Defence Artificial Intelligence Centre Early Market Engagement - Artificial Intelligence Data Labelling Capabilities

Note: This is an in-person event only and will be limited to two delegates per supplier.

The Prior Information Notice for this opportunity can be found here.

Overview

The Defence Artificial Intelligence Centre (DAIC), a part of the Ministry of Defence (MOD), is looking to hold an in-person early market engagement event for an Artificial Intelligence (AI) Data Labelling capability to help test the current thinking around delivery models and garner ideas/feedback from the market on any potential procurement, transition and delivery. This event follows on from a recently released Request for Information (RFI).

Background & Event Details 

The purpose of DAIC is to enable and accelerate ambitious, safe, and responsible Artificial Intelligence adoption across UK Defence for strategic advantage.

Currently DAIC is undergoing an exercise to determine the delivery model for an AI Data Labelling capability which may or may not result in a decision to outsource the services in-scope. As part of this exercise, MOD is considering the role and responsibilities it wishes to hold in any future delivery model. Whilst some capability is already outsourced, any new contract(s) would essentially represent 'first generation outsourcing' for this capability i.e. the first time MOD has outsourced the Data Labelling capability at scale.

In the context of this potential opportunity, Data Labelling is adding labels/tags to data so that machine learning (ML) models can be trained to identify specific content. Data Labelling adds context to raw data to improve the accuracy of the resulting ML models e.g. labelling objects in an image/video or entities in text. Data Labelling helps to reduce ambiguity and ensure ML models are consistent in their outputs and improves the reliability of future labelling activity. Better Data Labelling capability will allow for improved data driven decision making as well as supporting wider AI capability enhancement.

MOD will be holding an in-person early market engagement event where suppliers will have the opportunity to meet the programme and senior management team and find out more about the Data Labelling capability. The objectives of the event are as follows:

• Support the development and decision making around the future delivery model for the AI Data Labelling capability within MOD, including in-house/outsource boundaries;

• Make suppliers aware of the current strategic direction that MOD is pursuing in relation to Data Labelling capabilities, and how it aligns with the current Defence Artificial Intelligence Strategy; and

• Provide an opportunity for suppliers to provide feedback on delivery models and pose questions to the Authority.

Agenda

1. Arrival & Networking

2. Welcome & Purpose

3. Overview and Project Context (with Q&A)

4. Proposed Delivery Model Deep-dive (with Q&A)

5. Lunch

6. Technical & Commercial Roundtable Sessions (in smaller groups, suppliers will be able to discuss the capability in more detail and pose questions to the technical/commercial teams)

7. Wrap-up

8. Networking