Why it is important for organisations to invest in AI training now

Get up to speed faster with the right AI training

  • Article
  • AI & Data Science
Meeting in a room with post-its on the wall

Many organisations are feeling the pressure: AI suddenly seems to be high on the agenda everywhere. New tools are following each other at lightning speed, colleagues are experimenting with ChatGPT, customers are asking smarter questions, and in the media, the word “AI” is unmissable. It feels like a train has taken off, and no one wants to be left behind.

But it is precisely in this momentum that it is important to stand still. To pause as an organisation and take a conscious look: what does AI actually mean for us? Where are the real opportunities? What is hype, and what is strategically smart? And above all: what should we do now to be prepared for what is to come?

Why training is not a luxury

An AI training can help as a starting point to start thinking about these questions. It helps teams to better understand the technology, calibrate expectations and set direction together. Not to build the biggest applications right away, but to take an informed and supported first step. Because investing in knowledge now lays the foundation for smart choices tomorrow.

From loose ideas to a shared view on AI

What is striking is that although there is interest in AI in many organisations, there is a lack of a shared frame of reference. Everyone already has an opinion about AI - often fuelled by loose tools, news items or discussions in the team - but real joint talking about AI is still rare. A training course helps to form a common view. What do we actually mean by AI? Where do we stand as an organisation? And what do we want to achieve?

Especially if you are still at the beginning

You don't need an elaborated AI strategy to get started with a training course. In fact, a training course can be extremely valuable precisely when that strategy is not yet in place. You learn what is and is not possible, so that you can form realistic expectations. You recognise the hype, but also the concrete opportunities. And you discover where AI can really add value for your organisation - and what is needed to do so.

Learning together is moving together

A training course is not just something for IT professionals or data experts. It is precisely when business, policy and data work together that strides can be made. AI trainings are therefore useful for different teams within an organisation. They help make ideas concrete, promote mutual understanding and make cooperation more effective. This lowers the threshold for experimenting with AI and increases the likelihood of sustainable results.

Take control instead of waiting

Perhaps most importantly, training gives you a foothold in a rapidly changing world. By actively investing in knowledge, you take the lead as an organisation. You are better prepared for the choices to come - about tooling, governance, legislation or cooperation - and do not have to reactively chase trends.

This is the time to start

An AI training is not an end point, but a starting point. It is designed for organisations that do not want to just wait and see, but want to get started with it now. Instead of waiting, this offers the moment to get to know the technology, explore it and take the first concrete steps. That way, you can discover for yourself how AI can support and develop your organisation.

Curious as to how our AI trainings can help your company move forward? Read more about the training here or contact us. We can tailor the training to your knowledge level and the questions you already have.

Want to know more?

Reimer will be happy to talk to you about what we can do for you and your organisation as a data partner.

Receive data insights, use cases and behind-the-scenes peeks once a month?


Sign up for our email list and stay 'up to data':

You might find this interesting too:

Your Data Engineering partner

Generate reliable and meaningful insights from a solid, secure and scalable infrastructure. Our team of 25+ Data Engineers is ready to implement, maintain and optimise your data products and infrastructure end-to-end.

Read more

Data Engineer (Dutch-speaking)

Build scalable data platforms and make technical decisions that create impact at leading organisations.

Read more

Implementing a data platform

Based on our know-how, the purpose of this blog is to transmit our knowledge and experience to the community by describing guidelines for implementing a data platform in an organisation. We understand that the specific needs of every organisation are different, that they will have an impact on the technologies used and that a single architecture satisfying all of them makes no sense. So, in this blog we will keep it as general as we can.

Read more

5 questions for Data Engineer Dennis

In this video, you will find out what a job as a Data Engineer looks like! What does a working week look like, which clients do our Data Engineers work for and what makes working so much fun? Dennis likes to tell you more about it!

Read more

5 reasons to use Infrastructure as Code (IaC)

Infrastructure as Code has proven itself as a reliable technique for setting up platforms in the cloud. However, it does require an additional investment of time from the developers involved. In which cases does the extra effort pay off? Find out in this article.

Read more

A well-organised data infrastructure

FysioHolland is an umbrella organisation for physiotherapists in the Netherlands. A central service team relieves therapists of additional work, so that they can mainly focus on providing the best care. In addition to organic growth, FysioHolland is connecting new practices to the organisation. Each of these has its own systems, work processes and treatment codes. This has made FysioHolland's data management large and complex.

Read more

A scalable machine-learning platform for predicting billboard impressions

The Neuron provides a programmatic bidding platform to plan, buy and manage digital Out-Of-Home ads in real-time. They asked us to predict the number of expected impressions for digital advertising on billboards in a scalable and efficient way.

Read more

The COVID-19 Violence Tracker

The outbreak of the corona pandemic in early 2020 has turned the world upside down. In addition to countless infections, hospitalisations and deaths, we also saw an outbreak of violence in many countries. Citizens took to the streets, sometimes violently, to protest against the measures taken, but domestic violence also increased in many places and fear and frustration played a role in racism.

Read more

Why do I need Data Engineers when I have Data Scientists?

It is now clear to most companies: data-driven decisions by Data Science add concrete value to business operations. Whether your goal is to build better marketing campaigns, perform preventive maintenance on your machines or fight fraud more effectively, there are applications for Data Science in every industry.

Read more

Digital transformation for cross-channel customer experience using data.

The Van Gogh Museum is the most visited museum in the Netherlands. More than 2.2 million people visited the museum in 2017. Data is collected from all those people. Data from the website and other online marketing channels, but also offline data from ticket sales at the box office, for example.

Read more