transformación digital

The main technological trends for 2023

The expectations of many business leaders for this year were focused on complete growth after the pandemic. However, currently, the majority perceives the threat of a recession and is forced to manage the effects of persistent inflation, in addition to facing a series of crises in areas such as the supply chain, energy supply, and digital skills or technological trends.

El informe de Gartner señala que aunque el futuro es incierto, tu empresa debe identificar cuáles son sus resultados e iniciativas estratégicas, tendencias tecnológicas y comprometerse con ellas.

Is your goal to save costs? Improve margins? Grow? Shift towards a reinvented business model? Whatever it may be, technology plays a fundamental role, but it is necessary to understand when and where technological trends can have an impact. To assist you in this aspect, Gartner annually develops a list of key technological trends that business leaders and technology experts should leverage in the next 36 months, regardless of specific business needs. Gartner elabora anualmente una lista de tendencias tecnológicas clave que los líderes empresariales y los expertos en tecnología deberían aprovechar en los próximos 36 meses, independientemente de las necesidades empresariales específicas.

Digital transformation, the main challenge

Digital transformation has become an urgent necessity in today's business landscape. Companies are aware that they must adapt to emerging technological trends if they want to stay competitive and make the most of the opportunities offered by the digital world.

In this context, the expectations of business leaders for this year are focused on embracing digital transformation in all aspects of their organization. They understand that growth and survival depend on their ability to adapt to a constantly evolving business environment.

Digital transformation involves the integration of disruptive technologies such as artificial intelligence, big data, cloud computing, the Internet of Things, and automation. These technological trends are revolutionizing how companies operate, interact with their customers, and make strategic decisions.

Companies that dive into digital transformation find numerous opportunities and benefits. For example, implementing cloud-based solutions allows them to access scalable and flexible resources, thereby reducing costs and improving operational efficiency. The application of artificial intelligence and data analysis provides valuable information for making more informed decisions and personalizing the customer experience.

However, digital transformation also presents challenges. Companies must overcome obstacles such as resistance to change, the digital skills gap, and information security. It is crucial for business leaders to develop a clear strategic vision and establish a solid roadmap to guide the transformation process.

The key strategic technological trends for 2023

According to the classification depending on the company's strategic decisions:

Optimization: Optimizing information technology systems to be more reliable, improve data-driven decision-making, and preserve the value and integrity of AI systems in production.

Related trends:

  • Digital immune system
  • Applied observability
  • Artificial Intelligence (AI)

Scalability: Accelerating vertical offerings, increasing the pace of product delivery, and facilitating connectivity anywhere.

Related trends:

  • Industrial cloud platforms
  • Platform engineering
  • Wireless value attainment

Discovery: Enabling business model change by reinventing employee and customer interactions and accelerating strategies to leverage new virtual markets.

Related trends:

  • Superapps
  • Adaptive AI
  • Metaverse

Business value of technological trends.

  • AI Trust, Risk, and Security Management:
    • AI requires new ways to manage trust, risk, and security, which cannot be achieved with conventional controls. The new capabilities of AI TRiSM ensure reliability, trust, security, and privacy of models.
  • Wireless value attainment
    • The integration of multiple wireless technologies will provide a more cost-effective, reliable, and scalable technical foundation that reduces capital expenditure.
  • Industrial cloud platforms
    • Industrial clouds create value for organizations by incorporating traditionally separately acquired cloud services into pre-integrated but customizable (composable) and sector-relevant solutions. In this regard, they can improve organizational agility, accelerate innovation, and reduce time to value.
  • Digital immune system
    • A Digital Immune System (DIS) amalgamates the practices and technologies of observability, AI-augmented testing, chaos engineering, self-repair, site reliability engineering, and software supply chain security to enhance the resilience of products, services, and systems. How does a Digital Immune System optimize resilience? A DIS provides a framework aimed at equipping your organization to mitigate potential risks and leverages errors as learning opportunities in order to create a superior customer and user experience that is resilient in the face of its own failures.
  • Platform engineering
    • To assist developers, data scientists, and end users and to alleviate friction in their valuable work, forward-thinking companies have begun creating operational platforms that bridge the gap between users and the supporting services they rely on.
  • Superapps
    • A superapp is an application that provides end users (such as customers, partners, or employees) with a set of core functionalities, along with access to independently created mini-applications. The superapp is designed as a platform to ensure seamless and personalized experiences within the application.
  • Adaptive AI
    • The value of harnessing artificial intelligence lies in the ability to rapidly develop, implement, adapt, and maintain AI in various business environments. Given the complexity in terms of engineering and the demand for faster time-to-market, it is crucial to develop more flexible channels of AI engineering or build AI models capable of self-adaptation during production.
  • Applied observability
    • Applied observability is the practical utilization of observable data, following a highly orchestrated and integrated approach among the company's departments, applications, and infrastructure and operations teams (I&O). Its aim is to enable shorter latency between action and response, as well as proactive decision-making and planning within the company.
  • Metaverse
    • The metaverse is a combinatorial innovation formed by multiple themes and technological trends. It is anticipated that each of these trends will offer new opportunities and challenges to organizations across a wide spectrum of sectors and use cases.

References

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