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White-label shop for digital intelligent assistance and human-AI collaboration in manufacturing

Project description

Augmented workplace innovation to guide SMEs

In today's fast-paced business landscape, small and medium enterprises (SMEs) face a growing challenge: harnessing the power of cutting-edge software tools while ensuring their workforce can navigate them effectively. Many struggle to bridge the gap. In this context, the EU-funded WASABI project will equip SMEs with the tools and knowledge needed to elevate employee performance. Advanced user interfaces will be designed to facilitate continuous augmented hybrid-decision-making. These simplify interactions with complex software, effectively lowering the skill floor for all users. At the heart of the project’s solution lies the Digital Intelligent Assistant (DIA), an anthropomorphic, task-oriented AI with a conversational interface. DIA is designed to guide SMEs, ensuring hands-free, eyes-free computer interaction, AI-based advice, and augmented analytics.

Objective

WASABI aims at providing SMEs with the tools and knowledge to improve workers capacities and performance, providing advanced user interfaces for continuous augmented hybrid-decision-making. Such interfaces assist employees in interacting with complex software, effectively reducing its skill floor. In consequence, humans will find using software easier and be more open to applying it effectively at work. WASABI’s advanced interfaces will cover, for instance, situation analysis, intervention identification, action planning and execution, and impact monitoring and mitigation. One of the key technologies in WASABI’s solution portfolio is the digital intelligent assistant (DIA) - an anthropomorphic, task-oriented AI with a conversational interface. A network of DIHs that will help boosting impact by guiding SMEs in this new path will be created and integrated within other existing DIH networks. Our customized, federated, white-label shop will include such DIAs and skill-packages to help organizations reach their sustainability goals. Blue-collar and white-collar workers will be capable of using it for hands-free or eyes-free computer-interaction, AI-based advice and guidance, and augmented analytics.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2022-TWIN-TRANSITION-01

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Coordinator

CONSULTORES DE AUTOMATIZACION Y ROBOTICA SA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 93 437,50
Address
CARRETERA ASUA LA AVANZADA 6
48930 Getxo Bizkaia
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Noreste País Vasco Bizkaia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 155 729,16

Participants (18)

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