Few subjects made more headlines in 2024 than artificial intelligence. Whether extolling the virtues of the tech or warning of its potential dangers, AI had a banner year and you can expect 2025 to be no different.
And whilst Zenoo has spoken of the threat posed by the malevolent use of AI in areas such as identity fraud and the need for collaboration to counter it, we have also been willing to embrace a technology that can make our business and services more efficient and therefore improve the life of our partners and customers.
After exploring the use of AI over the last few years it has now become a key component in our evolution goals, fostering collective enlightenment by enhancing human connections through technology. AI plays a crucial role in creating an environment where individuals can thrive together and contribute to a shared knowledge base. This transformative approach helps build human connections, enhancing user experience and fostering a community-driven approach. We are already using AI to improve internal efficiency with automated meeting notes and follow up, plus the production of draft technical and contract documentation.
And we are also exploring further use of AI in the following areas:
Automating routine coding tasks
AI can automate repetitive coding tasks such as writing boilerplate code, unit tests, documentation, or even refactoring existing code. Tools like AI-assisted code refactoring help you ensure code quality whilst saving time.
Natural language to code generators
Tools like OpenAI's Codex (underlying GitHub Copilot) or custom-built AI models allow you to describe in plain language what you want to achieve, and the AI generates the corresponding code.
Code review and debugging
AI models can help debug code by analysing your programme for errors and suggesting fixes. Tools like DeepCode or Snyk are designed to catch bugs, code smells, or security vulnerabilities.
To explore these areas for AI enhancement further, 2025 will see Zenoo employing a specific team tasked with staying ahead of the curve in AI development and identifying further ways it can improve business performance and customer offering.
AI is also helping us to open up our services to smaller businesses by allowing the organisation to be more cost effective and reduce the time it takes to complete projects by around 35%.
It does this by relieving developers of routine work and allowing them to focus on added value and innovative areas within product development. The net result for customers is an overall cost reduction.
Zenoo will continue to focus on AI as a cost-effective way to expand and scale the business over the coming years and we look forward to keeping you updated on how we are ensuring our services continue to meet the demands of users.
AI and blockchain technology
Artificial intelligence and blockchain are two of the most significant technologies of the 21st century. AI refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as learning, problem-solving, and decision-making. Blockchain technology is a decentralised digital ledger that records transactions and data across a network of computers. The combination of these two technologies has the potential to create secure, transparent, and efficient systems for various industries.
| Technology | Strength | Primary use |
|---|---|---|
| Artificial Intelligence | Pattern recognition, data analysis | Fraud detection, process optimisation |
| Blockchain | Decentralised, immutable records | Data integrity, transparency |
By using the strengths of both technologies, businesses can develop advanced intelligence solutions that enhance operational efficiency and data integrity.
Advantages and applications
The integration of AI and blockchain technology offers several advantages, including enhanced security, increased transparency, and improved efficiency. AI excels at analysing large datasets and identifying patterns, making it an ideal tool for detecting fraudulent activities and improving data security. Meanwhile, blockchain technology provides a decentralised and immutable ledger that ensures the integrity of data and transactions.
The applications of these technologies are vast, ranging from supply chain management to healthcare and finance:
| Industry | AI application | Blockchain application |
|---|---|---|
| Supply chain | Optimise logistics | Ensure traceability and authenticity |
| Healthcare | Assist in diagnostics | Secure patient records |
| Finance | Detect fraud | Create transparent transaction ledgers |
Together, these technologies pave the way for innovative solutions that drive industry transformation.
The role of AI in blockchain development
AI plays a crucial role in the development of blockchain technology. AI algorithms can analyse data and identify patterns, making it easier to develop and implement blockchain solutions. By using AI, businesses can enhance the scalability and efficiency of blockchain networks, enabling them to handle a large number of transactions per second.
Additionally, AI can aid in the development of smart contracts: self-executing contracts with the terms of the agreement written directly into lines of code. These smart contracts can automate and simplify various processes, reducing the need for intermediaries and increasing trust among parties. As we continue to explore the collaboration between AI and blockchain, we can expect to see more innovative and efficient blockchain solutions emerging.
Key takeaways
- AI automates routine coding tasks and debugging, freeing developers to focus on innovation and reducing project timelines by around 35%.
- The combination of AI and blockchain creates secure, transparent systems with enhanced fraud detection and data integrity across industries.
- AI algorithms improve blockchain scalability and enable the development of smart contracts that reduce intermediaries and increase trust.
- Smaller businesses benefit from AI-driven cost reductions and faster project completion, broadening access to advanced services.
- Zenoo is investing in dedicated AI development resources to identify further optimisations and maintain competitive advantage in 2025.
