This post introduces Action Apps Virtual Assistant (AAVA) and includes a video demonstration of the AI-powered chatbot.
Today, I am thrilled to introduce AAVA, a pioneering generative AI-powered virtual assistant integrated into an athlete data management system. The creators are Action Apps, a bespoke athlete management system enhancing data exploration with their artificial intelligence (AI) virtual assistant, AAVA.
Exploring the Integration of Generative AI
In my Sports Science Trends for 2025, I identified generative AI as a development to keep a look out for. Generative AI creates new content, such as text, videos, or pictures, based on learning from inputs. Chatbots that utilise Large Language Models (LLM), such as ChatGPT, are a common example of generative AI.
Now generative AI is being integrated at the forefront of sports science. AAVA represents a significant leap, merging generative AI with athlete data management to streamline processes traditionally reserved for data scientists. This integration empowers users to interact with complex data sets using conversational language, offering simplicity without sacrificing depth.
Overview of Action Apps and AAVA
Action Apps delivers a bespoke solution, tailored to the unique requirements of sports teams. Built on Microsoft apps, teams can develop back-end systems and customise front-end dashboards using Power BI, enhancing flexibility and personalisation.
The addition of AAVA, driven by large language models, offers a unique capability: it allows users to query their data using everyday language. Importantly, AAVA currently provides specific answers rather than recommendations, a prudent approach while navigating the initial integration of AI in sports analytics.
Moreover, AAVA is designed with transparency in mind, providing SQL code underlying the results. This feature enables users to validate findings and potentially leverage the code to enhance their own analytical skills.
Demonstrating AAVA's Capabilities
In the video demonstration above, AAVA proved its efficacy in quickly generating insights and visualisations from athlete data. The various data visualisation outputs are dynamic, with interactive labels and zoom function. Both the data or table resuIt can be exported, while charts can be saved as png ready for emailing. AAVA even adeptly managed different terminologies - such as speed and velocity - demonstrating its robustness in real-world applications.
The demonstration underscored the importance of data quality and specificity in prompt design, critical components in maximising AAVA's analytical power. This capability holds potential to decentralise access to data insights, enabling stakeholders without specialised data skills to engage with complex datasets effectively. However, this all rests on the data quality. As I've previously spoken about, sports scientists hold a responsibility as data stewards.
I would like to extend my gratitude to Action Apps for sponsoring this exploration into AAVA and for permitting us access to the demo. For those interested in learning more or engaging further with Action Apps, check out their website.
FAQs About AAVA and Action Apps
What is Generative AI?
Generative artificial intelligence (AI) is a type of AI that can create new content, such as text, images, music, audio, and videos. It uses machine learning to learn patterns from data and generate new content based on prompts.
What is AAVA?
The Action Apps Virtual Assistant (AAVA) is a generative AI-powered virtual assistant integrated into sports data management systems, enabling users to query and analyse data using everyday language.
How does AAVA enhance data exploration?
AAVA allows users to explore data efficiently by providing instant responses and data visualisations, supported by comprehensive SQL code for verification. With AAVA, users can delve into data without the need for coding expertise, democratising access to insights across various team roles.
Is AAVA secure and compliant?
Yes, AAVA is backed by Microsoft security, ensuring GDPR and HIPAA compliance, making it secure for managing sensitive athlete data.
This article is support by Action Apps. For more information about their services, visit their website.

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