Brian Duperreault is focused on refreshing AIG's underwriting talent to execute a turnaround, but should he turn his attention to data science and machine learning instead?
Over-regulation, technological changes, changing customer behavior and competitive pressures are driving the disruption of the traditional insurance business model. How should insurers re-think their strategy for the future in an agile market that demands a customer-centric view?
Insurance giant AXA, frequently classified as ‘archaic and static’, is now embracing machine learning and real-time driver data collection to determine individual car insurance premiums.
Lemonade, a company offering home insurance policies, is a pioneer in the InsurTech world where its use of machine learning (ML) goes beyond satisfying customers and driving efficiencies to underwriting risks and managing claims
Despite its exponential growth, Lemonade’s scalability is questioned considering increasing customer demand and limitations around availability and precision of data.
Exploring the trajectory and potential of machine learning in incentive-based insurance at Discovery Ltd.
kWh Analytics, a data analytics start-up based in San Francisco, CA, is trying to lower the cost of solar energy through machine learning. Is it developing the right product?
Tired of being given lemons by traditional insurers, customers are turning to Lemonade
The rise of big data and machine learning has created new opportunities for incumbent insurers and competitors alike.
The insurance sector is not traditionally ahead of the curve when it comes to new technologies. But for this particular time, Machine Learning is tailor-made for the insurance industry.
Monsanto's strategic investments demonstrate its commitment to slowing down, rather than profiting off of, climate change. But is a potential $66B merger with Bayer merely adding to their ongoing crisis of public credibility?
