Why should children understand AI to better use it?

¿Por qué los niños deben comprender la IA para usarla mejor?_4

Why should children understand the AI to use it better?

A pilot program from the MIT Media Lab teaches children how to develop an algorithm so they can understand better the possibles biases generated. Knowing how artificial intelligence affects society can help them realize that the technology around them is not neutral.

A student summarizes how he would describe artificial intelligence (AI) to a friend: “It is like a baby or a human brain, because it has to learn,” he explains in a video, “and it stores […] and uses that information to solve things ».

Most adults would have a hard time coming up with such a convincing definition of a fairly complex topic. At just ten years old, this student was one of 28 participants, ages 9 to 14, in a pilot program held last summer and designed to teach them AI.

The curriculum plan, developed by MIT Media Lab (USA) graduate research assistant, Blakeley Payne, is part of a broader initiative to bring these concepts comprehensively into school classrooms. The plan, which is open access, includes several interactive activities that help students discover how algorithms develop and how those processes affect people’s lives.

Today’s children grow up in a world surrounded by AI: algorithms determine what information they see, help them choose the videos they watch, and influence how they learn to communicate. It is hoped that by better understanding how algorithms are created and how they affect society, children can become more critical users of this technology. It could even motivate them to help shape their future.

“It is essential that they understand how these technologies work so that they can better use them,” emphasizes Payne. “We want them to feel empowered.”

¿Por qué los niños deben comprender la IA para usarla mejor?_3

Why use children?

There are several reasons to teach AI to children. First, economically: several studies have shown that exposing children to technical concepts stimulates their problem-solving skills and critical thinking. This can prepare them to learn computer skills faster throughout their lives.

Second, there is a social argument. The primary and secondary school years are particularly important in the formation and development of children’s identity. Teaching technology to girls at this age can prepare them to study it later or pursue a career in technology, says Jennifer Jipson, professor of psychology and child development at California State Polytechnic University.

This could help diversify the AI and technology industry in general. Learning to deal with the ethics and social impacts of technology early on can also encourage children to become more conscientious creators and developers, as well as better informed citizens.

Finally, there is the problem of vulnerability. Young people are easier to mold and impress, so the ethical risks of tracking people’s behavior to design more addictive experiences are more acute for them, according to the professor of student-centered design at University College London (UK) Rose Luckin. Making children passive consumers could harm their privacy and long-term development.

“Between 10 and 12 years is the average age when a child receives their first mobile phone or their first social media account,” says Payne. “We want them to really understand that technology represents opinions and goals that do not necessarily coincide with their own, before they become greater consumers of technology.”

¿Por qué los niños deben comprender la IA para usarla mejor?_2

What is the opinion about the algorithms?

Payne’s curriculum includes a series of activities that encourage students to think about the subjectivity of algorithms. They begin by learning about them as if they were recipes, with input information, a set of instructions, and a result. The children are then asked to “build” or write the instructions to come up with an algorithm that will generate the best peanut butter and jelly sandwich.

Quickly, the children in the summer pilot program began to understand the underlying lesson. “A student asked me, ‘Is this supposed to be an opinion or a fact?'” He recalls. Through their own discovery process, the students realized how they had inadvertently incorporated their own preferences into their algorithms.

The following activity builds on that concept: Students draw what Payne calls an “ethical matrix” to think about how different stakeholders and their values can also affect the design of the best sandwich algorithm. During the show, Payne related the lessons to current events. The students read together a Wall Street Journal article about how YouTube executives were planning to create a separate version of their app just for kids with a modified recommendation algorithm. The students were able to see how investor demands, parental pressure, or children’s preferences could convince the company to redesign its algorithms in completely different ways.

Another set of activities teaches students the concept of algorithmic bias. They use Google’s Teachable Machine tool, an open source interactive platform to train basic machine learning models and to develop a classifier between cats and dogs. However, they unknowingly receive a skewed data set. Through a process of experimentation and discussion, they realize that the data set leads the classifier to be more accurate with cats than with dogs. Then they have the opportunity to correct that problem.

Once again, Payne connected that exercise with a real-world example by showing students images of MIT Media Lab researcher Joy Buolamwini speaking to Congress about facial recognition biases. “They were able to see how the kind of thought process they went through could change the way these systems are created in the world,” Payne explains.

¿Por qué los niños deben comprender la IA para usarla mejor?

