Gartner’s hype cycle has change

Like every year, Gartner, the technology firm has released the technology trends for the coming years. CTOs, CIOs, and CEOs worldwide are evaluating these technologies to figure out the technological efforts they should be focused on and how to strategically implement them.

It 1995, Gartner started to publish the top emergent technology trends and since then, its predictions have gained a reputation among the tech community. Since 1995, this model is seen as the new technology adoption guide. The graph is divided according to maturity, in other words, is it an emergent technology or a technological trigger, is there excessive enthusiasm or overestimation, disappointment and gradual adoption of such technology.

Curva gartner

Those who lived those days would remember this assistant was not very successful. It was a nuisance rather than a help. Finally, at Redmon´s decided to eliminate it. Today, almost 25 years later, these virtual assistants are living a second youth thanks to the Chatbots.

And why this? Because researchers, startups and leading technology companies continue to develop this type of technology years after and turn an extravagant idea into something essential for the society.

Curva-gartner-1995

Primera curva de Gartner 1995

Gartner’s Hype cycle today

This year, the trends curve highlights emergent technologies with a strong impact on the businesses, society and people for the next 10 years. In 2019, the list includes a technology offer ranging from low latency global internet, a virtual map of the real world and imitation of human creativity.

However, this hype has been trending down with “fewer things” on its right side lately, which means Gartner intends to focus more on technologies that can really make it. This is due to a negative opinion of Gartner’s curve during recent years as very few technology trends on the list have been able to overcome the theoretical phase.

As a matter of fact, looking at this curve, there isn´t any blockchain, artificial intelligence, digital twins, deep learning, augmented reality this year as these technologies have been widely implemented. However, analyzing the firm´s lists of recent years, we´ll see that some technologies which had a two-year development period have taken over a decade to start being a reality. For example, in 1995, voice recognition was allegedly at its productivity phase, however, it is now that it has its “place in the world” thanks to the development of deep learning. Two decades later.

Thus, we might think Gartner´s predictions are not very good. None of its 24 curves of emergent technologies included virtualization; NoSQL; open-source, Map Reduce or Hadoop. This is an overestimation of emerging technologies or simply that they do not follow Gartner´s curve rules.

29 August, 2019 Blog Comments Off on Gartner’s hype cycle has change
marketing ia

The top ten AI uses in Marketing [Infographics].

Nowadays Artificial Intelligence based applications in marketing and sales enable companies to know their customers better and to offer them the best products promotions in real time. Chief Marketing Officers-CMO and their teams need automatic learning and artificial intelligence to stand out and take advantage over their competitors.

In pursuit of customer satisfaction, the best CMOs manage to balance their marketing strategies and elements that make the company brand and experience unique.

Knowing how potential buyers make up their minds on how, when and where to buy, turn marketing strategies more interesting. Advanced analytics enables customers segmentation for better knowledge of their preferences. Thanks to this knowledge, products purchasing propensity or churn prevention in the purchasing process or suitable pricing setting can be estimated, among many other things.

According to a recent survey delivered by Forbes Insights and Quantcast Research, the use of AI allows marketing and sales departments to boost sales by 52% and increase customer retention by 49%.

The infographics shows data of the ten most relevant Artificial Intelligence contributions to marketing teams. In the next two years, according to the reports, the implementation of Artificial Intelligence based technologies and automatic learning will be adopted by the companies that realize their benefits.

 

AI-marketing

21 August, 2019 Blog Comments Off on The top ten AI uses in Marketing [Infographics].
concierto-musica

Math and music: Advantages of using artificial intelligence

We are used to getting Spotify´s music selection and classification based on what we have listened to and our music taste. Thus, the Swedish company must upload over 20000 new songs or podcasts each day and thanks to artificial intelligence´s help. It provides the music we have listened to the most for some time and its function: “your summer memories” and it creates different music groups depending on what we have listened to lately.

With this help, music gender classification has become obsolete as music lists generation by artificial intelligence do not depend on music gender but on “the good music”. It´s obvious not everybody likes the same music gender, however, specific mathematical patterns which are transversal to music gender do work. Consequently, there are people who like Pop music and still enjoy a song classified as Rock music.

