5-day Data Science and Machine Learning Discovery envisioning POC To understand the potential of AI in Azure or focus on a specific project with your key stakeholders
AI projects carry an element of risk, given the uncertain ROI and the emerging technologies involved. A structured approach to enable a business to understand AI potential within their organisation is required, identifying specific project opportunities with quantifiable benefits.
To discover the optimal approach for a pilot implementation, CT recommends a first principles discovery process and envisioning to scope potential projects in Azure.
Prior to the workshop we will have an initial discovery call between senior stakeholders & CT Predictive Science representatives. We will acquire an understanding of current business priorities and desired future states. The outcome of this call is a list of areas to focus on in the workshop.
**Days 1 & 2 - Envisioning Session**
This will include discussions about organisational requirements and capabilities, and availability and quality of relevant data. For each potential project area identified, we will help frame the business problem as a quantifiable proposal refined on to our predictive science canvas.
The outcome will be a shortlist of project ideas, with an order of magnitude estimate of implementation effort and potential business impact.
**Days 3 & 4 - Feasibility Study**
Based on the project shortlist, one AI project idea will be selected to be turned into a concrete proposal for a pilot. To develop this, CT will undertake a feasibility study consisting of a short cycle of analysis and exploration of provided sample data.
**Day 5 - Proposal Handover**
Having built a comprehensive shared understanding of the power and the limitations of AI, we will deliver a proposal for a pilot project and deliver as a Show & Tell format.
The pilot is a secure, production-ready and Azure based supported solution that proves the project idea and solidifies the business case for further collaboration and investment.