Towards the education of the future

Payne plans to continue refining the program, taking into account feedback from participants, and is exploring several avenues to expand its reach. Its objective is to introduce some version of it in public education.

Beyond that, he hopes it will serve as an example to educate children in technology, society and ethics. Both Luckin and Jipson agree that this provides a promising foundation for how education could evolve to meet the demands of an increasingly technology-driven world.

“AI as we see it in society right now is not a great equalizer,” concludes Payne. “Education is, or at least, we hope it is. So this is a fundamental step to move towards a more just and equitable society ”.

Source: https://www.technologyreview.es/s/11469/por-que-los-ninos-deben-comprender-la-ia-para-usarla-mejor


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Do you know the public / private financing options for R&D in Chile?

¿Conoces las opciones de financiamiento público/privado para I+D?

Do you know the public / private financing options for R&D in Chile?

Source: CIDIF 

Among the institutions that seek to support innovative solutions we can name:

  • CORFO: The largest institution to find financing for national projects. Among the funds we can mention the Crea y Valida, to help carry out innovative products or services with a co-financing of up to 150 million pesos, and the Flexible Assignment Seed Subsidy (SSAF), which is mainly oriented to startups.
  • Sercotec: The Technical Cooperation Service is a private law corporation, dependent on the Ministry of Economy, Development and Tourism, dedicated to support micro and small businesses and entrepreneurs in the country. If you have a project that is just starting, the recommended fund is Capital Seed Emprende. If your project is already in advanced stages, you can apply for the Grow subsidy.
  • FIA (Foundation for Agricultural Innovation): This organization seeks to promote the development of enterprises in the area of irrigation and agricultural efficiency. Offers subsidies for young entrepreneurs that contribute ideas to the national agriculture.
    ANID: By 2020 it was decided that scientific projects will be financed by ANID, instead of CONICYT. Among the notable funds is the IDeA I + D + i, aimed at non-profit legal entities.
  • COPEC UC: This Foundation seeks to unite industry and academia with the purpose of promoting R&D to innovate mainly in the natural resource sectors. The Regular R + D to Innovate Contest can subsidize up to 4000 UF and is aimed at individuals, companies, universities and research centers.
  • StartUp Chile: This is a business accelerator that has driven almost 2,000 startups today. It has free funds of up to 50 million pesos for projects that are just emerging (Seed) or that have already been validated (Bridge).

Open innovation funds are another way to acquire financing. This is a model of linking with the needs of companies in an efficient, agile and low-cost way. ChileGlobal Ventures (Fundación Chile) develops open innovation challenges with companies and organizations. ImagineLab, Microsoft’s incubator and accelerator, also offers open innovation opportunities throughout the year.

At CIDIF we can help you formulate, apply and offer technological support in projects for the financing sources you need. Feel free to contact us for help.


Latest Post:

Do you know the benefits of the R&D Law?

¿Conoces los beneficios de la Ley I+D?

Do you know the benefits of the R&D Law?

Source: CIDIF 

The Research and Development (R&D) Law aims to contribute to improving the competitive capacity of Chilean companies, by establishing a tax incentive for investment in R&D, allowing them to reduce the first category tax to 52.55 % of resources allocated to Research and Development (R&D) activities.

R&D is understood as those activities that seek to generate new technological knowledge (Research) or the application of existing research knowledge to improve the processes or products of a company (Development).

The Law is flexible, in the sense that R&D expenses can be made by the company itself or by hiring third parties. In addition, it is aimed at companies of all sizes, sectors and seniority.

Since the Law came out in 2012, more than 400 companies have applied for the R&D Law in order to subsidize their innovation activities.

In order to access the R&D Law, it is necessary to complete an online application. There, CORFO will verify that the activities budget is in accordance with the definition of R&D activities and that the costs are consistent with market conditions.

At CIDIF we can help you formulate, apply and offer technological support in projects for the financing sources you need. Feel free to contact us for help.


Related Post:

The Power of Prediction in Industry​

Entrada blog

The Power of Prediction in Industry

by Adolfo Navarro Mena

Questions to be resolved:

  • What are predictive algorithms?
  • What is possible to predict through them?
  • How does that impact the smooth running of the industry?
  • What technologies has Forcast developed in this area?


What would have been the fate of Rose and Jack if the Titanic technical team had had a modern system to predict the appearance of icebergs? We will never know, but what we are sure of is that with a better predictability the captain could have made a faster and more assertive decision, favoring the protagonists in a better way.

