Among the most important reports and predictions of the year are trends findings by the IT research company Gartner Inc., which through its analysts presented their findings during the Gartner / Xpo Americas IT Symposium, which will take place out virtually until Thursday.

"Con los directores ejecutivos y las juntas directivas esforzándose por encontrar crecimiento a través de conexiones digitales directas con los clientes, las prioridades de los directores de TI deben reflejar los mismos imperativos comerciales, que se encuentran en cada una de las principales tendencias tecnológicas estratégicas de Gartner para 2022", dijo David Groombridge, vicepresidente de investigación de Gartner.

The main strategic technology trends for 2022 are:

Generative Artificial Intelligence (AI): One of the most visible and powerful AI techniques to hit the market is generative AI, machine learning methods that learn about content or objects from your data and use it to generate new, completely original and realistic artifacts.

Generative AI can be used for a variety of activities, such as software code creation, drug development facilitation, and targeted marketing, but it is also misused for scams, fraud, political disinformation, forged identities, and more. By 2025, Gartner expects generative AI to account for 10% of all data produced, up from less than 1% today.

Data interconnection: The number of data and application silos has increased in the last decade, while the number of qualified personnel in data and analytics (D&A) teams has remained constant or even decreased. Data structures, flexible and resilient data integration between platforms and business users, have emerged to simplify an organization's data integration infrastructure and create a scalable architecture that reduces the technical debt seen in most D&A teams due to growing integration challenges.

The real value of a data fabric is its ability to dynamically improve data usage with its built-in analytics, reducing data management efforts by up to 70% and accelerating time to value.

Distributed company: With the rise of remote and hybrid work patterns, traditional office-centric organizations are evolving into distributed enterprises comprised of geographically dispersed workers.

"Esto requiere que los CIO realicen cambios técnicos y de servicio importantes para ofrecer experiencias de trabajo sin fricciones, pero hay otra cara de esta moneda: El impacto en los modelos de negocio", Groombridge said. "Para cada organización, desde el comercio minorista hasta la educación, su modelo de entrega debe reconfigurarse para abarcar los servicios distribuidos. El mundo no creía que se probarían ropa en un camerino digital hace dos años". Gartner expects that by 2023, 75% of organizations exploiting distributed business benefits will achieve revenue growth 25% faster than competitors.

Cloud Native Platforms (CNP): Para ofrecer realmente capacidades digitales en cualquier lugar y en todas partes, las empresas deben alejarse de las migraciones familiares de "levantar y cambiar" hacia las CNP. Los CNP utilizan las capacidades básicas de la computación en la nube para proporcionar capacidades escalables y elásticas relacionadas con TI "como servicio" a los creadores de tecnología que utilizan tecnologías de Internet, ofreciendo un tiempo de obtención de valor más rápido y reduciendo los costos.

For this reason, Gartner predicts that cloud-native platforms will underpin more than 95% of new digital initiatives by 2025, up from less than 40% in 2021.

Autonomous systems: As companies grow, traditional programming or simple automation will not scale. Autonomous systems are self-managing physical or software systems that learn from their environments. Unlike automated or even autonomous systems, autonomous systems can dynamically modify their own algorithms without an external software update, allowing them to quickly adapt to new conditions in the field, just like humans.

"El comportamiento autónomo ya se ha dado a conocer a través de implementaciones recientes en entornos de seguridad complejos, pero a largo plazo, se volverá común en sistemas físicos como robots, drones, máquinas de fabricación y espacios inteligentes", Groombridge said.

Decision intelligence (DI): An organization's decision-making competence can be a significant source of competitive advantage, but it is becoming more demanding.

Decision intelligence is a practical discipline used to improve decision making by explicitly understanding and engineering how decisions are made, and the results evaluated, managed, and enhanced by feedback. Gartner predicts that in the next two years, one-third of large organizations will use decision intelligence for structured decision-making to improve competitive advantage.

Composable applications: In the ever-changing business context, the demand for business adaptability drives organizations toward a technology architecture that supports fast, secure, and efficient application change. The composable application architecture empowers that adaptability, and those who have adopted a composable approach will outperform the competition by 80% in the speed of new feature deployment.

"En tiempos turbulentos, los principios empresariales componibles ayudan a las organizaciones a dominar el cambio acelerado que es esencial para la resiliencia y el crecimiento empresarial. Sin ella, las organizaciones modernas corren el riesgo de perder su impulso en el mercado y la lealtad de los clientes", Groombridge said.

Hyperautomation: Hyper-automation enables accelerated growth and business resilience by rapidly identifying, investigating, and automating as many processes as possible.

"La investigación de Gartner muestra que los equipos de hiperautomatización de alto rendimiento se centran en tres prioridades clave: Mejorar la calidad del trabajo, acelerar los procesos comerciales y mejorar la agilidad de la toma de decisiones", Groombridge said. "Los tecnólogos empresariales también apoyaron un promedio de 4.2 iniciativas de automatización en el último año".

Privacy Enhance Computing (PEC): In addition to dealing with mature international privacy and data protection legislation, CIOs must avoid any loss of customer trust resulting from privacy incidents. Therefore, Gartner expects 60% of large organizations to use one or more computing techniques that improve privacy by 2025.

PEC techniques, which protect personal and confidential information at the data, software or hardware level, share, group and analyze data securely without compromising confidentiality or privacy. There are current use cases in many verticals, as well as with public cloud infrastructures (for example, trusted execution environments).

Cybersecurity mesh: CSMA helps provide an integrated security framework and posture to protect all assets, regardless of location. By 2024, organizations that adopt a CSMA to integrate security tools to work as a cooperative ecosystem will reduce the financial impact of individual security incidents by an average of 90%.

"Los datos están encadenados en muchas de las tendencias de este año, pero solo son útiles si las empresas pueden confiar en ellos", dijo Groombridge. "Hoy en día, los activos y los usuarios pueden estar en cualquier lugar, lo que significa que el perímetro de seguridad tradicional se ha ido. Esto requiere una arquitectura de malla de ciberseguridad (CSMA)".

AI engineering: IT leaders struggle to integrate AI within applications, wasting time and money on AI projects that never go into production, or struggling to retain the value of AI solutions once launched. AI engineering is an integrated approach to putting AI models to work.

"Para los equipos de fusión que trabajan en IA, el verdadero diferenciador para sus organizaciones radicará en su capacidad para mejorar continuamente el valor a través de un rápido cambio de IA", dijo Groombridge. "Para 2025, el 10% de las empresas que establecen las mejores prácticas de ingeniería de IA generarán al menos tres veces más valor de sus esfuerzos de IA que el 90% de las empresas que no lo hacen".

Total experience (TX): TX is a business strategy that combines the disciplines of Customer Experience (CX), Employee Experience (EX), User Experience (UX), and Multi-Experience (MX). TX's goal is to drive greater customer and employee trust, satisfaction, loyalty, and advocacy. Organizations will increase revenue and profits by achieving adaptive and resilient TX business results.