Artificial intelligence (AI) is no longer a promise for the future, but rather the epicenter of corporate strategy. However, the path to a successful implementation is proving to be more tortuous than expected due to not having data governed. According to the results of the report “The Data Readiness Index: Understanding the Foundations for Successful AI”prepared by Cloudera In collaboration with Researchscape, the technology sector faces a worrying paradox. Most companies believe they are ready for AI adoption, but their data foundation says otherwise.
After surveying 1,270 IT leaders At a global level, the report emphasizes that the lack of control over information is today the main brake on innovation. The bottom line is that without a strong governance strategy, AI is nothing more than a powerful engine running on low-quality fuel.
The paradox of trust: strategy vs. reality
One of the most striking points of the report is the cognitive dissonance in the management leadership. As can be seen from the report, the 85% of IT managers ensures you have a solid data strategy. However, this optimism collides head-on with the ability to execute since the 79% acknowledge that their AI initiatives are limited due to difficulties in access, preparation and, fundamentally, governance in distributed environments.
This gap is the symptom of a structural problem. As pointed out Juan Carlos Sánchez de la FuenteVice President of Cloudera for Spain and Portugal, many organizations generate enormous volumes of information, but lack platforms robust enough to manage it. “They have the raw material, but they are not taking advantage of it”says the manager.
The state of data governed by sectors
The report provides figures that should set off all the alarms, especially in sectors where information security is critical. At a global level, less than 2 in 10 organizations (18%) They have their data completely governed. If we focus on specific industries, the situation becomes even more complex:
- Financial Sector: Only the 9% It has full governance.
- Health Sector: It barely reaches 13%.
- Public Administrations: The percentage rises slightly to 20%.
Given these data, Sánchez de la Fuente poses an uncomfortable question for those responsible for these areas: “How do sectors such as finance and healthcare plan to achieve reliable AI with such low levels of governed data? At Cloudera we are committed to a private AI approach that adapts models to the data, regardless of the environment in which they are located. It is about bringing AI to the data, and not the other way around, guaranteeing that the information remains at all times under the control of the organization. Only in this way is it possible to promote AI with guarantees in these sectors. At Cloudera we are convinced that companies that seriously work on the preparation and Data governance will be what turns AI into a real and sustainable competitive advantage«.
The Obstacles: Beyond Bits and Bytes
To understand why only the 30% of companies have managed to fully integrate their data sources in business systemswe have to look beyond technology. Cloudera study identifies three critical barriers slowing progress:
- Complex access requirements (47%): Technical bureaucracy and information silos prevent data from flowing into AI models.
- Limited visibility (44%): Companies do not know exactly what data they have or where it resides, making any attempt at auditing or ethical use impossible.
- Lack of training (41%): There is a notable lack of data skills within staff.
Another determining factor is the performance of the infrastructure. He 73% of respondents admits that performance issues in its systems have negatively affected its AI initiatives. To solve this, companies in the EMEA region are taking the lead in investment. While globally 65% of companies plan to increase their investment in the cloud, in the region EMEA this figure climbs up to 90% (9 out of 10 IT leaders). This commitment to the cloud seeks to provide the necessary agility to process data in real time, although visibility continues to be the Achilles heel: in financial services and the public sector, only the 30% declare having total visibility about your data assets.
Governance is not optional
The conclusion of the Cloudera report is that ambition is no substitute for preparation. AI has the potential to be a real and sustainable competitive advantage, but only for those companies that seriously work at the base of the pyramid: data preparation and governance.
As Juan Carlos Sánchez de la Fuente concludes, «We are witnessing a challenge that is not only technological, but also cultural. As a consequence, organizations must advance in training and a truly data-oriented mentality. At Cloudera we work precisely to achieve that inflection point: helping companies build the governance foundations that make AI with real impact on the business possible.
