Method

We are a global strategic design and digital product development consultancy.

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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. https://t.co/U2KEMNevHh

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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. https://t.co/fC234gobGU

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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. https://t.co/VdkViYMBGk

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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. https://t.co/KCkDblekcI

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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 > https://t.co/glh1CypXEP

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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 > https://t.co/fC234gobGU

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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. https://t.co/pbcuNA7da6

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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. https://t.co/KCkDblekcI

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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. https://t.co/mahTDJyOVX

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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. https://t.co/9XM7H7em2q

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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. https://t.co/0PEpQkAYlG

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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 > https://t.co/yBaOryaQ2B

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When it comes to data readiness, organization, competency, and pipelines are the foundation AI systems need to grow stronger over time. Ed Mangini explains why companies need to imagine data readiness as a living physiology in order to succeed with AI. https://t.co/Oc8egbYCCP

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With expertise from across Hitachi, the Global AI Center of Excellence enables scale by ensuring that successful approaches can be reused, investments align with strategic priorities, and AI initiatives deliver measurable value as they grow. Learn more > https://t.co/vtzQ6Zojig

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"MLOps is no longer optional" - Miguel Ribeiro

Theo Munoz, Miguel Ribeiro, & Natan Szczepaniak discuss how standardization, shared ownership between business and engineering, & robust model governance can ensure you're scaling AI safely and successfully. https://t.co/KCkDblekcI

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Many SaaS companies approach AI investment with vague promises of efficiency gains or a sense of they'll fall behind without it. Jason Rome looks at the three categories of AI value and shares best practices for building a long term competitive advantage. https://t.co/rueUEXyjTE

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Last week, in collaboration with our friends at @Allstacks and @MiroHQ, we guided product leaders from major companies in Atlanta on effectively articulating ROI throughout the product development lifecycle. Thank you to everyone who joined us!

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Enterprises are attempting to run AI initiatives without the operating capability required to manage them at scale. Miguel Ribeiro and Natan Szczepaniak share what it was like working with a major UK retail and commercial bank to redefine its approach. https://t.co/HqWqigiMg3

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Agentic commerce is empowering consumers through seamless product discovery, selection, and purchasing. On May 13, we will analyze agent-driven systems on consumer experiences, traditional business models, and front-end interfaces. Save your spot here > https://t.co/7aDOO0qQgX

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Did you know that an estimated 80% of ML models built in notebooks never make it to production? In this episode of Build What's Next, Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak discuss what is needed to scale AI safely. Give it a listen here > https://t.co/KCkDblekcI