What exactly the software estimation is and why it’s so important? Cost estimation is very important element of software development process & it helps enterprises to make cost-effective business decisions. However 50% of the time effort & cost estimations get wrong that results into overshooting of cost and efforts of the project. We generally estimate…
Category: IIoT (Industrial IoT)
Why Digital Transformation in manufacturing industry takes place very slowly or sometimes even fails?
As we all know, digital transformation is the novel use of digital technology to accelerate business strategy of an industry. In other words, it is the application of digital technologies to empower people, optimize processes and to automate systems of the industry to achieve a step-by-step change in business performance. It’s no longer surprising news…
Industrial Modern Data Acquisition System (DAS) with Edge, Data Lake and Data Analytics Solution using AWS
Industrial DAS with Edge and Data Lake using AWS Below reference architecture provides a baseline of integrating Bosch’s DeviceBridge DAS (Data Acquisition System) and Indus Visualizer with AWS services, which yields modern industrial IoT solution addressing Connect-Collect-Consume layers to full extent. You must first understand what is DeviceBridge. It is explained below… DeviceBridge is a…
Azure HDInsight and Azure Databricks – When to choose one over the other
Azure HDinsight Azure HDInsight is a cloud distribution of the Hortonworks Data Platform’s (HDP) Hadoop components. Azure HDInsight essentially brings both Hadoop and Spark to the same table to help enterprises manage both easily using several tools. This platform also offers a standard notebook experience by providing support for Jupyter and Zepplin. Azure HDInsight is…
Leveraging capabilities of NLP in manufacturing industries
Let us first try to understand what is NLP? How it relates to AI-ML subject? Natural Language Processing (NLP) is a broad and rapidly evolving segment of today’s emerging digital technologies, often generalized as Artificial Intelligence (AI). Wikipedia defines NLP as “a subfield of AI concerned with the interactions between computers and human (natural) languages,…
Factory robot can learn on its own and improve its efficiency and accuracy overnight. How?
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…
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…
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…