--- title: "Future Forces - Navy AI/ML event" ocid: "ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb.json" source: "Contracts Finder" current_stage: "Planning" buyer: "MINISTRY OF DEFENCE" published: "2022-02-03" --- # Future Forces - Navy AI/ML event Buyer: MINISTRY OF DEFENCE Current stage: Planning OCID: ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb.json) ## Summary The Ministry of Defence is currently in the planning stage for a tender titled "Future Forces - Navy AI/ML event" aimed at advancing capabilities within the Royal Navy through the use of Artificial Intelligence and Machine Learning. This initiative is set to take place in Portsmouth on the 25th of February 2022, running from 09:00 to 14:00. A key engagement milestone is the end date for industry engagement, which is scheduled for the 17th of February 2022. This procurement falls under the software package and information systems category, and additional classifications include business services related to law, marketing, consulting, recruitment, and security. This tender presents significant opportunities for businesses specialising in AI, ML, software development, and related consulting services. Companies that can provide innovative solutions in areas such as data fusion, target identification, and supply chain management will be well-positioned to compete. The emphasis on collaboration between the Royal Navy and industry opens avenues for small and medium enterprises (SMEs) to contribute to groundbreaking advancements in maritime operational capability, particularly those with expertise in developing autonomous systems and enhancing decision-making processes through technology. ## Notice The Royal Navy Develop Directorate, in collaboration with the Forces Focus programme, will host a Live roundtable discussion for industry to develop understanding of how Artificial Intelligence and Machine Learning can be used to progress capability within the new Maritime Operating Concept. The event will take place in Portsmouth on 25 February 2022 between 0900 and 1400. Discussions will be limited to Official level discussion only. The new Royal Navy Maritime Operating Concept requires a step-change in networked and distributed sensors to enhance operational modular capability. Autonomous systems, and the digital backbone required to exploit them, are critical to this, with Artificial Intelligence and Machine Learning key for rapid intelligence analysis and decision advantage. The developments required are significant and must be done in partnership with industry. The Royal Navy needs to understand the full scale of possibilities, as well as the proven shortfalls and risks, and the Forces Focus audience can significantly speed up development. This event is industry's opportunity to understand the objectives and target specific areas to engage with. Topics for discussion will include, Data Fusion, Target Identification and Prioritisation, Decision Advantage, Training Systems, Engineering and Supply Chain Management and Human-AI Trust. Please see the attached PDF for more information. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/6103c314-0f43-481c-b301-ba423ecc7ef8 | | Notice type | Market Engagement Notice | | Procurement type | Standard | | Procurement category | Not specified | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | SME | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 3 Feb 2022 | | Submission deadline | Not specified | | Future notice date | 17 Feb 2022 | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planning | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | MINISTRY OF DEFENCE | | Locality | PORTSMOUTH | | Post town | Portsmouth | | Postcode | PO2 8DX | | Country | England | | ITL 1 | TLJ South East (England) | | ITL 2 | TLJ3 Hampshire and Isle of Wight | | ITL 3 | TLJ31 Portsmouth | | Local authority | Portsmouth | | Electoral ward | Nelson | | Westminster constituency | Portsmouth North | | Delivery location | TLJ South East (England) | ## CPV Codes ### Divisions - 48 - Software package and information systems - 79 - Business services: law, marketing, consulting, recruitment, printing and security ### Codes - 48000000 - Software package and information systems - 79000000 - Business services: law, marketing, consulting, recruitment, printing and security ## Release History - 3 Feb 2022 at 11:54 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/6103c314-0f43-481c-b301-ba423ecc7ef8 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/6103c314-0f43-481c-b301-ba423ecc7ef8 3rd February 2022 - Early engagement notice on Contracts Finder - https://www.contractsfinder.service.gov.uk/Notice/Attachment/54279692-c459-4983-8dcb-9a4d6328620a n/a ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-fe187351-e882-42b2-8de0-27c3fb48ebfb.json.