The DataHour: Artificial Intelligence in Retail
We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due to the paralysed nature that the industry is shaping up to be.
With an experienced professor, mentor, and professor with a background in consumer electronics, semiconductors, professional services, and co-founder of Retail Solutions, a pioneer in Retail Analytics, you are set to experience the best one can ask for at this merger of two big worlds: Data analytics and Retail. An excellent opportunity for freshers and professionals looking for a career in Retail Analytics, Data Analytics, or Sales Planning.
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About The DataHour
Retail refers to selling in small amounts to the end consumer, and the industry is built around this method of selling. The Primary stakeholders include the ones who provide/produce/manufacture supply the goods (Suppliers), those who sell the goods (Retailers), and ultimately, the ones who purchase/consume the goods (Consumers). Secondary stakeholders include auxiliary services such as financing, transportation, packaging, advertising, distributors, wholesalers, contract manufacturing, and industry regulators. Every stakeholder can benefit from Artificial Intelligence and Machine learning applications in their respective domains within the retail industry.
Machine learning can be used to learn and implement man, material, and machine flows and behaviours. These learnings can be applied using AI implementations that automate and augment known processes to reduce redundancies, streamline business flows and ultimately drive efficiency while saving costs in a repeatable and scalable manner.
In this DataHour, Dr. Shantha will explain some use cases of AI/ML in the Retail industry. She would also be answering any questions you have on the applications of AI/ML in Retail; hence come prepared with your queries!
Pre-Requisites: An avid interest in learning Data Science/ Data Analytics
Who all can Attend this DataHour?
- Students and Freshers who want to build a career in data science/analytics
- Working Professionals who want to transition to a career in Data Science
- Students/Freshers and Working Professionals who want to make a career in Retail Analytics
- Retail professionals are looking to understand the applications of Data Science in Retail
About the Speaker
Dr. Shantha Mohan
Mentor and Project Guide, Integrated Innovation Institute, Carnegie Mellon University, Pennsylvania
Dr. Shantha Mohan is a Mentor and Project Guide at the Integrated Innovation Institute of Carnegie Mellon University in Pittsburgh, Pennsylvania, USA. She co-founded Retail Solutions Inc. (RSi), a pioneering retail analytics company based in California, and ran its Global Product Development Team.
She started her career with a Bachelor of Engineering (Hons.) in Electronics and Communication Engineering from the College of Engineering, Guindy. She pursued a PhD. in Operations Management at Tepper School of Management, Carnegie Mellon University.
With an experience of close to 3 decades, Dr. Shantha worked in the Semiconductor industry. She worked in Software Engineering and led Kaveri Inc.’s professional services business as the CEO. She co-founded and led the global development team for Retail Solutions Inc. (RSi) for 13 years.
We sincerely hope you are excited to attend this enriching session on Artificial Intelligence in Retail. Book your seat now!
Dr. Shantha is a highly experienced and prolific speaker with a penchant for instilling long-lasting knowledge and a passion for mentoring young minds. If you want to read more articles on Artificial Intelligence and Data Science, head to our blog.
We look forward to hosting you for this amazing opportunity. If you’re attending this session and have some preliminary questions about this topic, please send them to us at [email protected], or you could ask directly to the speaker during the session.
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