Who should enter the ‘Best Use of AI of the Year’ category?
The ‘Best Use of AI of the Year’ category recognizes the most impactful and innovative applications of Artificial Intelligence and Machine Learning within a cloud environment. This award is about real-world utility as much as it is technical sophistication. It honors solutions that use AI to solve specific business problems, automate complex decision-making, or unlock insights from data that were previously unreachable.
Entries may showcase advancements in Generative AI and Large Language Models (LLMs), demonstrating how they have been integrated into workflows to boost productivity or enhance creativity. The category highlights excellence in Predictive Analytics and Pattern Recognition, where AI is used to forecast market trends, optimize supply chains, or preemptively identify equipment failures.
In addition, submissions should highlight ethical AI and transparency, showing how the solution addresses challenges like algorithmic bias, data privacy, and hallucination risks. Judges will look for evidence of seamless integration, rewarding projects where AI doesn’t feel like a “bolt-on” but is an intuitive, essential part of the user experience.
Successful entries will provide clear evidence of quantifiable ROI, such as a measurable increase in accuracy, significant time savings through automation, or a direct uplift in revenue driven by AI-powered personalization.
Example Use Cases
Uses of AI eligible for this award could sit within almost any area of cloud computing. Here are some examples:

Applying AI to automate complex processes and improve operational efficiency. AI solutions reduce manual intervention while enhancing accuracy and scalability.
Typical use cases:
• AI-driven workflow automation
• Robotic Process Automation (RPA) enhanced with machine learning
• Intelligent document processing and data extraction
• Automated decision-making systems
• Process optimisation through predictive modelling
Some examples of results from this application:
• Reduced operational costs and manual workload
• Increased process speed and accuracy
• Improved scalability of business operations
• Measurable efficiency gains across workflows

Using AI to generate forward-looking insights that inform strategic and operational decisions. These solutions transform data into actionable intelligence.
Typical use cases:
• Demand forecasting and trend prediction
• Risk modelling and anomaly detection
• Customer behaviour prediction
• Financial and operational forecasting
• Scenario modelling and simulation
Some examples of results from this application:
• Improved forecasting accuracy
• Better strategic planning and resource allocation
• Early identification of risks and opportunities
• Increased confidence in decision-making

Enhancing user experiences through AI-driven personalisation and recommendation systems. AI enables more relevant, timely, and engaging interactions.
Typical use cases:
• Recommendation engines for products or content
• Personalised marketing and customer journeys
• Dynamic user interfaces based on behaviour
• Chatbots and virtual assistants
• Real-time engagement optimisation
Some examples of results from this application:
• Increased customer engagement and conversion rates
• Improved user satisfaction and retention
• Higher revenue through personalised experiences
• More relevant and timely customer interactions

Unlocking value from large volumes of data through advanced AI techniques. These solutions enable organisations to extract insights that would not be possible through traditional analytics.
Typical use cases:
• Natural language processing (NLP) for text analysis
• Image, video, or speech recognition
• Knowledge discovery from unstructured data
• Automated summarisation and insight generation
• Research and analytics acceleration
Some examples of results from this application:
• Faster insight generation from complex data sets
• Improved accuracy in analysis and interpretation
• Enhanced research and innovation capabilities
• Greater utilisation of previously untapped data

Ensuring AI systems are transparent, fair, and accountable. Leading solutions incorporate governance frameworks to support ethical and responsible AI deployment.
Typical use cases:
• Explainable AI models and decision transparency
• Bias detection and mitigation tools
• AI governance and compliance frameworks
• Model monitoring and performance tracking
• Data privacy and ethical AI controls
Some examples of results from this application:
• Increased trust in AI-driven decisions
• Reduced risk of bias or unintended outcomes
• Improved regulatory compliance
• Stronger governance of AI systems
Areas to Highlight in Your Submission
Judges score nominations across these five key areas:
Although not formally scored, focus on these areas specific to this category, can help your nomination stand out:
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To enter this Cloud Awards category, or any other category in The Cloud Awards, please follow these three simple steps:
Since 2011, The Cloud Awards been helping organizations across the globe gain the recognition they deserve for market-leading innovation in the cloud computing and software sectors.
For a detailed breakdown of all the benefits you receive as an awards entrant as either a shortlistee, finalist or ultimate winner, please see our “Why Enter?” page. The many benefits are replicated across all international awards programs. If you have any questions about this category, please contact us.