The previous example makes us reflect on the way our decisions impact; But, what would it be like if we had more tools to know what the future will be like? Probably centuries ago the prediction was something associated with the occult or esotericism, but with the passage of time the prediction has become something more common and accessible than many believe. And by common, we do not mean the Octopus Paul, who “supposedly” had the ability to guess the outcome of football matches during the 2010 World Cup, is somewhat more complex and is related to the new technological capabilities of the 4th industrial Revolution.

What is Data Processing?

Data mining, also called knowledge discovery in databases, in computer science, is the process of discovering patterns in large volumes of data. The field combines statistical tools and artificial intelligence (such as neural networks and machine learning) with database congestion to analyze large digital collections, known as a data set.

Source: Enciclopedia Británica, 2020. 

Data determines our decisions

“We know that data is the new oil,” says Fernando Castillo, Forcast’s operations manager; However, not all the information produced by a company is in good condition to be used or to deliver positive results, says the expert; But, thanks to the new capabilities of the various algorithms coming from computer engineering, today industrial processes can be carried out with a greater number of advantages in the face of the adversities of large-scale production.

Through what technologies is the above possible?

The machinery used for mining, agriculture, or other industries produces enormous volumes of information full of relationships that multiply and extend in various directions. Something that, according to Fernando Castillo, is difficult to be analyzed by human beings since it would take too long and, in most cases, it would be impossible to carry out. However, today we have various computer systems that are highly capable of using all that information produced and giving new answers to operators to make intelligent decisions for the benefit of a company. It is what is known as neural networks, the ones that even have memory.

Fernando Castillo (COO Forcast.)

“There are techniques that can focus on predicting anomalies, others on making more complex classifications that directly show production errors. For example, if an engine gets very hot in certain cycles, it is possible to preempt a failure that causes production to stop, ”says Fernando Castillo.

This is possible since we work with algorithms and time series that allow us to evaluate the past and present behavior of the machine to know during production what problems the company will eventually deal with.

“Every time new and better learning architectures are born and with that we are modeling more precisely”, says Fernando Castillo.

Regarding its applications, the COO of Forcast indicates that its scope is very wide, “all industries that have machinery can benefit from predictive algorithms”. This is the case of the bolts used in the structure of SAG mills for mining. Forcast developed and applied a system capable of predicting failure of these metal parts based on their performance history, what does this mean?

Fernando Castillo says that if the bolts of this mining machinery fail, this may mean that a mill does not operate for two full days. With a predictive system, you can know when the best time to do maintenance will be and stopping the operation of the mill is reduced to, for example, two hours. In this way, the company saves millions of pesos in loss.

On the other hand, a greater optimization of resources is also achieved. This is the case of solar energy, which decreases the quality of its energy production due to the weakening of the panels. With predictive algorithms it is not only possible to predict failures but also strategic decisions can be made. For example, postpone the repair of a panel if it still does not have a decisive influence on production and save on emergency maintenance that are much more expensive than scheduled.

Taking the leap towards digital transformation in the industry

For Fernando, all these opportunities are located in the field of digital transformation that the world is experiencing. The possibilities are endless and, in his own words, it is essential that everyone explores how companies can benefit by making use of these technologies and improving the ability to make smart and wise decisions.


Related Post:

Astronomy and Data Science in Chile… The perfect mix.

Astronomía y Data Science

Astronomy and Data Science in Chile… The perfect mix.

by Cristían Irribarra

Few things are more alluded to in the field of science and technology in today’s news and cultural programs in Chile than Astronomy and Artificial Intelligence (AI). Interestingly, we rarely hear of how both disciplines have symbiotically empowered each other, pushing the edges of the computational paradigm at breakneck speed. The cutting edge in data storage and computing power is updated with each new super telescope to be inaugurated.

Downloading or pre-processing a modest set of astronomical data on a conventional laptop can take hours and even days, an alternative is imperative with the EELT and LSST just around the corner, promising hundreds or perhaps thousands of Terabytes of data per week. Furthermore, the computing power required for an expedited investigation is vastly greater than what can be expected with a personal computer. The management of these huge databases is today the work of Data Centers around the world, giving way to the birth of “Astro-informatics”, at the national level, the first center dedicated to this is ChiVO (Chilean Virtual Observatory).

The cutting edge in data storage and computing power is updated with each new super telescope to be inaugurated.

