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"Artificial intelligence is a simple vision in which computers become indistinguishable from humans": Pradeep Dubey, researcher at Intel.
Regarding this report, the question revolves around the perception that the business is about artificial intelligence (AI), or rather what you do not have. That is to say, thanks largely to the cinema, when discussing the subject, one immediately thinks of humanoids, cyborgs, robots. However, for the chains, there is a growing and palpable activity, and even if it needs more targeted knowledge, there are opportunities in virtually all industries with surprisingly everyday solutions.
Currently, 85% of companies worldwide believe that technology is a key component of growing its business, which translates into increased use of technologies such as AI and the like. machine learning.
Gustavo-Nava
In this regard, Gustavo Nava, Sales Manager at Nokia Software, shared that this trend has been with us for some time, improving the Internet search engines for example, or helping travelers to get the best prices on the plane tickets.
"There are applications of language recognition that when they become a daily application, they are no longer called IA, but they share the same principle, the ability of machines to process and apply intelligence in decision-making, "said the interviewee.
According to Gartner, this segment will grow this year, a business volume of $ 1.2 billion, driven by customer-oriented solutions, and progress made in neural network systems deep (DNN). According to forecasts, the house of analysts predicts that the 70% increase that it will record in 2018 will be reduced to 62% in 2019 and 39% in 2020. another part, in 2021 and 2022, estimates that the value of cases related to this issue will increase by 26% and 17% respectively.
According to Gartner vice president, John-David Lovelock, AI promises to be the most advanced technology. disruptive over the next 10 years due to advances in computational power, volume, speed and variety of data.
Baltazar-Rodríguez
For his part, Baltazar Rodríguez, technological evangelist at IBM Mexico, has ensured the brand in this technology, so he has done research and development in specific areas such as l & # 39; machine learning, deep learning, information retrieval, language processing, knowledge modeling and Combat of Cognitive Bias, among others.
"It must be remembered that artificial intelligence, both in Mexico and around the world, had to go through an initial phase of understanding and spreading technological values before joint ventures. They will begin to see 39; utility of the proposal.However, unlike other technologies, artificial intelligence has been a lot of interest, which has accelerated its adoption around the world and in Mexico this is not the case. is not the exception. "
Claudio-Caballero
For Claudio Caballero, Alianzas SAS Mexico manager, the country understands the potential for transformation of the AI, and although there has many areas to conquer, the progress is significant: 80% of the banks that operate in Mexico apply or will apply the AI; just over 30% of startups -startups- is based on this innovation and is one of the few countries to have established a government strategy to promote the use of this proposal.
More everyday than it appears [19659014] For IBM, there are companies that have a large number of customers where artificial intelligence allows them to develop mechanisms for But on the other hand, there are companies that handle massive amounts of information and they have to find hidden patterns in all this data to develop a new value or to detect future risks ", explains Rodríguez
Following this line of thought, financial services, health systems, the public sector, are clear examples of institutions facing these challenges. Even the spokesman said he detected an presence of AI in SMEs in Mexico, particularly because cloud-based services allow small deployments that can be expanded economically to the point of need. in.
we see in this one of the big drivers of massification since the AI can act as a big market equalizer, where a small or medium sized company can compete with big companies by way of mechanisms. attention or similar or superior intelligence. For the SAS, sectors such as manufacturing and trade can be developed through high-level manufacturing automation platforms – this would increase the productivity of a niche whose exports already account for 95 % of gross domestic product (GDP). For the second area, it helps to improve customer service systems through tools such as chatbots and facilitates the development of customized strategies and products.
Max-Tremp
Similarly, Max Tremp, Director of Engineering at Cisco For Latin America, he pointed out that a sample where the IA has already held his promises are in finance with the detection of fraud, security with the blocking of spam and the detection of malware. In the industrial energy consumption has been reduced, we are talking today about facial identification; and in medicine the diagnosis of pneumonia and skin cancer, etc.
"At Intel, we want to go further, we are looking to create a new type of artificial intelligence that can understand the data statistics used in all areas, and that the management of the nature of this information is very different from reality, "said Ricardo López, sales director of Intel Mexico.
In a survey conducted by SAS with American consumers, she found that:
• 60% of respondents feel comfortable with the idea of the doctor using AI to analyze their medical information and find a cure
] • 34% do not oppose what their bank uses AI to offer financial advice.
• 40% would not have a problem with a store that, based on an AI solution, would send personalized promotions based on their location.
Ricardo-López
Monetize
According to Nava, the possibilities of monetization are enormous, of the greater efficiency in the processes such as in the sector of the logistics, with the best knowledge of the customer to provide shopping recommendations in the "retail" or inventory management sector.
