emerging technologies to accelerate digital transformation

In our daily life, doesn't it happen to you that when you are writing a WhatsApp or an email and you start typing a word, it is suddenly completed? Behind this self-writing is artificial intelligence, which has entered our lives optimizing and improving many of our daily tasks. Years ago, you already imagined what could happen with emerging technologies , like this one, but it was not so clear how they would be able to generate value for companies and to what extent they would impact their digital transformation . In recent years, different technologies have evolved following different paths and objectives. Now, once mature, they can converge, facilitating together the improvement of the customer experience and the results of the companies. At Enzyme we have held a recent webinar  detailing the main technologies that are driving the digital transformation of companies the most.

Technological ecosystem

Among the many technological advances that we are experiencing, Gartner includes technologies that are possible but that have not yet generated business models such as Quantum Computing. At the same time, it shows us emerging technologies that are at full capacity. 


On the one hand, we have interfaces to capture information such as IOT or artificial vision. On the other, systems that facilitate or replace business processes such as the cloud or the blockchain . And also technologies that are revolutionizing productivity such as artificial intelligence or Edge Computing.

What are the emerging technologies that are beginning to generate value for companies?

From the point of view of implementation and the ability to generate business, we highlight five major technologies:

1.            Cloud Computing . It is the possibility of relocating the processing centers of the companies, taking these to "the cloud". This gives themscalability,availabilityand much greatersecurity.

2.            Big Data . Every time we are able to manage a greatervolumeof information and at a higherspeed, no matter howwide and dispersed itsvariability is, making it easier for any business challenge to add value from the data.

3.            Collaborative artificial intelligence that in addition to facilitatingautomationand accelerating businesslearningby exploring data and generatingpatternsallows information to be shared, for example, between competitors adding value to all of them.

4.            Blockchain ,which saves us the need for centralized and trusted entities, since the blockchain guarantees in adecentralizedanddistributed waytheimmutabilityof the information it stores and custody.

5.            IOT . Equipment is being developed to capture information that combinesconnectivityandsensitivity, as analog sensors have done until now, withintelligence, giving them the ability to make decisions based on their environment.

Emerging technology brought to companies

The combination of all these technologies is opening up many possibilities to generate new business opportunities. An example is how in the oil industry or, in the face of security alerts such as the eruption of the Cumbre Vieja volcano , drones are being incorporated with sensors that allow them to stay away from heat sources that could damage them. This may also be the case in which there are multiple sensors located in remote or difficult-to-access areas for which, through artificial intelligence, alarms can be triggered to provide direct assistance at those points where a disturbance can be anticipated. incidence.

Another use case is Edge computing where the sensors have built-in processors that allow the execution of artificial intelligence algorithms. The advantage is that they can act connected to the cloud or run their algorithms in a decentralized way. This facilitates its operation, for example, on board an airplane, or by connecting multiple devices, for example the fleet of a company or all the devices of the same manufacturer.

Blockchain is creating value in the supply chain to the IOT combined with artificial intelligence. These systems make it possible to autonomously identify the origin, transit and storage conditions that a specific product has experienced from the generation of its raw materials until it is sold. From this level of detail, you can optimize processes, sales or customer satisfaction.

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