Digital transformation has supposed a great change in the way of understanding and functioning in all aspects of daily life. In this way, this technological revolution bring us innumerable benefits and facilities that business sector has been able to exploit. In this case, we are going to talk about artificial intelligence (AI), its success in business and about main technology trends of this year.

On this matter, you should know that its integration into companies covers different applications in business areas. From customer service through chatbots to financial advice to clients to make investment and saving decisions. Because of its diverse and practical functions many sectors are using it; automotive, logistics, finance and health sector. So, we want to show you the 9 AI technologies that come stomping.

9 Artificial Intelligence (AI) Trends most commonly used

1. 1. 1. Natural language generation

         It is an AI subfield which is based in creating text as of data obtained. This natural language helps machines to communicate ideas accurately.

      2. Speech recognition or voice response

         We talk about similar systems to Siri, which transforms human language into useful formats for computers. It will sound you familiar because of we are using it day by day.

      3. Visual agents

         Visual agents are an undoubted computational intelligence stars. This programs are able to interact with humans. The most common example are chatbots. We find chatbots in innumerable web pages, providing information and customer services services.

      4. Machine Learning

         We cannot talk about AI without mentioning these platforms whose objective is the development that allows computers to learn through algorithms, APIs, development and training tools and real-time big data analysis. Nowadays, it is being used for warn of disease risk factors since they detect more patterns than a human mind.

      5. Optimized hardware’s

         Another AI trend, which allow to create graphics processing units and devices designed for task execution oriented to computational intelligence.

      6. Smart machines

         They insert standards and logic that help with making decisions automatically, like what we discussed earlier in finance field, where robotadvisors are an alternative for investment and saving advices.

      7. Deep learning platforms

         They are a circuit neuronal artificial platforms that imitate human brain functions.

      8. Biometrics

         In AI trend lists, biometrics cannot be lacked, which identify, measure and analyze the physical characteristics and people behaviors. They have an extended use to increase security levels with fingerprint systems, voice or even iris verification.

      9. Robotic process optimization

         Our last sub-field, it includes scripts and others methods to imitate human tasks, text analytics and NLP in an automated way, facilitating the natural language understanding.

You already know the 9 artificial intelligence technologies trends that every day are most essential for you company growth. From customer service through chatbots, quality control or failure inspection. It is a revolution where many processes will be carried out automatically with intelligent machines, leaving the path free to focus us in jobs that require more human skills.

In ECB Engineering firm we are specialized in the search and hiring of professionals IT expert with experience in fields such us artificial intelligence (AI), Machine Learning, Digital Transformation or Virtual Reality. We know the difficulties to find this type of profiles and act as allies of our client companies to find the best candidates and finalize the selection process with the desired success.

If you are a candidate, do not miss our technology (IT) job offers.

La entrada 9 Artificial Intelligence (AI) Trends most commonly used se publicó primero en Engineering and Technology (IT) Consulting.

Two decades ago, it was thought that development would be focused outside the earth planet, on moon trips or mars life. When we were young, we played with Space Invaders on that console which it was the most futuristic and we dreamed with conquering the outer space.

The protagonist of Digital history development would be one among many Koopas until telephony sector was fixed on it. The telephony was one of the first sector in recognize the digital development opportunity, arriving to invest important economic sums that pushed the digital development of new technologies and the emergence of new careers.

Little by little, the rest of sectors has been following the telephony example, entering to digital revolution.

The last big TI investment that we found it was in Banking sector, one of the most powerful in economic terms. In this way, banks have been the most reluctant to join in the digital era. However, its turn has arrives and he has done with one of the biggest investments so far, relaunching the sector.

Business have realized how beneficial it can be for them to have information about their customers, leads and prospects. Until recently, business had limited data entrances. The opportunities for real interaction between customers to companies it was few. So much so that, they didn´t know their preferences, main interests, buying habits, needs or whims.

Nowadays, clicking in a screen zone inside a web site is a relevant data for business since, because of this, they will know where to place a banner or an offer, getting bigger profits. In this line, there are many automatic data which we contribute to business and that they use to analyze their services and make improvements. This is Big Data, unmanageable information amounts that must be captured, segmented, calculated and analyzed to obtain tangible result. /strong>, For instance, what color use for „add to cart“ button.

As a consequence of this information, it is developing uncountable apps being able to understanding, processing and converting these data into habits and percentages that help companies to generate improvements in theirs client contact points. . This is the reason why most of the investment in IT its focused on Business Intelligence projects, calculation and statistics. This market bet for information analysis has caused that Big Data and Business Intelligence positions be the most demanded..

Undoubtedly, IT positions have changed since they receive billions of data. By this way, IT sector has noticed the new profiles apparition in last 10 years.

Currently, we can highlight new demanding positions such us BI-Big Data Developers, Data Scientist , who program, analyze and forecast the market’s behaviors; front end developers who are an essential part for any technology development; or Scrum Master, specialists in scrum methodology, one of the most used in a project organization tasks. DevOps figure is one of the most recently case, totally unknown until a couple of years ago.

Eventually, main market areas and large corporations are being aware of the enormous potential of new technologies. In this line, TI sector continues to progress with new profiles every year. Sometimes can appear that new technologies are evolving at a speed that we cannot follow. Although it is not outer space, without go out far away to our planet, we are being the main protagonist of Space Invader in our struggle to advance in digital age.

La entrada Big data & Business Intelligence: The future is already here se publicó primero en Engineering and Technology (IT) Consulting.