Submissions for MLOps November edition
On ML workflows, tools, automation and running ML in production
Sayed Adil Hussain
To deliver insights at the speed of thought, instead of requiring the need through dashboards, applying filters / or asking analysts - We at Mahindra & Mahindra, have developed Genie for Analytics, a voice-enabled analytics conversational assistant.
This Engine has been a first-of-its-kind, cutting edge work in Mahindra. It integrates natural language processing, query processing and natural language generation in a single interface to provide answers to analytics questions asked in simple English (text , voice) - in form of charts, tables and voice. The back end architecture, is sitting on bed rock of AI based Deep Learning Natural language & Search algorithms talking to internal databases.
The engine has been built on three principles:
• Personalization - Personalized In-sights basis user behaviors & Role
• Search Engine - Single source for analytics
• Maturing Analytics - including moving into exceptions, predictive & prescriptive
It empowers front-line HR employees, to deep dive in their data, make multiple data points talk to each other - by only asking questions in simple English - and in process uncover In-sights & get those delivered to them in seconds.
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