The top digital transformation trends in 2023

Servion estimates that by 2025, 90% of all companies will undergo digitalisation. This process is already underway, with businesses investing in digital technologies such as big data, cloud computing, and artificial intelligence at a rapid pace.

This shift is far-reaching, integrating emerging technologies across manufacturing, automotive, healthcare, retail, finance, logistics and other sectors.

As businesses strive to remain agile and competitive, they must continually monitor the latest trends in the market and implement solutions that will help them run more efficiently.

To help you stay on top of the latest shifts in corporate and consumer technology, we’ve prepared a list of the most significant digital transformation trends projected to change our lives in 2023.

The top transformation trends changing the world

Several factors are driving this transformation. As the number of people connected to the internet through social media and other channels grows, the corporate world faces an increased need for transparency and accountability. Fortunately, organisations can meet this demand with the rise of powerful and affordable digital technologies.

BEST PRACTICES

With these innovative tools, organisations can better meet the needs of their clients and adhere to best practices such as leveraging data, choosing the right technologies, identifying and implementing change systematically, motivating and engaging employees, and clearly defining their business case.

Artificial intelligence (AI) and machine learning (ML)

According to Tractica by 2025, companies of all sizes will invest €116bn in AI. With AI, organisations can generate predictions based on structured and unstructured data using machine learning and complex algorithms.

AI-based tools allow businesses to recognise, produce, and improve the following:

• transformation trends
• decision-making
• accurate forecasts
• efficiency of operations

ML is a form of artificial intelligence that allows computers to learn from data and improve their performance over time. As ML advances, it’ll become more widely used in various industries. For instance, it can improve customer service by helping agents understand customer queries better and can also be used to improve fraud detection and prevention, among other things.

ML technology has the potential to radically change the way businesses operate and provide a competitive advantage.
Cybersecurity and Data Protection

A computer’s cybersecurity refers to the protection it provides against unauthorised access by a hacker. Information security, or cyber security, refers to the measures taken to protect it from unauthorised access.

DID YOU KNOW?

As of January 2022, there were 4.95 billion internet users worldwide — 62.5% of the world’s population.

With so many customers currently online, organisations must maintain robust cybersecurity policies to keep secure, critical, or sensitive data from unauthorised access and prevent it from falling into the wrong hands. Failing to do so comes at a high price.

Organisations including Amazon and Meta have already felt the wrath of regulators for failing to comply with regional security standards. While smaller organisations will not see fines as large, their size will be just as significant.

The need for increased cybersecurity stems from the following cybersecurity threats:

• social engineering
• ransomware attacks
• mobile device vulnerabilities
• IoT connections
• third party exposure
• configuration mistakes
• cyber hygiene issues
• cloud susceptibilities

As a result of the pandemic, organisations hastily adopted digital transformation trends, increasing their susceptibility and cybersecurity risks, resulting in an unprecedented number of new cyber-attacks and security lapses.

Companies now understand the critical importance of adopting rigorous cybersecurity standards

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