Building Organizations Powered by Augmented Intelligence

For many years, access to advanced technologies such as artificial intelligence (AI) was a major challenge for organizations. Today, thanks to increased cloud infrastructure coverage, which facilitates access to these technologies, the use of AI has gone from a challenge to an AI opportunity, and many organizations are already preparing to take the next step in their digital transformation through the application of AI tools.

Today, I would like to use this space to focus the conversation on generative artificial intelligence. This type of AI involves its use to create content, such as text, images, music, audio, or videos from prior instructions, as well as to synthesize and organize information or automate processes. However, this definition could fall short in our imagination, so I prefer to share some interesting cases of organizations that are in the process of incorporating it into their operations.

The Mayo Clinic, an American education, research, and healthcare organization, sought to integrate a generative AI app whose function is to help companies generate — in a short period of time and with minimal programming work — both chatbots that meet their service needs, and, also, information search engines. With this app, the institution aims to improve the efficiency of clinical workflows, make it easier for doctors and researchers to find the information they need, and ultimately help improve patient outcomes.

Another interesting case, which also corresponds to an organization in Mexico, is Algorithia, a data engineering and artificial intelligence company that designs end-to-end solutions based on data. Currently, it has developed some prototypes,one of which is a chatbot that provides assistance to the customer service staff at a financial institution to respond to customer requests. In addition, this year, Algorithia began the specialization of its more than 200 employees in generative AI and data solutions from Google Cloud, in order to empower organizations in various sectors,including finance, retail, logistics, media, and telco, to adopt an analytical intelligence future.

Although the application of generative artificial intelligence by organizations is still in an early phase, it is estimated that the market value could reach US$188.62 billion in 2032, which is almost 22 times its value a year ago, when it was valued atUS$8.65 billion, according to the consultancy The Brainy Insights.

Within Mexico, although there are still no official figures on the integration of generative artificial intelligence specifically, a recent IDC report commissioned by Google, where IT leaders in the country were surveyed between August and September 2023, 54% said that the generative AI topic is a frequent subject of work meetings. Moreover, the Economic Commission for Latin America and the Caribbean (CEPAL) recently published the first Latin American AI Index, which presents an overview of the state of 12 economies in the region, including Mexico, in terms of artificial intelligence. Within the results published for the country, although there are areas of opportunity to address, it was gratifying to read that our country is seen as a mature and solid ecosystem in the integration of artificial intelligence. This means that we are on a good path toward the development and growth of smarter public and private organizations, supported by technology. 

New Technologies, New Organizations

Whenever a new technology is integrated into an organization, an adjustment process occurs that transforms every interaction with information, other organizations, and internally between the same associates. From my perspective, this is the roadmap to becoming organizations of augmented intelligence.

By the term augmented intelligence, I refer to using new technologies as support, a platform that allows us to solve problems, save steps in our processes, and gives us free space to contribute to the creation, research, or generation of larger projects, which elevate the capabilities of employees and organizations and ultimately, support the development of economies.

Taking up the cases shared above, how fantastic it will be when these organizations and many more move from a state of prototype development to full integration and operability in their solutions. In fact, according to consultancy Gartner, by the end of 2024, 75% of companies will move from pilot tests to putting their AI solutions into operation.

At Google Cloud, we believe that cloud-based digital technologies, such as data analytics, artificial intelligence, and machine learning, are multipurpose tools that are not limited to a single use, but are designed to transform societies, generate greater opportunities to empower creativity, and generate advances in new styles of knowledge and innovation. 

The future of generative artificial intelligence is promising and is ushering in a wave of interactive, multimodal experiences that transform the way we interact with information, brands and with each other. As the world continues to work on this technology, we will see new ways in which it can be used to improve our lives, taking a responsible approach that enables organizations of all sizes and industries to innovate and develop completely new revenue streams.