Gartner Application Innovation & Business Solutions Summit

13 – 14 June 2023 | Tokyo, Japan

Join an exclusive community of application & software engineering leaders

At Gartner Application Innovation & Business Solutions Summit, applications and software engineering leaders joined Gartner experts virtually over two days to share valuable insights into their main priorities.

At the conference, the top 5 priorities that application leaders met on included:

  1. Application Strategies
  2. Artificial Intelligence (AI)
  3. API Strategies
  4. Software Engineering Leadership
  5. Enterprise Architecture

We hope you enjoyed the 2022 virtual conference!  If you missed it, be sure to explore what was covered at the conference.

The program for the 2023 Gartner Application Innovation & Business Solutions Summit is underway and we look forward to sharing details soon!


Create a modern, agile application organization capable of powering innovation and digital transformation.


Help your organization transform into an intelligent, composable business with an adaptable, resilient application and software engineering strategy.


Navigate the complexities of microservices, platform-as-a-service, APIs, cloud-native architectures, AI, digital experience platforms and more.

Calling all application and software engineering leaders

Gartner Application Innovation & Business Solutions Summit 2022 was built for application and software engineering leaders looking to craft leading-edge applications, architectures and strategies that enable composable enterprises.

Transform your organization into an intelligent, composable business
  • Develop an application strategy that is modular, composable and resilient. 
  • Modernize your application portfolio while delivering innovation to the business.
  • Drive business outcomes faster by working with non-IT resources. 
  • Advance your organization's cloud strategy.
Develop software engineering strategies to create successful teams, systems and experiences
  • Develop the right skills and team structures for a modern software engineering organization.
  • Understand the best practices for scaling agile.
  • Transition from a project-centric to a product-centric delivery model.
  • Explore the API approaches that are being used by the most successful organizations.
  • Guide the cultural changes required for successful software engineering.
Create a new vision for enterprise architecture
  • Redefine enterprise architecture (EA) and how it adds business value.
  • Architect your organization for adaptability and change. 
  • Build a flexible, adaptive EA team. 
  • Support innovation, transformation and the use of new technologies.
Build agile architectures that continuously adapt and evolve to meet new and evolving business requirements
  • Create an architecture that is flexible enough to both satisfy current demands and adapt to emerging demand. 
  • Develop strong agile architecture, DevOps and cloud-native skills.
  • Optimize and refine application delivery to make it repeatable, effective and efficient.
Craft a pervasive integration strategy that meets the needs of a modern organization
  • Design a future-proof business application integration strategy. 
  • Select the right integration platforms and technologies to support digital business. 
  • Implement a technical API strategy that allows the delivery of more integrations faster. 
  • Learn how to integrate AI into your organization.
  • Integrate cloud-based and on-premises applications.
Create multidisciplinary digital business teams to ensure successful digital transformation
  • Align strategies between IT and the business. 
  • Create hybrid IT-business “fusion” teams. 
  • Develop a common view of value by establishing shared metrics. 
  • Transition from a project-centric to a product-centric delivery model.
Deliver quality applications with increased agility
  • Explore the frameworks, tools and practices to design and develop modern applications and platforms.
  • Learn how to use automation and other approaches to enable developers.
  • Adopt DevOps practices and architect applications to leverage the benefits of low-code, cloud platforms, multigrained services and extreme automation.
  • Cross traditional IT-business boundaries to work together to optimize the entire application delivery life cycle and improve business outcomes.



2022 Tracks at a Glance

Attendees had access to the latest Gartner research specifically designed to help application & software engineering leaders meet the demands of the future. Each track had a particular area of focus that helped deliver what matters most to you and your organization.

Track A

Business Growth Strategy

Business growth requires strategies to maximize business values. In this track, we discuss strategic considerations and best practices for IT divisions to incorporate aspects such as composable business, innovation mindsets, digital business models, total experience, customer experience, digital twin and data utilization.

Track B

Application Strategy

To make applications more agile and resilient to respond business changes demands strategic approaches to application initiatives. In this track, we discuss strategic considerations and best practices for major initiatives of modernization, hyperautomation, governance, and business application adoption.

Track C

Application Development

To build applications responsive to business changes demands new ways of application development. In this track, we discuss major trends and best practices of modern application development with topics including agile enterprise, APIs, microservice, container, continuous interface, low-code development, RPA, and citizen development.

Track D

Application Architecture and Technology

In this track we discuss the latest trends and best practices in architecture styles for the future of applications, including composable architecture, mesh app and service architecture, event computing, and relevant technologies such as composition platforms, API security, Integration for composable enterprise, cloud for application, and data and analytics technologies.

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