ChiVO is not only a warehouse with about a Petabyte (that’s a million Gigabytes) of storage capacity, but it also has services and software aimed at facilitating data processing: algorithm libraries for on-line processing, data simulators for the development of AI models, interfaces and manipulators of astronomical images are some of them.

“Data science is growing and in Chile astronomy is, clearly, one of its main drivers. “

It will undoubtedly be interesting to see how the convergence between better and better telescopes, more powerful astronomical instruments and more advanced tools for data processing will cause unprecedented discoveries in both basic science and applied computing, and with Chile as headquarters. AI will be the main driver and the area that benefits the most from this. How exciting it is to think about what kinds of tasks the algorithms of the near future will master with so much data at their disposal!


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Brains migration, the other migration

Fuga de Cerebros

Brains migration, the other migration

by Cristóbal Mena

The search for new and better opportunities seems to be an intrinsic need in human beings, they have always looked for better living conditions physically and psychologically. As Abraham Maslow said, human needs are ordered by hierarchy which pyramid, from the base of the physiological to the tip of self-realization. Always on the rise, never on the decline. This impulse, therefore, is one of the main causes of the migration phenomenon, more current than ever in recent years where more than 272 million people, as a result of dictatorships, wars, poverty or simply boredom have left their homes and nations. in search of a better future.

In developing societies, as in the case of Chile, there is a particular type of emigration that can become a serious problem to achieve development. We are talking about the brain drain, the “brain drainage” that corresponds to the emigration to other countries of advanced human capital, the highly educated population, why does this happen and why is it harmful?

Let us give the case of science in Chile. Scientists are (we are) restless people, who study long and complex careers, based on research that is a process in principle without guaranteed results, but with a very high payment potential in its applicability in industries for the development of new products and processes. . Ask the Not Company, which created the Not Mayo, if not.

Unfortunately, Chile is famous in the OECD for being the country that invests the least in research and development: 0.4% of GDP. This is very little compared to Brazil (1.15%), the US (2.7%) or Israel (4.1%). A smaller budget translates into less funds for new research, a fight for existing ones, low salaries for scientists, among others. Worse, many of the research-critical scientific inputs take months to reach laboratories or are inexplicably detained in customs. Still, with everything against it, Chile is recognized for its quality scientific research.

To promote the formation of advanced human capital, the Chile Becas Program was created in 2008. But it has not been enough, and many of those who study abroad stay there to make their lives, mainly in Europe and the United States, working in private industry in pharmaceuticals, aerospace, processed foods, and mechanical industry and other disciplines that cannot. work at such a high level in Chile.

“Although there are no official figures, it is estimated that the unemployment rate among returned doctoral students exceeds 12%.”

– Cristóbal A. Mena

But … How to blame them? Although there are no official figures, it is estimated that the unemployment rate among returned doctoral students exceeds 12%. Many times a researcher must work full time as a teacher in addition to carrying out his lines of research, and under the current controversial agreement of Becas Chile, the beneficiary must compulsorily make up the amount invested in him by working for a period in Chile, or by paying in cash. This would not be a problem if there was a large supply of jobs. The system is not attractive, and teaching, where more than half of the scholarship recipients go, only seems to repeat the problem in a cycle.

On the other hand, the local private sector also invests very little in research. According to data from the Ministry of Economy, only one in ten companies reports carrying out R&D. This despite the fact that it is proven that the most successful companies with the best chances of survival are those that carry out internal research on new products and services.

From these two edges, the public and the private, two logical solutions for the brain drain emerge.

The first comes from the creation of a better legal and ministerial framework for science and research in Chile, with greater funds for research to allow scientists the possibility of dedicating full time to their work, improvements in things as simple as a special customs protocol for scientific supplies, make Becas Chile have a local labor insertion strategy for advanced human capital. Let’s hope that the new Ministry of Science and Technology will fulfill its role better than its predecessor, Conicyt, for scientists in Chile.

Regarding the private, national companies must assume that there is always an inherent risk in innovating, and invest more in research and development for their products, and thus create a virtuous circle in which more resources mean greater incentive to study scientific careers, generating more researchers and advanced human capital available, expanding the range of possibilities for everyone.

Much remains to be done to really establish research in the national culture.

