India's largest platform and marketplace for GCCs & AI

Sign in

India's largest platform and marketplace for GCCs & AI

3AI Digital Library

All Pervasive Analytics and AI – The Disparate Facets

3AI January 30, 2022

Swati Jain
Vice President
EXL

Being the buzzwords of the decade, Analytics and Artificial Intelligence (AI) have now become a must-have to enhance experiences, improve productivity and enable greater autonomy. Analytics has occupied the CenterStage impacting each organizational function and can be a key differentiator for increasing campaign ROI, enriching customer journeys, managing risk or making operations efficient.

To leverage the power of Analytics and AI, it is imperative for professionals to holistically understand the different facets of analytics and identify the right use cases for the organization. Login to this session to hear from Swati on how companies leverage the analytics value chain (descriptive, diagnostic, predictive, prescriptive and cognitive) to improve organizational KPIs and drive business outcomes. Know more about how companies are leveraging analytics across marketing, risk and operations functions with key use cases of Analytics & Ai across industries and the key metrics to success of an analytics engagement.

    3AI Trending Articles

  • Conquering the Supply Chain with Machine Learning

    Featured Article: Author: Arpit Vijaywargia, AB InBev Supply chain is the process of managing the flow of goods, it’s an important process that involves the coordination of various stakeholders including suppliers, manufacturers, distributors, retailers and used goods. It is an essential part of business operations, and good supply chain management can help organizations increase efficiency, […]

  • Automated Quality Excellence Framework for Data Science Modelling

    Featured Article: Author: Abhishek Sengupta, Walmart Global Tech India Introduction:  A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]

  • Understanding Language Model Evaluation Metrics: A Comprehensive Overview

    Featured Article: Author: Mradul Jain, AB InBev Large language models, such as GPT, Llama, Bard, etc. have gained immense popularity for their ability to generate coherent and contextually relevant text. Evaluating the performance of these models is crucial to ensure their reliability and utility. To accomplish this, a range of metrics have been developed. In […]

  • Creating the Bridge of Translation between AI Technologists and Business

    Featured Article: Author:  Abhishek Tandon, Director, Customer Success for Fosfor, LTIMindtree Like we saw in the previous article “Crossing the AI Adoption Chasm“, there is a big gap in the objective of the technologists driving the AI project and the business user seeking value from it. This gap is causing major adoption issues as both […]