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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.

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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?

Don’t forget to also start treating your data as an asset! Check out our view on Data Governance

datashift ceo nico huybrechts

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Curious how AI can accelerate your growth in data impact?

To truly unlock your data, it takes a clear strategy, a solid technological foundation and the right people. And that's what we provide for our clients.

Where are you today when it comes to your data? Reach out and discuss your challenge.
We're here to help.

Working with Datashift has proven to be an excellent experience. Their data expertise provided us with valuable insights and data-driven solutions which have helped us make informed decisions and improve our business outcome. 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."

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Stijn Van Hijfte
Senior Lead Intelligent Automation & AI

Artificial Intelligence articles you might be interested in

Microsoft Fabric: The Game-Changer in Data Analytics?

Microsoft introduced Fabric this week. Possibly and probably the game-changing solution that can transform data analytics and integration. We dived into what Microsoft has unveiled with Microsoft Fabric and how this can impact Data Engineers, Analysts and Scientists. But we also have some open questions that we will answer once we are finished testing this exciting technology.

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AI for every business

How can you successfully generate business value from AI? For sure, it is no easy task to get started with AI and machine learning. So check our practical examples of how AI technology and machine learning algorithms can be applied to 8 business domains.

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AI: The Future is Now - Are You Ready to Embrace it?

This blogpost will look into the evolution that AI has made in order to become what it is today. Next to that we will look forward, how AI can likely impact our future. Lastly, we will try to formulate a plan of attack that companies need to consider to be best prepared for the drastic changes that AI will have on our way of working.

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How can AI & ML strengthen data governance practices?

Artificial Intelligence & Machine Learning technologies have been on the rise throughout several industries. But what about AI & ML in data governance? What developments can strengthen data governance practices, and how will they most likely do that? And what is possible today?

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AI is on the rise. So are AI safety and ethical AI.

As AI has a growing impact on our society, new initiatives and organizations focusing on AI safety and ethical AI continue to spring up.

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AI for everyone? It’s no alchemy run by wizards!

We should use AI to make our organization smarter! Chances are you’ve recently heard this statement and see organizations acting to it. Leading companies are using AI across departments to increase productivity. Customer care organizations are using chatbots and speech recognition in their customer contacts. Marketing departments are predicting churn and segmenting their customer base.

Venturing into the field of AI may seem daunting at first. While AI has been hyped immensely in the last decade, it is a deeply technical field. Gartner even made a prediction that 80% of AI will remain alchemy run by wizards whose talents won’t scale in the organization. Your organization probably doesn’t have the scale and technological know-how of Google, Apple or Facebook. This might lead you to conclude that developing AI models isn’t for you. You are right, partially.

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Get inspired by these AI use cases

Read our paper on the Modern Data Platform here