There has been significant volatility in recent times, including supply chain disruptions, historically high inflation, geopolitical unrest, an unprecedented global pandemic, and the following lockdowns.

For many corporate executives and entrepreneurs, navigating this environment has never been more difficult. Fortunately, innovative technological solutions are being developed to address these issues to help visionary business leaders help their organizations thrive in challenging times.

The most important step you can take to ensure short-term success for your business is to be aware of the top tech developments for 2023. After all, you must prepare your company for the latest technology advancements as the year begins. !

 

Top 9 Strategic Technology Trends For 2023

   1. Digital Immune System

    2. Applied Observability

   3. AI Trust, Risk and Security Management (AI TRISM)

    4. Industry Cloud Platforms

    5. Platform Engineering

    6. Wireless-Value Realization

    7. Superapps

    8. Adaptive AI 

    9. Metaverse 

1. Digital Immune System: 

A digital immune system refers to a set of technologies and practices designed to protect digital systems, networks, and infrastructure from various forms of cyber threats, such as malware, viruses, and hacking attempts. It involves the use of advanced security measures, including threat intelligence, machine learning algorithms, and behavioural analysis, to detect and respond to potential attacks in real-time.

 

2. Applied Observability: 

Applied observability is a concept related to monitoring and understanding complex systems and applications in real time. It involves collecting and analyzing data from various sources, such as logs, metrics, and traces, to gain insights into the behaviour and performance of a system. By applying observability techniques, organizations can identify and troubleshoot issues quickly, optimize system performance, and improve overall reliability.

 

3. AI Trust, Risk, and Security Management (AI TRISM): 

AI TRISM refers to the practice of managing trust, risk, and security concerns related to the deployment and use of artificial intelligence (AI) technologies. As AI becomes more prevalent in various domains, it is important to address ethical considerations, privacy issues, and potential risks associated with AI systems. AI TRISM involves implementing safeguards, transparency, and accountability mechanisms to ensure the responsible and secure use of AI.

 

4. Industry Cloud Platforms: 

Industry cloud platforms are specialized cloud computing platforms tailored to meet the specific needs and requirements of particular industries. These platforms provide industry-specific solutions, applications, and services, often leveraging data analytics, AI, and domain expertise. By focusing on industry-specific challenges, such as healthcare, finance, or manufacturing, industry cloud platforms offer targeted solutions to streamline processes, drive innovation, and enhance collaboration within a particular sector.

 

5.  Platform Engineering:

 Platform engineering involves the design, development, and maintenance of software platforms that enable the creation and delivery of various applications and services. These platforms provide a foundation for building and integrating software components, frameworks, and tools, enabling developers to focus on building specific applications rather than reinventing the underlying infrastructure. Platform engineering aims to create scalable, flexible, and reliable platforms that can support the development of diverse applications across different domains.

 

6. Wireless-Value Realization:

 Wireless-value realization refers to the process of leveraging wireless technologies, such as wireless communication networks, IoT devices, and mobile applications, to unlock value and create new business opportunities. It involves utilizing wireless connectivity to enable data exchange, automation, and real-time decision-making in various industries and sectors. Wireless-value realization can lead to increased efficiency, improved customer experiences, and innovative services in areas such as smart cities, healthcare, logistics, and manufacturing.

 

7. Superapps: 

Superapps are mobile applications that offer a wide range of integrated services and functionalities within a single platform. Unlike traditional apps that focus on specific functions, super apps provide users with access to multiple services, such as messaging, social networking, e-commerce, financial transactions, and more. Superapps often leverage AI, personalization, and data analytics to deliver tailored experiences and enhance user engagement.

 

8. Adaptive AI: 

Adaptive AI refers to artificial intelligence systems that can learn and adjust their behaviour based on changing circumstances or new information. These AI systems are designed to continuously analyze and adapt to evolving data, user interactions, and environmental conditions. Adaptive AI algorithms can improve their performance over time by dynamically adjusting their models, predictions, or actions, enabling them to handle complex and dynamic scenarios more effectively.

 

9. Metaverse: 

The metaverse is a concept that describes a virtual shared space, a collective virtual reality where users can interact with each other and digital objects in a simulated environment. It is envisioned as a fully immersive, multi-dimensional digital universe that goes beyond individual virtual reality experiences. The metaverse concept encompasses various technologies, including virtual reality, augmented reality, blockchain, and AI, and has implications for social interactions, entertainment,