Payal Shashank Paranjape

Abstract Consistent asset health across various levels, from cell sites to regions, is crucial for telecom carriers to ensure ongoing operations. However, proactively detecting aberrant patterns such as equipment breakdown remains a significant problem. This article, based on Subex’s extensive implementation expertise, covers the key processes required to instal effective pattern detection solutions. It also […]

Conversational Artificial Intelligence (or Conversational AI) is a set of technologies underpinning automated messaging and speech-enabled systems that enable human-like interactions between computers and humans. Conversational AI refers to any computer that can be spoken to and is most commonly encountered today via chatbots and voice assistants.   What is the definition of Conversational AI? […]

The financial sector is facing an increasingly complex and competitive landscape, and one way that banks and financial institutions are responding is through the use of artificial intelligence (AI). With the ability to analyze large amounts of data, identify patterns, and automate processes, finance AI is proving to be a valuable tool for improving efficiency […]

Artificial intelligence has profoundly affected almost every business, including banking and finance. The integration of AI in banking apps and services has made the sector more customer-focused and technologically relevant. AI-based solutions can help banks save money by enhancing efficiency and making judgements based on data that a human agent would find incomprehensible. Furthermore, intelligent […]

Machine Learning Operations (MLOps) is a critical component of modern machine learning (ML) workflows. MLOps is an approach that seeks to optimize the process of building, testing, and deploying ML models, ensuring that they are efficient, scalable, and reliable. In this blog post, we will examine the advantages and drawbacks of using MLOps in your […]

Artificial intelligence (AI) and machine learning are used in the financial industry for a range of applications, including task automation, fraud detection, and chatbot assistants. According to a recent AI in Banking survey, the vast majority of banks (80%) are well aware of the potential benefits that AI may provide. The usage of artificial intelligence […]

MLOps is a technique that makes use of automated model training techniques across the machine learning pipeline. MLOps is helpful in making the shift from manually running a few ML models to rapidly scaling ML models throughout the whole business process. In this post, we’ll go over some of the major ideas behind how MLOps […]

Preparing the data, analysing it, and then training the model is referred to as the MLOps cycle in the context of the model training pipeline. The MLOps pipeline’s model training is frequently automated using AutoML features built into this iterative or interactive model. What is MLOps pipeline automation? In an MLOps automated training model, pipeline […]

Over the past few years, AI has made its way to every boardroom discussion. Be it giants like Google, Netflix, or Amazon or small and medium businesses; everyone has benefitted from AI. While many companies have rolled out successful proofs-of-concept and have even been successful in deploying AI in production, there are still some challenges […]

Data is the ultimate means of making excellent decisions, and why not? It helps determine the problems and challenges as they come our way, highlights opportunities, and helps see transformations, so we can work towards the desired goals. As data becomes more convoluted with every passing moment, managing it and extracting valuable insights using traditional […]