadblocks to driving user adoption

Rethinking Unified Comms User Adoption

How can businesses effectively evaluate the diverse range of Low Code/No Code platforms available and identify the best fit for their specific needs and objectives?

Join serial entrepreneur and GTM expert Chaitra Vedullapalli, CISO and cybersecurity leader Cherie Griffith-Dunn, and IT executive Dexter Hardy as they discuss how organizations can effectively evaluate these technologies through various lenses, including: cost savings, time to market, employee productivity, and more.

Navigating the Low Code/No Code Landscape: Key Considerations for Your Business

The key to optimal SAN performance is managing performance impacts due to congestion. The Fibre Channel industry introduced Fabric Notifications as a key resiliency mechanism for storage networks in 2021 to combat congestion, link integrity, and delivery errors. These functions have been implemented by the ecosystem and have enhanced the overall user experience when deploying Fibre Channel SANs. This webinar explores the evolution of Fabric Notifications and the available solutions of this exciting new technology. In this webinar, you will learn the following:
• The state of Fabric Notifications as defined by the Fibre Channel standards.
• The mechanisms and techniques for implementing Fabric Notifications.
• The currently available solutions deploying Fabric Notifications.

The Evolution of Congestion Management in Fibre Channel

Organizations often operate data centers in multiple locations and are often geographically distributed to provide scale and disaster recovery capabilities. As with any fabric topology, scalability, data integrity and security are key requirements. This webinar will discuss how Fibre Channel can be effectively deployed in these applications using optical transport technology.  Topics to be covered:
• Optical Transport 101: A brief survey of optical networking (DWDM) technology 
• Fibre Channel transport via OTN 
• Robustness: Optical transport protection options: Resiliency against fiber outages
• Security: Optical transport OTN encryption: No-overhead layer 1 encryption that can be combined with IPSec or other higher-layer security protocols

Fibre Channel Data Center Interconnects (DCI): 64G FC and More

Just like a well-constructed burger requires carefully layering the right ingredients, securing multi-cluster deployments demands a thoughtful, layered approach. In this webinar, we'll deconstruct the multi-cluster burger, peeling back each layer to reveal security strategies for the infrastructure, applications, data, networking, observability, and overall security of components.

Key Takeaways
- Clarity on the different components or "layers" that make up a typical multi-cluster architecture.
- Insights into adopting a layered approach to security in multi-cluster and hybrid environments. They'll learn the importance of implementing security controls and best practices at each layer.
- Strategies for enforcing consistent security policies, access controls, and governance across all clusters and components in a multi-cluster setup.
- Need for centralized monitoring, logging, and observability tools to gain end-to-end visibility into the security posture and health of the entire stack.

Unwrapping Multi-Cluster Security: One Layer At A Time

One of the great challenges when implementing cybersecurity protection mechanisms is deciding between building a solution with a collection of "best-of -breed" solutions from various vendors or using a solution that can provide multiple layers of security using one overarching platform. There are good reasons to go in either direction. So how do you decide which is best for your specific needs? 

The presentation will provide useful insight to help you make that decision. It will provide useful information and consideration elements that can allow you to make the appropriate choice between various security products or a composite platform solution. 

Join this discussion to learn:
- How to evaluate various cybersecurity products.
- What is the difference between "best-of-breed" components and a platform solution.
- Cost and manpower considerations associated with the different solutions.
- The ability to use both of the options together for optimal protection.
- The various environments where each of the options would be considered the better solution.
- Creating a rational and defensible argument for your decision.

Best-of-Breed or a Platform Solution: Which is the Better Play?

Network infrastructure outages occur due to various factors like natural disasters, intentional attacks, and network failures. These outages are likely to result in the unavailability of critical network elements, impacts on services, and disruption of traffic flows. In order to protect themselves, companies should aim to implement strategies that both enable them to resist and tolerate failure and to recover mission critical communication elements within a business acceptable timescale. However, achieving this whole commitment can become a huge feat, dependent on the scope and age of the infrastructure, engagement with network providers, local distribution across multiple types of connectivity and services as well as the resources and network capacity necessary to manage the organizations “technology estate”.

