Cognitive Technical Support       


Cognitive Technical Support - overview


The Cognitive Technical Support department is focused on reimagining the world of IT services entrenched by AI, deep learning and cognitive technologies.  Our goal is to infuse cognitive technologies powered by Watson into the domain of IT services that are delivered via a mix of private, public and hybrid cloud based technologies.  We develop AI solutions and services intended for customer helpdesk operations, troubleshoot and triaging as well as preventive maintenance.

What comprises IT Support?

IT support is needed across the spectrum of service management beginning with customer help-desk where the problem is first reported, to the technical support agents who troubleshoot and triage to keep the infrastructure/applications up and running, all the way to the autonomous self-monitoring IT systems that can detect problems and self-heal to prevent future problems.  Traditionally this industry has been extremely human intensive mainly due to the complexity of tasks involved in maintaining applications and IT devices (servers, storage, network etc.).  However, the complexity of IT systems, their sheer scale and the large combinations of operating systems, middleware and applications that comprise any given managed system therein make automated service management a very hard research problem.

How can Cognitive Technologies Help?

A cognitive IT support system is defined as one that: (a) can diagnose problems related to  the IT entities  when they occur or can predict them before they will occur, (b) discover root case analysis of the problem and can resolve them automatically and (c) can learn and improve its understanding and resolution over time. Our aim is to build such a support system that has the following components:

  1. Mines  terabytes of operational day that are generated by IT entities every day to build machine learning models that detect patterns of failures
  2. Mine human conversations to correlate the learnt patterns to the operational data , the diagnosis of the root cause and finally to resolution actions
  3. Codify and store all the knowledge, patterns and insights in the form of IT knowledge graphs
  4. Create cognitive assists that use natural language understanding/AI and the codified knowledge graphs to aid the tasks of all human touch points in the system.

Team Updates

  • Congrats!CitiCafe: Conversation-Based Intelligent Platform for Citizen Engagement” by Amol, Anwesh, Shubham, Prateeti, Pooja and Gargi has been accepted at CODS-COMADS 2018.
  • Congrats!FuTSe: A Fuzzy Taxonomy Service to Facilitate Product Search” by Prateeti, Anupama and Gargi has been accepted at CODS-COMADS 2018.
  • Gargi delivered a keynote at ACM Women in Computing in SRM University, Chennai on "Cognitive computing and its applications" on Sep.11th to 13th, 2017
  • Anupama and Sethu delivered a talk on "Cognitive Computing - Applications and Demonstrations" at the FDP by IEEE CIS, Bangalore@MSRIT on July 31, 2017
  • Congrats!Continuous Learning as a Service for Conversational Virtual Agents” by Shivali, Shubham and Gargi has been accepted at ICSOC 2017 in Malaga, Spain
  • Our team on News - IBM Delivers First Cognitive Services Platform to Transform Business

Latest Blogs

Creative AI: The Future - Part 2
Chandresh Maurya, June 5, 2017

Virtual Agents: Learning on the job
Shubham Atreja, April 30, 2017

Noob’s 5-point guide to build robust chat bots
Sethuramalingam Subramaniam , April 27, 2017

How Technology can Transform Customer Care
Gargi B Dasgupta, April 22, 2017