Context:
With the emergence and rapid growth of Insurtech, traditional insurers (carriers, brokers, re-insurers) are competing for new digital-native customers as well as re-inventing their business processed and insurance offerings. In addition to Insurtech platforms, this also presents an opportunity for digital-native platforms across verticals to partner with insurance companies as a ditribution channel or create product for new customer segments.

Ask:

• Risk modelling: dynamic pricing, leveraging real time and alternate data, IoT/ Telematics
• Distribution: Digital platforms for launching direct-to-consumer propositions,
• Claims: Automating the claims process – FNOL, data capture, documentation and settlement
• Policy Admin: Data/ analytics solutions to Identify and manage risk for policy lapses and surrenders
• Product Innovation: Leverage customer data/ insights to launch new propositions e.g. income protection, byte-sized insurance

Category: Fintech

Context:
Traditional lending modules are both frustrating for both individual and SME customers applying for loans as it takes too much time and collaterals to have access to finance. Banks need to take advantage of the latest advances in technology with regard to data analytics for credit scoring. There is immense potential in being able to use these technologies to enhance efficiency in the credit scoring process and in turn extend their reach to “new to credit individuals”.

Ask:

• Use of AI/ ML and alternative data for underwriting
• Digital solutions for real time decisioning and loan disbursals
• Insights/ analytics for enhanced customer profiling and segmentation
• Distribution partnerships providing access/ reach/ credit assessment to new customers
• SME lending: Solutions that enable Banks/ NBFCs to advance credit to SMEs
• Online identity verification and KYC process to satisfy internal policy and regulation
• Conversational AI-powered solutions (chat, voice) for onboarding, unified interface, product recommendation
• Data verification and fraud detection

Category: Fintech

Context:
Incerasing digitaisation has meant that enterprises and their customers are increasingly vulnerable to cyber attacks and frauds which can take the form of identity theft, phishing attacks, data breaches and other malicious means. Organisations need to implement robust cyber risk management frameworks to safeguard themselves and their customers from such attacks, deploy appropriate frameworks to assess their preparedness to deal with such attacks, and have the recovery mechanism to deal with any security breaches.

Ask:
Solutions for 1. Data Encryption & Key Management 2. Risk Analytics & Insights 2. Cyber forensics  3. Data restoration 3. Service capability to enable recovery from data breaches

Category: CyberSecurity

Context:
Mobile internet penetration along with technologies such as automation, robotics and AI are transforming the nature of work – who, how, what, where work is done are all getting impacting.  As organisations and individuals adapt to working in a tech-centric and tech-enabled paradigms, a variety of new technology solutions comeo into play.

Ask:

• Automating document management processes covering functionalities such as digitization (from various paper forms), extraction, validation, analysis etc.
• HRTech solutions and digital talent platforms utilising AI for recruitment, onboarding and engagement
• AR/ VR based solutions for employee training
• Salesforce effectiveness management and monitoring solutions
• Workspace optimisation and work scheduling
• Automation of email based processes

Category: AI, HRTech

Context:
Innovation in technology is a key tool in rapidly slowing and ultimately reversing environmental damage and delivering sustainability. The UN member states, in 2015, adopted the Sustainable Development Goals (SDGs), which acted as a universal call to action towards achieving sustainability across 17 key areas, providing a canvass for developing innovative solutions.

Ask:

• Solutions and platforms that encourage use and adoption of clean technologies
• Innovative irrigation, water treatment and recycling techniques
• Solutions aiding the development of “SmartCity” and public infrastructure
• Creation of new materials that consume less natural resources and are recyclable
• Innovation in food and agriculture

Category: CleanTech

Context:
AI, blockchain and other technologies and platforms hold the potential to transform healthcare to the benefit of patients, payers and providers. This gives rise to increasing scope for applications and devices to be built for health monitoring, health data management, preventive health care and a variety of newer services which will help improve the overall health of individuals and redefine industries.

Ask:
Solutions for 1. digital therapeutics 2. digitising health records 3. development of care and wellness ecosystems 4. Personalised health and nutrition plans 5. Analytical solutions to mine clinicial trial and research data

Category: HealthTech

Context:
From unmanned robots in warehouses to drones for fulfilment, the current supply chain is undergoing a major transformation. With the possibilities in digitisation, artificial intelligence and blockchain, the future supply chain holds the promise of more efficient, autonomous supply chains and address problems such as counterfeiting.

Ask:

• Digital logistics and sourcing marketplaces
• Bloackchain based solutions for provenance and supply chain tracking
• Robotics and automation in the warehouse
• Fleet management and optimisation
• Mapping and analytics solultions supporting the operation of drones

Category: Logistics

Context:
The rise of new digital industrial technology, known as Industry 4.0, is a transformation that makes it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to produce higher-quality goods at reduced costs.

Ask:

• Big data and analytics solutions for collection and evaluation of data from multiple sources in real time
• Computer vision solutions for smart manufacturing
• Utilising IoT devices for monitoring, decentralized analytics and decision making, enabling real-time responses
• Use of additive-manufacturing methods, such as 3D printing, enabling production in small batches of customized products
• Utilising simulation and AR/VR techniques to leverage real time data and mirror the physical world in a virtual model

Category: Industrial

Context:
The auto sector is changing rapidly, as forces like automation, connectivity, electric motors, and sharing are shaping the future of automotive. Unlike past periods of innovation in the industry, the coming years will be particularly interesting because many of the changes will come from outside of the traditional workings of a car.

Ask:
Solutions for connected cars, autonomous driving, EVs – storage and charging, sharing

Category: Auto