Companies should ask themselves (as a starter) what strategy they are planning for and how they can best achieve this strategy within their technology structure. 

Tune into this session presented by our business continuity, disaster recovery, cyber resilience and major incident expert Steve Yates as he brings to light tips to redefine network infrastructure strategies in the “new world” as well as areas that companies must consider when considering resources and timescales for restoration of critical network services. Viewers are encouraged to privately share their major concerns in advance if they wish to gain the most from this session.

Viewers will come away from this session with the following takeaways:
- Become aware of common challenges they may encounter. 
- Form an understanding of redefining strategic direction.
- Ensure your organization embraces a joined-up thinking approach when delivering infrastructure resilience.

Redefining Network Infrastructure Strategies: What is the Key?

The advent of AI, deep learning, and GenAI has set the stage for a paradigm shift in the telecommunications industry, promising to revolutionize network automation, customer experience, and workforce efficiency. As we navigate the dynamic landscape of 2024, these technologies are at the forefront of driving innovation, optimizing network performance, and tailoring services to meet the evolving demands of end-users. This comprehensive analysis delves into the foundational principles of AI, deep learning and GenAI, exploring their unique capabilities and practical applications in a B2B context, particularly within highly regulated sectors like telecommunications. 

What participants will learn: 
- Robust understanding of the core concepts of AI, deep learning and GenAI, and how these technologies redefine the capabilities of telecom companies. 
- How GenAI can automate network operations, reduce downtime, and enhance service quality. 
- How AI and GenAI can analyze expansive data sets to improve network quality and tailor services to individual user preferences. 
- How automating repetitive tasks and providing intelligent insights can optimize the telecom workforce, reducing operational costs and fostering business agility. 
- The legal considerations of deploying Gen AI in telecom, ensuring compliance with global regulations.
- How AI and GenAI can be strategically leveraged to enhance network efficiency, customer satisfaction, and operational excellence.
- How GenAI can facilitate the deployment of advanced applications and services, driving innovation and competitive differentiation. 
- The ethical considerations and sustainable practices essential for the responsible deployment of GenAI.
- Risks associated with GenAI and strategies to mitigate these challenges, ensuring secure and unbiased applications. 
- The evolving legal landscape and the importance of specialized legal expertise in successfully navigating Gen AI applications in telecom.

Decoding GenAI for Networks

The ability to connect networks together is the single most important thing to enable digital transformation.  

This session will focus on everything you need to know to streamline your network infrastructure and glean the most data and information from disparate and disconnected networks and devices. Digital transformation involves converting data into useful information and sharing the information between OT and IT. Using advanced connectivity, new automation opportunities  help control and configuration applications to run simultaneously on the same physical wire. 

Learn how to maximize your network and devices running control operations and add new devices without shutting the network down. These new networks allow your printers, video systems, and data analytic applications to co-exist on the same wire as your control system. Using new TSN (time-sensitive networking) technology, we will explore how you can maximize connectivity and disparate networks and disparate devices coexisting for the ultimate interoperability
 
Key takeaways 
- How to maximize the efficiency of all your IT and OT networks, and how you can connect the IT and OT world while sharing data and information seamlessly.
- How to maintain your network in the most efficient fashion and connect your legacy devices and legacy networks to the new network technology in a seamless fashion.
- The importance of data and the multitude of opportunities to get data out of your plant floor and other facility operations, which will enable you to maximize the efficiency of your operations. 
- How you can maintain your assets and add/delete/modify their configuration  to obtain data without impacting the operations of your plant.

Enable Digital Transformation With the Right Network Infrastructure

As IT ecosystems undergo digital transformation, organizations must reassess and reshape existing network architectures. The relentless growth of network traffic, coupled with big data aggregation across multi-cloud environments, renders traditional network models for monitoring and decision-making unaffordable and obsolete.

Traditional network architectures, integrating the control plane and data plane, face challenges tied to the configuration of physical network devices, supported protocols, and accompanying software. The solution lies in AI and ML-powered network architectures, offering intelligent tools for:
- Centralized control
- Increased network scalability
- Clear network visibility
- Improved operational efficiency through automation and intelligence
- Processing vast volumes of data
- Conducting data analytics
- Enhancing security and reducing vulnerability to cyber threats

Join us to learn how to harness the Power of AI and ML, redefining and accommodating the expansion of network architectures.

