Profet AI launches lifecycle management platform for AI governance
Taipei -Profet AI, an enterprise AI application provider for the manufacturing industry, has announced the official launch of AILM (AI LifecycleManagement Platform), the world’s first enterprise platform for AI governance. AILM enables manufacturers to control, manage, and propagate their core domain know-how, both internally within the company and externally to facilitate expansion to other countries orlocations. AILM aids enterprises in the early stages of the AI lifecycle by standardising the process of identifying and selecting the most suitable problems for applying AI to. It also improves the transparency of the implementation process which aids effective cross-organisational collaboration. After completing a project, it facilitates the dissemination of these AI paradigms throughoutthe organisation.AILM is the world’s first platform of its kind and positions Profet AI, as well as Taiwan, to establish the rules and standards for governing AI applications in manufacturing. The Need for AI Governance in Manufacturing Manufacturing leaders universally recognise the pressing need for AI adoption. However,according to the “Manufacturing Leadership Council’s 2023 Industrial AI in 2030 survey1,”only around 29% of companies have integrated their AI initiatives into formal plans orstrategies, despite 96% of manufacturers planning to increase investments in AI. Drawing from their experience of working with more than 160 manufacturing clients, Profet AIhas identified four common challenges that enterprises face when adopting AI:1.There is no standardised way of choosing the right problems to apply AI to.2.There is a lack of transparency in the way AI is implemented throughout It is difficult to effectively disseminate AI knowledge throughout an entire company. Although many customers already utilise AI, often departments use different methods, and this experience and knowledge are not shared. There is a lack of incentivised reward systems that encourage employees to take the initiative in learning and sharing AI implementation experiences.The motivation behind developing AILM was to assist […]