Machine Learning in Insurance Enable Insurers to Become AI-Driven Enterprises
Emerging data analytics technologies centred on machine learning bring order and purpose to this unstructured data so that it can be more effectively
Artificial Intelligence
10 posts
What is artificial intelligence (AI)? Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
At its core, AI reads human behavior to develop intelligent machines. Simply put, the foundational goal of AI is to design a technology that enables computer systems to work intelligently yet independently.
Simply put, AI allows organizations to make better decisions, improving core business processes by increasing both the speed and accuracy of strategic decision-making processes.
John McCarthy, a professor emeritus of computer science at Stanford, the man who coined the term “artificial intelligence” and subsequently went on to define the field for more than five decades.
Insurance Claims Management. How Big Data & AI Technology Helps InsurTech?
The digitisation of claims management is a fundamental aspect of a modern and robust insurance operating model – but many insurers are still limited to using legacy systems
Using AI, Analytics & Cloud to Reimagine the Insurance Value Chain
Insurance professionals are getting more comfortable with recommendations coming from AI and utilizing them in underwriting, pricing, marketing, claims
Attracting the Talent — the Biggest Challenge Insurers Face
The big question insurers face is where will all that talent come from, and how will they be able to recruit skill sets to advance increasingly digitized operations?
How InsurTechs & Tech-Driven Innovation Changing the Insurance Industry?
Tech-driven innovation is reshaping the insurance industry: telematics, artificial intelligence, machine learning transformed insurance area
