How Big Data is transforming the insurance industry: Cindy Maike


The insurance industry is built upon predictive analytics. Investments and risks are made for the future, based on based on a predictive variable perspective. Big Data and analytics are at the heart of this industry.

However, as a more than 500-year-old industry, the insurance industry is suffering from a cultural problem and struggling with embracing new technologies.

Another highlighted problem is that people move within the industry which means there are no fresh perspectives and insights. The same people move around with the same ideas. There is a need for fresh blood.

That’s where companies like Hortonworks are helping these industries. I sat down with Cindy Maike, VP Industry Solutions & GM Insurance, Hortonworks to understand how they are helping the insurance and healthcare industries in embracing Big Data.

Maike’s role at Hortonworks is to evangelize such technologies and leverage data and analytics to solve business problems.

“We need people that are out there driving thought leadership in different ways. How do we learn from the connected communities, connected economies, and connected ecosystems to improve? Just look at companies like Google and Amazon who are becoming the revolutionary arm to change the insurance industry,” she said.

“It’s fantastic being able to leverage technology in a different perspective than what we did in the past in our respective industries,” she said.

Big data technologies are not only helping the insurance and healthcare industries acquire big data perspective through reporting and dashboards, but it also enables them to innovate further. These companies are innovating in the areas of telematics, data sources and deep learning to create better predictive models.

Maike also talked about her journey and touched upon the status of diversity in the tech industry.

Check her entire interview on YouTube & Soundcloud.

Here is the timestamp:

Swapnil Bhartiya
I have more than 12 years of experience covering Enterprise Open Source, Cloud, Containers, IoT, Machine Learning and general tech. My stories cover a very broad spectrum - traditional Linux, data center and Free Software to contemporary emerging technologies like 'serverless'. Widely Read: My stories have appeared in a multitude of leading publications including CIO, InfoWorld, Network World, The New Stack, Linux Pro Magazine, ADMIN Magazine, HPE Insights, Raspberry Pi Geek Magazine, SweetCode, Linux For You, Electronics For You and more.
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