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Making sure your AI initiatives deliver to your expectations, and align with your Business, Enterprise and Data Architectures
The RACE to Get on the AI Train Is On
The RACE to Get on the AI Train Is On
Do you know what your data scientists are actually building?
Are they on the right track?
When will you know if it works?
Is it aligned with your architecture, your strategy, your obligations?
And are you protected from the kind of AI embarrassment we’ve all read about in the media?
You have your AI Data Scientists. You have your Data teams. You have your Developers. You have internal Stakeholders. You need someone who can understand them all. Who can align AI with Enterprise Goals. Who can make Data delivered to AI. And you can help you to monitor the progress.
AI Readiness
and BUSINESS Alignment
AI Readiness
and BUSINESS Alignment
Clarify the business needs
Align with enterprise architecture and data strategy
Identify risks, gaps, and blind spots
Bridging Data Science and Enterprise Thinking
Bridging Data Science and Enterprise Thinking
Explain what your data scientists are doing, in business-relevant terms
Clarify how technical work connects to strategic priorities
Help executives ask the right questions and spot misalignment early
Locating and Evaluating Fit-for-Purpose Solutions
Locating and Evaluating Fit-for-Purpose Solutions
Identify promising vendors and off-the-shelf solutions
Review vendor claims and deliverables
Recommend cloud-native and standards-aligned approaches
Ensure proposed solutions integrate with your environment
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