Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
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The insurance arena is undergoing an evolution through technological developments, demand changes for coverage, and risk perception. A dire need for change is evident when we look at large disasters that have the potential to cause harm to diverse communities over sizeable geographical areas
In this on-demand recording, you'll hear William Ulrich and Whynde Kuehn's answers to Cutter Consortium members' questions about business architecture.
In this article, we reflect on the experiences gained in the digital transformation of a traditional insurance company in Germany.
Connected insurance, enabled by big data, the Internet of Things (IoT), and artificial intelligence (AI), is disrupting a major industry that is traditionally resistant to change. Insurance technology — or insurtech — is a vast field and incorporates the interconnected landscape of connected insurance with its three pillars: health, car, and home. Microinsurance comes as a transversal opportunity that can help close the protection gap on the one hand and allow carriers to propose customer-centric products and services aligned with client expectations and behavior on the other hand.
This issue of Cutter Business Technology Journal (CBTJ) takes a wide look at insurtech. It looks at trends and opportunities and offers a suite of solutions — from several perspectives — about how to leverage emerging technologies in insurance models and processes.
In this Advisor, we discuss the conceptual reference model, which provides the foundation needed for any “connection” architecture, capability, or project. A conceptual reference model defines the terms and concepts used by the enterprise and the communities in which the enterprise operates. It is referenced by other strategic, operational, and architectural assets as a way to federate and pivot between different processes, communities, schemas, and systems without coupling them together.
As we discuss in this Executive Update, the risks in the infrastructure as a service (IaaS) market must be mitigated to avoid market failure and deliver a stable cloud computing market.
This Advisor examines the way the data collected over the IIoT ecosystem of interconnected humans and machines can be collected, managed, and exploited. The authors focus particularly on a concept they call "enterprise personal analytics" (EPA) and provide a digital transformation roadmap companies can use to adopt EPA.