Control Engineering | Bridging the artificial intelligence skills gap for machine manufacturers

The cyclic nature of artificial intelligence and machine learning (AI/ML) projects, as presented in Dimecc’s Machine Learning Academy. Courtesy: Dimecc Ltd.


Learning Objectives

  • An AI skills gap exists for ML applications.
  • For Industry 4.0 environments more AI and ML knowledge is needed.
  • Education needs to change to help AI and ML.

Artificial intelligence (AI) talent is difficult to find, and few industrial companies have enough in-house AI talent. AI will transform many jobs, and companies should give every employee the knowledge they will need to adapt to new AI-enhanced roles. AI resources help implement new business models and better services, but user acceptance is required.

During the last decade, AI design, development and implementation has expanded in many sectors. Organizations are struggling with AI business potential understanding and with finding AI talent.

A growing number of countries have recognized the opportunities provided by artificial intelligence and have prepared a national

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Bridging the gap between farm and packhouse with provenance verification technology

The uptake of new technologies to provide traceability within the fruit and vegetable industry has increased over the last few years. This is partially in response to the recent food tampering and contamination crises, but also through an industry wide recognition that good traceability systems offer many benefits to producers.

Effective traceability systems offer specific information about the movement of produce within supply chains, data about consumer purchasing habits, increased production and logistical efficiencies, opportunities for longer shelf life and the reduction of product waste. Traceability systems rely on chain of custody data to record the movement of stock within supply chains and the record of this data begins at the place where produce is allocated a scannable label or code, which typically occurs at the packhouse.

With labelling occurring at the packhouse, a traceability gap exists in the supply chain prior to this point, where produce is still loose

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