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Can Do & AWS: A strong collaboration for AI innovations in project management

Our collaboration with Amazon Web Services (AWS)

As an AWS Advanced Tier Technology Partner, Can Do relies on AWS services to develop innovative AI solutions. A recent case study highlights how Can Do leveraged AWS services to accelerate the development of an AI-powered business Intelligence solution within five months.

By leveraging AWS services such as Amazon Q Business and Amazon QuickSight, we have created a solution that helps companies quickly analyze large amounts of data and make accurate predictions. The ability to access real-time data and run AI-powered simulations makes it easier for companies to minimize risks and make informed decisions.

👉 Click here for the case study

👉 Click here for the Can Do BI blog article on business analytics

 

WHY CAN DO RELIES ON AWS

The Can Do platform has also been available on AWS since 2017. Customers from IT, automotive, mechanical engineering and FinTech benefit from:

  • Highest security & data protection: AWS provides encryption and access controls that help companies manage their data securely. In addition,AWS operates C5-certified data centers in Germany that meet the highest compliance and data protection requirements, which is particularly beneficial for companies with strict regulatory requirements. 👉 Find out more about the security of the AWS Cloud here
  • Storage of all data in Germany or in the EU: Can Do platform users can choose whether all data is stored in Germany or another EU country
  • Scalability & performance: The flexible cloud infrastructure enables Can Do to dynamically adapt its services to customer needs and ensure high availability.
  • Global availability: With AWS, Can Do can operate worldwide and provide its customers with fast access to their project data in any region.
  • Fast innovation cycles: AWS services help companies to develop powerful AI and machine learning applications in the shortest possible time. The "Can Do BI for business analytics" add-on module was developed within five months leveraging Amazon Q Business to enhance effieciency and speed.

KI FOR REAL-TIME ANALYTICS AND SMART REPORTING

Since October 2024, Can Do has been offering its add-on module "Can Do BI for business analytics", an innovative solution based on Amazon Q Business and Amazon QuickSight.

Amazon Q Business serves as an intelligent assistant that analyzes complex project data and presents it in an understandable way using natural language. Amazon QuickSight extends these functions with interactive dashboards and automatic data visualizations that provide deeper insights into project and resource data. Instead of tedious calculations, users receive precise, interactive reports directly in the Can Do software - with just one click.

INCREASING PRODUCTIVITY THROUGH INTELLIGENT AUTOMATION

Companies save valuable time by using the Can Do solution: managers can reduce their administrative workload by up to 25 %, while teams work more efficiently. The high demand for Can Do BI confirms the success of this further development. "Never before have we had an internal project with so much positive feedback," reports Thomas Schlereth, CEO and Head of Development at Can Do. The sales department also confirms that customers are enthusiastic about the solution and particularly appreciate how intuitively and quickly they can now access important project information.

NEXT STEPS: EXPANSION OF KI FUNCTIONALITIES

Can Do is already planning the next stage of innovation: large language models are to be integrated to enable even more detailed analyses and AI-supported risk assessments. AWS continues to be a central cloud services provider supporting our scalability and efficiency goals. This further development will make it possible to gain even deeper insights into project and resource data and make even more informed strategic decisions.

👉 Curious to find out more? Read the full article and find out more about our innovative use of AWS services!

Ariane Becker is in continual exchange with interested parties from various industries. Her main focus is to bring the right information and suitable experts together and getting directly involved in the use cases and the software.

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