Mario de Francisco: The GDPR and technological reality

Mario de Francisco spoke with ELDERECHO.COM about the GDPR and how optimal data-based information management enables companies to be more innovative, progressive, and competitive.

1.- Mario, why does optimal data-based information management enable companies to be more innovative, progress and compete?

Companies are a reality invented by human beings and, as such, are run by people, who have a distinguishing feature: the ability to make decisions. Applied to the business world, these decisions have consequences for the life and development of companies.

If we apply the scientific method to business reality, enhancing decision-making based on data-driven information will increase the likelihood of success of those decisions and leave less room for chance or uncertainty. Likewise, for these decisions to be sound, it is necessary to have a good amount of quality data, effective and efficient processing and exploitation processes, technologies and tools that meet the needs and, last but not least, people with the right skills.

2.- How would you quickly and simply describe what intelligent databases are and how they relate to Smart Data Governance?

Honestly, I'm not a big fan of these types of concepts because, in my opinion, they only make them more difficult to understand. In this case, the terms “intelligent” and “smart” refer to the application of advanced analytics and artificial intelligence algorithms, so we could basically be talking about applications of these algorithms to improve the use of databases as well as for the purpose of implementing more effective and efficient data governance. I recently wrote an article about these types of applications, attempting to explain why companies should consider implementing them and also trying to give some specific examples. At Anjana Data, we are already starting to work on specific use cases because the differential value they can offer is immense.

3.- What are the most significant challenges posed by AI and machine learning applied to data governance?

Without a doubt, the greatest challenge posed by AI and ML is that of ethics. That is why I believe we must strongly encourage the entry of more humanistic profiles to help technology companies when they face ethical dilemmas. If we think about the data governance Leaving ethics aside, the greatest challenges come from agility, flexibility and speed on the one hand, and quality on the other.

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