Method

Method Method is a global strategic design and digital product development consultancy.

Data science requires shared languages, metaphors, and conceptual affordances, just like any other scientific discipline...
06/05/2026

Data science requires shared languages, metaphors, and conceptual affordances, just like any other scientific discipline. When it comes to LLMs, the difference between explaining and interpreting a model is crucial. Josh Noble dives into the hard problem of explaining in this technical blog > https://bit.ly/4g8iqfw

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 exp...
06/04/2026

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 why it's an ontological modeling curated by SMEs that translates specific concepts and vocabulary that will be used in the prompts that instruct the AI. Learn more about this critical human-in-the-loop requirement > https://bit.ly/4g0fjGy

Document workflow, identify repetitive steps, automate them, and measure. This was the playbook that guided Business Pro...
06/03/2026

Document workflow, identify repetitive steps, automate them, and measure. This was the playbook that guided Business Process Automation for decades. While it was effective in driving efficiency gains, the new real of automation offers challenges that aren't typically within the workflow. We share a new approach that evaluates automation value where it truly begins > https://bit.ly/4t84sOD

Summer may be here for a lot of students, but that doesn't mean the discussion on helping teachers build scalable learni...
06/02/2026

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. In one of our most popular Build What's Next episodes, Travis Barrs and Carol Rego discuss how automation can be used to help hyperpersonalization, workload-reducing classroom assistants, and efficacy.

Give it a listen here 👇

Spotify: https://bit.ly/4uactDq
Apple: https://bit.ly/4ue6LRe

Or wherever you get your podcasts.

AI is not just changing how design gets made. It is changing what design is for.When production becomes cheap and fast, ...
06/01/2026

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. It is in knowing what is worth making. The future of design is not less human. It is more selective about where human effort matters most. https://bit.ly/4f954iO

When AI feels expensive, token costs tend to draw the most attention. However, they are rarely the whole story. Michael ...
05/29/2026

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://bit.ly/4mI7Hda

If you're struggling with how to scale AI safely, then our in-depth conversation on machine learning operations with The...
05/28/2026

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. They discuss standardization, shared ownership between business and engineering, and the robust model governance necessary to succeed in this age of Gen AI.

Give it a listen here 👇

Spotify: https://bit.ly/4cPqRdT
Apple: https://bit.ly/4teBEDa

Or wherever you get your podcasts.

More and more people are finding financial products through AI tools instead of search engines. So how are forward think...
05/27/2026

More and more people are finding financial products through AI tools instead of search engines. So 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://bit.ly/4mPGCoF

Throwing AI at a broken system only accelerates the chaos. True bottlenecks are found in fragmented data, poor technical...
05/22/2026

Throwing AI at a broken system only accelerates the chaos. True bottlenecks are found in fragmented data, poor technical submissions, and inefficient human-to-system handoffs upstream. To clear the backlog, organizations must slow down to map the full workflow system and fix underlying data friction before buying more technology. We explain how to here > https://bit.ly/4eSnnsh

05/21/2026

Why do an estimated 80% of ML models built in notebooks never make it to production? Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak explain why it's not the technology and why shared ownership between business and engineering can be crucial to scaling AI safely.

Give it a listen here 👇

Spotify: https://bit.ly/4cPqRdT
Apple: https://bit.ly/4teBEDa

Or wherever you get your podcasts.

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