At Clockworks, we believe that cross-pollination between AI and other fields is essential for developing successful AI applications. This means not only that we, as AI experts, delve into new fields to see how AI can be applied, but also that people from other fields gain insight into how AI works. The barrier to dipping your toe into the AI field for the first time can be quite high. There are countless ways to learn more about AI, such as blog posts, tutorials, whitepapers, masterclasses, live demos, or TED talks. We are particularly curious about your experiences: how can we make our field accessible as a first step towards successful cross-pollination? All thoughts are appreciated! 🧠🌱 😊 #ArtificialIntelligence #MachineLearning #DataScience #DeepLearning #AIinnovation #Innovation #ComputerVision #AIinBusiness ##FutureOfAI
I agree! I often teach clients about AI as part of the project: from high level to really detailed depending on the audience. It is especially helpful to have a common understanding of the most important terminology. This way you can communicate about the progress much easier :)
I believe the most impactful AI emerges through genuine cross-disciplinary collaboration. To build truly valuable solutions, it's essential that we not only understand how others first engage with AI, but also deeply understand real customer needs and current barriers to adoption. When commercial and engineering teams work together to clearly communicate those needs, we create the conditions for building AI that truly solves problems—not just showcases technology.
Cross-pollination really is where the magic happens. I've seen how much more impactful our work becomes when someone from a completely different background brings in a fresh perspective or asks a question we hadn’t thought to ask ourselves. I think the key to making AI more accessible is to keep things grounded. Less about the hype, more about real-world examples and open conversations. It doesn’t have to start with a deep dive, sometimes just showing what’s possible is enough to spark interest.
One key aspect of making AI more accessible is ensuring that the information we share is not only understandable but also actionable. People need to see how AI can be applied in practical, everyday scenarios. Providing clear, step-by-step guides and real-world examples can help demystify AI and show its potential benefits.
Software Developer at Clockworks
2wI think it would be great to have an up-to-date overview of both the latest AI developments and the promise they're showing, and the developments that have established a proven business value by this point. That would really help decision makers find the best balance between the use of proven technology and preparation for upcoming trends.