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GOLD COAST, Australia, September 11, 2023

Gartner IT Symposium/Xpo 2023 APAC: Day 1 Highlights

We are bringing you news and highlights from Gartner IT Symposium/Xpo, taking place this week on the Gold Coast, Australia. Below is a collection of the key announcements and insights coming out of the conference.

On Day 1 of the conference, we are covering sessions on how to build the right cloud operating model, deploying generative AI in the enterprise, meeting the evolving needs of boards, and the secret to delivering AI at scale.

Key Announcements

Build the Right Cloud Operating Model to Deliver Better Business Outcomes

Presented by Michael Warrilow, VP Analyst, Gartner

To accelerate digital innovation, technology teams must go beyond cloud centers of competence. In this session, Michael Warrilow, VP Analyst at Gartner, explains the importance of sponsoring a cloud center of excellence that empowers and enables the business; drives a transformative approach to infrastructure and operations; and places an emphasis on agility throughout the rest of the I&T operating model. 

Key Takeaways

  • “If you don’t plan for cloud adoption in your organization, you don’t establish a vision for the future and actively work towards it. It’s either already a source of conflict and inefficiency now, or it will become so in the future.”
  • “There’s no one true cloud operating model. The best model will depend on your overall I&T model, business objectives, corporate culture, along with the peculiarities and quirks of your organization, including leadership strengths and weaknesses.”
  • “Even though there’s no single best model, good models share a number of common traits - general consensus, executive sponsorship, clear allocations of responsibility, and mechanisms for collaborative decision making and sharing of best practices.”
  • “At the core of good cloud operating models is what for many organizations will be a mindset shift in the delivery of IT, business outcome and execution.”
  • “Almost all organizations will find benefit in a cloud-optimized management style, which means you don’t change your applications, but you do optimize your infrastructure design for the cloud.”
  • “Jamming cloud computing into overworked technology silos is least likely to succeed. Build an evolutionary cloud operating model with C-level sponsorship and clear lines of responsibility.”
  • “Establish a cloud center of excellence to provide cloud governance, brokerage and transformation capabilities.”

Beyond the ChatGPT Hype: Deploying Generative AI in the Enterprise

Presented by Arun Chandrasekaran, Distinguished VP Analyst, Gartner

Generative AI is a powerful trend that harnesses AI applications such as ChatGPT and Bard to create new and original content. In this session, Arun Chandrasekaran, Distinguished VP Analyst at Gartner, discussed the current state of generative AI - key use cases, technology landscape - and how it will evolve in the future. 

Key Takeaways

  • “Generative AI will reset our lives in a profound way. It represents the next phase of artificial intelligence — the unleashing of machine creativity.” 
  • “It’s likely that your organization will encounter a host of trust, risk, security, privacy and ethical questions as you start to develop generative AI use cases. Try to balance business value with risks.”
  • “Create a position paper for your company that outlines the benefits, risks, opportunities and deployment roadmap for generative AI.”
  • “Ensure your generative AI strategy and use cases align with your business goals, with clear assigned ownership and business metrics to measure. Create a tiger team within IT that works with business units on ideation, prototyping and demonstrating value.”
  • “Instill responsible AI practices throughout your organization to promote the ethical and safe use of generative AI.”
  • “Facilitate seamless machine-human interaction through UX redesign, feedback loop and education on prompt engineering.”
  • “Designate an incubation team to monitor industry developments, communicate the “art of possible”, run pilots with business units and share valuable lessons learnt across the company.”
  • “Prepare employees for this upheaval through skills retraining, career mapping and emotional support resources.”

How CIOs Can Meet the Evolving Needs of the Board of Directors

Presented by Partha Iyengar, Distinguished VP Analyst, Gartner

The pandemic, geopolitical shifts and changing economic dynamics have created material changes in the priorities and composition of boards of directors. In this session, Partha Iyengar, Distinguished VP Analyst at Gartner, outlined how CIOs can engage with their boards and strategically address the issues that boards and their enterprises will care about most in 2024.

Key Takeaways

  • “Boards want to know how CIOs will manage the risks and opportunities of cybersecurity, AI, talent, social responsibility, environmental impact and supply chain.”
  • “Demonstrate how your cyber risk strategy and appetite align with your enterprise. Be transparent about security controls and technologies, while also detailing crisis plans and activities.
  • “To increase the board’s comfort level with AI, explain how it works and use potential use cases to bring it to life. Set realistic expectations regarding enterprise readiness and technology maturity, while addressing the range of risks."
  • “Demonstrate how technology is facilitating social data collection and analysis. Present data showing progress on social issues and explain how technology is increasing stakeholder transparency around social responsibility.”
  • “Align environmental sustainability activities with enterprise strategy. Advise the board on environmental risks to operations and technology, as well as how technology can be used to optimize consumption and reduce costs."
  • “Boards are focused on competitive, strategically prioritized and tech-enabled talent. Ensure future staffing needs are based on enterprise strategy and that you have plans to fulfill it.”
  • “Define your supply chain technology strategy. Focus on initiatives that will increase productivity and efficiency, as well as investments in supply chain resiliency and security. Demonstrate where the business would benefit from innovation."

 

AI Engineering, the Secret to Delivering AI at Scale

Presented by Pieter den Hamer, VP Analyst, Gartner

Evolving from AI pilots to production is challenging for many organizations. In this session, Pieter den Hamer, VP Analyst at Gartner, identified design patterns proven to work in early AI pioneers to help organizations seeking to accelerate the deployment of AI products.

Key Takeaways

  • Gartner predicts that by 2025, 10% of enterprises that establish AI engineering best practices will generate at least 3x more value with their AI efforts than the 90% of enterprises that do not.
  • “Maximize business value from ongoing initiatives by establishing AI engineering practices that streamline data, model and implementation pipelines to standardize the delivery of AI models.”
  • “Make AI models credible, not explainable. Take a human-centric approach to drive AI adoption in your organization.” 
  • “Ensure the integrity, transparency and sustainability of AI models through a systematic process and enduring governance principles, based on fairness, trustworthiness, reliability and accountability.”
  • “Make it easy for your business users to adopt AI models and act on their predictions by considering stakeholder trust and speed to value as primary inputs for model design.”
  • “Minimize the technical debt of deployed machine learning (ML) models by monitoring and revalidating their business value. Adopt a foundational ModelOps framework — first stage of the AI engineering practice.”
  • “Identify projects in which a fully data-driven, ML-only approach is unviable and inefficient, while exploring the expressive power of composite AI to solve complex business problems."

Tune back in tomorrow for more updates from the conference.

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