There are different fields in which artificial intelligence can improve music processes. In the 50s, Alan Turing was the first to record computer-generated music. This was the start of an interesting area in which AI-created music through reinforced learning. The algorithm learned what characteristics and patterns created a specific music gender and finally composed.

Thanks to this application, artificial intelligence helps companies to create new music or assist composers in their creations.

Another field in which artificial intelligence has great acceptance is editing. The experience of listening to music with a clear and clean sound is, without any doubt, one of the main features music lovers appreciate the most. Although the creative component is still necessary, AI can train to edit their audios properly to those not having that creative skill

When we talk about applied mathematics to music, we must understand what is involved in diverse areas such as tuning, musical notes, chords, harmonies, rhythm, beat, and nomenclature.

The beginning

In 2002, Polyphonic HMI was founded on the premises of using artificial intelligence and apply it to the music industry. Based on the study of the mathematical components of music, the probabilities of success of a song could be determined. Although an artist´s success depends on many factors, this system helped to simplify the task of finding which song could serve as a launch single of a new album and even of a new artist. Thanks to this, record companies, producers and representatives could allocate resources in a more favorable context. Music commercialization has always been an expensive business and a big challenge to finding promising artists and successful songs.

Fifteen years later, the leading technology companies are investing in this technology focusing on different processes of the music industry. Thanks to mathematics, we can see the impact of artificial intelligence on the music we listen to which enrich our musical experience.

 

12 August, 2019 Blog Comments Off on Math and music: Advantages of using artificial intelligence
ordenador-cuantico

Learn about the state of Quantum computing

In the last quarter of 2018, The E.U. launched the Quantum Flagship megaproject with more than 1000 million euros in funding for a 10 – year period and more than 5000 researchers committed to the development of quantum technologies and to bring their capabilities into the market. Europe has finally made it to the race started by China and the U.S. Both countries want to dominate, or at least, to lead the so- called quantum race. The European Union finally rode on the most powerful research and development program of recent years.

This Quantum Flagship will build an European program network based on quantum technologies which will boost an ecosystem to provide the necessary knowledge, technologies and infrastructure for the development of this industry. The research areas are focused on quantum communication (QComm), quantum computing (QComp), quantum simulation (QSim), meteorology and quantum detection (QMS) and basic science (BSci).

Big technological companies doing research on quantum computing are immersed in a commercial race to see which will be the first to run a quantum computer. However, which are the main features of quantum computing and how can we benefit from it?

Current computers, either portable or big computers, are based on basic binary circuits, in other words, a “yes/no” response. Thus, programmers can create tasks to make that computer work with these sentences “if this/then that”. However, sometimes a computer with these characteristics cannot solve efficiently certain problems. For example, in many mathematical optimization problems, current computers take their time to evaluate individually every possible solution until optimal is found.

In contrast, quantum computers have a completely different concept as they do not use the “yes/no”. binary logic. By their nature, their basic circuits can respond to “yes/no/both (in the same proportion)”. With a quantum system, a developer can implement instructions “if this, then that/not-that/both” and here is what makes the difference. They can explore a great volume of data at the same time, offer very efficient solutions to very complex problems such as transport routes optimization.

Until now, quantum computing has not been developed yet, at least the way we are used to (a computer executing tasks), because one of the problems facing quantum computing is building multipurpose quantum computers. Compared to a normal computer, a quantum machine is extremely complex. The first models available, like the IBM´s recent version, are based on superconductive constituents (including Josephson effect devices), which need to work at a temperature below -273 ºC (almost absolute cero) The necessary cryogenics technology of the components to be able to read and handle steadily these qubits are extremely expensive and complex.

Despite the inherent technical difficulties to quantum-mechanic systems, extensive research has been carried out and confirmed promising applications of quantum computing as soon as the necessary hardware is ready. Artificial Intelligence is among them.

8 August, 2019 Blog Comments Off on Learn about the state of Quantum computing
fraude

Supervised and unsupervised learning techniques for fraud detection.

