4 core technologies of digital transformation - Emptor

As a driver of digital change, technology helps accelerate companies that invest in developing their business models and value propositions. We’ll tell you more about them below:

1. Social Media

With the birth of social media, a new phenomenon emerged in which companies began to interact in real-time with users. Brands began to share various types of content that created engagement and involvement with their audiences. The successes of sharing a more human side of brands and sharing key moments in the creation of the products or services that their users appreciated.

Brands like Gatorade and Oreo created creative strategies that allowed them to show moments with their consumers, and that creativity paid off significantly. Social media allows real-time interactions and is a source of constant feedback in which users express their views, discontent, and congratulations.

This is where the era of social listening is born, which allows you to have a barometer of your users’ opinions. Promoters and detractors are part of the communities that express their opinions and feelings in a positive, negative, and neutral way. Tools like brand24 work perfectly to measure the sentiment and mentions of your brand and/or relevant keywords for your business.

Good social listening allows you to implement a Net Promoter Score (NPS) strategy that helps you leverage your brand and get closer to your promoters. NPS is calculated by taking the percentage of promoters and subtracting the percentage of detractors:

• On a scale of 0 to 6: users who rate your product or service are classified as detractors.
• From 7 to 8: they are classified as passive.
• From 9 to 10: they are classified as promoters.

How to improve NPS or Net Promoter Score?

• For users from 0 to 6: Understand the reasons that lead them to be detractors.
• For passives from 7 to 8: Give them reasons to promote the brand.
• For those from 9 to 10: Keep them so they continue to speak well of the company and incentivize them with loyalty plans so they promote the products or services.

2. Internet of Things

In the broadest sense, it refers to any object or “thing” that can be wirelessly connected to the Internet. Today, IoT generally refers to things that are connected and equipped with sensors and other technologies that allow them to transmit and receive data, in order to inform users or automate an action. Historically, connectivity has been primarily achieved through Wi-Fi, while 5G and other network platforms offer the promise of managing large data sets quickly and reliably almost anywhere.

This definition of the Internet of Things sets the stage for how we can expect this technology to progress in the future. As more and more Internet-enabled devices are deployed, they will be able to communicate with each other and share data. This will create opportunities for new levels of efficiency and automation in our homes, workplaces, and beyond. We are already seeing the Internet of Things in action with smart home devices like thermostats and security systems, connected cars, industrial applications, and much more.

The possibilities are endless, but there are also some challenges that need to be addressed before the Internet of Things can reach its full potential. A major challenge is ensuring that all these devices are protected against cyber attacks. Another is ensuring that the data collected by Internet-enabled things is used responsibly and respects our privacy.

As the Internet of Things continues to evolve, it is important to stay informed about the latest developments. This technology has the potential to change our lives in powerful and unexpected ways, so we must make sure we are prepared for it.

3. Big Data

Big Data is characterized by three main dimensions: volume, variety, and velocity. In terms of volume, it is an enormous amount of data that comes from diverse sources, such as social networks, mobile devices, or sensors. Variety refers to different data sources and the wide range of formats in which they can be presented. Velocity is the accelerated pace at which these data are generated and circulated.

To get the most out of Big Data, it is necessary to resort to advanced analytics. This is a discipline that allows extracting valuable insights from data, using techniques such as machine learning or predictive analysis. In this way, insights can be obtained that help make decisions from data lakes.

A data lake is a set of unorganized data without a structure or filter, it is a set of raw data, while a data warehouse is a repository of structured and filtered data that has been processed for a specific purpose and application. The processing of data for practical application in the user experience benefits your product or service.

4. Artificial Intelligence

Artificial Intelligence (AI) is a term that has been coined for decades and whose meaning has changed over time. According to the Royal Spanish Academy, artificial intelligence is the “set of technologies that allow machines to perform intelligent activities”, that is, those that imitate or exceed human cognitive abilities. Although this definition can give a general idea, the truth is that this term encompasses a large number of technologies and subfields, so it is now more complicated to talk about artificial intelligence in general.

Among the main technologies and subfields of artificial intelligence we can mention: robotics, machine learning, natural language intelligence, and computer vision. Each area has its own applications and objectives, but they all have in common the use of algorithms to perform tasks that require intelligence.

Artificial intelligence is a field of computer science dedicated to the study and development of intelligent systems, that is, those that can imitate the intelligent behavior of human beings. This imitation can be partial or total, depending on the tasks that the intelligent system is designed to perform. For example, a chatbot is a type of artificial intelligence capable of imitating human behavior in a conversation, but it cannot perform other intelligent activities, such as driving a car.

The ultimate goal of artificial intelligence is to create systems capable of performing intelligent tasks autonomously, that is, systems that are capable of making decisions on their own without human intervention. This is something that has not yet been fully achieved, but there are already some autonomous intelligent systems, such as domestic robots or autonomous cars.

Artificial intelligence is a constantly evolving field of computer science, and new applications for this technology are emerging every day. Emptor, through artificial intelligence, helps you streamline your hiring processes, identity verification, and background checks. We’re here to help your business!