– Cristóbal A. Mena

Today, although considerable progress has been made in the national innovation environment, especially thanks to the work of incubators and organizations that create competitive instances (CORFO, If-Conecta, UC Innovation Center, among others), much remains to be done to really establish research in the national culture. We aspire for the day to come when both sectors, public and private, really put up with the necessary capital to promote research and thus stop the brain drain, and that Chile becomes a pole of scientific and technological immigration, as was once the United States at the beginning of the last century, or within South America Brazil under Don Pedro II the “scientific emperor.”

It requires some will, laws, and investment. Chile is already a popular destination for immigration in Latin America, why not also make it attractive to researchers? Development is within our reach, just take the next step.


Related Post:

Astronomy and Data Science: an elementary relationship

Astronomía y Ciencia de Datos: una relación elemental

Astronomy and Data Science: an elementary relationship ( with great potential for the local economy).

Source: Forcast

Do you remember Katie Bouman? If not, we tell you that she was the scientist who at the beginning of 2019 made a photograph viral on social networks that was taken next to a stack of hard drives, which in total amounted to more than 5,000,000 gigabytes, essential to contain the total data that allowed the creation of the historic first photograph of a black hole.

That milestone, which captivated the press around the world, was just one part of the immense display resulting from the coordination of eight telescopes located in cities around the globe; in addition, it produced large volumes of data that had to be processed through a special algorithm.

This is how dealing with a large amount of information is a task that for astronomers is natural since “astronomy is a science based on data”, as stated by Mauricio Araya, PhD in Computer Science and Academic at the Federico Santa María University, who in turn points out that this analysis cannot be done separately.

“The data must be worked together. Part of that responsibility is handed over to the computer and it is precisely there where the concept of data science comes in, since various systems are developed to automate the obtaining of results ”, she concludes.

Astronomical data as a tool to contribute to development

As a result of its geography and great diversity of biomes, Chile is home to a series of natural laboratories that, according to the book «Natural Laboratories for Chile: Science and Innovation with Advantage» by Clapes UC, are strategic spaces that have a series of characteristics and conditions that allow to attract the attention of world science to do research.

When natural laboratories are located in emerging countries, they provide comparative advantages that cannot be replicated to other places or contexts given their nature. They allow the study, for example, of geophysical phenomena in the field of volcanology, natural disasters or the investigation of local species collaborating with biochemistry.

In the case of Chile, it is common to hear about the unique characteristics at the planetary level of the northern skies, which have managed to attract large astronomical consortia and several of the world’s leading universities such as the Las Campanas Observatory, operated by the Carnegie Institute of the United States, or the Observatory of the University of Tokyo in the city of Atacama (TAO).

In the words of Felipe Larraín, current Minister of Finance, with the comparative advantages of the skies of northern Chile “investments were made in infrastructure for research previously unthinkable in the country (about US $ 5 billion by 2020)”

“In contact with the frontier of knowledge”

Why is it relevant to continue developing this sector? Doctor Mauricio Araya indicates that although this is a very small area, from an economic perspective, “here in Chile we have the best astronomy in the world in terms of observatories, infrastructure and the amount of publications that are made.”

If we compare astronomy with mining, the most developed sector and the one that attracts the most dividends for Chile, Araya argues that even so the latter is not the most advanced compared to mining in other countries. However, Chile has a high level in engineering, instruments and astronomical science.

“Through astronomy we are permanently in contact with the frontier of knowledge, a window to the future to know what the problems will be,” he concludes.

All these elements help us to compose a great puzzle that shows us the importance of this area of ​​knowledge. But there seems to be a missing piece, the one that allows us to understand how valuable astronomy is when considering the other sectors of the local economy. More precisely, what will be the destination of all the knowledge acquired in data management in astronomy considering the other needs of the country?

Using the universe to solve problems on Earth.

Demian Arancibia is an Industrial Civil Engineer and Master in Systems Engineering from Cornell University, United States. His vast experience in the field of national and international astronomy led him to lead the Astroinformatics Initiative of the Ministry of Economy created in 2013.

The program, through various stages and with the support of previous initiatives, helped to determine a series of opportunities for the Chilean State from an economic dimension. The team was voluntarily integrated by prominent experts from national and international universities; Among them, Massimo Tarenghi (Italian physicist and astronomer), María Teresa Ruiz (National Prize for Exact Sciences), Juan Rada (economist), who considered local capacities, the development of a market, among other factors.

Astronomía Icon1

Thanks to the infrastructure it is possible to produce a large amount of high quality information. What Arancibia defines as “data acquisition”.

