Fintech Valley Vizag – Finackathon 2017

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Data

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Also look below & try-out some of the IBM Cloud tools/services curated for each sub-themes of the hackathon, where we have highlighted the relevant IBM technology, tools and platforms that can be leveraged for the themes below:-

Customer Experience

A. Digital Tool to Increase Client Life-Cycle Management

1) Investment Portfolio 2) DSX 3) Database: NoSQL database 4) Starter Kit

B. Leveraging Facial recognition and Facial Analytics to know the customer better and simplify the application process

1) Conversation (Chatbot)
2) Visual Recognition
3) App-ID (1)
4) App-ID (2)
5) Starter Kit

Process Automation

C. Auto Assessment of Motor Claims

1) Watson Conversation (Chatbot)
2) API Connect (Create/Expose API's)
3) Watson Machine learning (Create and deploy models for claims frauds/ assessment)
4) DSX (ML Model Training)
5) Visual Recognition

D. Furnishing full KYC of investors through a digital and paperless process within the purview of SEBI guidelines

1) Watson Conversation (Chatbot)
2) Indiastack APIs (Quagga): eKYC, eSign, eAuth

E. Automate e-KYC Verification using RPA and OCR technology

1) Watson Conversation (Chatbot)
2) Indiastack APIs (Quagga): eKYC, eSign, eAuth

F. OCR in Credit Risk assessment

1) Watson Conversation (Chatbot)
2) Watson NLU

Financial Inclusion

G. Low-cost payment solution for rural India

1) API Connect (create, manage, run APIs)
2) Payeezy: Payment Gateway on IBM Cloud (1)
3) Payeezy: Payment Gateway on IBM Cloud (2)
4) Push Notifications (1)
5) Push Notifications (2)

Risk Management

H. Health Reporting & Management

1) Internet Of Things- Platforms : This platform is the hub for IBM Watson IoT and lets you communicate with and consume data from connected devices and gateways.

2) IBM Watson Machine Learning for Predictive Analysis : IBM Watson Machine Learning is a full-service Bluemix offering that makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes.

3) Natural Language Classifier for querying/providing suggestions : The Natural Language Classifier service applies cognitive computing techniques to return the best matching classes for a sentence or phrase.

4) Alert Notification for sending notifications : Use Alert Notification to get early notification of application or service issues before they affect your users. Spend more time innovating, confident you are not ignoring critical issues.

5) Conversation service for creating communication with the user : Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device.

I. Digital Claims Processing for OPD Cases

1) Blockchain : The claim process can be put into a hyper-ledger composer & can be useful to audit any digital claims process in the insurance sector.

2) Developer Journey (1)

3) Developer Journey (2)

Lending

J. P2P Lending for SME

1) DSX : For credit scoring / risk assessment & customer profiling.

2) Quovo : To get data from other investment accounts for 360 view.