Everything you need to know about Generative AI in Manufacturing

AI in Manufacturing; 2023 Predictions

As we look ahead to 2023, we asked the team at Vanti to make their predictions of AI in manufacturing in 2023:


Smadar, CEO – AI-Powered applications will become the go-to solution for manufacturing.

AI applications, such as ChatGPT and Dall-E, have gained widespread adoption in other industries, and we expect this trend to continue in manufacturing as well. AI-powered applications will become more popular and will replace the need to build AI from scratch. These applications will cover a wide range of use cases, including predictive quality, process optimizations, and more, in addition to the already popular predictive maintenance applications.


Niro, CTO – Adaptive AI will become a necessity.

As AI becomes more prevalent in manufacturing and other industries, adapting to changing conditions and environments will become increasingly important. Gartner has identified adaptive AI as one of their top 10 strategic technology trends for 2023, highlighting the need for AI to adapt to change. In the dynamic manufacturing industry, where materials, processes, and demand can fluctuate daily, it will be critical that AI-based applications can adapt and continue to function effectively.

The recent commoditization of GenerativeAI will make its way into more traditional industries and will take on the role of synthetic data generation. This will serve companies as they complete their transformation to become digital-first data-driven manufacturers. 


Ami, Data Science Lead – Federated Learning, will be a force multiplier for global manufacturing.

Federated learning will allow global manufacturers to enjoy the distributed custom application of AI at each site, product, or edge device,  while still cross-pollinating insights and predictions across similar products globally. This technology will allow a central common AI to serve as a base for localized tailor-made AI at the point of decision. 


Gil, CMO – Predictive quality will be the new focus.

While predictive maintenance has been a key area of focus for AI in manufacturing, we believe that 2023 will be the year of predictive quality. Predictive quality focuses on the health of products and processes rather than the health of assets. By using predictive quality, manufacturers can ensure that overall performance in terms of throughput and quality is maximized. This can be achieved through simple AI-driven visual inspection or through more complex AI models that use multiple data points from the production line to predict end-of-line quality and enable fast reactions to issues mid-line. Predictive quality has the potential to significantly improve manufacturing outcomes and drive significant business value.