Data, AI & technology strategy
Start with the problem, not the AI
AI creates enormous possibilities, but putting AI on top of poorly structured data or an unclear business problem doesn't magically create intelligence.
The answer you can act on
the challenge
The question isn't 'How
can we use AI here?'
- it's 'What are we actually
trying to accomplish?'
AI is a tool, not a strategy
Organizations have access to more data, AI, and technology than ever before. But having more tools doesn't necessarily make complex information easier to use. Putting AI on top of poorly structured data or an unclear business problem doesn't magically create intelligence — it often creates new problems.
Where value actually comes from
I help organizations determine where AI, machine learning, data architecture, cloud technology, and automation can create meaningful value - and what needs to be in place to make those solutions practical, secure, and reliable. The starting point is always the problem, not the technology.
Right-sized solutions
Depending on the problem, that can include advisory work, solution architecture, implementation strategy, and fractional technology leadership. Sometimes the answer involves AI. Sometimes it requires better data architecture, automation, or cloud infrastructure. And sometimes the most sophisticated solution is unnecessary. The right solution is the one that makes the information more useful to the people who need it.
03 — Services
Different domains, one underlying challenge.
Important information exists. People need answers from it. But it isn't structured or accessible in a way that makes those answers easy to find. I design solutions that close that gap.
Legal
Turn medical records into usable case intelligence
Law firms handling medical-record-heavy cases can spend significant staff time collecting, organizing, reading, and searching through records before attorneys have the information they need to evaluate or work a case.
I help firms turn complex medical records into structured, usable case intelligence - so legal teams can identify relevant evidence sooner, evaluate case merit faster, and spend more of their time working cases rather than searching documents.
Life sciences & biotech
Make complex scientific data more useful
Scientific organizations generate enormous amounts of specialized data, but getting that information into a form researchers can consistently access, analyze, and use can be difficult. Generic IT solutions often don't account for how scientists actually work. Scientific teams, meanwhile, may not have the technology infrastructure or expertise required to build the systems they need.
I bridge that divide. Drawing on my background in science, bioinformatics, data, machine learning, and technology architecture, I help life science and biotech organizations build practical systems around the way their researchers and their data actually work.
Data, AI & technology strategy
Start with the problem, not the AI
AI creates enormous possibilities, but putting AI on top of poorly structured data or an unclear business problem doesn't magically create intelligence.
I help organizations determine where AI, machine learning, data architecture, cloud technology, and automation can create meaningful value — and what needs to be in place to make those solutions practical, secure, and reliable. Depending on the problem, that can include advisory work, solution architecture, implementation strategy, and fractional technology leadership.
Contact
Have a complex problem hiding in your data?
Tell me what you're working with, what's getting in the way, and what you're trying to accomplish. We can decide together whether there is a practical way to turn that complexity into something useful.
Specialized knowledge, data, and technology, brought together to turn complex
information into decisions.
Contact
Peter Wilkinson
Founder and CEO
1-400-600-4315
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