Field sensors, outside data sources, machines, assembly lines, intelligent sensors, robots and other devices generate enormous amounts of valuable data. Historically, companies have not taken advantage of this wealth of data. As more and more organizations implement such connected devices and technologies, a robust data strategy becomes paramount to utilize advanced analytics techniques and tools like ChatGPT.
With advancements in machine learning, artificial intelligence and large language data models, shifting to a data-driven decision (operating) model will provide management with forward-looking and predictive insights about the business, allowing food suppliers to optimize their working processes, enhance their decision making and strengthen their risk assessment procedures. Ultimately, this will help organizations ensure continuous business growth, boost the quality of their performance and maintain a competitive edge in an environment where cost and margin management are critical.
In this webcast, we will discuss the following topics:
- Real-time data feeds through connecting technologies
- Ability to make decisions based upon accurate, real-time data coming from a variety of data sources
- Turn reactive decision making into proactive strategies through predictive and cognitive data analysis
