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Experience in support of innovation

The programme builds on the established expertise of the most advanced companies and promotes the sharing of best practice within the community

What is forgIA Leadership Initiative?

forgIA Leadership Initiative focuses on the support and mentoring activities developed within the forgIA Ecosystem and aims to help companies move from experimenting with AI tools to their actual, scalable adoption.

The programme, designed for business executives, digital managers and IT managers, consists of a series of sessions with experts who have already implemented artificial intelligence technologies within their own organisations, having personally tackled the critical issues, organisational complexities and technical challenges associated with this type of transformation.

Sharing these real-life experiences (use cases, mistakes, successes and lessons learnt) creates a shared body of knowledge that enables less experienced companies to navigate the process with greater confidence.

The initiative is organised in collaboration with leading partners, including AUSED, which contributes its network of expertise in the execution of projects related to the adoption of Artificial Intelligence.

Areas of Mentorship

AI Strategy, Governance & Value Realization

It defines the organisation’s AI adoption strategy, governance models and investment priorities. It encompasses AI roadmaps, use case portfolio management, compliance, risk management and the measurement of value generated.

AI Architecture & Secure

Use of AI for technology architecture design and cybersecurity. This includes data platforms, cloud and on-premises infrastructure, cybersecurity, model protection and integration with IT systems.

AI-Augmented Development & Intelligent IT/OT

Use of AI to boost productivity in software development and the automation of IT and operational systems. This includes AI-assisted development, digital process automation and intelligent integration between IT and OT systems.

AI for Enterprise Applications & Customer Platforms

Application of AI in core business systems and customer relationship platforms. This includes ERP, CRM, e-commerce and digital platforms to improve decision-making, process automation and the customer experience.

AI for Smart Manufacturing & Industry 4.0

Use of AI in industrial processes to improve production efficiency, quality and resilience. This includes the analysis of factory data, predictive maintenance, the optimisation of production processes and integration with MES/MOM systems.

AI for Supply Chain & Intelligent Planning

Use of AI to make supply chain planning and management smarter. This includes demand forecasting, stock optimisation, advanced production planning and end-to-end visibility of operations.

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