Samuel Glauser
ERNI Switzerland

24/7 Operation: Bridging MLOps, DataOps, and DevOps

Creating an ML-powered software product that operates round-the-clock poses significant challenges for organisations. Such products must not only adhere to DevOps principles like continuous integration and deployment (CI/CD) but also consider MLOps and DataOps. MLOps extends DevOps by incorporating aspects like version control of trained ML algorithms and the data features relevant to those algorithms. DataOps focuses on the data itself, including its origin, processing steps, and timestamp.

To ensure seamless MLOps and DataOps processes, robust data pipelines and orchestrated data flows are essential. These pipelines transform raw data into a master table that serves as input for the ML algorithm. Additionally, monitoring tools play a vital role in tracking the performance of the pipelines, as the accuracy of ML predictions heavily relies on data quality. Automatic alerts are triggered when predefined metrics, such as prediction accuracy, fall below acceptable thresholds.


User-centric design: Putting users at the centre

Ultimately, the success of a product hinges on user satisfaction. Therefore, prioritising the user experience and considering UX aspects from the early stages of project development is crucial. The design of interactions and visual aesthetics plays a significant role in creating an appealing, easily understandable, and user-friendly application.

At GeoML, we encountered the challenge of catering to a heterogeneous target audience (social media users) and aligning our design and objectives with their preferences. When dealing with abstract topics and a less-informed target audience, user-friendly design becomes even more critical in capturing users’ interest despite initial unfamiliarity. We gathered as much information as possible about our target audience, creating generalised user profiles to guide our design decisions.


Measuring user engagement: An ongoing journey

Determining the level of user engagement with a product is crucial for its success. For GeoML, we will rely on future measurements to answer questions such as the frequency of completing and repeating the challenge, sharing the challenge with others, and the duration of engagement with specific views (estimation questions). These measurements will provide valuable feedback and insights. As discussed in the second article, internal user testing helped us approach the ideal form of our product.



The journey from idea to product is not a linear process but rather an agile and continuous loop. It requires ongoing evaluation, re-evaluation, and adaptation. At ERNI, we embrace this iterative flow, ensuring that each step aligns with the evolving requirements. By bridging MLOps, DataOps, and DevOps, and prioritising user-centric design, we can overcome challenges and deliver ML-based applications that meet the needs and expectations of users.

Explore our interactive ML-based web application at:

News from ERNI

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

  • 06.12.2023.

    Streamlining software development: The journey from multiple to unified requirements management tools

    Productivity in software development is slowed down by managing specifications across various requirements management (RM) tools. Although moving to a single, updated RM tool involves an upfront investment, the long-term benefits are considerable. These include increased process efficiency, enhanced collaboration, superior traceability, improved software specification quality, cost reductions, scalability and better integration with other RM tools, among others.

  • 22.11.2023.

    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.

    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.

    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.

    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.

  • 13.09.2023.

    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.

    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.

    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.