All organizations are looking for the same thing right now: to harness the potential of AI to innovate, overcome challenges and remain competitive in the market.
Throughout 2024, we have witnessed the generalization and massification of GenAI and endless debates about how useful it really is. Looking ahead, we are preparing for a scenario of radical change that will test the ability of companies to build a technological ecosystem, where there is a convergence between innovation and responsibility.
In 2025, the era of experimentation will be replaced by reinvention – it is time to effectively implement (and also discard) much of what has been tested in organizations in proofs of concept, pilot projects, or use cases. This change will significantly impact the business, with the introduction of innovation, implementation of new functionalities, or rethinking of processes. In this sense, I have identified below four major trends that will impact organizations in 2025:
- An AI Pivot
GenAI has dominated debates about technology and Artificial Intelligence. It is expected that 2025 will represent the beginning of a turning point, where “hyper-experimentation” gives way to the reinvention phase. Shortage of developers, high costs, poorly defined strategies and poor coordination between different teams, IT and the overall business goals are some of the factors that have limited the success of implementing
GenAI in companies.
Faced with this challenge, and according to IDC predictions, up to 30% of organizations will reconsider their investments in GenAI if the solutions created are not positively impacting the business. Companies must opt for a less complex approach and move forward in a progressive and step by step fashion, in order to manage decision makers’ expectations.
- Artificial Intelligence Agents
The evolution of AI Agents represents a paradigm shift that redefines the limits of traditional Artificial Intelligence. With a high degree of autonomy, these agents are capable of carrying out predefined tasks independently, revolutionizing multiple areas. From decision-making without human intervention, through software development, and process optimization, this technology offers highly efficient solutions, generating a significant impact on organizational productivity.
It is estimated that, by 2028, 15% of corporate decisions will be made by these agents. More than a virtual tool that complements human actions, Artificial Intelligence agents are an opportunity to rethink the role of
technology, prioritizing the balance between responsible integration and the protection of human needs.
More than having just a chatbot replying to some questions or doing some actions, AI agents will be talking between them, orchestrating actions and proving a task-oriented process where actions will be done by agents and supervised by humans.
- Data-as-a-Product
Data-as-a-Product (DaaP) remains one of the biggest challenges for organizations in the coming years. If we consider data as strategic assets, and look at it as a product, we are making our companies more efficient and business-oriented. To achieve this, businesses must create not only a robust governance system, but also AI platforms that generate assertive insights capable of guaranteeing ethical compliance, while promoting transparency and responsibility.
There are more advantages than disadvantages in treating data as a product – this model provides innovation and creativity, enabling teams to develop solutions with a previously available date, which increases the efficiency and productivity of organizations.
In short, components of a Data Product are Data Content: Raw and processed data Metadata: Documentation, lineage, and quality metrics and APIs/ Interfaces: For seamless access and integration.
Built to be discoverable, reliable, and usable by all teams across the organization.
- Data and Document Governance
Could 2025 finally be the year when the topic of Data Governance assumes a pivotal role within organisations? I believe so. With the emergence of Generative AI and the growing ability to directly query documentation, the scope of data governance is expanding into a broader concept of “document governance”. This evolution highlights the increasing necessity of establishing robust governance over who queries, what they query, in which documents, and with what permissions. Such measures are essential to ensure comprehensive control and security in this rapidly evolving landscape.
This subject goes beyond being a purely IT-driven initiative; it represents a vital connection between technology and business. For Data and Document Governance to be effective, it demands close collaboration between technical experts and business leaders. This ensures that data management strategies are not only technically sound but also aligned with the organisation’s broader goals. By uniting these areas, organisations can safeguard critical information, streamline operations, and support well-informed decision-making, an integrated effort that highlights its essential role in achieving sustainable growth and maintaining a competitive edge.
According to IDC, by 2028 it is expected that the amount invested in AI, worldwide, will exceed €700Bn. An impressive indicator, without a doubt. 2025 will be a critical year in this process, the year of effective implementation of GenAI and (yet another!) technological reinvention. Enhancing responsible innovation, raising awareness about the conscious use of technology, investing in the robustness of the “governance” of Artificial Intelligence and the potential of AI Agents are strategies that will transform the future of companies in Ireland and globally.
By: Ricardo Batista, Managing Director UK & Ireland, Noesis