The Fifth Elephant 2023 Winter
On the engineering and business implications of AI & ML
Accepting submissions till 15 Nov 2023, 11:59 PM
Not accepting submissions
Submission guidelines and selection criteria
If you are interested in speaking at The Fifth Elephant, note the following guidelines:
- Submit a description of your talk, explaining the problem that your talk covers, and one concrete takeaway for audience. Talks have to give at least one practical insight to the audience.
- Preference will be given to talk experiential talks such as case studies, journeyman stories and implementation stories.
- Editors will comment on the submissions. Watch out for comments.
- If you submission is included in the shortlist, you will be required to prepare an outline of your talk and go through a rehearsal.
Here’s a guide for speakers to draft their presentations.
The call for submissions will be closed on 30 September. Talks will be selected on a rolling basis as submissions are made.
Speaker honorarium
Speakers are paid honorarium from The Fifth Elephant membership funds. The honorarium amount will be declared with the funds available in the membership corpus in December 2023.
Travel for outstation speakers is presently not available owing to paucity of funds in the corpus.
If you have questions about submitting a talk or speaking at the conference, post a comment here.
Make a submission
Accepting submissions till 15 Nov 2023, 11:59 PM
bargava Revolutionizing Radiology Reports: Leveraging AI and LLMs for Improved Quality and ActionabilityOverview In the era of data-driven healthcare, the quality and actionability of healthcare reports are critical. With improved access to diagnostics, radiology plays a pivotal role in adminstering care. more
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Vikram Vij Forecasting Architecture, Metrics and Learnings @ Samsung AdsSamsung Ads is an intuitive audience platform that delivers meaningful experiences reaching the right audience across screens, formats and devices. With more than 900M Mobiles and 150M Smart TVs, and the largest first party data set powered by ACR, we help marketers reach targets and enhance experiences that span digital landscapes. The business has grown 10x since 2015. Our foundation is based o… more
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Anuj Gupta AI Maturity Continuum: A Three-Step Model to Understand Return On Investment (ROI) in AIBuilding AI models/systems doesn’t come cheap. Data, Compute Talent, Time - it all comes at a high price in the AI world. Given the size of the investment, be it a 0-1 startup or MNC, it is important to understand the ROI (Return On Investment) upfront. more
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Tanuja Ganu  Shiksha copilotTitle Shiksha copilot- Empowering teachers to create best learning experiences more
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Anantharam Chatting with Flipkart: How GenAI Revolutionised Online ShoppingAbstract In India’s offline markets, shopping is always about having an interactive dialogue. Yet, as e-commerce platforms evolved, dense UI interfaces clouded and removed conversational experience. With GenAI, we at Flipakrt have revitalized this dialogue. We called it Conversational Commerce more
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Abhishek Mungoli Scaling Recommendations @ Meesho: Lessons from Twitter, Instagram and Pinterest Ranking & Retrieval StrategiesAbstract In this session, we’ll deep-dive into Recommendation Systems, with a special focus on two critical stages: Retrieval and Ranking. We’ll begin by examining how different industries implement large-scale Retrieval Systems tailored to their specific needs. To illustrate our points, we’ll take a closer look at the Retrieval Systems used by Twitter and Instagram, even though both are social n… more
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Kartik Understanding how to achieve high accuracy and a great user experience for LLM-based service bots.In this talk, we will outline the journey of building policyGPT, a system designed to automate responses to health insurance support queries. The system can guide users with educational context such as how-to guides and provide instant, precise answers to a wide range of coverage questions interpreting policy terms and conditions. Given this context’s crucial high accuracy requirements, our main … more
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Daood Shaheer How many ads are too many? Enhancing ad serving to reduce campaign delivery variancesAbstract Ad serving refers to process of delivering online advertisements to users on a digital platform. It constitutes a crucial element in ad campaign management, as advertisers and platforms establish agreements regarding pricing and campaign behaviour. Consequently, optimizing under and over-delivery of ad impressions emerges as a critical concern for seamless and efficient delivery. Impress… more
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Anantharam Conversational Search in FlipkartAbstract With Conversational Commerce becoming more popular, the way people search for products on a Conversational (Chat) Interface is very different from the way they search on a traditional “Search Text Box” based interface. This talk is around the differences, the challenges they pose and the solutionn to those challenges based on our learnings in Flipkart. more
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Anuj Gupta Economics of AIIt is widely believed that the next few unicorns and decacorns will come from AI. This should hardly be surprising - AI is one of those once-in-a-lifetime technological advances that can change the life of every human on earth. Its impact on mankind will be no less than the impact of industrialization or electricity. more
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Akshat Gupta Automated Genre Based Music Morphing using AIAbstract In the realm of audio processing and music production, automated genre-based audio morphing is an emerging field that merges the creative boundaries of different music genres through the power of machine learning and natural language processing (NLP). This innovative approach leverages textual prompts to drive the transformation of audio content, transcending traditional genre constraint… more
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Rumanu How Differential Privacy Changed The WorldHow Differential Privacy Changed The World and how engineering it into your pipelines can lead you to comply with legal requirements and meet consumer wants and needs. more
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Shyam Choudhary Video Highlights GenerationAbstract Roposo is a live video platform with over ~200 million end users with ~1000 live videos getting uploaded every day, each lasting 15 minutes to 3 hours. In order to increase engagement and improve user experience, we are trying to create a central video feed which will have assets that can easily consumed. This requires converting our events and creator led videos to shorter formats like … more
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Anuj Gupta How to Choose the Right AI Use CaseAs a Founder or a CXO, when one looks at AI and the crazy possibilities it brings, the first question that comes to mind is - what use case should I go after that will help me create a sustainable business? more
