We invite you to follow the new
COALA AMBASSADOR PODCAST SERIES
The COALA Ambassador Podcast series is an initiative aimed at sharing our COALA EU project progress and findings with AI and Manufacturing Communities who want to know more more about Digital Voice Assistants for the industry and its developments in the fields of Artificial Intelligence and Manufacturing
In this first issue we’ll focus on what the COALA research project is about and on the role of the Ambassador program with the contributions of three travel companions: Stefan Wellsandt, Indah Lengkong and Jacopo Cassina, with Paolo Perillo as moderator.
COALA – COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence – is an EU Horizon 2020 funded project, which aims to develop a trustworthy voice-enabled Digital Intelligent Assistant for the manufacturing industry.
We intend to make this Podcast series a regular contribution and to use it to keep you in touch and discuss around COALA news and developments with representative of other project and initiatives related to AI and Manufacturing.
COALA will provide a solution for cognitive assistance that consists of a composition of trustworthy AI components with a voice-enabled digital intelligent assistant as an interface. The solution will support workers that need to use analytics tools and new workers that perform on-the-job training. Complementary to the technology, an education and training concept that focuses on building blue-collar worker competencies in human-AI collaboration will be developed. The COALA solution will transform how workers perform their jobs and it allows companies to maintain or increase the quality of their production processes and their products.
COALA collaborates in the AI-MAN Cluster with other eight projects that are funded under the EU H2020 ICT-38 call – Artificial intelligence for manufacturing, aiming to develop trustworthy human-centred AI in manufacturing.
AI4Manufacturing website is available with information on joint activities of the AI-MAN projects