In a VUCA world, things change, and they change fast

Volatility, Uncertainty, Complexity and Ambiguity have become constants. In today’s ever-changing environment the fast ones prevail as technology continues to race ahead. All industries need to accelerate their Digital Business Transformation journey as their businesses are becoming increasingly dependent on the capacity to adapt to new technologies and circumstances.

 

Room is being made for big data, AI, IOT & cloud computing

Disruptive technologies – including analytics, the Internet of Things, artificial intelligence, and machine learning—have tremendous potential to fundamentally change how companies operate.

Organizations will need to undertake end-to-end transformations to harness these technologies and capture the next level of value. Technology acts as a catalyst in this journey by supporting and accelerating change throughout the organisation.

 

The challenge of the digital transformation

This is an indicator of an even wider revolution, much more holistic than the industrial one. People and culture are at the centre while technology drives new ways of working, models of innovation, data monetisation and instant gratification.

 

Business models get adapted and re-invented more often than ever

Enabled by digital capabilities, customers are raising the bar as their expectations go beyond the so-called “customer experience” focusing on loyalty and reward. The default business models will get constantly evolved, with particular emphasis on synergies and collaborations that business and digital ecosystems only can bring.

 

Would you like to discuss the challenges and solutions with us? Contact us.

News from ERNI

In our newsroom, you find all our articles, blogs and series entries in one place.

  • 22.11.2023.
    Newsroom

    Recognising trends: An insight into regression analysis

    Data plays a very important role in every area of a company. When it comes to data, a distinction is made primarily between operational data and dispositive data. Operational data play an important role, especially in day-to-day business. However, they are not nearly as relevant as dispositive data. This is because these data are collected over a longer period of time and provide an initial insight into the history or the past.

  • 08.11.2023.
    Newsroom

    Why do we need digital transformation for medical devices?

    For hospitals, it is not up for discussion as to whether they want to digitalise. The increasing age of the population in western countries and the progressive shortage of medical professionals mean that without digitalisation, the healthcare system will not be able to provide the quality that patients want in the future.

  • 25.10.2023.
    Newsroom

    Mastering the challenges of mobile app testing: Strategies for efficient quality assurance

    Discover the unique challenges faced in testing mobile applications and learn how to overcome them effectively. From selecting suitable devices and operating systems to leveraging cloud-based test platforms, test automation and emulators, this article provides seven essential strategies for optimising your mobile app testing process.

  • 11.10.2023.
    Newsroom

    Incorporating classical requirements engineering methods in agile software development for a laboratory automation system

    Traditional agile methodologies can sometimes struggle to accommodate the complexity and regulatory requirements of laboratory automation systems, leading to misalignment with stakeholder needs, scope creep, and potential delays. The lack of comprehensive requirements documentation can result in ambiguous expectations and hinder effective communication among cross-functional teams.

  • 27.09.2023.
    Newsroom

    Unveiling the power of data: Part III – Navigating challenges and harnessing insights in data-driven projects

    Transforming an idea into a successful machine learning (ML)-based product involves navigating various challenges. In this final part of our series, we delve into two crucial aspects: ensuring 24/7 operation of the product and prioritising user experience (UX).

  • 13.09.2023.
    Newsroom

    Exploring Language Models: An overview of LLMs and their practical implementation

    Generative AI models have recently amazed with unprecedented outputs, such as hyper-realistic images, diverse music, coherent texts, and synthetic videos, sparking excitement. Despite this progress, addressing ethical and societal concerns is crucial for responsible and beneficial utilization, guarding against issues like misinformation and manipulation in this AI-powered creative era.

  • 01.09.2023.
    Newsroom

    Peter Zuber becomes the new Managing Director of ERNI Switzerland

    ERNI is setting an agenda for growth and innovation with the appointment of Peter Zuber as Managing Director of the Swiss business unit. With his previous experience and expertise, he will further expand the positioning of ERNI Switzerland, as a leading consulting firm for software development and digital innovation.

  • data230.08.2023.
    Newsroom

    Unveiling the power of data: Part II – Navigating challenges and harnessing insights in data-driven projects

    The second article from the series on data-driven projects, explores common challenges that arise during their execution. To illustrate these concepts, we will focus on one of ERNI’s latest project called GeoML. This second article focuses on the second part of the GeoML project: Idea2Proof.