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Deep Dive Discussions

Deep Dive Discussions

Deep dive discussions are where diverse perspectives and innovative ideas converge through dynamic dialogue. These roundtables, anchored by seasoned moderators, help engage IT leaders, share insights, and explore innovative solutions to pressing challenges.

01 - From Vision to Reality: Effective Change Management Strategies

While technology plays a crucial role in driving innovation and efficiency, its successful implementation depends heavily on effective change management. By prioritising communication, employee engagement, goal alignment, risk mitigation, and continuous improvement, organisations can increase the likelihood of success and realise the full potential of their technological investments.

Discussion Points:

  • The success factors of impactful transformation initiatives.  

  • Established techniques and methodologies for successful change management, including fostering a culture of openness and navigating resistance.

  • Real-world examples to illustrate the principles of successful change management and how they can be applied across various organisational contexts.

02 - Building a Strategic Roadmap for Scaling AI Adoption

It’s time for organisations to focus on practical business outcomes, assessing costs, and integrating AI comprehensively. Successful organisations recognise AI as more than just a technological breakthrough but a transformative tool for business operations, impacting digital transformation strategies.

Discussion Points:

  • The importance of understanding and aligning AI initiatives with organisational goals and priorities.

  • Addressing risks in AI implementation, including ethical considerations and regulatory compliance.

  • Incorporating flexibility into AI roadmaps to adapt to evolving technology and business needs through iterative planning and continuous evaluation.

03 - Ethics, Integrity, and Scale: Data Imperatives for Today’s Organisations

The phrase “Garbage in, garbage out” underscores the critical role of robust, trusted data in shaping organisations’ AI journeys. Yet, achieving this is challenging due to several factors: data often precedes technology and processes; data is frequently siloed across departments or systems; and data isn’t always leveraged as part of an organisation-wide strategy to enhance business value.

Discussion Points:

  • Setting up robust data quality standards and governance frameworks to ensure reliable, accurate, and integral data for AI applications.

  • Designing scalable data architectures to handle the increasing volume, variety, and velocity of data needed for AI, with cloud-based solutions and data lakes in mind.

  • Addressing ethical concerns in AI-driven decision-making by implementing safeguards against biases, ensuring privacy protection, and upholding ethical standards throughout AI development and deployment.

04 - Unleashing the Power of AIOps to Accelerate Digital Intensity

In today’s hyperconnected world, technology is driving unprecedented business transformation, posing new challenges for IT management. AIOps leverages AI, machine learning, and big data analytics to revolutionise IT operations, enabling organisations to proactively adapt and thrive.

Discussion Points:

  • Enhancing operational excellence, incident response, and customer experiences with AIOps.

  • Convergence of AIOps and Service Management, empowering technology teams to enhance service resilience and delivery.

  • Practical tips to kickstart your AIOps Journey.

05 - Low-Code/No-Code Automation: A New Frontier

The transformative potential of low-code/no-code platforms lies in their ability to democratise automation, empowering users at all levels of an organisation to drive efficiency, productivity, and innovation. As these platforms continue to evolve and mature, they will play an increasingly vital role in shaping the future of work and driving digital transformation across industries.

Discussion Points:

  • Ways to empower users with the technical expertise required to create applications and automate processes without extensive coding.

  • The importance of interoperability and compatibility to ensure seamless workflow automation and data exchange.

  • The need for new operating models with a group of solution architects and program managers at the business level.

06 - Finding Harmony in Customer Experience: Integrating Human Touch with AI

Customer experience is ripe for AI disruption, firmly falling within the purview of technology leaders now. As AI revolutionises customer experiences, providing personalised interactions, increased efficiency, and heightened satisfaction for both employees and customers, business teams will drive technology leaders to explore more CX use cases and ensure their trustworthiness.

Discussion Points:

  • The impact of emerging technologies on redefining CX models.

  • Key pain points in meeting customer demands and practical solutions to mitigating them, including a platform approach to integrate customer and employee experiences.

  • Best practices for leveraging customer intelligence to help drive efficiency and increase profitability.

07 - Hybrid by Design: Creating Consistent Workload Experiences

Organisations aspire to be customer-focused, innovative, and agile, relying on real-time, seamless data access. Hybrid cloud plays a pivotal role in meeting this business requirement by enabling flexible hosting of infrastructure, apps, and workloads across various environments based on dynamic business needs.

Discussion Points:

  • Best practices for determining workloads suitable for public cloud.

  • Ensuring consistent workload experiences regardless of hosting location.

  • The increasing importance of a FinOps model tailored to organisational needs.

08 - From Legacy to Leading-Edge: Modernising Network & Security with AI Automation

In the digital era, the network is more than just IT’s concern – it is the backbone of every successful digital business. Modernising it is essential for performance and security, yet many organisations lack the necessary management layer and trusted partners. Embracing modernisation is key to unlocking the network’s potential and ensuring a secure infrastructure, requiring robust governance, monitoring, and analytics.

Discussion Points:

  • Integrating AIOps into SD-WAN to enhance performance through dynamic forward error correction and data deduplication.

  • Modernising the security stack by migrating VPN and proxy to the cloud, incorporating emerging technologies such as SWG, ZTNA, and CASB for comprehensive control in multi-cloud environments.

  • Merging network and security functions to improve visibility, management, and issue resolution.

09 - A Unified Approach to Employee Productivity and Cybersecurity Risk Management

Organisations are adapting to new work paradigms, including hybrid practices, revamped office spaces, and enhanced connectivity for dispersed employees. However, this transformation can strain technology teams, as infrastructure teams focus on productivity while cybersecurity teams prioritize protection.

Discussion Points:

  • Security awareness training to educate employees on cybersecurity best practices.

  • Integrating cybersecurity measures seamlessly into productivity tools and workflows.

  • Implementing proactive threat detection mechanisms and incident response procedures to minimize disruptions and mitigate security breaches promptly.

10 - Investing in Observability for System Health and Security

Expanding technology architectures bring complexity, including interoperability issues, security risks, and management challenges It is time for organisations to invest in observability solutions that provide comprehensive views, enable proactive operations and foster innovation while enhancing the customer experience with reliable tech environments and consistent digital services.

Discussion Points:

  • A comprehensive evaluation of existing tools, identifying overlaps and gaps while seeking consolidation opportunities to streamline observability efforts.

  • Investing in integrative solutions to facilitate a seamless transition from monitoring to observability, empowering teams to interpret rich data effectively.

  • Fostering a proactive culture by upskilling teams to leverage advanced observability tools, using insights for continuous improvement, and enhancing system reliability.

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