Ein klares Zielbild für Ihre KI-Datenstrategie. Der aiXbrain Datenaudit
Have you decided to improve your internal processes with Artificial Intelligence (AI) or to innovate your products, services, and business models with AI? Then your data should be better organized to be AI-ready, otherwise your project can quickly become frustrating and unnecessarily expensive.
AI procedures must be able to access as much data as possible and also need to receive some additional information about this data - so-called metadata - in order to deliver reasonable results. And if data access cannot be automated and standardized, economic development and scaling of AI is impossible.
Take the quick test for positioning assessment
As a quick test to see whether your data universe meets the essential requirements, you should be able to answer the following 5 questions with "Yes":
- Do you know where in your company or in your products which data is generated?
- Do you know where this data is stored?
- Do you know whether stored data is further processed and what happens to the results?
- Can you set up access for new applications to stored data within one day?
- Can you provide detailed information on your answers within 5 minutes?
Test passed? If yes, you have already created the essential prerequisites for using AI or other Big Data technologies in your company, congratulations! Then feel free to check out our offerings for data utilization with aiXbrain Dataray.
If you answered one or more questions with "No", that's no problem either. For this case, we present to you below the aiXbrain Data Audit, with which we can quickly and reliably find the missing answers together.
From aiXbrain Data Audit to AI Data Strategy
The aiXbrain Data Audit is a consulting service that typically does not last longer than 2 weeks, and at the end of which you will have your individual AI data strategy including implementation recommendations in hand.
At the outset, we map all data sources, data sinks, and data flows of your company or products in a data landscape map. In doing so, we take into account aspects such as storage locations (database, Data Lake, Cloud, On-premise, etc.), data formats (time series data, image data, raw data, compressed data, etc.), data volumes, duration of data retention, as well as the type and result of data processing operations between storage locations.
Next, we analyze your requirements for the future utilization of your data and create a specifications document from it. In addition to performance requirements such as real-time capability and scalability, data security, compatibility with existing systems, and budget constraints also play a decisive role.
Ultimately, we derive a tailored data strategy for you from the data landscape map and specifications document, which helps you organize data infrastructure, data management, and data access specifically for implementing your data initiatives. And to ensure this succeeds as best as possible, we also provide you with concrete implementation recommendations including tips for selecting appropriate software tools.
Conclusion
If your data environment is not yet sufficiently prepared for your AI plans, the aiXbrain Data Audit is the right next step for you. The data landscape map and specifications document give you a clear view of the current state of your data environment. And with a tailored data strategy, you know at any time what concrete step is the right one to organize your data for the future in line with your goals.
