Jul 2024
8 Mon
9 Tue
10 Wed
11 Thu
12 Fri
13 Sat 09:00 AM – 06:00 PM IST
14 Sun
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Accepting submissions till 03 Jun 2024, 11:59 PM
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The Conference will also host workshops, tutorials, round tables and Birds of Feather (BOF) sessions for interactive participation and networking.
The conference follows the peer process of reviewing submissions, and followed by rehearsals with selected speakers. If you want to speak at the conference, submit your abstract and slides at https://hasgeek.com/fifthelephant/2024/sub.
The 2024 edition will be held in-person. Attendance is open to The Fifth Elephant members only. Pick a membership to attend the in-person conference.
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“The Fifth Elephant has been a community of passionate and talented people in tech and is for me one of the most valuable sources of practical insights into ML and AI and related aspects” — said Manu Hegde, a member of The Fifth Elephant.
“I have been a regular attendee at Fifth Elephant events since 2016 and I always take away a lot of applied wisdom from the speakers and other practitioners I meet. Often this is about common problem but many times it’s also about topics that I was not even aware of and it definitely broadens my view. The talks are on-point and derive from real world experience with very little to no marketing fluff. The Fifth Elephant community is welcoming of feedback and very supportive to all members.” - said Sidharth Ramachandran, a member of The Fifth Elephant.
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Shubham Bansal
Freshmarketer empowers D2C store owners with data-driven marketing solutions tailored to their unique needs. Our approach integrates product recommendation systems into marketing campaigns, addressing various marketing objectives.
Unlike one-size-fits-all solutions, Freshmarketer develops decision engines customized to individual stores, ensuring flexibility across different categories and campaign types. Leveraging machine learning, we enable hyper-personalized recommendations for each customer, handling large prediction volumes efficiently.
Our architecture combines offline and online prediction systems, providing real-time contextual insights. We serve six key recommendation use cases, including similar item suggestions, cross-sells, upsells, user personalized recommendations, popular and trending product suggestions, and event-based suggestions. In this presentation, we discuss our overarching ML system, distributed training for scalability, hybrid offline and online frameworks, and continuous model evaluation.
Attendees will learn how to build scalable ML systems, adopt hybrid frameworks, and track model performance effectively, all at a fraction of the cost of existing solutions like Amazon Personalize
Speaker-1: Shubham (@shubham27)
Speaker-2: Abhishek (@1abhishekpal)
Update:
Who is the audience for this talk?
Marketers and Technical folks working for serving multiple D2c Customers on scale
What is the problem you are trying to solve ?
The solution will help marketers create more focussed and hyper-personalized campaign using Product recommendation block in campaign templates
What is the scope of this talk i.e., what content will you cover in this talk?
we will dive into the system explaining both about the recommendation engine and the serving architecture of the system. we will also also explain various usecases for d2c customers and planning better marketing campaigns.
How will participants benefit from your talk?
Attendees will gain valuable insights into both the practical application of AI in marketing and the technical nuances of system design.
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