We are a global strategic design and digital product development consultancy.
Joined May 2009
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While working with a major industrial customer to modernize their global quality management system, we uncovered a startling metric. Only 6% of users could complete a standard task without error. What was the problem? We explain in this blog. bit.ly/49ujzL1
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Jun 15
AI has promised to change industries and redefine what it means to have a competitive advantage. But the reality is, without quality data, AI is not going to succeed. Here are the 10 recurring data challenges that block organizations from AI success. bit.ly/4w9Z8Mx
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Jun 11
When it comes to the energy grid, the biggest bottleneck isn't technology, it's everything surrounding it. We examine why outdated processes, incompatible tools, and inconsistent data compound deep-seated systemic friction that no single software can fix. bit.ly/4eSnnsh
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Jun 10
What is the best way to cut through the AI noise and ensure your team is getting real ROI in the software development lifecycle? In one of our most popular Build What's Next episodes, we discuss cost, risk-adjusted ROI, & practical wins for modernization. bit.ly/48IMER6
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Jun 9
AI investments for SaaS companies fall into three value categories: revenue growth, revenue protection, and cost management. Each requires different success metrics, different risk profiles, and different timelines to ROI. Jason Rome breaks them down > bit.ly/48Pb6RN
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Jun 8
The AI landscape changes quickly, and many variables remain uncertain. The good news is, there are proven fundamentals that help ensure you're driving meaningful AI adoption in your organization. Brittany Stone explains > bit.ly/4cAdHjm
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Jun 5
Data science requires shared languages, metaphors, and conceptual affordances, just like any other scientific discipline. When it comes to LLMs, Josh Noble explains why the difference between explaining and interpreting a model is crucial. bit.ly/4g8iqfw
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Jun 4
What can we do to guide AI to work on what we want and, more crucially, the way we want it to work? Maria Aretoulaki explains it's an ontological modeling curated by SMEs that will be used in the prompts that instruct the AI. bit.ly/4g0fjGy
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Jun 2
Summer may be here for a lot of students, but that doesn't mean the discussion on helping teachers build scalable learning platforms with AI is taking a break. We discuss how automation can help hyperpersonalization, reducing workloads, and efficacy. bit.ly/4uactDq
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Jun 1
AI is not just changing how design gets made. It is changing what design is for. When production becomes cheap and fast, the advantage is no longer in creating more. The future of design more selective about where human effort matters most. bit.ly/4f954iO
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May 29
When AI feels expensive, token costs tend to draw the most attention. However, they are rarely the whole story. Michael Gray and Ed Mangini dive into where AI budgets go and how teams can better manage their AI investments. bit.ly/4mI7Hda
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May 28
If you're struggling with how to scale AI safely, then our in-depth conversation on machine learning operations with Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak is one you can't afford to miss. Learn how to succeed in this age of Gen AI. bit.ly/4cPqRdT
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May 27
How are forward thinking financial institutions moving from traditional SEO to generative engine and agent search optimization? See how to structure data that AI systems can easily parse and cite > bit.ly/4mPGCoF
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May 26
As agentic AI restructures digital production, creative workflows are shifting from manual output to systematic execution. Those who focus on the art of noticing what data cannot explain will have the advantage explains Helen Le Voi > bit.ly/4f954iO
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May 22
AI bottlenecks are found in fragmented data, poor technical submissions, and inefficient human-to-system handoffs upstream. To clear the backlog, organizations must map the full workflow system & fix underlying data friction before buying more technology. bit.ly/4eSnnsh
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May 21
Why do an estimated 80% of ML models built in notebooks never make it to production? Our AI experts explain why it's not the technology and why shared ownership between business and engineering can be crucial to scaling AI safely. bit.ly/4cPqRdT
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May 20
Larissa Uredi explains how AI-first solutions can improve healthcare by simplifying technological localization, providing up-to-date, accurate translations across a variety of languages with minimal customer input. bit.ly/4cHJpLN
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May 19
AI adoption fails because the body supporting the technology can’t stand upright, move with sufficient strength, or coordinate its parts. We look at how Capital One, Uber, and the UK Government Digital Service are bringing AI to life with better data. bit.ly/4usjOyg
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May 18
In this chat around core development workflow, David Shackelford explains how designers can use tools like Perplexity, UX Pilot, & Figma Make, while Paul Rowe weighs in on how tools like Claude Code & Google's Anti-Gravity IDE are impacting engineers. bit.ly/4c83M4i
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May 15
At our recent Tech Talk with Mike Storiale and Michael Lewandowski, we discussed the profound impact of agent-driven systems on consumer experiences, traditional business models, and front-end interfaces. Watch it for free here > bit.ly/4uLaWTW
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