Sales Enablement
Local Intelligence Kickstarter
Unlock On-Device and Hybrid AI
The Local Intelligence Kickstarter is a structured workshop designed to introduce technical and strategic stakeholders to the fundamentals of on-device inferencing and the advantages of local and hybrid inferencing.
The engagement blends technical exploration with strategic opportunity identification to equip customers with an understanding of how on‑device AI can accelerate productivity, enhance security, and enable new intelligent experiences.
Kickstarter Details-
Session 1: Introduction
All stakeholders
Kickoff: Alignment on goals, and participant intros.
Fundamentals: Local inferencing architecture, workloads, and benefits.
Overview: Local vs. hybrid inferencing techniques.
Demonstrations: Locally-accelerated scenarios.
-
Session 2A: Technical Lab
Breakout for engineers, architects, and technical decision‑makers.
Hands‑on execution: Local inferencing using Microsoft Foundry on Windows.
Side‑by‑side comparison: Local, hybrid, and cloud inferencing performance.
Review: Device capabilities, model packaging, and optimization techniques.
-
Session 2B: Strategic Envisioning
Breakout for business, product, and strategy leaders.
Envisioning: Identification of business challenges and value targets.
Opportunity mapping: Connect business challenges with on-device intelligence capabilities.
Prioritization: Evaluate feasibility, impact, and readiness.
Future‑state: Define targed outcomes on‑device AI experiences.
-
Session 3: Insights and Path Forward
All stakeholders
Sync: Synthesis and “show and tell” from both tracks.
Alignment: Match targeted strategic outcomes with technical capabilties and readiness.
Execution Path: Discussion of potential and preferred implementation pathways (PoC, pilot, modernization).
Wrap Up: Workshop summary recommendations and go-forward success criteria.
Kickstarter Output-
Workshop Documentation
Session Summaries: Consolidated notes from the introduction, technical lab, strategic envisioning, and wrap‑up sessions.
Key Insights & Findings: Captured observations related to readiness, inferencing opportunities, and participant feedback.
-
Technical Outputs
Lab Artifacts: Sample configurations, model execution outputs, performance comparisons (local vs. hybrid vs. cloud).
Technical Readiness Assessment: Evaluation of device capabilities, infrastructure considerations, and feasibility notes for on‑device AI.
-
Strategic Deliverables
Prioritized Opportunity List: Ranked use cases based on impact, feasibility, and alignment with customer goals.
Strategic Recommendations: High‑level guidance on how local intelligence can support business outcomes and transformation priorities.
-
Implementation Roadmap
Next‑Step Plan: Clear sequencing for proposed actions (PoC, pilot, modernization, or scaled deployment).
Indicative Timelines & Investment Ranges: Suggested pacing and effort level required to move forward.
Get Started