IT service management forms the backbone of any forward looking IT infrastructure.  Whether it’s the latest trends, techniques or strategies, the content in this channel will help you optimize your organization's IT operations.

AI and automation support ITSM by optimizing high-volume processes for better and more consistent outcomes, delivered faster, at a lower cost. Key challenges in unlocking these technologies are:

Identifying and prioritizing opportunities
Documenting the current state (as-is)
Finding or generating data for modeling and designing the to-be state
Validation, change management and deployment
Benefit realization rate analysis
Process Intelligence, which automatically creates transparency around digital processes, bridges many of these key gaps reducing the risk of AI and automation projects and most importantly, provides a mechanism for systematically scaling such efforts, including providing evidence of the high ROI achieved. It is therefore an essential tool for unlocking the fly wheel required to succeed with digital transformation.

Join us for this session to learn how Skan’s Process Intelligence can be used for a systematic approach to succeeding and scaling AI and automation in ITSM.

Process Intelligence unlocks the potential of AI and automation in ITSM

More and more IT organizations are using AI/ML in their IT Service Management landscape. Think about: self-service using virtual assistants, AIOps, ChatOps, Service failure prediction, automated remediation, etc. But how mature are these AI capabilities for ITSM? What is possible today? Where to start? What is coming next? 

This presentation is about how Artificial Intelligence and Machine Learning can be used in your IT value streams, supporting your ITSM and DevOps transformation activities. 

Learn how you can leverage AI/ML in your IT organization to streamline and automate IT activities. 

Key questions discussed in this presentation:

-How does AI/ML fit into your overall IT service management landscape (of processes and tools)?
-What AI/ML features are currently available to support your IT value streams?
-How can you benefit from AI/ML?
-Where to start the AI journey in your IT organization? 
-What are the future developments and trends of applying AI/ML in DevOps and ITSM?

Leveraging AI in DevOps and IT Service Management

Globe Telecom has been a leader in enterprise digital transformation since 2014, realizing clear benefits in the area of adaptive infrastructure to drive business agility at scale.  This webinar will talk how Globe and Cascadeo works with its customers to achieve similar success, and how AI-Assisted operations leads to reduced human operational workload, downtime, tooling, and expense. This is achieved through our AIOps solution, cascadeo.io , an IT service intelligence platform, with data analytics at its core, covering all major public cloud platforms.

Accelerating Service Management Automation via Next Gen AI-Assisted Operations

The modern worker expects a flawless digital experience while working from the office, home, anywhere — nearly a third of employees have changed jobs due to poorly performing workplace systems and technology.

While employee retention becomes a key corporate objective, IT operations are increasingly blind to the performance of modern applications: 42% of users report performance issues with SaaS solutions, but 39% escape detection by existing monitoring tools.*
What’s changed? Modern, cloud-powered applications redefine app delivery by accelerating the adoption of cloud-powered security, access and networking with SASE, SWG, CASB and SD WAN that both enable and impact a distributed workforce.

This session will explore how essential cloud technologies are creating this new visibility gap by illustrating it with live examples from global-scale enterprise networks in manufacturing, retail and eCommerce verticals.

Learn how visibility can be reestablished across this new digital infrastructure by combining agentless real user monitoring with AI-enabled synthetic testing. See how correlating the dynamic traffic path with user-centric performance metrics reveals the digital employee experience, and empowers IT operations to optimise it.

The live demonstrations in this session will be based on real-time data collected from over 100 global locations and over a billion daily user transactions.

[* Statistics from NTT Global Services report 2021, ESG insights, EMA, Digital Enterprise Journal and Workfront 2021]

Gain 360° Visibility for Modern App Performance: Deliver an Amazing UX

Over the last year a lot has happened in the world.  COVID, although central and heavily impacting all of our lives in one way or another, is  unfortunately not the only virus that has been a topic of conversation.  In the last year the focus has shifted to bring the attention on cyber security and the impact of vulnerabilities in the software and systems many organizations often considered were secure.  The President of United States’ executive order on cyber security has fanned the flame to push for greater measures to protect against threats and mitigate vulnerabilities more effectively.  In this talk we will explore recent reported vulnerabilities, some of the advancements being developed in the open source community and how a focus on the Sec in DevSecOps can help your organization through more effective processes and best practices in your SDLC.

Next Gen DevSecOps: The Criticality of Software Supply Chain Security in SDLC

Today organizations and businesses’ operations depend on technology to achieve optimal levels of productivity and efficiency and drive world-class business outcomes and superior success. ITSM solutions are crucial to ensure regulatory compliance and create a security perimeter that can protect data and users everywhere in the cloud, without introducing friction to the business. We bring our deep IT industry and functional expertise and a range of perspectives to illustrate how to design and deliver ITSM solutions that unlock the full potential of remote work and modern cloud-based solutions.
ITSM systems are essential to:

• GENERATE BUSINESS VALUE FROM A SINGLE PANE OF GLASS
Bring all applications, systems, and third-party solutions together and unify their management and optimization to deliver more value and meet customer needs and business requirements.

