Predict the Future
with Artificial Intelligence & Analytics
Our driving force at Sereviso is the overarching goal of transforming data into value. We want to enable organisations to turn their data into insights that can be implemented. We know there’s no “one size fits all” – that’s why we accommodate your company’s individual needs by building customised, predictive and artificial intelligence solutions.
How can we help?
Our services range from end-to-end predictive and AI projects to product implementations. These encompass data engineering, data science, AI model development, software engineering, and integrations with your existing workflows.
Proof of concept (PoC) and proof of value (PoV)
Start your predictive AI journey. Together, we identify and clarify your data-driven opportunities to innovate and improve performance across teams within your organisation. We design practical use cases and build customised solutions to help realise the concept and its value.
A proof of concept starts by identifying data-driven opportunities. Our data scientists extract insights from a sample data set. This allows us to evaluate the viability and sustainability of our ideas and solutions.
A proof of value makes it possible to assess and consolidate evidence of the value that our predictive and AI solutions will generate for your business, justifying investments and accurately measuring their success.
Custom predictive & AI solutions
Turning a POC into a fully-fledged deployed solution can be a daunting task. Sereviso ensures smooth deployment from a focused idea to the end-to-end build-up and implementation of artificial intelligence pipelines.
Our engineers and data scientists help you leverage the power of machine learning to automate complex tasks and increase productivity. Sereviso’s services help you make better decisions by weighing up a wide array of parameters to provide valuable insights. Our team defines, creates, and implements models to efficiently address your unique challenges. Our domains of expertise include:
- Anomaly detection
- Optimisation algorithms
- Machine learning
- Reinforcement learning
- Clustering and personalisation
If data is the new fuel, artificial intelligence is the accelerator. We want to ensure that you fully exploit your data potential and that your company’s engine runs smoothly. Sereviso’s engineers can make sure that your data is ready for use in analytics.
The Architecture of Artificial Intelligence
We design and build the analytics infrastructure that addresses your specific needs. We take care of operational, IT, and security requirements to make sure that the technical platform serves your business requirements. Thanks to our extensive core experience, we can provide optimal guidance on questions such as build versus buy, on-premise versus cloud versus hybrid.
Audit and advisory
We verify your use of the optimal analytical technology stack. Our experts provide guidance on optimisation and areas of improvement, advising on the ideal setup. On-premise, hybrid, and cloud-native.
Design and build-up
We help you select, design, and implement the right analytical platform and environment, whether on-premise, hybrid or cloud-native.
Solving the Puzzle: Data Operations and MLOps
Bringing machine learning projects into production is as challenging as a monochrome jigsaw puzzle. But it’s worth the effort: machine learning operations (MLOps) use best practice in data management to create an efficient and reliable framework for model development, testing, and deployment. For a fast and flawless deployment, we rely on continuous integration and continuous delivery (CI/CD).
We operate and maintain your data platforms and solutions according to these principles. In addition to helping build a performant data governance framework, we manage your data platforms, analytical solutions, and machine learning algorithms. We advise and support you in the implementation of MLOps principles and consult on data governance frameworks.
Benefits of our AI Solutions
Smart decisions through accurate predictions
Management of repetitive tasks using automation
Extension of human capabilities with AI
Identification of patterns and anomalies
Understand and leverage unstructured data
What is predictive analytics?
Predictive analytics (PA) involves advanced statistics, including descriptive analytics, statistical modeling, and large volumes of data. Predictive analytics can include machine learning to analyse data quickly and efficiently. Like machine learning, predictive analytics doesn’t replace the human element. Instead, PA supports data teams by reducing errors and uncovering significant insights.
What is a data pipeline and how does it work?
A data pipeline is a set of actions that ingest raw data from disparate sources and move the data to a destination for storage, analysis, and reporting. A pipeline also may include filtering and features that provide resiliency against failure. A data pipeline may be a simple process of data extraction and loading, or, it may be designed to handle data in a more advanced manner, such as training datasets for machine learning.
Data pipeline: in-house or in the cloud?
Many companies build their own data pipelines in-house. But there are challenges when it comes to developing an in-house pipeline. Speed, scalability, latency for time-sensitive analysis or BI applications, data volume and velocity are all points to keep in consideration, as well as the high costs involved, and the continuous efforts required for maintenance.