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Naveen Aiathurai Linking user behavior with decisions, actions, and outcomes through decision intelligence systemsIn this talk, we will outline the journey of building OSlash Copilot, an AI tool designed to equip any software product or website with 24*7 LLM support that translates into a decision intelligence system for product and business owners. more
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Dhruv Rathi Hearts, LLMs, and TPUs: Building Emotionally Intelligent and Safe Digital Humans with Generative AIIn the evolution of Artificial Intelligence, the ability to emulate the complexity and emotional nuances of human conversation is a challenging frontier. This talk examines the potential of Generative AI to comprehend and replicate the intricacies of human language. We will delve into the dynamics of human conversation, exploring how to encode aspects of personality, world view, resolutions to se… more
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Near Real time Feature Engineering for Machine Learning use cases at Myntra ScaleProblem Myntra is one of the leading fashion e-commerce companies in India. Myntra delivers best-in-class shopping experience by leveraging many advanced machine learning models, deployed for online or real-time inference. The online inference requires streams of data to be processed, machine learning features to be computed, stored and served in (near) real-time, at Myntra scale. more
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Priyansh Jain Unlocking the Power of Action Event Data: A Cross-Industry PerspectiveAbstract Optimizing action events, like purchases and bookings, is the cornerstone for boosting revenue across diverse domains. While the industry has often focused on interest and desire data, such as clicks and impressions, neglecting the critical dimension of action data, in the context of ML modelling, to drive success. Our research at Glance, a leader in personalized content delivery to 200M… more
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Anuj Gupta "Build vs Buy" - It is not this vs that! Instead, in AI, always Buy then BuildA common dilemma for teams or executives is - to “build internally” or “buy from outside”. In software, both strategies have their own pros n cons. However, when it comes to AI, while the reasoning is much more convoluted, the answer is very simple - always Buy before Build! more
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Anuj Gupta Hiring for AI Roles - PhDs or Undergrads?AI is no stranger to anyone out there. Often dubbed as one of the most disruptive technologies in 21st century - AI has keen interest from every business leader out there. more
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dhruvil karani Solving bias in recommender systems using negative samplingProblem Recommender systems suffer a major deficiency in their feedback loops. When a user interacts with only a few out of many items on a website, we can only assume their interest in those specific items. Hence, the feedback is biased. more
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Santosh GSK AI Powered AdvertisingAbstract (Problem) Scaling digital ads heavily relies on testing new ads. Many brands are unable to scale even though they have budgets due to lack of ads to test. The biggest challenge for any advertiser is to come up with new Ad ideas, design those Ads and track them at a fast pace so that the ad costs can be reduced. more
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Sumit Saha Automating Knowledge Extraction for Training Content Generation with LLMs @ SquadStackAbstract In traditional BPOs, training sales representatives is challenging, primarily due to limited visibility into the universe of knowledge that the representatives have to stay on top of. This limitation often results in suboptimal sales interactions with customers. Furthermore, the creation of thorough and timely training materials is a time-consuming endeavor, even before the actual traini… more
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Vinayak Hegde Using LLMs to build your own CopilotsI plan to cover the following topics. . How LLMs work (short intro) . The challenges of working with LLMs (Hallucinations) . How to reduce Hallucination using Retrieval Augmented Generation (RAG) . How can you can finetune LLMs to give give more coherent answers . What is the Copilot pattern for building creative/enterprise apps? . How does the Copilot pattern work from a UX point of view to augm… more
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Gaurav Shukla Accelerating Generative AI initiatives with AMD SharkStudio TechnologyDiscover AMD SharkStudio, a tool to simplify Generative AI initiatives. With an easy-to-use interface, SharkStudio empowers users to interact effortlessly with open source LLMs and Stable Diffusion Models, delivering enhanced performance on AMD hardware. SharkStudio provides a low friction deployment from laptops (Ryzen) to datacenters (EPYC CPU, and MI210/MI250 GPU). more
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Ramki Rapidly transform into a Generative AI infused IT organizationRapidly transform into a generative AI infused IT organization more
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Sugarcane AI Building LLM Apps up to 20x Faster using Microservices ArchitectureOverview Microservices Architecture has transformed API and Frontend development, extending its impact to billions of users. Now, with the advent of generative AI and Large Language Models (LLMs), there’s an unprecedented opportunity to disrupt industries. However, developing reliable and safe LLM applications poses significant challenges for developers. This talk explores how Microservices Archi… more
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mahathi bhagavatula Landscape of Large Language Models (LLMs)Abstract With the rapidly evolving world of Large Language Models (LLMs), there are numerous LLMs released each week. It is important to understand how these models align with various use-cases and technical configurations. The talk aims to provide a framework for understanding which LLMs are best suited for particular applications/ problem statements based on set of parameters like architectural… more
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Simrat Hanspal Let's build production-ready RAG pipeline the right way!Retrieval Augmented Generation (RAG) is a brilliant technique of augmenting knowledge to Large Language Models (LLMs) so that we can use the power of Language Models for multiple use cases on enterprise and real-time data. more
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Rishav Kumar Samvadini - a telecalling voice bot for blue-collar hiring in IndiaIn this talk, we introduce ‘Samvadini’, a telecalling voice bot built for hiring blue-collar workers in India. It uses state-of-the-art AI to capture human responses adeptly, autonomously determine the next action, and seamlessly respond in a voice (indistinguishable from a human). more
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