Technology

I’m excited that the ski season is about to start where my family and I live in Northern California. I’m even more excited we’ve arrived at Banff, the second release in Guidewire’s bi-annual release cadence! In June we released Aspen, the most important release in Guidewire’s history, where we introduced Guidewire Cloud Platform and reimagined core platforms. ... Read More >
We’re always looking for ways to deliver fast, predictable solutions for customers on the Guidewire journey. We realized that one critical area where we could have a big impact on reducing customer costs is standardizing solutions for the most common integrations. That’s why we created the Cloud Integration Delivery Service. ... Read More >
It has been difficult for the insurance industry to formulate a proper vision for their use of predictive analytics. Executives who set their company’s direction tend not to understand the scope of what is possible and lack direct experience with the benefits and challenges. Conversely, those who do have more experience and understanding tend not to be in a position to establish a corporate-wide vision. ... Read More >
La version Aspen de Guidewire InsuranceSuite fait entrer les assureurs IARD dans une nouvelle dimension et leur permet d’atteindre une agilité jamais vue auparavant. Grâce à des solutions qui permettent une réelle autonomie aux utilisateurs métier, accélèrent le lancement de produits et facilitent la transformation numérique.... Read More >
Predictive analytics involves just that: prediction of the future. It is an inherently uncertain activity. While there are any number of metrics that can convince that a predictive model will indeed provide useful information, nothing proves the value to an organization as much as a verified success story. In addition, even good predictive models can begin to deteriorate over time as the data on which it is based gets older and older. A need exists to track this to know when to update a model. ... Read More >
Collecting and analyzing data does not provide business value. Improved business processes that are more accurate and efficient provide business value. Without embedding a predictive model into a relevant business process, all the work and cost put into predictive analytics will be for nothing. Yet the implementation of predictive models has been an afterthought for many insurers. ... Read More >
Business intelligence looks at historical data to provide information about a company’s operations and performance. This can provide valuable insight but has limitations for predicting the future. Simply looking at historical patterns does not tell us how much of what we see in the data is a reliable pattern that can be depended on to continue – what we will refer to as “Signal” – and how much is due to random chance or unknown variables – what we will refer to as “Noise”.  ... Read More >
Data is a purpose-driven asset. It is collected for specific reasons to meet specific needs. The structure of a given set of data is driven by the immediate purpose as well. Data models used to create efficient daily processing are not those used for efficient storing, and yet the structures which facilitate easy access for reporting and business intelligence are different. ... Read More >
Insurance companies are organic institutions that evolve over time. The industry trailblazers in using predictive analytics faced new challenges and had to find their own solutions, but they experienced the benefit of first-mover status. Because the technology available was simultaneously evolving at a rapid pace, competitive advantages were found in investing in cutting-edge expertise and tools. ... Read More >
Remote Desktop Protocol (RDP) enables a user to remotely access another computer or server. RDP is built into Windows, and RDP clients exist for Linux, macOS, iOS, Android, and other operating systems. Because users can fully engage with a system from any location, RDP functionality is highly desirable. The need for such a functionality is amplified during the COVID-19 pandemic, when most of the workforce is adjusting to working from home. ... Read More >

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