Are You Combining AI, ML, & GenAI for Transformational Impact?
GenAI provides amazing interactive experiences and is capable of creating increasingly impressive content. It has very real limitations, though, in a number of areas where traditional AI and Machine Learning excel.
To win, you’ll need to develop AI, ML, and GenAI-enabled solutions that solve critical customer needs.
The Challenge
When you scale from notebooks and PoCs to production, applied AI and ML engineering raises hard questions like:
- Are our predictive and generative models working together to deliver measurable business outcomes?
- Can we trust our AI systems in production for accuracy, latency, safety, and resilience when things change?
- Are we leveraging the right (AI, ML, GenAI) methods to solve increasingly complex, high-value challenges?
The true power of GenAI comes when you create integrated solutions that leverage tools, AI, ML, and Agentic AI.
Our Solution
A structured, lightweight digital diagnostic focused that:
- Benchmarks how effectively your organization integrates AI, ML, GenAI, and Agentic AI capabilities.
- Highlights competency gaps that will limit your ability to deliver sophisticated AI & ML-enabled GenAI experiences.
- Provides targeted recommendations to raise the quality of your AI, ML, GenAI, and Agentic AI integrations
Move from “we have scattered AI experiments” to “our AI & ML-enabled GenAI solutions are a key differentiator for our business.”
Areas of Focus
- Predictive Analytics – Evaluate how you leverage ML models that power forecasting, scoring, and personalization.
- Ops Optimization – Assess how you use AI to streamline operations, from routing and scheduling to exception handling and decision-support workflows.
- Voice & Vision – Understand your readiness for multimodal experiences.
- Intelligent Systems – Review how you orchestrate models, tools, and data into robust systems.
- Specialized Domains – Examine how you adapt AI patterns for complex or regulated domains.
Targeted Acceleration Guides
> 800 actionable resources to accelerate your GenAI journey, including:
- A brief description of each capability or practice
- Why it’s important and why it’s challenging at scale
- The typical complexity to solve
- Three actions to take based on your specific level of readiness
- Key watch‑outs and common pitfalls to avoid
- The benefits you can expect when you close this gap
How it Works
- Take the assessment – Purchase and complete the Applied AI & ML Expertise Assessment for your organization or team.
- Review your results – See your scores across each area of focus and compare your readiness with data-driven benchmarks.
- Unlock your Acceleration Guides and action plan – Access targeted recommendations, with concrete actions, watch-outs, and next steps.
Outcomes You Can Expect
- A clear view of how ready your applied AI and ML engineering is to support your GenAI ambitions.
- Clear priorities to improve your ability to integrate AI, ML, and GenAI solutions and capabilities.
- Insight into best practices, common anti-patterns, and the trade-offs between speed, reliability, and cost in applied AI.
- A practical action plan with next steps to strengthen architecture, tooling, and skills.
- A way to track progress over time as you mature your AI, ML, GenAI, and Agentic AI capabilities.
This is the Solution for You, if:
- You’re exploring integrating AI, ML, and Agentic AI into your GenAI solutions.
- You have applied AI & ML expertise and need to align and accelerate them with your GenAI efforts.
- You’re planning significant investments in AI platforms, copilots, or intelligent automation..