Digital Strategy Leader
Emerging Technology Evaluation
What You Do Today
You separate hype from value — evaluating new technologies against actual business problems, running proofs of concept, and deciding what's worth a bet versus what's a distraction.
AI That Applies
AI-curated technology intelligence feeds that filter vendor noise, track academic research, and map emerging technologies to your specific industry use cases.
Technologies
How It Works
The system ingests academic research as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The 'so what.
What Changes
The signal-to-noise ratio improves. AI filters the firehose of vendor pitches and analyst reports down to what's actually relevant to your strategy.
What Stays
The 'so what.' Knowing a technology exists is easy. Knowing whether it solves a real problem for your customers or operations — and whether your organization can actually adopt it — requires deep business context.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for emerging technology evaluation, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long emerging technology evaluation takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CEO or executive sponsor
“What data do we already have that could improve how we handle emerging technology evaluation?”
They set the strategic priority for transformation initiatives
your CTO or CIO
“Who on our team has the deepest experience with emerging technology evaluation, and what tools are they already using?”
They own the technology capability that enables your strategy
the leaders of the business units you're transforming
“If we brought in AI tools for emerging technology evaluation, what would we measure before and after to know it actually helped?”
Their buy-in determines whether your strategy actually gets implemented
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.