Following rapid changes in the payments ecosystem in 2016, we are now witnessing consolidation in the markets and among players. There are new challenges including security of payment apps, reaching target audiences beyond those in first-tier cities, and addressing questions of standardization.
In its third edition (after Bangalore and Mumbai), 50p will address the following the topics to understand the spectrum of payments and the issues that concern all the stakeholders in this ecosystem.
Digital and electronic payments
- Integration of payment services (UPI, BharatQR, RuPay, AePS)
- Handling failed transactions and offline transactions
- CDN and building infrastructure to scale
- Handling failures and breaches; redressal and response mechanisms
- Web standards for payments (Chrome payments API, Status code 402)
Interoperability of payment methods
- RBI’s “Master directions on issuance and operation of Prepaid Payment Instruments” Refer here
- Building PoS terminals to maximize acceptance
- Interchange and exchange fees
Wallets, payment banks
- Scope for innovation and Over The Top (OTT) services
- Catching up to banking (Deposits, savings schemes, lending)
- Closed loop, semi-loop and open-loop wallets
- Authentication, security and fraud detection
Credit & debit cards, IMPS and contactless payments
- New technology in payments
- Cardless payments (NFC, MSFT)
Payments by design in infrastructure
- Transit cards
- NFC payments
- Building better infrastructure and handling scale
- Adoption issues of transit cards
- IoT in payments: vending machines, fuel pumps, toll booths etc
Security and authentication
- KYC requirements, process and tech stack
- Security vs convenience
- PCI Compliance: Myths and Facts
- Data security and protection
- Fairness, Accountability and Transparency for ML in transaction data
- Preventing bias in data driven decision making
- Tackling socially engineered attacks, phishing and spoofing
- Compliance, bank mandates, ISO certifications on the cloud
Building payment products and business models
- Just in Time lending
- Payment bots and automated payments
- Credit based on alternative lending data
- P2P lending
- Cross border payments and remittances
- Escrow services
- Recurring billing and subscriptions
- Building business models for Value Added Services
- Using AI and ML in FinTech
- Credit monitoring and personal finance
Blockchain and Cryptocurrencies
- Scaling with blockchain
- Interoperability of tokens and coins
- Designing systems to handle price surges
- Distributed databases
- Ripple (RTXP vs RTGS), Hyperledger (Distributed ledgers and supply chain management) and digital asset management
- Digital identity
- Remittances and escrow
Building products and business models
- Increasing user adoption and developing consumer awareness
- Cryptocurrencies in brick and mortar stores
- Building with distributed consensus technologies
- Where to use blockchain?
- Scaling challenges and optimizing transaction costs
- Hardware wallets and software wallets
- Financial inclusion and serving the underserved
- Invoice discounting
- Scope for innovation in blockchain based products
- Blockchain in the enterprise
- Blockchain on the cloud
- Blockchain for distributed storage
Investments and alternate lending methods
- P2P lending and investments
- ICOs, alt-coins and investments
Grievance redressal, Security and Authentication
- Security and safety of exchanges
- Anonymous payments
Regulation and policy
- Navigating the blockchain consortia
- Regulating ICOs and token sale
- Navigating the Indian regulatory landscape for cryptocurrencies
Building products and services:
- Cross border fund transfer and escrow services
- Remittances and clearing houses
- Central billing services
- Using technology as an enabler for inclusion
- Building banking products (cardless EMIs, deferred payments etc)
- Reaching marginalized, traditionally unbanked communities
- Lessons from blockchain in openness
- Challenges in IT deployment
- Overview of RTGS, NEFT - comparison to IMPS, UPI etc
- Direct Beneficiary Transfer - Challenges
- Security of banking systems
- Is compliance and regulations limiting scope for innovation in banking?
- Products based on using alternate consumer data
- Onboarding challenges - building for next billion
- Fully digital banking: dream to reality
Security, authentication and scaling
- Data analytics and fraud detection
- Fairness, Accountability and Transparency in ML/DL
History of banking
Payments space in India
- Increasing consumer participation - activated citizens
- Understanding regulations - Policy 101
- Framing regulations - Fin Tech policy wish list
- Lessons from South East Asia - building scalable payment products
- Building interoperable system
- Acceptance mechanisms
- Adoption of cloud and distributed technology stacks
- Future technology roadmap
- Localization and accessibility of digital products
You can also propose to teach workshops on the following topics:
- Deploying a payment gateway/wallet in your app/website
- Building with blockchain
- Designing interfaces for payment apps
If you are working on an area that is not listed above simply submit a proposal.
