We talk to Fairweire with Guillerme Nova, an Artist Intelligence expert. We are talking about the ethical frameworks of AI in companies.
on AI entering Latin American companies very quickly. But do we really know how to use AI and do we have clarity in making decisions with the data? How will businesses benefit from this?
We talked about this with IBM Latam Expert and Executive Assistant, Guilherme Novaes.
FW: Let's talk about the current scenario. How do companies design impact assessment today? What percentage of adoption is in the region?
GN: Today, we all agree that we are now in a new age – the era of data. Today's economy is driven by data that is distributed across companies, on social networks, in city-spread sensors, in our mobile phones and tablets, in what we buy, carry, and so on. Mobile and social media phenomena have transformed industries and redefined the way people consume and business models of businesses. Today's users want personalized real-time responses and companies need their technology to generate more value by converting data into insights to make decisions and improve the experience of their customers.
Artificial Intelligence helps companies cope with current market demand because they can understand large amounts of data in real time (text, sound, images, video), formulate intelligent hypotheses, make personalized recommendations, and interact with us. In the corporate sphere, digital transformation and artificial intelligence are already a reality that generates an impact on business, workforce and customer experience.
And that's not far from us. This is a reality here in Latin America. The digital transformation used by AI enables us to redefine the competitive capacity in the region. Our public and private companies are on equal terms with any other company in the world. The difference will be that focus and flexibility will benefit from new technologies. Here, in Latin America, we have a group of important revolutionaries leading the discussion in sectors such as banking, retailing, healthcare, education, among others, in large companies as well as in startups, who have understood how impact assessment can accelerate processes of innovation.
FW: How does AI gain confidence in companies and ventures? How do we break the mistrust?
GN: In this data economy we live in, new technologies need to be managed safely, and companies like us who build these technologies have that responsibility. It is therefore crucial that these companies make data management consistent with security, privacy and property standards.
Moreover, now that EA technologies have the ability to emulate cognitive abilities that until recently were unique to humans, we have begun to use it to support us in making important decisions that require ethical principles and must be taken with complete independence from prejudices, given their impact on the lives of people and businesses.
People expect all decisions and attitudes that a company can take to be based on ethical principles. When these actions are determined by machines, we must ensure that these systems also work ethically.
A recent study by IBM's Business Value Institute has shown that 82% of companies around the world are considering introducing artificial intelligence models, but 60% still have a cautious attitude or feel distrustful. So we try to break this mistrust. An important example is the system IBM has already developed to ensure that AI provides more aggressive and impartial results. The new system is able to detect bias, make recommendations to minimize it and increase transparency by explaining in real time what has led to decision making to the detriment of another. Being able to explain in a transparent way how and by whom the AI system is trained is essential to enhance trust.
FW: What core innovations can IA generate for the business strategy of the company?
GN: Artificial Intelligence generates disruption in enterprises, transforming industries and professions. Why? Because at the moment we live, companies have value not because of their physical assets or production capacity but because of their ability to manage their data, understand their customers, manage information, and get insights and competitive value from them. So, in order for a company to really be competitive in this scenario dominated by the digital revolution, the company must have a solution that understands the data. A type of intelligence that understands this range of information and manages to give context and meaning to them. Something that really can help to find what is written between the lines of this data is something that allows differentiated perception and serves as support for decision-making.
And since 80% of the data in the world is not structured, come from different sources and formats, and are not information that can be interpreted by traditional computer systems, we must use artificial intelligence in the cloud to give companies the ability to transform these unstructured data into useful information and the speed needed to acquire competitive advantage. AI has importance in understanding these unstructured data and helping to transform this sea of information into insights. AI systems are able to understand, analyze and extract value from invisible data, and give companies the knowledge they need to transform their customers' experience by enabling them to better understand consumer preferences, improve overall experience and help you make decisions right now. This enables the company to implement and transform its business strategy with real business results, with increased productivity and sales growth, which has a major impact on company decision-making and gives them competitive differentiation.
FW: How to make these EAs made by companies practical for customers and end-users?
GN: Watson is the business platform for AI. We provide technology companies so that they can develop specific solutions for their business and generate benefits for their customers. Hundreds of companies in Latin America are already using and benefiting from the use of Watson's artificial intelligence in various sectors. We have examples of application in our day, such as the virtual assistant "Bia", of Bradesco; new Volkswagen cars such as Virtus, Tiguan and Vento, which already come with cognitive leadership that interacts in natural language in Portuguese or Spanish; AI that interacts with visitors to the Museum of Anthropology in Mexico; AI's decision at the St. Paul Business School in Brazil looked at Netflix's education; Seguros Equinoccial from Ecuador, which launched the first Intelligent Auto Insurance ("Auto Conectado") with the application Watson uses to get information about driving habits; or LUZi, an IBM Cloud-based IBM Watson technology, created by a group of guerrillas in rural communities in Guerrero, the country with the highest number of deaths from mother and children in Mexico … in addition to various applications in the retail, agricultural and health sectors to help develop new medicines and to assist doctors in the treatment of diseases such as cancer,
FW: How much does cloud storage accept for this paradigm shift?
GN: In the face of a developed cloud strategy, AI projects thrive on large volumes of data that require a lot of computing and storage power. These are the cloud platforms, thanks to their ability to scale according to demand. If customers want to master AI, they must first master the cloud.
According to an IBM study, around 40% of organizations around the world are likely to invest in cloud-based technologies to complement the AI perspective.
In this sense, a cloud built for AI is the one that will provide the highest levels of integration. IBM Cloud is an application that accelerates integration with data both inside and outside of it; The ideas of new experts are based on technologies such as machine training, IoT and AI.
FW: How do you see the future of AI in the region?
GN: The increase in the acceptance of AI in Latin America is exponential, and artificial intelligence is now a reality across Latin America. The market perceives cross-sectoral AI solutions from new and small businesses to mature and traditional subjects from all economic segments. We have hundreds of examples of companies that use Watson in the region, from different sectors. These companies have already changed the way they interact with their customers using AI to offer new experiences. The examples are many and today we see that all industries are looking for a digital transformation used by artificial intelligence.
The evolution of the AI goes in the direction of the people who work more and more with the machine, expanding the ability to think and create hypotheses about the development of intelligent systems that will help us solve increasingly complex human problems. So the sooner we overcome the barrier of mistrust, the quicker we will take advantage of new technologies by using them to make fair decisions and gain new competitive advantages.
Let's see that AI really turns into industries and occupations in the coming years. The future will be those who embrace these new capabilities that engage in this new era by implementing tools that benefit and enable people to turn from customer service to sectors with a major impact on society such as health, security.