Daito Design

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UX is changing in a fundamental way. With AI and Spatial hitting at the same time, it is a whole new world of experience unfolding. Are you ready?

Revolutionizing Efficiency: How Spatial Computing and AI Enhance Situational Awareness in Energy and Industry In the domains of energy and industrial operations, situational awareness is crucial for efficiency, safety, and decision-making. Leveraging the synergy of spatial computing and AI, significant advancements have been made in processing and interpreting complex environments. This integration facilitates a more intuitive interaction between humans and digital systems, allowing for rapid assessment and response to dynamic situations. Recent studies and project implementations reveal that with tailored spatial computing and AI solutions, tasks traditionally taking a full day can now be executed within an hour. This leap in productivity stems from enhanced data analysis, real-time monitoring, and predictive insights, enabling operators to preempt issues, optimize workflows, and make informed decisions swiftly. This transformation is not just about technology; it's about rethinking how work is done, making operations safer, and conserving valuable time and resources. As we continue to explore the potential of these technologies, the energy and industrial sectors stand to gain unprecedented levels of operational efficiency and reliability.

Reflecting on past projects, I've noticed a recurring challenge: a disconnect between business goals, tech solutions, and user experience. Siloed teams, each excelling in their domain, but failing to integrate efforts. Research is done diligently, yet designers disregard it, and tech teams cut corners. The pivotal lesson? Success hinges on aligning these forces. An ambitious business goal without user experience integration is a recipe for failure. We need to foster collaboration, break down silos, and ensure all teams work harmoniously towards shared objectives.

According to McKinsey, 70% of digital transformations fail. I believe this is mostly the fault of UX designers and researchers, but not for why you think:

What’s great about Design Thinking is that it provides a common language for non-designers to share in the design process. Also, there’s a good shape to it. Design Thinking is built around the application of empathy to understand user pain points, challenge assumptions, redefine problems and create innovative solutions to prototype and test. These are all good steps for any creative process to go through. What’s not so great is that a lot of companies that do not have a mature design practice have started to do Design Thinking on their own. This ends up corrupting the design process. When Design Thinking is run by IT managers, engineers and product owners, absent a trained designer, it ends up being too low resolution and not rigorous enough to support the needs of large-scale digital innovation projects. The main problem with Design Thinking is that we expect too much from it. Frameworks like SAFe position it as the cutting-edge of creative, human-centered design research. But Design Thinking is not cutting edge. It is not human-centered. And it definitely is not design.?