Author Archives: Pranjal Ostwal

As humans, we generally spend our lives observing our surroundings using optic nerves, retinas, and the visual cortex. We gain context to differentiate between objects, gauge their distance from us and other objects, calculate their movement speed, and spot mistakes. Similarly, computer vision enables AI-powered machines to train themselves to carry out these very processes.Continue reading “How Training Data is prepared for Computer Vision”

Artificial Intelligence has stepped up to the front line of real-world problem solving and business transformation with Intelligent Document Processing (IDP) becoming a vital component in the global effort to drive intelligent automation into corporations worldwide. IDP solutions read the unstructured, raw data in complicated documents using a variety of AI-related technologies, including RPA bots,Continue reading “Intelligent Document Processing Workflow and Use cases”

If you have ever worked with a Machine Learning (ML) model in a production environment, you might have heard of MLOps. The term explains the concept of optimizing the ML lifecycle by bridging the gap between design, model development, and operation processes. As more teams attempt to create AI solutions for actual use cases, MLOpsContinue reading “MLOps and ML Data pipeline: Key Takeaways”

The finance sector is driven to make a significant investment in natural language processing (NLP) in order to boost financial performance by the quickening pace of digitization. NLP has become an essential and strategic instrument for financial research as a result of the massive growth in textual data that has recently become widely accessible. ResearchContinue reading “How NLP can increase Financial Data Efficiency”

Unmanned Aerial Vehicles (UAVs) have created great ease in a number of operations and across various industries. Integrating the latest technologies has allowed for higher levels of reliability and a more reassuring degree of trust in the use of UAVs. in the air. It also enables drones to capture and identify obstacles in real-time andContinue reading “Computer Vision and Data Annotation: Leading the way for Drone AI”

Autonomous vehicles are still working towards reaching the stage of full autonomy. A fully functioning and safe autonomous vehicle must be competent in a wide range of machine learning processes before it can be trusted to drive on its own. From processing visual data in real-time to safely coordinating with other vehicles, the need forContinue reading “Data Annotation Types to execute Autonomous Driving”

The spoken words you use in regular interactions with other people are known as natural language. Machines could not comprehend it not long ago. However, data scientists are already working on artificial intelligence systems that can comprehend natural language, opening the door to enormous potential and future advances. What is Natural Language Processing? Software withContinue reading “Training Data for Natural Language Processing”

A chatbot is an AI-powered software that can effectively communicate with people in a lucid and intelligent manner. A chatbot stimulates communication through messaging applications, websites, mobile apps, or smartphone assistants like Ok Google or Siri. Thus, a chatbot represents the closest interface of communication between a man and a machine. This article will helpContinue reading “Different types of Chatbots driving Automation”

Training data is the key input to machine learning and having the right quality and quantity of data sets is important to get accurate results.  In the planning stages of a machine learning problem, the team is usually excited to talk about algorithms and deployment infrastructure. Much effort is spent discussing the tradeoffs between variousContinue reading “What is Good Quality Training Dataset for Machine learning”

Due to the development in the use of unstructured text data, both the volume and diversity of data used have significantly increased. For making sense of such huge amounts of acquired data, businesses are now turning to technologies like text analytics and Natural Language Processing (NLP). The economic value hidden in these massive data setsContinue reading “Text Analytics: Unlocking the power of Business Data”