• ALIGN IT AND BUSINESS TO CONNECT EMPLOYEES, CUSTOMERS, AND EXTERNAL PROVIDERS
Deliver company-wide service transparency and efficiency to turn best-practice ITSM principles into strategic value while making business more efficient, compliant, and secure. 

Join us to learn about the challenges and benefits of using ITSM systems to:

• Manage Enterprise Connectivity and SASE solutions to modernize the networking infrastructure and support a remote workforce
• Use SASE and Zero Trust solutions, platforms and frameworks to sustain the evolution of workforce security and productivity
• Protect and secure the North-South traffic and improve security, lower costs, and simplify operations
• Monitor the main metrics needed to guide the delivery of enterprise-grade services
• Adopt a Zero Trust Security approach to secure the Digital Edge delivers world-class Employee Experiences and User Experiences

Managing Networking and Connectivity

With the consumerization of enterprise IT, employees are expecting the same level of service excellence from IT service management (ITSM) solutions. Users expect enterprise services to be delivered instantly, in the device and channel of their preference, with a high degree of personalization and without having to talk to someone. Leading enterprises are now transforming toward ITSM+ by embracing cognitive AI, Robotic Process Automation and Conversational Experience, which promise to boost productivity while using fewer resources, achieving greater cost savings and delivering an engaging customer experience for enhanced satisfaction.
 
In this talk, we will start by drawing the Service Desk Journey, from Help Desk to Today's Segregated Service Desk, highlighting business and operational challenges affecting Employees, Customers and Service Desk Service Agents. We will then introduce the new paradigm shift of ITSM+, and present in great details the a novel five-layer reference architecture. We will walk the audience through each of the comprising layers and conclude with how to get started in this disruptive digital transformation.

How to Implement an AI Service Desk for Enterprise IT

Service management frameworks all tell us of the importance of service value. But how do we measure that value? And how do we use those measurements to manage our services? In this presentation, we look at service value in the context of service systems. A typology of service values is described. We recommend metrics for measuring each type of service value. Finally, we look at who uses those measurements and how they contribute to managing services.

Measuring Service Value

Among the many factors that continue to drive change in today’s ever-evolving business landscape, two stand out: digital transformation and COVID-19. With COVID-19, IT organizations and service management teams are shifting priorities. The challenges with supporting remote workforces suddenly changed, resulting in new mandatory requirements for an agile, flexible, yet resilient approach to delivering better employee experiences while trying to maintain business growth.
 
Digital interactions are the new norm, where large populations of remote workers require support services by IT services. The best modern support experiences leverage AI and hyperautomation to give employees a personalized and frictionless experience across all channels. Scaling service experience with self-help AI-driven resolutions and end-to-end automation to augment business tasks, actions, and workflows are the key to accelerating business transformation.

Why Digital Transformation Matters for Improved Employee Experience

“We need to be, and remain, fluid in the way we approach change beyond digital transformation!”

So many understand and experience innovation differently. Creating something new often means living on the outside edge. However, it’s often when you’re on the ‘IN’side that your curiosity and detective work opens up depths to new paths you didn’t know existed. Mostly, we only skim the surface of innovation’s potential. Do you want to ‘dunk’ under the surface or submerse yourself?

Let’s briefly explore the thinking, context and abilities that develop from being IN on Innovation and the maturing relationships between frameworks and their impact on humanising IT.

Being IN on Innovation - An art, a science, a mindset!

ITSM solutions to capture the full benefits of today’s hybrid working models and geographically distributed teams.

Organizations are shaping — and being shaped by — today’s shift to remote working, and hybrid work models that combine remote and onsite work are rapidly becoming the dominant ones the world over. Rapidly evolving online collaborative platforms bring geographically-distributed teams together, anytime, anywhere. Remote working creates significant new challenges for organizations that now need to protect cloud-based data, users, applications, and infrastructure on modern collaborative working platforms.

In this seminar, a panel of experienced professionals demonstrates how to combine ITSM with ESM (Enterprise Service Management) and SIAM (Service Integration & Management) capabilities to ensure the continuous delivery of the mission-critical managed services to securely connect users, applications, and data the world over.

• Deliver reliable, high-availability network and security solutions to embrace the Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE) frameworks to converge networking and security into the cloud, and serve the needs of global customers
• Manage Accelerated, Flexible DevOps Pipelines with Modern Enterprise IT Service Management automation 
• Collaborate through SIAM across regions 
• Complete integration of external suppliers and service providers
• Orchestrate Multi-Provider Management with Advanced Service Integration & Management (SIAM) to support dynamic sourcing model
• Leverage ITSM to provide the automation, cloud-scale, and intrinsic security needed to connect

THE COMPLETE SERVICE MANAGEMENT PLATFORM at the convergence of ITSM and DevOps

Reporting only at the technical level in Information Technology only impedes ITSM success. The goal is to drive business performance, growth, and sustainability through technology. To begin, you need to understand the current ITSM environment that manages the technology performance. Once this is understood, set the intentions to mature business performance through the use of metrics.  In this webinar,  I'll cover ITSM metrics and the essential business maturity metrics that provide a well rounded outlet to measure ITSM and its impact or influence to business performance.

