IoT

La sensoristica IoT trasforma un distributore automatico in una macchina smart, che dialoga con il cliente per offrigli la migliore esperienza d’acquisto possibile.

Con la data monetization – la monetizzazione dei dati, ovvero il processo di analisi strategica e di implementazione pratica che consente di utilizzare i dati come fonte di ricavo – le aziende possono trasformare i dati raccolti in valore monetizzabile esattamente come per gli altri beni. Di fatto, la data monetization diventa una strategia che permette alle imprese di recuperare in modo virtuoso gli investimenti effettuati su infrastrutture, sistemi e piattaforme IoT e IIoT, accelerando il loro percorso evolutivo e disegnando nuovi scenari di business.  

Perché un’impresa manifatturiera oggi, così come qualsiasi altra organizzazione, dovrebbe intraprendere un percorso di trasformazione data-driven? Nel 2020, una ricerca condotta da Statista ha misurato un aumento del 12%, rispetto al 2018, nell’adozione del data-driven approach a livello globale nel processo decisionale. Ecco che cosa spinge questo cambiamento.

Edge computing solutions in industrial settings are poised for rapid growth and innovation, driven by the need for real-time insights and localized action. I&O leaders must tread cautiously as vendors begin to collaborate and provide solutions based on temporary and opportunistic alliances.

SECO is named among the Representative Edge Computing Vendors focused on Industrial IoT.

In the paper we present the design and development of the Machine Learning (ML) modules for two case studies. In both cases we developed a ML model to learn the system’s normal behavior so to identify whichever abnormal condition may arise. Such a framework is usually referred to as Anomaly Detection (also known as Fault Detection or Novelty Detection). Our models succeeded at identifying the injected anomalies. In addition, no anomalies were observed when the model was fed with normal data. The results are discussed considering the trade-off between type of sensors, learning algorithm, training effort, computational demands.

Industrial IoT gateways are moving from simple devices that bridge OT and IT networks to intelligent edge-computing systems that can learn, react and control edge environments. I&O leaders must choose IIoT gateways that are modular and meet specific safety, security and performance requirements.

SECO is listed among the Representative Gateway Appliance Vendors.

According to Gartner, "Edge computing has moved from IoT-focused to a broadly considered complement to the more centralized hyperscale cloud. The edge role in distributed cloud and digital business ensures that despite the nascent market, technologies and architectures, edge computing is here to stay."

SECO is mentioned in the list of Industrial IoT Gateways Samples Vendors.