If you’ve ever wrestled with messy data, you’ll appreciate the insights shared by Justin Graham and Jake Dein on Lexicon. They make a strong case for ensuring your data is organised and accessible before you embark on your AI journey.
Jake introduces the concept of the “streetlight effect” to explain how companies often rely on easily accessible data, rather than venturing into comprehensive datasets that drive real AI success.
Both experts advocate for “turning on all the lights” – merging scattered data into a single, unified system. They illustrate this with Barge Design Solutions’ experience, where untangling disorganised project records revealed critical insights.
Starting with the right problem is key. As Jake puts it, “A problem well stated is a problem half solved.” Clearly defining your challenge can save you from squandering time and resources.
An eye-opening example comes from Barge’s work with a water utility client. By addressing internal inefficiencies and integrating systems, they saved the client nearly $1 million – a reminder that progress often means refining how information is managed rather than chasing the latest tech trend.
Data hygiene, often overlooked, is another cornerstone of AI readiness. Justin likens it to an accelerator, noting that simple, effective practices can lead to significant savings. For instance, Barge’s archive search tool slashed search times and saved $350,000 each year.
Both experts caution against trendy yet ineffective AI fixes. They stress that without proper integration, AI risks under-delivering or even producing misleading results. One example highlighted involved a health and safety plan where integrated systems trimmed drafting time from hours to minutes.
Remember, AI is here to augment your decision-making, not replace it. As Justin explains, “We’re big on the ‘human in the loop’ idea,” underscoring that technology should always support human insight.
For organisations ready to dive into AI, Justin recommends starting by addressing specific friction points. Tackling real problems head-on provides clarity and sets you on the right course.
As industries evolve, breaking down data silos becomes increasingly vital. Jake and Justin emphasise that aligning security and access is a crucial part of deep data integration – a strategy that leads to smarter workflows and meaningful savings.
