Artificial Intelligence & Intelligent Automation

Artificial intelligence is the simulation of human intelligence in machines. This means that we can train algorithms to think and learn just like humans do. These systems can than be used to support decision making or to automate complex systems.

AI is the future!

Although AI will evolve even more in the future, we should not be blind to the effects that AI already has on our day-to-day lives. AI is being used across a wide range of industries, from healthcare and finance to transportation and retail. 

 

Artificial intelligence for all businesses?

Whether completely (and intelligently) automated or done by humans with computer level support, decision-making drives business value. Therefore AI and IA are often the last steps in the data value chain where high quality and well governed data is leveraged to make intelligent decisions.

Image generated with Midjourney, which can create realistic images and art from a description in natural language.

What's the challenge?

Often in getting high quality data to train accurate models and developing automated pipelines to deploy these models in production. To be successful in a production environment we need to monitor both the model and the data. Thus running successful AI-applications requires some sort of maturity in data governance and a reasonably well developed data platform.

How we have helped our customers?

  • Identifying and prioritizing use cases
  • Developing proof of value for these use-cases
  • Deploying these cases in production
  • Monitoring the solutions
  • Teaching and upskilling personal about AI

Should we also mention that good governance and a data platform are needed to make this a success story? Yes, we need to store and access data, including metadata, monitor the model and the data and visualize the output.

What can AI do for your business?

Get inspired by our AI & ML Matrix

Turn your data into an asset

Your data is an opportunity to get a competitive edge, to mitigate risks and to grow your business in a sustainable way by making the right decisions. But too often data remains unavailable, unknown or not combined and opportunities are missed. Are you seeing the untapped potential? Are you looking for the next step to take?

 

What’s your data challenge?

Datashift AI Domain Manager Dimitri De Rocker
Working with Datashift has proven to be an excellent experience. They collaborated with different stakeholders to better understand processes, dare to challenge in order to clearly define problem statements, before performing the required data analysis. Thanks to Datashift's high-quality data profiles, we were able to turn data into real business value.


Wouter Duerinck

Head of Client Data Analytics, Euroclear

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"We shouldn't try to solve everything with AI. In fact it should probably be avoided when possible. However some challenges cannot be solved with traditional computer programs. Coincidentally, these are the challenges that are going to determine our future."

quote author
Stijn Van Hijfte
Senior Lead Intelligent Automation & AI

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Get inspired by these AI use cases

Read our paper on the Modern Data Platform here