How Can Companies Harness the AI Revolution to Optimize Their Businesses?

In a matter of months, generative artificial intelligence has become a key element in multiple business sectors, but how can companies best harness it?

(Photo: Luke MacGregor/Bloomberg)
July 31, 2023 | 08:10 PM

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Bloomberg Línea — The advances of generative artificial intelligence (AI) are upon us and in jyst a few months this technology has emerged as a business tool that is bringing benefits to companies across a variety of sectors.

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“I dare to compare artificial intelligence with an industrial revolution, with the emergence of the Internet. It seems to me that it is really going to be a very big paradigm shift for organizations,” Maximiliano Giacri, CEO and co-founder of Nubiral, a company of technology experts based in Buenos Aires, and with more than a decade of experience in digital innovation, told Bloomberg Línea.

Generative AI tools have revolutionized the relationship between people. In the first three months since its presentation in November 2022, Chat GPT reached 100 million users, according to figures from market intelligence firm International Data Corporation (IDC).

But this technology is not just text, as its application is also related to the generation of images, videos, sound (including voice), as well as designs and structures.


“Artificial intelligence doesn’t need a commercial, because it is such an innovative and disruptive technology that it sells itself. Today, out of every 10 clients to whom we talk about artificial intelligence, all of them say, ‘I want to try it, I want to understand what I can do with it’. It seems to me that the demand here is honestly going to be infinite,” added Giacri.

With a portfolio of more than 100 clients in the automotive, energy, telco, media, retail, healthcare, transportation and logistics industries, the company is looking at how generative AI can enable companies to find new ways of doing business and take optimization to a new level.

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Parte del equipo ejecutivo de Nubiral, empresa con presencia en Argentina, México, Estados Unidos, Uruguay y Colombia.

How to capitalize on the AI revolution

Some of the uses for which generative AI can be capitalized range from content generation, i.e., automatic creation of texts or product descriptions, and also in retail, such as displaying promotions and discounts targeted to a specific audience.


In addition, in the world of auditing and document management, for the translation of existing content into multiple languages, generation of summaries of existing regulations; and in contact centers, to create personalized messages, adapted to different audience segments.

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Likewise, in document management, AI can be used to resolve user queries from large volumes of stored and indexed information; Human Resources can use it to process resumes, job application forms and other documents related to staff recruitment or for the automatic analysis of skills, work experience, references and compare profiles.

In logistics and transportation, it can be applied to manage large volumes of supply chain-related documents to optimize inventory management, track shipments and streamline invoicing processes; and in legal areas, to search and extract from digitized legal documents via keywords or identify specific clauses, legal terms and case summaries to expedite legal document review and facilitate information searches.

“It is essential that companies clearly assess their needs, based on clear goals and objectives, to make investments understanding where this technology can offer them the greatest value,” said Jorge Linares, chief revenue officer of Nubiral.


“The evolution we have seen in the use of generative AI as a tool allows us to see that its progress will not stop,” he added.

According to Linares, this is the reason behind the importance of having a technology partner that allows companies to decide the solutions that provide the most value in relation to the processes and determine their areas of greatest impact, both in productivity, optimization of operations and costs, as well as the risk assessment that this type of technology may offer, according to their current limitations.

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