How Artificial Intelligence is Revolutionizing Radiology
The number of life science papers describing artificial intelligence (AI) rose from 596 in 2010 to 12,422 in 2019 —an...
|
AI & DATA STRATEGY
|
![]() |
|
Synaptiq helps you develop your AI and data strategy as well as accelerate your roadmap to achieve successful business outcomes. Assess your AI and data readiness so you can prioritize the gaps you need to fill.
|
| Read More ⇢ |
|
DATA LAKE
|
![]() |
|
Synaptiq helps you unify structured and unstructured data into a secure, compliant data lake that powers AI, advanced analytics and real-time decision-making across your business.
|
| Read More ⇢ |
|
AI AGENTS & CHATBOTS
|
![]() |
|
Synaptiq helps you create AI agents and chatbots that leverage your proprietary data to automate tasks, improve efficiency, and deliver reliable answers within your workflows.
|
| Read More ⇢ |
|
LEGAL SERVICES
|
![]() |
|
Learn how Synaptiq helped a law firm cut down on administrative hours during a document migration project.
|
| Read the Case Study ⇢ |
|
GOVERNMENT/LEGAL SERVICES
|
![]() |
|
Learn how Synaptiq helped a government law firm build an AI product to streamline client experiences.
|
| Read the Case Study ⇢ |
![]() |
|
Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. |
| Start Chapter 1 Now ⇢ |
I regularly meet executives that are pondering what to do with AI.
Typical responses I hear are:
“Clearly it’s overhyped!”
“It’s moving so fast. Why should I do anything now?”
“We are too busy running our business.”
“Our data is a mess, we need to clean it up first.”
It’s easy to dismiss AI and just stick your head in the sand. I can say with certainty after spending nearly three decades in the technology industry, that AI isn’t a passing fad.
Back in college (1994), I, too, had this mentality. I still remember sitting in a humanities class listening to the professor drone on about how the internet was going to change the world. He was raving about the Blacksburg Electronic Village, and how it was THE model for global communication and commerce.
I didn’t get it.
I was too focused on passing the class, graduating college, and spending the rest of my life outdoors conducting field research.
Around this same time, Marc Andreessen co-founded and launched Netscape. Jeff Bezos founded Amazon.
The signs were there. A massive wave of change was coming but I didn’t take notice at all.
I had my head stuck in the sand.
Since that time, we’ve seen many other technology waves including:
Many of the companies that tested the waters early, saw significant upside. Those that waited until the technology was mainstream struggled to stay competitive.
Of course, different industries are more apt to invest in new technologies than others; but, unlike past waves, AI has broad applications.
It super charges all past (and future) waves.
It has the potential to improve all business functions and processes in every type of organization.
It may even revolutionize what you’re selling to your customers and how you make money.
I encourage every company to, at minimum, “dip their toes in the AI water”.
But… Don’t do it without a thoughtful strategy.
If you jump into it without a strategy, it’s highly likely your first project will fail. And, if you get discouraged by a failed project, you may give up for months or years while the rest of the world steps on your head in the sand.

Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold a strong commitment to ethics and innovation.
Contact us if you have a problem to solve, a process to refine, or a question to ask.
You can learn more about our story through our past projects, blog, or podcast.
The number of life science papers describing artificial intelligence (AI) rose from 596 in 2010 to 12,422 in 2019 —an...
May 20, 2026
AI has never been more accessible. In just the past few years, organizations have gone from experimenting with machine...
May 8, 2026
In Part 1 of this series, I covered how the primary constraint on AI-driven performance isn't technology; it's the...
May 6, 2026