The global pandemic has persuaded a number of manufacturers to pursue an AI-driven transformation of their operations, according to studies by Cap Gemini and the Boston Consulting Group. What has been noticed is the way in which they are combining human experience and insight with AI tools to find ways to differentiate themselves from their competitors.Read More
The model should conform to these assumptions to produce a best Linear Regression fit to the data.Read More
AI’s presence in production has been scant, but not without momentum. One such industry that is adopting AI is the cement manufacturing sector. The challenges faced by the cement industry are many. To name a few; high energy consumption, rising costs, process complexity that is inherent to the industry.Read More
We demonstrate an efficient method for simultaneously tuning discrete and continuous hyperparameters for machine learning models using policy gradients.Read More
Tabu Search is a popular algorithm used to optimize a multi-parameter model that can yield exceptional results. Although the implementation is not trivial and requires tuning, it is capable of solving a wide variety of problems once it is created.Read More
Your CRM has messy data. Sales teams are getting irrelevant prospects. Marketing is making embarrassing mistakes. Reports keep giving incorrect insights. You introduce more processes. You invest. More marketing budget allocated. More resources are added.
Sounds all too familiar? You’re not alone.
The food industry is one industry where robots will have a profound impact. In many ways, they are already starting to do so. As such, here are 7 instances where robots are already being used in the food industry, from manufacturing all the way to front-end customer service.Read More