- IT as a strategic business unit
- Business Maturity metrics provide the business perspective
- Maturity Metrics bundle for ITSM and business performance

Maturity Through Metrics

Delivering enhanced digital experiences have become a competitive advantage for any organization. As a result, business models have moved towards the digital experience economy. Technologies such as application programming interfaces (APIs), integration platforms, identity and access management solutions, cloud offerings, and big data enable a steady observability layer to understand consumer usage patterns and trends. In addition, connected products enhance the number of data points fed into the observability layer at the edge. 

In this keynote, Asanka will look at how a connected product can be brought into a digital ecosystem to enhance customer experiences and increase revenue. He will share reference architectures and real-world success stories to provide a pragmatic approach to digital strategists and crafters. 

Bio for Asanka Abeysinghe:

Asanka’s goal is to connect humans and technology by helping organizations implement digital transformation programs that result in consumer-driven digital applications. In his current role as the Chief Technology Evangelist, Asanka drives efforts to create, refine, and enhance WSO2’s corporate reference architecture and is responsible for spearheading a thought leadership outlook that defines WSO2’s corporate reference methodology for development, customer success, and implementation. Working closely with customers, partners, and analysts, he evangelizes WSO2’s technology vision. Asanka has over 20 years of industry experience, which includes designing and implementing highly scalable distributed systems, SOA and microservice architectures in the financial domain, mobile platforms, and various business integration solutions. He is also a committer of the Apache Software Foundation. Asanka is a regular speaker at numerous global events, and many tech meetups in the San Francisco Bay Area.

Fuelling the Digital Experience Economy with Connected Products

Almost no organization has a solid CMDB underpinning their IT processes. You probably also have a CMDB that is not up to date nor equipped to do the job, despite all efforts including implementing automated inventory and discovery.  

The question is: should we even try to manage the CMDB in this dynamic cloud ecosystem where resources are dynamically deployed and turned off again? Is the current approach to the CMDB suitable for the new multi-vendor digital ecosystem with micro-services, containers, and cloud (e.g. IAAS, SAAS)? 

In this session we will discuss: 
- How CMDB will evolve 
- How to get configuration management on track 
- How to ensure CMDB is up-to-date 
- Why CMDB initiatives have failed, and how to fix this approach

Forget the CMDB, it Will Never Be Your Friend!

More and more organizations are moving vital workloads on to cloud architecture, especially their data. However, many are not ensuring that the same level of monitoring that they would perform in an on-premises environment. Performance problems on cloud infrastructures don’t simply result in slower databases, but in higher overall costs. This session will walk you through why you need to monitor your databases in the cloud. We’ll discuss some of the built-in architectures available to you using Azure and AWS as examples. We’ll also walk through additional resources from building your own monitoring solution to taking advantage of third party tooling. Moving to the cloud carries all sorts of advantages, but you need to be prepared to appropriately monitor your databases too. This session will help you get started.

The Importance of Database Monitoring on Cloud Platforms

How Conversational AI & RPA Accelerates ITSM Automation

Test Automation Architectures (The Pyramid and More)

Open Source Online DevOps Dojo

The Fast-Track to Achieving ITSM Automation Success

Unifying Service and Operations Management

Inside ITSM and DevOps in 2021

DevOps and ITSM: Marriage made in organization

Achieving true agility through programmability and automation.

Advancing DevSecOps Metrics: Resolving the Known Unknown

Transform IT operations with visibility and AIOps

Testing in Production

Monitoring Java Applications with Prometheus and Grafana

Link ITSM KPIs to corporate L&D and Innovation

How ITSM & DevOps underpin future Ways of Working at Nationwide Building Society

See how ITSM and ITOM gives you visibility across your enterprise

Mastering DevOps with AI Powered Change Risk Prediction

Increase App Confidence using CI/CD and Infrastructure as Code

ITSM & DevOps - Friends or Foes

5 Levels of High Availability: from Multi-instance to Hybrid Cloud

Powering Digital Transformation with Advanced ITSM 2021

While getting so many benefits on DevOps and automation, nothing is more ubiquitous than the measuring the progress. There is a tremendous value of each stage of the delivery pipeline, from project inception to application deployment into the production environment and beyond on supporting operationally. When you collect the right data and visualize them properly, you will have continuous feedback on various stages to all stakeholders, great transparency and visibility, traceability of any given changes throughout the lifecycle, most importantly learning from each success and failure as a team. However, there are some challenges in selecting the right metrics, collecting data on various distinct development tools, overseeing many projects with different development teams and correlate distinct sources of data

How to choose right metrics to measure DevOps practices?

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How to choose right metrics to measure DevOps practices?

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