Emerging technologies are everywhere and changing how we do so many things in business and life. Using deep learning to perfect the art of champagne-making should not be a surprise to anyone. This interesting topic came to us from Analytics Insight in their article, “Champagne Predictions with Deep Learning Model! Data Gets the Answer.”

Working with a deep learning predictions datasets specialist and a mathematician, one winemaker started to develop a deep learning model that combined historical meteorological datasets, soil and plant conditions for each grape variety, timings of major seasonal events like de-budding, blossoming, ripening and harvesting, and lab testing of the grapes and the wine itself.

Deep learning prediction is a model that can predict the strength of a season even as it unfolds, by adding an element of statistical prediction vs. the traditional slow, intuitive one that manifests in the taste of months.

The real challenge is helping organizations and winemakers understand the technology and how the results are applied in various fields. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.