Artificial intelligence is redefining fraud prevention techniques as it allows to obtain information based on experience. This information consists of transaction activities, behavior and trends. Before the use of artificial intelligence, the applied methods were based on rules that helped to analyze historical fraud patterns but could not prevent them. Although these models could identify fraud attempts, they did not provide information of the future.

Nevertheless, the technological sophistication of fraud crimes is higher and more precise and efficient attacks have grown during the last few years

As a result, leading companies dealing with potential fraud crimes, mainly in banking and insurance, must increase monitoring accuracy and acuity of customers potential risk for the institution. Decision-making on accepting or rejecting payments, limiting charges refund and reducing operational and reputational risks is much easier now.

Fraud prevention in the future will depend on a combination of supervised and unsupervised automatic learning techniques. Supervised automatic learning finds patters based on historical events, factors, trends, etc., and unsupervised automatic learning looks for relationships and variable links, a combination of both methodologies would help to prevent fraud in the following:

Detection in real time. The use of artificial intelligence enables the detection of attacks in real time, instead of weeks that usually takes to start receiving reverse requests of charges.

Thwarting the most sophisticated attempts of fraud. Fraud techniques get more and more sophisticated. Artificial intelligence would help to prevent and reduce these attacks.

Scoring in real time. Provide analysts a scoring for a better perspective to set the limits to maximize sales and minimize losses in real time.

Immediate transactions. Fraud prevention systems based on AI enable immediate transaction´s approval provided it is within the reverse charges threshold of the main debit and credit cards.

Reduction of false positives. False positives are reduced thanks to supervised and unsupervised automatic learning, whereas current techniques cannot efficiently detect them. Frequently, when a customer pays an unusual amount of money or from a new location, the card is blocked by the system as it interprets it wrongly as a suspicious activity. With artificial intelligence, it is possible to identify more precisely any change in customers expenditure habits.

Profitability in low margin products. AI has allowed insurance companies to continue their profitable business and attract new customers whose historical purchases are not part of the historical supervised learning of fraud systems

Supervised and unsupervised learning should be complemented with experts´ knowledge aiming at a mixed approach to focus their attention in more suspicious cases detected by AI.

31 July, 2019 Blog Comments Off on Supervised and unsupervised learning techniques for fraud detection.
analitica avanzada seguros

How advanced analytics is a boon for insurance companies.

Advanced analytics is presented as the best way for insurance companies to prevent fraud, improve user´s experience and avoid churn.

23 July, 2019 Blog Comments Off on How advanced analytics is a boon for insurance companies.

APLICACIONES EN INFORMÁTICA AVANZADA, SOCIEDAD LIMITADA. JUNTA GENERAL ORDINARIA Y EXTRAORDINARIA

Doña Regina María Llopis Rivas, Administradora Única de la Compañía APLICACIONES EN INFORMÁTICA AVANZADA, S.L., convoca la Junta General Ordinaria y Extraordinaria de Socios, que se celebrará en el domicilio social de la Compañía, sito en 28014 Madrid, Calle Alcalá, número 61, segunda y tercera planta, el día 26 de junio de 2019, a las 11:00 horas

CONVOCATORIA Y ORDEN DEL DÍA DE LA JUNTA GENERAL Y EXTRAORDINARIA APLICACIONES EN INFORMÁTICA AVANZADA S.L.

9 July, 2019 News Comments Off on APLICACIONES EN INFORMÁTICA AVANZADA, SOCIEDAD LIMITADA. JUNTA GENERAL ORDINARIA Y EXTRAORDINARIA
Computacion-cuantica

Grupo AIA and ICFO, working together for Quantum Computing

Grupo AIA and Instituto de Ciencias Fotónicas (Institute of Photonics), ICFO, have signed a renewable 4-year collaboration agreement to establish the framework for continuous team-up collaboration.With this agreement, Grupo AIA becomes a member of the Corporate Liaison Program of ICFO to strengthen synergies between both organizations aiming at fostering cooperation for achieving common goals. (more…)

23 January, 2019 Sin categoría Comments Off on Grupo AIA and ICFO, working together for Quantum Computing

siRFINDER, algorithms to identify target molecules

Grupo AIA has developed siRFINDER, a Machine Learning based software of siRNA molecules which has been successfully implanted by Sylentis, subsidiary of group Pharmarmar.

