DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 11 Issue 1 Date of Publication:   June 2022

Conversational Ai And Artificial Neural Networks

AnaghaPDixit,AmruthaSRao, Padmachandana N, Smrithi S

Page(s):   11-14 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.011.001.002 Publisher:   Integrated Intelligent Research (IIR)

Augmented intelligence is revolutionizing the waybusinesses function on a day-to-day basis. ChatOps are one suchexample of how simple queries and activities, such as customerengagementorsalesoperations,can be handled without the involvement of a human. Chat Ops is the synthes is of client queries and an instantaneousinformationalexchangeinstrumentthatfacilitatesdevelopmentofsoftwareandoperationalmethodsinits transmission and execution. These are low-cost, computer-assistedprogramsthathelpincustomerserviceandanymodel of people management. ChatOps offer support at clients’convenience,irrespective of location hence an appeal to amultitude of people. Such a tool is reconstructing the way data isperceived,preventing it sover load and distilling information down to the most needed and practical elements. ChatOps inherentlymeans Conversational AI which uses NLP and other algorithmsthat compliment it and implements its functionalities. The bot istrained by having various intents as inputs, which provide the standard for the automated response. Alarge corpus of user input she lps the AI toget better at predictions and pattern matching. The more number of such inputs, the better trained machine model availabletouse.The intentslieonalargespectrum that could start off as simple chit chat to complicated instructions,while maintaininganinteractiveandcontinuousconversationflow.