Astronomía Icon2

These data are a great value since they are knowledge about the universe.

Astronomía Icon4

There is a high level of sophistication to distribute data and the content that is generated to make it accessible.

Astronomía Icon3

This enables new opportunities in the field of data exploration and visualization.

Arancibia indicates that these opportunities (see table) are linked to existing needs in other industries such as banks, mining, or those companies that need to enhance their marketing areas. All, as in astronomy, must process large volumes of information that must be analyzed and visualized.

The above is also shared by Doctor Mauricio Araya. He says that astronomers estimate that the observable universe has more than 100 billion galaxies, so increasingly sophisticated intelligent systems will be needed to deal with the processing of all that information. This ability may well be useful in other areas such as those already mentioned. As an anecdote, Araya says that many high-level professionals, after going through astronomical centers of great relevance, come to work for famous companies such as Spotify, Amazon, among others.

Data management for the economy of the future.

Since 2017, the Ministry of the Economy, through its “Economy of the Future” area and with the preliminary support of the European Southern Observatory (ESO), ALMA and Amazon Web Services, has promoted the creation of the Data Observatory or Data Observatory Foundation, that in the words of the ministers Andrés Couve and José Ramón Valente will have as mission “to receive, process and store the data sets generated in the country, and that, due to their volume, nature and complexity, require curation, exploration, visualization and analysis that facilitates its availability for the development of knowledge, technology and innovation, and its applications for the economy and society ”. [read column] 

This opportunity for Arancibia will help advance towards a new stage that allows undertaking specific projects and initiatives: training of talents, generation of technologies, solving problems.

“A company in collaboration with this initiative and that effectively generates solutions, that addresses the problems of astronomy, has an asset that allows it to sit at the table to carry out projects on a global scale. For example, a company that currently works with the Latam company in its marketing area in Chile could collaborate with the Data Observatory to scale its solutions and be able to work with American Airline, Emirates; in other words, working with an airline that has a greater number of customers ”, he concludes.

The foregoing also impacts the job opportunities of professionals who have specialized in the field of data. Today, many of them work in academia, observatories or public initiatives, but local technology companies are emerging increasingly that are awakening the interest of various industries to solve problems using the most advanced in information technology, and with the support of talents capable of meeting those needs.

Cristián Irribarra is an astronomer from the Universidad Católica de Chile and currently works as a data scientist at Forcast, a company specialized in generating solutions based on data science, artificial intelligence, machine learning, among other technologies.

Cristián’s mission within Forcast is to receive any type of numerical data from companies and from there create a statistical model with computational tools that allow interpreting the behavior of these numbers to infer their future and what things can be obtained.

“If you are given the sales history of a store, in principle you could know how much you sell daily, the amount of profit you will have at the end of the month; However, if you intrude deeper into the data and use special systems you can optimize the product offer, know what prices to raise or lower, how people respond to price changes, how much the consumption of an object will change you in specific in the future, ”says Cristián.

To carry out this work, the expert points out that a database is essential, “that is almost an axiom of the data scientist and artificial intelligence. The more data you have about something, the better the model you use will perform; in addition, you will assign it greater versatility ”.

“Very recently we were making a prototype to detect anomalies in street light poles with cameras; that is, if they are crooked, damaged or otherwise. One of the things that most caught my attention is that we used a system that was pre-made but to interpret other images. He did not know what a post was, but with no more than a thousand images of posts taken with my cell phone, in about 30 minutes the system was able to recognize them ”.

Cristián indicates that this example demonstrates the scope of a correct interpretation of data since systems are becoming more and more powerful, “the story is knowing how to take advantage of it and use it for various industries. If we think only in detection models, there are countless possible applications that we have not yet tested. “

However, in some cases companies have effective information gathering systems, which makes the task easier and faster; in other cases, there are problems in recording the data. For the latter, Cristian indicates that it is Forcast’s task to know how to deal with those gaps and inconsistencies on the part of customers.

“Many times the registry is filled out by hand, or they started doing it recently and they don’t have a correct structure, but regardless of that we use it the same. Whether it’s dirty or not, we get to the final product, this is an essential part of what Forcast does ”, he concludes.

The great contribution of astronomy to solving problems shows us the enormous potential of this area of ​​knowledge in the country. Chile will concentrate 70% of astronomical observations by 2024, so a strategy and the support of various productive sectors are required to take advantage of it. 


