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Poisoned Data Pipelines: When Tainted Healthcare AI Corrupts Insurance AI Models
For insurance providers, the integrity of data flowing in from healthcare providers and other sources is critical for training reliable automated underwriting, claims processing, and risk modelling systems. However, there are concerning scenarios where if upstream healthcare AI systems become compromised by data poisoning attacks, that corruption could potentially cascade through the entire AI pipeline - undermining insurance models in turn. Data poisoning, where adversaries subtly manipulate training datasets to induce vulnerabilities and errors in machine learning systems, has emerged as a critical threat as [...]
AI in the Financial Services Industry – our take!
Financial Services industry has always been in forefront of leveraging technology, digitally transforming and AI is no different. We noted AI initiatives in this sector being leveraged by organizations to not just create new products and services, but also help them transform processes, infrastructure and redefine their existing business models. The areas of focus been around Risk Management, Customer Experience Management (primarily in Customer service, Customer Acquisition) or Business Process Re-engineering. Some common areas where AI is being leveraged for rapid gains or early results [...]
Sustainable Mission With Fission
Two most important aspects of sustainable tech are, how technology can help us in sustainability and how technology itself can be sustainable. When we talk about information technology sustainability, data centres are always on top of our minds because they consume a massive amount of energy to keep the vast internet/networks running 24x7. Data centres are the reason the internet as we know it exists now, and they provide multinational organisations with the computing power that they need to keep their organisation’s day-to-day operations running. [...]
Scaling Hadoop up to the Cloud
The advent of Hadoop for processing Big Data many years ago solved the problem of needing to scale hardware to specialized and impractical dimensions, both from the specification as well as cost points of view. Hadoop distributes processing and storage to smaller units of hardware and allows new hardware to be added as required. These smaller units of hardware could be cheap, non-specialized commodity server hardware. This makes the proposition of working with Big Data more attractive from the point of view of the investment [...]
Adoption of Telematics in Auto Insurance
Telematics is the application of a combination of technologies to gather data from automobiles and transmit it to a receiving organization for various purposes. It could also be two-way communication, and this again depends on the purpose. The use of telematics is an example of an end point technology that forms one part of the larger world of IoT (Internet of Things), but the concept of transmitting data to and from a vehicle actually came into existence many decades ago. It was first pioneered by [...]
Blockchain Technology: The Next Disruption in the BFSI Sector?
much interest. Why is it growing? In almost every financial transaction there is an element of trust involved. Before a seller hands over a good or service in exchange for money they need to be trust that the buyer has enough money to pay for the purchase, the same money is not simultaneously being committed for spending elsewhere, and that the payment will be duly made at the agreed time and mode. In the simplest form it could be a small cash transaction in a [...]
Traits of a Great Data Scientist
Data scientists are a rare breed. It’s not easy to find the perfect blend of skills in information technology, statistics and business. Having said that, more and more are slowly beginning to be emerge after building up their profiles through a mix of experience and training. We’re still a long way off, however, in terms of bridging the gap between supply and demand in the talent market. Data scientists think data. They look for it, have enough programming knowledge to extract it, know how to [...]
Integration of Predictive Analytics into the Enterprise
A couple of decades ago I had the opportunity to work on a business problem that initially seemed rather daunting. The challenge was to optimize the operations of a precision engineering goods manufacturer by moving to a completely different approach to planning. Our company initially used to follow the practices that were derived from the management thinking that worked with the economic environment of the 70s, when the question of how to always have stock of whatever our customers could want was answered by always [...]
Risk Management in Analytics Projects
Business analytics with big data is increasingly being used to help manage risk in a number of areas such as operations, finance, insurance and security. While the broad lifecycle phases of any analytics project remain pretty much the same, the techniques that are used to implement each phase may vary a little depending on the type of data, its sources, etc. The amount of time and effort invested in each phase may also vary greatly across projects. Increased variability in method, time and effort [...]
The Art and Science of Data Visualization
Many companies have succeeded in implementing analytics and using it for various purposes. Some of the better known companies that were early adopters included those like GE, a company that has always been associated with excellence and innovation driven by facts and metrics programs (commonly known these days as a data driven culture). They are huge believers in the power of data, and use it to improve every aspect of the way they work, and also to improve their products. Of course, there are many [...]