Areas : speculative design , design fiction, experience design, system design , data driven ,
social internet of things , predictive learning , ethics of technology , Governance of AI ,
Human centred AI ( HAI), Philosophy, sociology.
Areas : speculative design , design fiction, experience design, system design , data driven ,
social internet of things , predictive learning , ethics of technology , Governance of AI ,
Human centred AI ( HAI), Philosophy, sociology.
Prototypes
Prototypes
OYO Hotels & Homes, a young global hotel startup,
today is the world’s leading chain of hotels, homes, and spaces. The portfolio combines fully operated real estate comprising more than 43,000 hotels with over 1 million rooms. Through its vacation homes business, the company offers travellers and city dwellers access to over 130,000 homes around the world. OYO today operates in over 800 cities in 80 countries.
OYO Hotels & Homes, a young global hotel startup,
today is the world’s leading chain of hotels, homes, and spaces. The portfolio combines fully operated real estate comprising more than 43,000 hotels with over 1 million rooms. Through its vacation homes business, the company offers travellers and city dwellers access to over 130,000 homes around the world. OYO today operates in over 800 cities in 80 countries.
Areas : Human computer interaction , user experience research, design .
Generative research, UI design
Smart Recommendations for Alarm management
Desktop App for
1. Global Alarm manager
2. Alarm manager at site level
-
The Operators take help of Digital
alarms to run an Industrial Plant
-
Alarm Configurators are responsible for mapping the alarms with values with the help of Documents and software
2. Problem: Lot of the Alarms aren't configured correctly, these
alarms ring with wrong reasons creating unsafe conditions and
alarm floods
2. Alarm Configurators are responsible for
mapping Lakhs of Alarms, they need to do the in
faster and efficiently
About the project
Overview:
Smart recommendation conceived as an offer add to the Suite of Alarm management software.
Smart recommendations is an outcome of ML/AI models working at th background
understanding nature of Bad Alarms in an Industrial plant. The model would understand
and learn the patterns of Bad ,Nuisance, Alarms.Based on the understanding the
system would recommend ways to pro-actively eliminate or take an action to
knock off or reduce the alarms .
Requirements :
1. The smart predictive recommendations from the Analytics needed a one-stop destination for
the user to consume information. The recommendations had to be prioritised, with
visibility of the recommendations available at the enterprise level.
2. The workflow from the One stop Page for recommendations also had to be joined with the
existing workflow for the alarm configuration.
My Role & responsibility :
Lead UX designer and researcher
Team & Engagement :
Product manager, Technical product manager, Software Architect, 2 Developers
Problem Statement
1. Pro-actively Eliminate bad alarms from the Alarm system.
2. Enterprise visibility of Bad alarms in the system
3. Eliminate bad alarms by applying Smart recommendations
Success/Outcome
- Improved Active engagement improved business ties with Exon Mobil
and acquired pre-orders for the solution
- Removed ambiguity in product vision
- Automated old and cumbersome processes
- Active Customer :
Aramco ( Saudi, Riyadh,UAE)
Shell (Malaysia )
Exon Mobil
Other Small/medium refineries in USA
- Market Leader with Exclusive feature of Enterprise status visibility
Project Scope
DISCOVERY RESEARCH
IDEATE CONCEPTS
DETAILED DESIGN
DEVELOPED
Sneak-Peak into design Artefacts