50p is a conference for practitioners, by practitioners. Submit a proposal to speak at 50p if you are:
- CEOs of payments companies.
- CTOs of payment companies.
- Heads of technology and product teams in banks.
- Working on DBT, UPI, BharatQR, payment integration, in a hands-on manner.
- Product managers in payment companies.
- Developers working in payments companies and banks.
- Data scientist – who has or is working on data analytics (and or fraud detection) – in payments.
- Designer working on payment products.
- Working on stock markets, capital markets, etc.
- Solving problems with remittance payments.
- Developers in third-party organizations which build solutions for payment companies and banks.
- Security professional working on security and auth.
- Economic historians.
- Cryptocurrency enthusiasts.
- Working on Blockchain.
We are inviting proposals for:
- Full-length 40 minute talks.
- Crisp 15-minute talks.
- Sponsored sessions (limited slots available; subject to editorial scrutiny and approval).
- Hands-on workshops, of 3 and 6 hour duration.
- Off The Record (OTR) and Birds of a Feather (BOF) sessions for 90 mins each.
- 5- and 10-min demos.
- Panel discussions.
- If the technology or solution is proprietary, and you want to speak about your proprietary solution to make a pitch to the audience, you should pick up sponsored session. This involves paying for the speaking slot.
- If your solution / technology is available through a freemium model, it will fall under sponsored session category. 3. If the technology or solution is in the process of being open sourced, we will consider the talk only if the solution is open sourced at least two months before the conference.
If your tech stack is closed source, you should consider proposing a talk explaining your choices in the first place; what options you considered (business-wise and technology-wise) before you made the decision to build your own solution; what is your specific use case that left you without existing options and necessitated you to build your own solution.
The criteria for selecting proposals, in the order of importance, are:
- Key insight or take away: what can you share with participants that will help them in their work and in thinking about the problem?
- Structure of the talk and flow of content: a detailed outline helps us understand the focus of the talk, and the clarity of your thought process.
- Ability to communicate succinctly, and how you engage with the audience. You must submit link to a two-minute preview video explaining what your talk is about, and what is the key takeaway for the audience.
We do not allow marketing or hiring pitches in talks or discussions. For a list of what is acceptable, refer to the guidelines below before preparing your presentation.
- YES to great technical talks
- YES to fascinating theory
- YES to innovative ideas
- YES to sharing stories from the field
- YES to open source and community projects
- NO to sales pitches disguised as presentations
- NO to hiring announcements during or after talks
- NO to swag and goodies in the auditorium
- NO to presenter branding on stage
- ALWAYS follow the HasGeek Code of Conduct
Separating editorial content from sponsorship is a hallmark of HasGeek conferences and something that our community appreciates.
If you are hoping to promote your product, reach out to developers, or to hire talent from our audience, we’d be happy to connect you to our sales and sponsorship team who can offer you suggestions in adherence to our conference editorial policies.
No one submits the perfect proposal in the first instance. We therefore encourage you to:
- Submit your proposal early so that we have more time to iterate if the proposal has potential.
- Talk to us on our community Slack channel: https://friends.hasgeek.com if you want to discuss an idea for your proposal, and need help / advice on how to structure it.
- Our editorial team also helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.
The following guidelines will help you in submitting a proposal:
- Focus on why, not how. Explain to participants why you made a business or engineering decision, or why you chose a particular approach to solving your problem.
- Share as much detail as possible about how you solved the problem. Glossing over details does not help participants grasp real insights.
- Focus on what participants from other domains can learn/abstract from your solution.
- We do not accept how-to talks unless they demonstrate latest technology. If you are demonstrating new tech, show enough to motivate participants to explore the technology later.
- Content that can be read off the internet does not interest us. Our participants are keen to listen to use cases and experience stories that will help them in their practice.
To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful.
Selected speakers get a pass to the conference. We also pay an honorarium of Rs. 5,000 to each speaker, at the end of the talk as token of gratitude for taking the time to prepare and speak at the conference.
We do not provide free passes for speakers’ colleagues and spouses.
Limited travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. 50p is funded through ticket purchases and sponsorships; travel grant budgets vary.
About the curators of 50p: [This section will be updated as we confirm curators and peer reviewers for the conference.]
50p is a community event with crowd sourced content. The curators of this conference are:
- Abhishek Balaji: who thrives on food, shelter and bandwidth. Part-time adult and full-time all rounder, Abhishek is editor, video producer and part of the content team at HasGeek. He babbles at https://twitter.com/booleanbalaji
- Zainab Bawa: bespectacled and spectacular editor-in-chief at HasGeek. Her opinions and insights are public on https://twitter.com/zainabbawa
- Srikanth Lakshmanan: runs Cashlessconsumr, a consumer advocate forum focusing on the new age consumer focus in digital payments.
