Enterprise Risk Management Evolves Independently of ESG Trends

Sustainability is essential for businesses tackling global challenges. Alejandra Espinosa, ESG Product Manager, CIAL Dun & Bradstreet, complements this ongoing discussion by disclosing how technology and AI are actively transforming the management of sustainability-related risks.

This week in Tech:

Navigating ESG Trends, Revolutionizing Supply Chains with AI.

In a rapidly evolving world, sustainability has become a cornerstone for businesses. Alejandra Espinosa, ESG Product Manager, CIAL Dun & Bradstreet, emphasized the pivotal role of adopting technology and artificial intelligence (AI) in managing sustainability-related risks, especially in decision-making. 

Artificial Intelligence Might Increase Gender Inequality

Artificial intelligence (AI), in the absence of clear and inclusive policies, cannot effectively address gender inequality gaps and may even amplify biases. At the UN's II Global Forum on AI Ethics, discussions centered around women and how they currently face marginalization in AI decisions.

Legal Lario Acquires Ali Tech: AI In Mexico’s Legal System

In an effort to modernize legal processes in Mexico, Legalario announced its acquisition of Alitech, a pioneer in the development of administrative legal solutions based on artificial intelligence (AI).  Leveraging this technology could help to alleviate immediate backlogs within the legal system and ultimately transform Mexico’s legal landscape.

Beyond buildings, Cities Should be Digital, Too

Besides the fact that we spend about 90% of our time in buildings, cities are the dynamic spaces that conglomerate talent with a wide range of needs. Therefore, future cities must go beyond constructing smart buildings and instead embrace intelligent software to track the evolving needs of the population in a more efficient and holistic manner: making them digital. This approach will lead to enhanced governance practices.

Digital Quality Data Management Goals and How to Get There

Industrial measuring and inspecting solutions are essential to ensure reliable product quality. Today, almost every manufacturing company uses some form of quality equipment in its production process, generating gigabytes of data every day. If you were to go around and ask companies individually, probably all of them would say that Industry 4.0, or digitalization or some other buzzword, is a key priority, at least on their agenda. But the reality is that the sheer volume of quality data, and how to turn that data into meaningful and comparable information, is a tremendous challenge