In commerce, companies often consider cutting marketing budgets during economic uncertainty or cost-cutting efforts. However, this short-term approach can harm long-term growth and market competitiveness. Consistent marketing is vital for…
The key to success is not so much the selected Process Mining Tool, but rather the all-important Value Engineering.
How unstructured data can be used for Process Mining with Deep Learning for Natural Language Processing and Computer Vision.
The DATANOMIQ AI Assessment is the check-up for your organization. We examine how your business organization can benefit from AI, with real results and implementation blueprints.
Data Engineering is not just about enterprise-internal data but also about data gathering from external sources and data security.
Why data engineering has long since stolen the show from data science in terms of importance and career opportunities, but is itself subject to constant change. Data Engineer Job Profile…
Let’s say our customer needs structured, labeled images for an online tourism portal. The task for our AI model is therefore to recognize whether a picture is a bedroom, bathroom, spa area, restaurant, etc. Let’s take a look at the possible training methods.
Every data scientist, data analyst or data engineer rarely works only with open data, but with internal company data that is of great importance for business success. All the more reason why these experts in data storage and analysis should always think about data security and observe certain rules and principles. In addition to the technical security of the data, legal security also plays a role.
Big data already plays a decisive role in almost all industries and has become an elementary earnings factor. Nevertheless, only a few companies have a mature data strategy in order…