Data Science & Machine Learning
Tackling of major business challenges by building a scalable data science platform, democratizing and leveraging the power of machine learning and artificial intelligence.
Add value by leveraging the power of AI & ML. Digitl Cloud helps you define and implement the right Data Science infrastructure in all suitable cloud environments. We combine the business value of your use cases with the right machine learning strategy. This includes model development, the right ML infrastructure and visualization of results.
ML Ops
Machine Learning Operations aim to streamline the release process for machine learning and software applications. This allows automated testing of machine learning artifacts (e.g. data validation, ML model testing, ML model integration testing) as well as first-class support of machine learning models and datasets as part of CI/CD systems.
Model Development
AI systems are always built on models, which define the same challenge and problem. Different approaches, methods, and processes are required for other use cases. Designing an AI project should always focus on the needs of the business and be related to clear use cases.
Data Lake Setup
A data lake offers the possibility to store data from any source in raw form. This includes unstructured data from social media, web analytics data, and mobile devices, as well as structured data from conventional tools such as Salesforce CRM. The right setup enables clients to gain new insights and flexibility into their businesses.
Maturity Assessment
Based on a maturity assessment, a client's current status-quo of infrastructure as well as data handling is provided. Thus serving as a foundation to create a tailored road-map to its specific needs to empower the next level of data science & machine learning. In light of the assessment results, clear recommendations for action can be formulated for the future.
Data & Marketing Analytics
Managing data is a challenge. With the support of Digitl Cloud, marketers can unify data from multiple sources, including the most relevant marketing platforms, to gather actionable insights and make informed business decisions. When cloud solutions and marketing platforms are used collaboratively, marketing teams can bring valuable business data directly to their digital campaigns.
Learn moreData & Marketing Analytics
Managing data is a challenge. With the support of Digitl Cloud, marketers can unify data from multiple sources, including the most relevant marketing platforms, to gather actionable insights and make informed business decisions. When cloud solutions and marketing platforms are used collaboratively, marketing teams can bring valuable business data directly to their digital campaigns.