India's largest platform and marketplace for GCCs & AI

Sign in

India's largest platform and marketplace for GCCs & AI
Become a Thought Leader
Become a 3AI Member

Sign in

3AI Digital Library

< Go Back

AI driven Contextual Anomaly Detection & Risk Mitigation

3AI May 1, 2022

Sudharshana Bharathi
Group Chief Internal Auditor
Suhail Bahwan Group

As businesses produce more data than ever before, the timely spotting of anomalies becomes crucial in pre-empting business risks and can become a competitive advantage in the detection and prevention of fraudulent activities. It is imperative for businesses to explore AI driven contextual anomalies to help stay alert about hidden trends in data. Detecting anomalies and responding in a timely manner using cutting-edge machine learning techniques in conjunction with modern cloud data architectures is becoming a differentiating factor for business success.

Tune into this session as Sudharshana Bharathi will be sharing his experience in deploying supervised and unsupervised machine-learning techniques and data orchestration in the cloud to enable anomaly detection.

    3AI Trending Articles

  • How Augmented Analytics is Transforming the Analytics Ecosystem

    Author:  Sidharth Sivasailam, Vice President – Products, Course5 Intelligence | LinkedIn – https://www.linkedin.com/in/sidharthsiva/ The world of Business Analytics is at an inflection point. Trillions of bytes of data are being generated every day; however, companies continue to struggle with harmonizing this data, analyzing the data of various shapes and sizes they are storing, determining what’s […]

  • Can modern AI systems solve any problem on their own?

    Featured Article: Author: Puneet B C, Data Scientist – Computer Vision, AIRBUS First, let’s briefly understand what AI is. Artificial Intelligence is basically an algorithm or a rule that is used to make decisions automatically. Making a decision is to generate a desired output for the given input. In order to achieve this, the algorithm […]

  • Data Governance: Three trends in 2021

    In 2021, the focus of financial services will be inclined to enable digital customer journeys as well as to sustain and grow revenue streams.   Actively governing data will make managing it more formalized thus making it more available, less complex to understand, and protect the customers’ data rights. Three principles and associated formalized dimensions […]

  • Towards a Responsible Future – Decoding the Importance of Ethics in AI

    Featured Article by Anusha Thakur The conjunction of the obtainability of vast amounts of stretch, speed, and big data for the development of machine learning algorithms and cloud computing platforms has led to a varied range of innovations in Artificial Intelligence (AI). In an era defined by state-of-the-art technologies, the role of AI systems, and […]