Is Your App Dev Ready for Continuous Next?
Is Your App Dev Ready for Continuous Next? by Giovanni Mancini
Is your team managing the delivery of technology? Are they enabling your business units to gain a competitive edge in the market? I attended Gartner Symposium a few weeks ago and core to everyone’s thoughts was how to achieve the latter when your organization is being bogged down by the former.
The Gartner keynote set the tone with the theme of Continuous Next. Businesses can no longer have the narrow view of “What’s next?” They need to adopt the mindset that the software landscape is constantly changing. Teams need to adopt an operational mode where they can continually incorporate new thinking and new technologies into the business without changing everything from the ground up. Compounding the challenge is the requirement to leverage technology to achieve business goals, particularly in an environment where markets and business goals consistently change and evolve.
Gartner broke Continuous Next into five key focus areas to help businesses maintain a tempo of progress and continuous growth:
- Product management
- Digital Twin
- Augmented Intelligence.
Let’s take a closer look at the last three, and how application development is impacted by them.
In a changing world, IT organizations must become intimately aware of the business requirements and goals for the end product. Stakeholders make a number of decisions throughout development that have a direct impact on the product and business outcomes. Development teams cannot confidently deliver first pass success without having business awareness and a full product focus versus a project focus. Product management is really about defining the application from the end customer and then back into the business. Decisions need to be constantly evaluated for the impact they will have on the business goals and on the end customer experience.
Product management is not localized to specific teams, it spans the different parts of the organization. This level of collaboration and understanding between the business and the IT organization cannot be achieved by just adopting an agile development methodology or migrating to any low-code platform. Organizations need a low-code platform that not only enables the quick development and iteration of new ideas but also supports real-time feedback by all of the business and product stakeholders.
Creating a digital twin means developing a software model that is used to understand, run tests against and improve the system being modeled. With Continuous Next, businesses should build digital twins of products and of their organizations, because the model can then be used to understand the organization and optimize its performance. With low-code model-based development, your application might also become a digital twin of the process. When you develop an application with low-code, you are not only developing the app itself, but also a model that can be used to understand and improve process.
Augmented Intelligence focuses on how to best leverage artificial intelligence (AI) as a tool. Augmented Intelligence leverages AI to deliver a better solution for your customers and business, not just a more automated one. The right low-code platform can be invaluable here by providing a collection of pre-packaged solutions, enabling development teams to focus on how best to deploy the right AI-enabled solution versus having to invest resources to develop their own in-house AI expertise.
Don’t just take our word for it
How will your organization respond to the challenge of Continuous Next? Our speaking session featured three successful executives from three very different industries, who discuss why and how they adopted a low-code platform to meet the business challenges they were faced with. You can view the full video recording of the panel here.