Surajit Ghosh

My career journey (Over a decade of experience, ~12 years) blends AI technical expertise and product innovation, providing me with a comprehensive perspective on AI product design and development on the cloud. This experience, coupled with my skills in team and stakeholder management, shapes my approach to driving sustainable advancements in the field of artificial intelligence.Innovation Lead specializing in GEN AI Use Cases 2 out of 3 product innovations transferred to incubation (a pre industrialization phase) Design scalable solutions adapting to the current methodologies, ensuring efficient data management practices with utmost security. Plan and execute the complete lifecycle of the Data Science project/solution. Working on design thinking in product innovation for over and above 5 years now

Lead employee engagement focal for Ericsson, GE, HCL Honored with numerous awards for innovation Secured victory in the 2020 "AI for the New Normal and Beyond" hackathon

GEN AI - Predictive Resource Plan (PRP):

PRP is automated AI Driven Ericsson’s Product for resource plan. PRP also used as Resource Plan Simulator to explore what if scenario before execution.

Efficiency: Lead time for demand planning and decision making is reduced by 50%

Simplification: and time spent to create resource request by 80%.

Error and Biasness: reduce change request by 40%

National broadband network Agent (speech bot):

Ericsson Network Operations Centre now leverages an advanced speech bot powered by generative AI to streamline its support for network operations processes such as starting, pausing, and stopping, based on calls from technicians. This automation enhanced 70% efficiency and response times.

GEN AI inbound supply INSIGHTS: Inbound supply teams connected with planning, sourcing, Manufacturing, and other parts withing supply. there is constant disruption in suppliers’ capability and the status for orders and deliveries rapidly changes. the new GEN-AI solutions will be able to augment the capability analysis for relevant USER’S personas to speed up the response time significantly

Smart ToW – Analytics in a Day (80% reduction in analytic development time):

Developed a e2E data science solution for analytic development framework which allows to build first pass detection analytic in ~ 1 day. Solved multiple business use cases for fleet management using this tool and currently it’s being used by many teams across organization. Single click end – end automated platform with various algorithms.

Intelligent prediction analytic framework (IPAF):

This framework is aimed at developing a one-stop-shop for all the development related activities in the Time on Wing (ToW) analytics prediction space. It will serve as a platform to build models quickly and drive standard work enabling easier downstream integration.