NIMHANS Convention Center
Hosur Road, Lakkasandra, Behind Bus Stop,
Bengaluru, Karnataka 560029
First round of proposal submissions are closed. Write to firstname.lastname@example.org if you want to submit a proposal. Proposals will be reviewed as we receive them. Do not forget to upload slides and preview video when submitting your talks.
For questions on speaking proposals write to email@example.com. For information about tickets and sponsorships, write to firstname.lastname@example.org or call +91-7676332020.
Credit Rating Transistion using Financial & Text Analytics
BRIEF SYNOPSIS OF WORK ON CREDIT RATING TRANSISTION
The credit rating of financial instruments is one of the factors that play a significant role while making investment decisions. Credit rating companies provide information about the credit stability/ transitions (deterioration/ up gradation) of the debt instruments using financial parameters, industry parameters, and external environment at quarterly intervals. In the present scenario, investment managers have to wait for quite some time to know about the credit rating stability/ transition. We propose that incorporating the market news available from different sources in almost real time along with the usual financial parameters should be able to predict the rating stability/ transition well in advance. The present work focus on incorporating sentiment scores extracted from various news sources like new aggregators like Bloomberg, Reuters, Company Web sites, Blogs etc. Depending upon the source of news a weight will be given taking into consideration trust worthiness of the source, Location of the Company information in the body of the news, Frequency of appearance. Using deep learning weights are assigned to each source. A Composite Sentiment score is computed as weighed average of the various individual news sources. This composite score is additional Input along with other financial parameters about eleven to survival analysis which in turn will forecast credit events. Our results show that Return on Capital Employed ROCE and Interest cover ratio along with sentiment scores are the best predictor variables to predict the rating stability/ transition. We tested our methodology on about three hundred companies. Most of them are from mining & textile segment as majority of downgrades and rating transitions have happened in those sectors. Back testing results show that proposed model very well predicts the credit rating stability/ transition. Without using the sentiment score the prediction accuracy of a transition was about 45% on hold out Samples (About 30 of 300) and with Financial and sentiment score it went up to about 70%. This work will be very helpful from the regulatory point of view also as one has to compute the Future value of Loan portfolio ie Credit Risk VAR. This method computes the Credit Risk VAR much accurately compared to existing methods of Credit Risk Computation.
Other outcome of this work is to predict crossover of rating from a given threshold. As an example the current rating may be Baa . After what point in time it will cross over to Ba. This is different from what transition Matrix gives. It gives for a given duration say a Year what is probability of change where as our method can tell when the change will take place it need not be at year intervals.
We have filed a provincial patent for this work.
Prof S Chandrasekhar B.Tech,M.Tech(IIT-K),PhD(USA)
Sr Prof & Director - Business Analytics
IFIM Business School B :lore
What Problem we are trying to solve
Development of work
Help in early warning of Credit Risk
BRIEF PROFILE OF PROF. S.CHANDRASEKHAR
Prof S Chandrasekhar is Senior Prof & Director Business Analytic at IFIM Business School B “Lore since Nov 2013. He has about 40+ yrs of experience in Industry & academics out of which about 15+ years in Analytics.
He was chair Professor (July 1998-Feb 2013) & Director at FORE School of Management, New Delhi
Prior to this he worked at Indian Institute of Management, Lucknow for about ten years(1988-98) as Professor in the area of Computers & information Systems. Member Secretary of IIM L Governing Board for about three years.
He holds a Bachelor’s degree in Electrical Engineering, Master’s degree in Computer Science from IIT, Kanpur and Doctorate in Quantitative &Information Systems from University of Georgia, USA. Worked in India, USA and Canada in reputed organizations like TIFR, ISRO, NRSA, FORD Aerospace Corporation, National Research Council before joining IIM, Lucknow. Awarded UNDP fellowship for study in Advanced Computer Systems design. Worked in the area of Neural Network, Forecasting using Statistical Techniques, Mathematical Modeling, and Data Warehousing/Data Mining.
Professor Chandrasekhar is a Fellow of the Institution of Electronics & Telecommunication Engineers, Fellow of Institution of Engineers, and Fellow of Association for Information Systems and Senior Member of Computer Society of India. Published papers in National and International Journals and also presented papers at various International Conferences, Chaired sessions at Intl/National level conferences, Guided students for their Masters and Doctoral Work.
Consultant to various industries in the area of Business Intelligence, Predictive/Descriptive Analytics, Risk management