What is LLM? LLM is a type of artificial intelligence algorithm that uses neural network techniques to understand human language or text using self-supervised learning techniques. LLM is purely based on deep learning Methodologies. Deep Learning Deep learning is changing how machines understand things, learn and interact with complex data. Deep learning uses neural…

What is Edge Computing?  Edge computing is a decentralized computing paradigm that brings data processing closer to the source of data generation rather than relying solely on centralized cloud computing. This approach reduces latency, saves bandwidth, and enhances real-time decision-making by processing data at or near the edge of the network—such as IoT devices, sensors,…

The New Era of AI Agents: How They’re Changing the Game  “An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators.” - Stuart Russell & Peter Norvig From their textbook Artificial Intelligence: A Modern Approach (3rd Edition)  Artificial Intelligence (AI) has evolved far beyond simple…

Definition Predictive analytics is the branch of advanced analytics that utilizes thealgorithms, historical data and machine learning to identify trends and to predict what will happen in the future. It enables organizations to become proactive,forward-looking, anticipating data-based outcomes and behaviors rather than hunching or assumptions. Analytics, which use statistical models and forecasting techniques to understand…

Definition Prescriptive Analytics is the data analytics area which focuses on finding the best course of action in a scenario given the data available. Specifically,prescriptive analytics factors information about possible situations or scenarios,available resources, past performance, and current performance, and suggests a course of action or strategy. Its aim is to find the best solution…

Definition Descriptive Analytics is the field of statistics that focus mainly on gathering and summarizing raw data that is easily interpretable by humans. They are the analytics that describe the past. They are very useful because it allows us to learn from past behaviors and understand how they might influence future outcomes.Analytics, which use data…

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data at same time, at massive scale on industry standard hardware.  It's at the center of an ecosystem of big data technologies that are primarily…

Xpath: XPath is used to query selected nodes from an XML document.and used to navigate through elements and attributes in an XML document.XPath stands for XML Path Language. XPath uses “path like” syntax to identify and navigate nodes in an XML document. XPath contains over 200 built-in functions. XPath is a major element in the XSLT…

What is Data visualization? Data visualization, an Vague field, now has risen to a Omni presence in terms of Business intelligence and Data journalism.Data visualization is a geographical representation of information and data gathered. By the utilization of visual elements like charts, graphs, maps and data visualization tools making an ease understanding of data or…

Utility analytics plays an immense role in demand and production. The next advantage is gathering consumer insights and finding analytic capabilities indispensable in resolving business challenges. Utility analytics plays a vital role in order to be a leader in the industry and not to fall behind. Utilities have always analyzed data to improve the operation…