Learn about the 2025 Award Categories

Are you involved in the data and AI landscape, or do you know someone who is? The Data Transformer Awards program acknowledges individuals or organizations that significantly contribute to this field. This could involve using tools like Gen AI to influence markets and introduce new opportunities or integrating data and AI into organizational processes, enhancing customer experiences. Regardless of whether they are a startup, a growing business, or a large enterprise, these awards recognize their contributions.

The award categories include:

Data & AI Disruptor Award (Start-ups & Scale-ups)

This category celebrates audacity and agility.

Data & AI Transformer Award (Large Enterprises)

This category honors vision and execution.

Award Criteria Overview

Showcase groundbreaking work and be recognized as a leader in data and AI innovation. Before you submit your nomination, here's a sneak peek into what our esteemed jury will be looking for:

Round 1: Best Project / Use Case (Focus on Output)

Methodology

What innovative methodologies have you implemented in your data and AI projects, and how have they led to successful outcomes?

Collaboration

How do you foster collaboration within your team and with external partners, and can you share a specific instance where this significantly improved a project?

Value

How have your data and AI initiatives created value for your organization or clients, and can you quantify the impact in terms of revenue, cost savings, or other metrics?

Readiness

How prepared is your organization to implement and scale data and AI solutions, and can you provide examples of how you have addressed readiness issues in past projects?

Change Management

How do you manage change within your organization when implementing new data and AI solutions, and can you share a case where effective change management led to a successful project outcome?

Modernisation

How have you modernized your data infrastructure and processes, and can you provide examples of how modernization has improved your operations?

Regulation

How do you ensure compliance with data protection and privacy regulations in your projects, and can you share an example of how you navigated regulatory challenges?

Round 2: Best Role Model (Focus on Outcome)

Impact on Persona's

How has your project positively impacted the key personas involved, and can you provide specific examples of these impacts?

Impact on the Enterprise

What measurable benefits has your project brought to the enterprise, such as increased efficiency, cost savings, or revenue growth?

Impact on the Customer

How has your project improved the customer experience, and can you share any feedback or metrics that demonstrate this improvement?

Responsible

How do you ensure that your data and AI practices are ethical and responsible, and can you provide examples of how you have addressed ethical concerns?

Sustainable

What steps have you taken to ensure the sustainability of your project, both environmentally and operationally?

Governance

How do you manage data governance in your project, and what measures do you have in place to ensure compliance with relevant regulations?

First Mover

How has your project demonstrated innovation and leadership in your industry, and what makes it a first mover in its field?

Speed of Adoption

How quickly and effectively has your project been adopted by users, and what strategies did you employ to facilitate this adoption?

Remember, all nominations must be submitted in English.