As an initiative of the BigDataGrapes project (http://bigdatagrapes.eu/), KU Leuven and Agroknow are organizing a webinar on: "Predictive Analytics for Food Risk Prevention: Towards visually appealing & highly interactive predictions"
As an initiative of the BigDataGrapes project (http://bigdatagrapes.eu/), Agroknow, on 15 of January 2021, organized a virtual panel discussion on: “Predictive Analytics for the Food Supply Chain”.
In the BigDataGrapes project we deeply understand that both technology and predictive analytics are critical for the future of food safety. Determining which predictive analytics techniques work best for a particular challenge is the key to making the most of a predictive analytics solution.
Predictive analytics sound very promising and provide an asset to build a robust proactive strategy and prevent food safety incidents that can negatively affect brand trust and reputation. This innovative technology can assist in easing the food company’s decision-making process, by reducing the stress of uncertainty.
As an initiative of the BigDataGrapes project (http://bigdatagrapes.eu/), Agroknow is organizing a virtual panel discussion on “Predictive Analytics for the Food Supply Chain” to be moderated by Dr.
The deep-understanding of predictive analytics work and the way they assist in critical-business decisions can be difficult to comprehend. But the latest short video series of the BigDataGrapes project is aiming to end this struggle.
We have been told that predictive analytics are cool. The truth is, they are. They are also a hot topic in the food sector, especially in terms of food safety challenges. These challenges need to be addressed to generate reliable predictions and many different choices need to be made regarding data, algorithms, metrics, etc.
The 6th Project Meeting of the BigDataGrapes project was successfully organized virtually on 4th and 5th of November 2020. BigDataGrapes aims to support European companies in the wine and natural cosmetics industries in order to respond to the significant opportunity that big data is creating in their relevant markets, by pursuing two ambitious goals:
In a previous post, we emphasized on the importnace of the use of FOODAKAI software in the BigDataGrapes project, as it provides critical big data to us. Nowadays, the FOODAKAI Global Predictions Dashboard is getting better and new, useful features are added, to help Food Safety and Quality Assurance professionals prevent food safety incidents from happening.
Predictive analytics are so cool.
Nowadays, you can find their application in many sectors, for many critical business decisions. Everyone seems to be discussing the so-called ‘Prediction Machines’ that promises to enhance any type of software system with cheap and easy-to-use AI algorithmic power.
BigDataGrapes