At the same time, AI allows to know consumers in detail, not only as profiles but also as people. and in this way, be able to predict their needs and preferences. This knowledge makes it possible to make personalized offers of products and services, but also to propose individualized consultations.
On the other hand, it can be used to detect patterns in the information generated by the operation and thus detect harmful standards, wastage, example This translates into efficiency.
"Our customers told us that about 43% of the time their IT staff is devoted to problem solving and for every dollar spent on infrastructure purchases, for the next 5 years they will spend 15 keeping the equipment running.Using intuitive networks enhanced by machine learning can drastically reduce that number, improve productivity and redirect those resources to business activities. Innovation that helps to focus technological knowledge on the strategic objectives of companies to improve the competitiveness of the market. ", Said Tremp.
For López, we live a new source of artificial intelligence, mainly for four main reasons: more computing (the cloud makes it accessible to all high-capacity computers); more data (especially with the proliferation of cameras and detectors); better algorithms (approaches have become academic curiosities that go beyond human performance in tasks such as reading comprehension); and vast investments for all economic sectors of the world
Canales
As for the associates, Caballero said that they need to learn and understand what that's the AI. To do this, they work together to train them on the business needs of customers, so that they can determine when it is appropriate to market a technology like this because in many cases it is more important to cover the base points. "We believe that there is a bright future for integrators in this field because: Artificial intelligence is as powerful or as revolutionary as its training.This is not a magic solution to problems, "Baltazar shared.
In this sense, integrators can develop intelligence models where they pour their own knowledge of the industry. In this regard, the spokesman gave the example: an integrator is a specialist in the optimization of industrial production processes in the chemical industry, he could integrate his knowledge into an AI model and market a solution for this segment. a customer as an integrator, consider that the intellectual property of these models is exclusive of who develops them. This means that if an organization forms an AI model on IBM services, that training can not be used by the manufacturer with another customer, and that protects the partners.
"The first step is to detect opportunity where the AI can generate business value.Remember that you start by operating large amounts of information for autonomous pattern detection or in places where personalized attention could generate a significant differentiator, "Rodríguez reiterated.
The next step is to design, train and implement IA integration, under an interactive model of successive approximations, with "leverage" models available in the cloud: short initial investment, with short-term results to evolve over time.
"It's also important our development cycles implement governance mechanisms that ensure that our AI training is not skewed," says IBM specialist.
For Tremp, any integrator and distributor is able to sell the AI incorporated into different products, it's just a question of how to position. "A good example is the collaborative portfolio where, thanks to artificial intelligence, we can recognize and filter out the most common noises when a person does his desk and eliminate noise like barking and ambulances. "
Use programming capabilities to develop top-of-the-line solutions from manufacturers that Cisco: large integrators with software factories, business consultants and even independent programmers.
"The integrator must have a strategy to eprise that focuses either on the industry, an architecture or some cases of horizontal use. Then you have to make alliances with the different manufacturers that help you create a complete solution. Of course, it is always important to make a consultative sale that allows us to discover the needs and challenges of the customer and then give a technological solution that resolves, "says Tremp.
According to a study by PricewaterhouseCoopers AI could increase regional GDP by 5.4%
Porvenir
According to Baltazar, the following steps for the future AI industry in Mexico refer to the demystification of what this technology can and can not do. The first steps are already taken by large companies and SMEs who use it to transform their business models.
"The next move should target more companies and the Mexican Academy, see in this technology the power of transformation to develop more human resources and more innovative business models, and therefore to take this new information revolution actively and not passively as it has happened in others, "said Rodriguez.
According to him, there is a lot of potential for Mexico plays a very important role in this transformation.Would consider that before, to generate a "revolution", it was essential to have capital to invest in large projects, today, thanks to service-oriented cloud models , the rarest resource has become creativity.
Tremp, believes that it is important to focus on the adoption of existing technology, especially since the world is involved in the transition to è Every digital company, whether it likes it or not, is going to be affected by digitization, and artificial intelligence is only one part of the puzzle that will separate the winners from the losers. "We are not in a bubble called Mexico, we are in a globalized world and we must understand that we must exploit the talents to be competitive on a global scale, and we must only unify the technological world with that of the world. business, "he said.
López mentions: "In the coming years, automatic voice recognition by AI will enable retailers to provide faster response times, improving customer service and making them more efficient. 39, buy three times faster using voice search, than navigate the menus in mobile applications.It will not be strange that the number of companies that will adopt artificial intelligence solutions will increase, reaching more quickly their commercial objectives. "
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