For this week’s episode, we spoke to Sandip Patel, Global Managing Director for insurance across IBM. Sandip refers to himself as a lifetime practitioner in the insurance industry having worked for PWC and Aetna and IBM within the insurance industry. In this special episode Sandip shares with us what are IBM's 2019 insurance predictions.
What is blockchain in under 2 minutes?
Sandip reminds us that practitioners in the insurance industry are painfully aware of the friction and the manual cycles that are involved in different insurance processes.
Blockchain is an operating system for establishing trust in the insurance trust. A shared replicated and permissioned ledger technology which allows any participant in the business network and the business process, that they are engaged in across different parties, to see these systems of records. It’s a single system of records, ledger of transactions, with consensus, prominence, immutability and finality.
Blockchain carries the following three characteristics:
* A level of transparency where transactions can be inspected by the relevant parties who have been granted explicit permission to view them.
* A distributed ledger where there is a single immutable prominence regarding where the data came from and where they were actioned. This provides a level trust through every transaction flow through the blockchain.
* A level of audit trail that exists where previous transactions can be confirmed as having happened providing a level of trust in the entirety of the transaction.
IBM’s 2019 Predictions
Sandip detailed out IBM’s 2019 insurance predictions around three key points:
* Data
* New Digital Ecosystems
* Customer and ecosystem interactions to create a differentiated brand
Data
Digital transformation in insurance: Data is the new natural resource
There is a fundamental shift in how we think of data. Where data is becoming the new natural resource, particularly in insurance from a few perspective:
* Volume of data: The nature of data is changing. The rate and pace at which data sets are evolving is growing exponentially. Data sets are going to keep growing to petabytes level and more with which the insurance industry is going to have to deal with.
* Type of data: The nature of data both structured and unstructured is fundamentally changing. 60 – 70% of the data sets such as from wearables, sensors, and drones, often referred to as unstructured data sets since most computers haven’t yet been exposed to such type of data sets.
* Temporal factor of data (relevance). There are data sets which are being created which loose relevance within a few nanoseconds of being created.
The shift requires insurers to fundamentally rethink how to think about data. Traditionally insurers have thrived and excelled in capturing, storing and owning large volumes of data about their customers, products, risk factors, historical events...etc. In the future there are going to be very relevant data sets such as sensor data which informs certain risk factors at the point of time they are created where the paradigm of data is going to be how quickly are you able to capture the data set at the point of creation and enable some decision making based on certain risk factors.
Competitive advantage in the insurance industry today is defined by an insurer’s ability to leverage all this data – structured, unstructured, owned, bought, rented, accessed on demand – and drive insights at scale to proactively find new customer segments,