Leveraging the Power of AI and ML to Redefine and Reshape Network Architectures

In the midst of rapidly advancing technological progress, the rise of digitization and remote work has become a prevailing trend. As a result, critical infrastructures are increasingly susceptible to new risks, continually expanding the realm of cybersecurity threats and attack methods. 

Consequently, organizations are more inclined to entertain the notion of paying ransoms to threat actors. It is imperative for organizations to remain vigilant against these emerging threats to safeguard their systems. The recent proliferation of artificial intelligence (AI) technology has given rise to AI-powered cyber-attacks, which are experiencing exponential growth. This development has facilitated cybercriminals in creating sophisticated and innovative malware embedded with new zero-day vulnerabilities. 

AI-powered cyber-attacks leverage machine learning to adapt to evolving defenses and devise novel methods to circumvent them, all while remaining undetected. This enables them to establish an illicit, enduring presence within networks for the purpose of extracting highly sensitive data. 

In order to effectively counter advanced cyber-attacks, organizations must adopt a comprehensive approach and incorporate zero trust principles into their architecture. This involves: 
- Treating every device, node, or entity as a potential threat point. 
- Implementing explicit identification, authentication, and authorization measures. 
- Embracing a default deny model as opposed to a default access model. 
- Developing proactive incident response plans. 
- Providing cybersecurity best practices training for employees. 
- Deploying AI-powered cybersecurity solutions. 

We invite you to engage in thoughtful discourse on these topics, cultivating a clear understanding and exploring strategies for integrating zero trust into your scalable enterprise architecture.

Integrating Zero Trust in a Scalable Enterprise Architecture

While there has been excitement about NIST’s Zero Trust Architecture, many companies are struggling to figure out the right way to go about implementing zero trust. 

Join Jerald Murphy from Nemertes as he discusses one way to approach moving towards zero trust without getting overwhelmed.

How to Develop a Zero Trust Implementation Guide

Ransomware attacks continue to escalate in the enterprise. Analyst groups report that such attacks were occurring every 11 seconds in 2021 with the frequency increasing all the time. Analysts further note mean recovery costs of US$1.82M, median payments of US$400K, and total 2023 ransom payments in excess of US$1 billion. It is a serious threat to the enterprise, and one that is growing every day.

Traditional, single-layer protection mechanisms (i.e., firewall) can be easy to circumvent by clever ransomware tactics (e.g., breaking up the ransomware into pieces and reassembling it once it passes through the firewall). This vendor-agnostic presentation will review the architecture and benefits of a multilayer, collaborate network-to-storage protection architecture that is starting to be implemented by some vendors and will likely become more commonplace going forward.

Defeating Ransomware: Exploring a Collaborative Network-to-Storage Architecture

Achieving network resilience is not just a matter of having the latest ransomware software or firewall technology. Building sustainability, environmental management and green technology into a network infrastructure can help ensure its survival and resilience. 

This session will examine strategies and technologies that not only bolster your network’s green attributes but also enhance its resilience. You’ll also be better prepared for network audits that examine the use of green technology.

Can Sustainability & Green Tech Help You Achieve Network Resilience? Of Course!

Some organisations have already moved to the cloud. Many are in the process of moving. And many more still believe their local instances are the only connections their staff use. Regardless of where you are on this journey, it is important to recognise the mindset that is driving you, your team and the decision-making process that will ultimately determine how successful your endeavours are.
I3 – Identity, Infrastructure, and Insights. Thinking, strategizing, and planning technology and digital adoption around the user. These categories help thought leaders identify the key areas in which the Digital world meets the physical world.
Agile Mindsets have been flowing the tech and business worlds like wildfire. This mindset, adopted to meet the specific needs and culture of the organisation will help focus on the end user to help avoid “goat tracks” and shadow IT from circumnavigating the digital intent of the organisation.

I3 – Agile – Moving Mindsets to the Cloud

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I3 – Agile – Moving Mindsets to the Cloud

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