Deep Reinforcement Learning algorithms for Robots These days, Deep Reinforcement Learning algorithms are used in factory robots to make them learning from mistakes on their own without needing to write any new AI/ML program. This way, self learning by Robots is claimed to be happening within overnight. Which means that, after eight hours or so…
Category: Industry 4.0
Automated visual quality inspection using AI/ML in manufacturing industries that reduces scrap/rework costs
Role of AI/ML in manufacturing to reduce costs associated with scrap and rework In manufacturing, automatic visual quality inspection harnesses the power of AI, IIoT, and image recognition to help manufacturers improve product quality while significantly reducing the costs associated with scrap and rework. Let us first understand what is visual quality inspection in manufacturing?…
How much training data is normally required for developing successful AI/ML based prediction systems?
Training data is the key input for ML algorithms. Having the right quality and quantity of data is very important to get more accurate results. The larger the training data available with you, more accurate the output of ML algorithms when used for real-life predictions. But the question now is; how will you decide how…
System integration complexities and challenges in manufacturing industry solutions
The manufacturing industry is undergoing technological transformation, but progress has been slow.! It is called as smart manufacturing solution which has the intelligence to solve problems and make quick decisions taking into account customers’ expectations and their subjectivity. It must be — self-adaptable (ability to detect abnormalities and taking decisions to recover from them), self-improving…
Why enterprises are moving their IT solutions back from public cloud to on-premise / private cloud?
Is cloud deportation (or repatriation) real trend? Yes, many industries are really moving significant amounts of their workloads back to on-premise network. They are preferring to move back to either local data centers or private cloud for various reasons. Until recently, if you weren’t in the cloud, you were nowhere. Companies were racing to move…
How to implement security across internet facing APIs and organization’s internal APIs that are hosted in on-premise and Azure cloud?
You must have come across the scenario in your IT solution where customers have asked you to implement security layer across internet facing applications and organization’s internal applications. Main challenges we generally overcome are like below… Internal and external apps must be well differentiated (not mixed-up) in such a way that organization’s internal APIs must…
How Edge analytics / Edge computing works in manufacturing industries?
Edge computing keeps industries more safe. How? The cloud is not a hard requirement for Industrial IoT. You don´t necessarily need a cloud IoT platform, at least to great extent where you can secure your production & enterprise data that is being exposed to external world. Industry 4.0 is all about connecting machines, so your…