Data Integration Data Quality Insurance Risk 
CIO Business Intelligence
MARCH 4, 2024
In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. To learn more, visit us here.
Cloudera
SEPTEMBER 7, 2023
With AI, financial institutions and insurance companies now have the ability to automate or augment complex decision-making processes, deliver highly personalized client experiences, create individualized customer education materials, and match the appropriate financial and investment products to each customer’s needs.
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DataKitchen
OCTOBER 20, 2023
While this is a technically demanding task, the advent of ‘Payload’ Data Journeys (DJs) offers a targeted approach to meet the increasingly specific demands of Data Consumers. Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap.
CIO Business Intelligence
APRIL 29, 2022
Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.
CIO Business Intelligence
APRIL 28, 2022
Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.
erwin
FEBRUARY 19, 2021
It involves establishing policies and processes to ensure information can be integrated, accessed, shared, linked, analyzed and maintained across an organization. Is it sensitive or are there any risks associated with it? Metadata also helps your organization to: Discover data. Harvest data. Better data quality.
Octopai
JUNE 26, 2020
Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Without metadata, the organization is at risk of making decisions based on the wrong data.”.
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