The Fifth Elephant 2023 Winter edition - themes
- Talks from the healthcare sector
- Cutting edge developments with hardware and AI
- AI and risk mitigation
Attendance for The Fifth Elephant members only
The December edition will be held in-person. Attendance is open to The Fifth Elephant members only. Purchase a membership to attend in-person conference.
Who will benefit from participating in The Fifth Elephant community:
- Data/MLOps engineers who want to learn about state-of-the-art tools and techniques, especially from domains such as automobile, agri-tech and mechanical industries.
- Data scientists who want a deeper understanding of model deployment/governance.
- Architects who are building ML workflows that scale.
- Tech founders who are building products that require AI or ML.
- Product managers, who want to learn about the process of building AI/ML products.
- Directors, VPs and senior tech leadership who are building AI/ML teams.
Sponsorship
Sponsorship slots are open for:
- Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
- Companies seeking tech branding among AI and ML developers.
- Venture Capital (VC) firms and investors who want to scan the landscape of innovations and innovators in AI and who want to source leads for investment in the AI and ML space.
If you are interested in sponsoring, email sales@hasgeek.com.
Contact information
Join The Fifth Elephant Telegram group on https://t.me/fifthel. Follow @fifthel on Twitter.
For any inquiries, call The Fifth Elephant on +91-7676332020.
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Accepting submissions till 30 Sep 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.
The call for submissions will be closed on 30 September. Talks will be selected on a rolling basis as submissions are made.
Speaker honorarium
The Fifth Elephant membership funds pay for honorarium for speaker. The honorarium amount will be declared with the funds available in the membership corpus in September 2023.
Travel for outstation speakers
The Fifth Elephant conferences are financed by memberships. Travel grants are available subject to funds available in the corpus. This section will be updated in September 2023 with status of the memberships corpus.
Topics for submission
You can submit an experiential talk on one of the following topics. You are welcome to submit talks on other topics. Focus on the relevance of the talk, who are the stakeholders who will be impacted by your talk, and what is the takeaway for them.
- AI and healthcare
- AI and ethics
- Risk mitigation and AI
- AI and research.
- Decisions Intelligence Systems.
- Machine Learning (ML) application lifecycle at an organization and how it is helping the organization scale.
- Cloud or tools associated with ML application lifecycle.
- Data labeling and classification.
- Data security, data privacy and data governance.
- “Build versus buy” experiential case studies.
If you have questions about submitting a talk or speaking at the conference, post a comment here.
Make a submission
Accepting submissions till 30 Sep 2023, 11:59 PM
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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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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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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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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 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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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 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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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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Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more