This software, co-financed by CDTI, is aimed at strengthening drug development based on RNA interference therapy. This tool developed by different Machine Learning algorithms is designed to generate thousands of specific compounds for disease treatment taking advantage of the ARN Interference technology (ARNi). This biomolecular technology enables silencing genes responsible for producing protein associated to specific diseases. Through this ARN interference technology, it is possible to prevent genes from developing as disease.

In a first phase of the project, the algorithms were performed for the selection of the best candidates in terms of their thermodynamic properties, possible body immune response, possible negative effects on the genes and possible modifications or mutations of the target gene. Consequently, we would know which molecules from all the siRNA molecules are the most effective for specific pathologies.

Reducing the number of molecules for further research and development, the time required is reduced by half, which enables Sylentis to develop innovative drugs in a shorter time and lower cost for the pharmaceutical company.

Among the main benefits for Sylentis is that siRFINDER maintains confidentiality of the targets and flow of information during the whole process, because the algorithms collect, clean and reinterpret the data generated by Sylentis describing the expected metrics the siRNA candidates must meet.

Grupo AIA and Sylentis will continue with the following phase of the siRFINDER Project which consists on developing an autolearning system designed to adapt it to the type of tissue it is addressed to.

15 January, 2019 Sin categoría Comments Off on siRFINDER, algorithms to identify target molecules

RAIN: Risk Analysis of Infrastructure Networks in Response to Extreme Weather

RAIN proyecto

RAIN project ´s objective is to provide operational analysis to identify the impact of extreme weather conditions on the components of critical infrastructure and minimize their effects on the E. U´s infrastructure networks.

RAIN has focused on ground infrastructure, particularly on ancillary infrastructure networks to identify cascading events and associated infrastructure problems. A key aspect of the analysis is the impact of climate change on vulnerable and old infrastructure.

The robustness of existing transport and energy networks to face changing weather conditions has been carefully analyzed. The capacity of this plan to respond beyond the borders has been guaranteed by the multidisciplinary consortium. The Project group has experience in climatology, operational analysis, transport economy, analysis and mitigation, as well as design and evaluation.

The RAIN consortium partners are:

  • THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN, TCD (Ireland).
  • GAVIN AND DOHERTY GEOSOLUTIONS LTD (Gavin and Doherty, Ge Ireland).
  • Istituto di Sociologia Internazionale di Gorizia I.S.I.G ISIG (Italy).
  • HELLENBERG INTERNATIONAL OY HELLENBERG (Finland).
  • TECHNISCHE UNIVERSITEIT DELFT TU (Delft, Netherlands).
  • APLICACIONES EN INFORMATICA AVANZADA SL (Spain).
  • ILMATIETEEN LAITOS ILMATIETEEN LAITOS (Finland).
  • European Severe Storms Laboratory e.V. ESSL (Germany).
  • ZILINSKA UNIVERZITA V ZILINE UNIZA (Slovakia).
  • ROUGHAN & O’DONOVAN LIMITED ROD (Ireland).
  • UNION FENOSA DISTRIBUCION SA UFD (Spain).
  • FREIE UNIVERSITAET BERLIN FUB (Germany).
  • PRAK PETER LEONARD PSJ (Netherlands).
  • COMYOURIS (Belgium).
  • DRAGADOS SA (Spain).

 

GRUPO AIA provided expert knowledge in electrical grids network and telecommunications infrastructure. It designed and developed an extreme weather risk assessment tool with an incident forecasting module of infrastructure network and elements.

The project was developed between 2014 and 2017.

Further information of the project:

slideshare.net (in English)

https://github.com/grupoaia/rain-fp7 (in English)

 

RAIN proyecto

This Project has been funded by the Seventh Program of the European Union for research, technological development and demonstration under grant agreement No. 608166

Further information of the Project click http://rain-project.eu

1 January, 2016 Proyectos No comments yet