With the advancement of IoT and the widespread use of this technology by companies , a series of social, legal and ethical issues are gaining relevance in debates on the topic. It is necessary to think about several aspects, such as:
Ownership of data and deductions made from it;
Compliance with regulations such as the General Data Protection Regulation.
This is because it is not enough for an IoT solution to be technically effective, it must also be socially acceptable.
It is important for CIOs to consider not only technological strategy, but also reflection on what is morally valid and respectful of privacy. It is worth, for example, forming groups of professionals, such as ethics councils, to review the corporate strategy and the adopted values.
Another important strategy: hiring external consultants to review the key algorithms and artificial intelligence systems , so that it is possible to identify potential negative effects for immediate correction.
Increasingly, monetization of data gains value : it is sold as a strategic commercial asset to be recorded in the company's accounts. In 2017, according to Gartner, 35% of respondents were already selling or planning to sell data collected for their products and services.
Gartner also predicts that by 2023, buying and selling IoT data will become an essential part of many AI systems.
For CIOs at financial institutions, the challenge is to understand the risks and opportunities arising from data intermediation and share this vision with the team of professionals. Only then will it be possible to define the necessary IT policies for this area and guide other sectors of the organization.
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