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Date:
Time:
9:00- 9:30
The Tec-O-Meter indicates the tech level of the TEC FIVE talk. Read more about the specific level in the event description.
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Online (webinar)
Together with AI Boost, the Alexandra Institute invites you to a webinar where you’ll gain insight into the key technical, strategic, and practical questions your organization should focus on to ensure the success of your AI projects. In the webinar, you’ll meet our AI Specialist, PhD Étienne Bourbeau.
Typical strategic, technical, and practical pitfalls in AI projects
Which pitfalls should you be aware of so you don’t end up spending 90% of your resources cleaning up your data instead of building AI solutions that actually create value?
Many have high expectations for artificial intelligence and end up disappointed when faced with the realities of AI development. In his work with numerous companies, Étienne has encountered a handful of common challenges that can derail even the best AI project — but which could easily have been avoided.
In this webinar, you’ll learn which technical, strategic, and practical questions you should focus on to make your AI projects succeed. Our AI Specialist, PhD Étienne Bourbeau, reveals the key pitfalls to watch out for.
The first pitfall is strategic ambiguity: Because of the hype around AI, Étienne often sees that the purpose, success criteria, and scope of AI projects are not defined precisely enough. Fortunately, there are ways to fix that.
The second pitfall is messy data: There’s great potential in using different types of data from various sources. Étienne has worked with text, sound, images, video, time series, and other tabular data — but they must be well organized. Étienne explains how.
The third pitfall is uncertainty around implementation: What happens when you receive a piece of code? How does it fit with your infrastructure and data security requirements? Who will operate it, and what will it cost? These are all questions you should answer before your AI project begins.
The webinar is ideal for anyone working in an organization that wants to start using AI and may already be exploring its possibilities.
Whether or not you’re an AI expert, you’ll take away valuable insights when Étienne shares his practical experiences from numerous customer cases.
You’ll gain:
Useful knowledge about classic challenges in AI projects so you can avoid mistakes that waste time, money, and cause frustration within your organization.
Concrete and practical insights into the requirements AI places on your data and organization — enabling you to focus your resources on developing AI solutions that are implementable and create real value.
Please note, that the webinar is in Danish!