Hyper-automation, AI security, distributed cloud and autonomous things will drive definitive change as well as opportunities to make organizations more competitive along with the creation of new business models.
5G network, drones, autonomous vehicles and Smart Cities
The 5G network is becoming a reality, with its low latency and exponentially faster speeds, 5G will offer the biggest wave of innovation since the advent of the Internet.
It will contribute billions to the global economy with new products, services and even new business models and Industry 4.0.
An unprecedented impact on our society, from the explosion of different form factors in devices to the changes in the way we view and receive data.
Widespread use of IoT devices in smart cities, autonomous vehicles and drones combined with network 5G will enrich our lives and will require a next generation of infrastructure.
Advanced data analytics and Edge Computing
With advanced data analytics, companies can autonomously or semi-autonomously examine data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover more in-depth information, make predictions or generate hyper-personalized recommendations and offers to your customers.
Advanced analytical techniques include those such as data mining / text mining, machine learning, patterns, forecasting, visualization, semantic analysis, sentiment analysis, sentiment analysis, network and cluster analysis, multivariate statistics, simulation, complex event processing and neural networks.
In addition, with the technology Edge Computing it will be possible to acquire a much broader and more evolved view of the data, enabling the companies understand their customers on a deeper level by delivering content much closer to the user., to predict future results, reduce risks and much more.
Conversational Artificial Intelligence and Machine Learning
Artificial Intelligence continues to be a trend to watch because we are already experiencing its impact on how we live, work and play.
AI can perform tasks faster and more accurately, mimicking human intelligence and performing tasks such as image, speech or pattern recognition and decision making such as: assessing business risk, predicting maintenance, improving energy efficiency and safety performance.
Technological advances in integrated circuits, microchips and SoC (Systems On Chips) will facilitate improvement in listening adequately and following complex conversations, and even reach understand emotions.
Jobs will be created in development, programming, testing, support and maintenance, to name a few; Artificial Intelligence Architect will be one of those jobs rivaling the Data Scientist.
Machine learning by means of Machine Learning is rapidly being implemented in all types of industries, creating a high demand for qualified professionals.
RPA Automation
Just like AI and Machine Learning, the robotic process automation or RPA, is another technology that is automating jobs.
Through the use of RPA software it is possible to automate business tasks such as application interpretation, transaction processing, data handling and even repetitive processes such as responding to e-mails.
IT professionals must looking to the future and understand new technological trends, RPA offers many career opportunities, The profiles include: developers, project managers, business analysts, solution architects and consultants.
XaaS, UX / CX and privacy
A wide range of digital services, products and tools are ordered over the Internet and delivered to users on demand, The company's services, rather than being provided through local channels within companies or specialized organizations.
To describe this phenomenon we will use a special term: Everything as a Service (XaaS).
It is a conceptual model integrating all possible services and products that can be provided through networks.
The best known XaaS are SaaS, and IaaS, however, more and more types are emerging:
- HaaS, hardware as a service.
- SaaS, storage as a service.
- DBaaS, database as a service.
- DRaaS, disaster recovery as a service.
- CaaS, communications as a service.
- NaaS, network as a service.
For the time being, there is no complete implementation of this model and it presents diverse usability, user experience and digital privacy challenges, However, betting on XaaS is an ideal benchmark and one of the main strategies for major global Cloud companies such as Microsoft and Google.
Zemsania Global Group is a specialist in ICT & Digital services and solutions with more than 15 years of experience accompanying clients internationally, offering services, solutions and technological projects of digital transformation.