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As 2024 comes to a close, we at Avalia are reflecting on a year filled with innovation, growth, and meaningful moments. To celebrate, we created a special 2024 Highlights Video featuring our team and Lia, Avalia’s avatar, sharing what was most inspiring and innovative for us this year. Wishing you a wonderful holiday season and a 2025 full of innovation!

Instead of talking about developer portals we tend to speak about digital portals and in the projects that we do we focus a lot on content insights and stories And we create personalized experiences by selecting the type of information and the way the information is presented to the users During these projects we have identified 3 themes that we find important and that we keep revisiting.

In addition to the taxonomies an important part is the um metadata that you can associate that you can link to entities in the catalog And here I would like to make an analogy to a GIS The GIS gives you different perspectives on the world by allowing you to use different layers on the map And the idea is that Backstage can become the GIS of your software ecosystem.

Because the user interface of Backstage is fully customizable it's possible to create these interactive data visualizations these interactive maps In this example we are looking at the organizational structure where squads are groups um in tribes And when you have these interactive visualizations rendered into backstage you can annotate them to represent the state of the acquisition of the uh ecosystem Here it's the happiness of the teams but you can do similar things with the quality of the systems or the business value generated in the domains.

Creating a digital portal is not trivial but when you have released the first version of your portal you have only done one part of the job If the goal is to generate a stream of insights content and stories How are you going to keep this stream lively and relevant for the people Who is going to do that work and how much time is it going to uh There are of course different strategies that you need to uh to combine but one very interesting uh use case that we see is to combine software analytics with generative AI And one thing that we have done is to implement data pipelines where we combine these tools I don't have the time to go into a lot of details but just to give you an idea It's possible to extract data from systems for example issues uh captured in GitHub To give this data structure to ChatGPT and to ask what are interesting questions that you could ask about this dataset to then ask ChatGPT to write the code That once executed can answer the question proposed by ChatGPT And in the end to ask ChatGPT to write a story About the answers in a way that makes sense to an engineer a CTO or a CFO And therefore creating this content that will be uh understandable and make sense for the different personas

AI from Strategy to Execution Learn More at www.avalia.io/AI-from-strategy-to-execution Who Is It For? This solution is ideal for organisations that have laid out or have at least started to discuss an AI strategy but face challenges in realising the full potential of their AI use cases. This programme helps bridge the gap between strategy and execution. It is designed for teams looking to deliver concrete business results using AI and need real-world expertise with a structured approach to achieve success at scale. What Do You Gain? Strategic Clarity: We’ll help you achieve a deeper understanding of how AI can be leveraged effectively in your organisation. This includes evaluating the current state of your data, technology, and team capabilities to ensure alignment with your goals. Clear Objectives: You’ll gain a roadmap for success, focusing on the necessary systems, data governance, and skills required to execute your AI strategy. Improved Governance: Implement a governance framework using Dx Hub, our open source digital experience platform to track progress, define success metrics, and mitigate potential risks. This helps ensure that the execution remains aligned with your business objectives. How Is It Done? Assessment: We start by analysing your existing AI use cases, data architecture, and team capabilities. This process helps identify the gaps between your current state and your AI objectives. Roadmap: We develop a comprehensive roadmap tailored to your business needs. This plan includes improvement targets for all necessary areas, such as data quality, architecture, and team skills. Our governance platform is integrated with your internal systems to ensure seamless tracking and alignment with your objectives. Delivery: We build the reference architecture needed for your teams to validate AI use cases. This architecture serves as the foundation for your product and development teams, enabling them to manage the AI products from ideation through their full life cycle.

AI from Strategy to Execution Learn More at www.avalia.io/AI-from-strategy-to-execution Who Is It For? This solution is ideal for organisations that have laid out or have at least started to discuss an AI strategy but face challenges in realising the full potential of their AI use cases. This programme helps bridge the gap between strategy and execution. It is designed for teams looking to deliver concrete business results using AI and need real-world expertise with a structured approach to achieve success at scale. What Do You Gain? Strategic Clarity: We’ll help you achieve a deeper understanding of how AI can be leveraged effectively in your organisation. This includes evaluating the current state of your data, technology, and team capabilities to ensure alignment with your goals. Clear Objectives: You’ll gain a roadmap for success, focusing on the necessary systems, data governance, and skills required to execute your AI strategy. Improved Governance: Implement a governance framework using Dx Hub, our open source digital experience platform to track progress, define success metrics, and mitigate potential risks. This helps ensure that the execution remains aligned with your business objectives. How Is It Done? Assessment: We start by analysing your existing AI use cases, data architecture, and team capabilities. This process helps identify the gaps between your current state and your AI objectives. Roadmap: We develop a comprehensive roadmap tailored to your business needs. This plan includes improvement targets for all necessary areas, such as data quality, architecture, and team skills. Our governance platform is integrated with your internal systems to ensure seamless tracking and alignment with your objectives. Delivery: We build the reference architecture needed for your teams to validate AI use cases. This architecture serves as the foundation for your product and development teams, enabling them to manage the AI products from ideation through their full life cycle. Hear what ChatGPT and Google NotebookLM had to say about our new AI programme in this podcast generated by them.

Avalia has updated its brand with a new logo to reflect the company’s evolution towards a more integrated perspective on the importance of clarity in technology investments. This spans evaluating technical risks and capabilities for M&A, Private Equity, and Venture Capital deals, as well as the development and operations of software systems.

Camilla hosts Rodney Reis (CEO at Avalia Systems) and Alexandre Alves (Senior Principal Engineer at Amazon) to delve into AI and GEN AI trends. Rodney emphasizes practical AI understanding, while Alex discusses AI as an engineering process. The team explores a marketing use case, revealing an iterative approach with AI. They debate automation's role, seeing it as an enhancer, not a job replacement. Investment considerations and potential shifts in roles within AI development round out the dynamic conversation. Stay tuned for insights into real-world applications and the evolving landscape of AI integration! www.avalia.io