Related Post:

Exporting #MadeInChile technology to global innovation ecosystems.

Exportando tecnología

Exporting #MadeInChile technology to global innovation ecosystems.

by Adolfo Navarro

Münich was the destination chosen to carry out the third version of the ProChileInnovation Summit, an event organized by ProChile in alliance with the Federated State of Bavaria in Germany, and the accelerator WERK1. The instance seeks to insert SMEs and national entrepreneurs in the main innovation ecosystems of the world to promote other economic sectors of the country.

Marcela Zúñiga is an engineer with studies in process optimization, continuous improvement, project manager, among others, carried out in various countries around the world such as Brazil, Japan and Germany and with extensive experience in international business development in China, Slovakia, Spain, England . India, Latin America, and more. Today she represents Forcast as Country Manager and was in charge of traveling to Germany since the company was selected to participate in the ProChile Innovation Summit 2019.

During the event, the Forcast Country Manager was able to meet with Chilean businessmen seeking to generate business in that country and with various representatives of business accelerators and German companies interested in hiring Chilean companies, “that was mainly the focus of the event, where we they talked about the real requirements regarding technological services and software development ”. In addition, the delegation in which Marcela participated had the opportunity to meet the offices of prestigious companies such as Microsoft and BMW.

The event was attended by prominent representatives of the public and private sectors, among them, the Chilean Ambassador to Germany, Cecilia Mackenna; the Director General of ProChile, Jorge O’Ryan, the Vice Director General of the Ministry of Economy, Regional Development and Energy of the State of Bavaria, Ulrike Wolf; the Director of the International Department of the Bavarian Ministry of Economy, Energy and Regional Development, Markus Wittmann.

Marcela Zúñiga participated as a speaker in one of the panels of the workshop organized by ProChile, where various experiences were exchanged, “the perception of what should and should not be done was shared, in addition to providing recommendations and experiences.”

The expert points out that after a trip to the Germanic country in the middle of this year, a series of opportunities have been identified in Munich, “the main German brands and largest companies are there (…) The most serious businesses, with more support, or the most important of this line (IT services and software) are developed in Munich. In addition, it serves as a platform for nearby countries like Switzerland, which are also high consumers of these services ”.

The space granted by this Summit, as Marcela tells us, was very valuable both for its official agenda and that developed by Forcast in parallel. To review the full event program, click here


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The new revolution of Artificial Intelligence in Digital Marketing​


The new revolution of Artificial Intelligence in Digital Marketing

One of the most developed areas within Smart Marketing is the analysis of BigData from machine learning algorithms (Machine Learning). Making use of the immense data repository in the cloud, it is possible to segment and characterize users to make personalized recommendations at the right place and time.

Another area of application of AI in Marketing is advertising testing, with the purpose of measuring the level of impact or effectiveness that it has on the user. A widely used technology here is Biometric Marketing, which basically consists of monitoring the signals of the human body when faced with a certain stimulus. For example, it is possible to follow the path of the human eye and identify the residence time in a particular image.

Customer Service and Retention is another area where Artificial Intelligence will play an important role in the not too distant future. There are already companies that are implementing bots with Artificial Intelligence in order to establish direct communication with the user and offer them personalized options. Digital employees will allow people in the future to focus on what really matters, such as establishing strong and lasting relationships with customers.


Related Post:

Digital transformation index in Chile: How well are we doing?


Digital transformation index in Chile: How well are we doing?

Source: CORFO

According to a study led by CORFO, Chile obtained 43 points on a scale from 0 to 100, known as the Digital Transformation Index, going from “Beginner to Digital Intermediate”. The study considered 8 sectors, eight sectors (commerce, food industry, productive industry, construction, communications, services, health, public administration and basic services) and a total of 465 companies.

The study concluded that “the Communications, Health and Services sectors lead the Digital Transformation, while those in the rear positions are the Public Administration and Construction, this last mentioned being the one that registers the lowest level of maturity”.

The components that the study considered are:

  • Leadership towards digital.
  • Vision and digitization strategy.
  • Digitization of processes and decision making.
  • Forms of work, people and digital culture.
  • Technology, data management and digital tools.

The dimension “Forms of work, people and culture” is the one with the highest level of evolution, which indicates that culture allows a transformation to an Intermediate Digital level, from then on culture can be a brake on transformation if it does not evolve along with the other dimensions.


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