It’s not just insurance industry leaders who have taken notice of DataCubes’ role in modernizing commercial insurance. Computing industry giant Intel® –the company whose processors are “inside” most of the world’s computers and run a majority of real-world artificial intelligence – has also taken note. Allyson Klein, a marketing director at Intel, recently interviewed me for her Chip Chat podcast to learn how DataCubes uses AI techniques such as computer vision and machine learning, along with our unique data lake, to remove friction in the underwriting process.

Allyson was especially interested in hearing how DataCubes is helping underwriters win business by providing faster quotes based on a more complete and accurate assessment of the customer’s risk profile. I explained how DataCubes’ d3 Underwriting™ platform is able to streamline data gathering and add insurance-specific intelligence, providing our customers with an enriched view of the customer, scored to match the carrier’s risk profile.

We talked about how, in the words of one of our customers, we create super underwriters who can get through more quotes in a given time period and focus their efforts where they can be most effective. This in turn opens up a new world for carriers to drive profitable growth, introducing new products and services that are consistent with their brand and their growth strategy.

We also discussed how AI and Intel processors enable an emerging startup like DataCubes to innovate on a large scale and compete with some of the largest companies out there. ”It’s exciting to see the innovation you’re driving to such a large and important industry that’s been around for hundreds of years,” Allyson said.

Listen to the podcast here, or search for Intel Chip Chat Episode 670 on your favorite podcast app. 

Underwriters play a crucial role in the success of the insurance industry. However, it often requires a great deal of time, effort, and precision for underwriters to reach the desired results. As a seasoned specialist in the commercial insurance space, I would like to shed light on some of the catches every underwriter should look out for. Additionally, I will explain how technological advancements can augment the underwriting process by minimizing the potential complications which may arise.

The road to success is often long and turbulent. In my over 20 years of experience delivering technology solutions to the P&C insurance industry, I have seen many recurring mistakes that prevent the full value of a solution from being realized. In this post, I will cover the four most common ones, which can be easily avoided with a healthy dose of self-awareness and caution. 

As we frantically prepare for the holidays—the celebrations, gatherings and, for many, gift giving—it’s easy to forget what they are all about. End of year holidays not only provide much-needed downtime with family and friends, they also provide a time to reflect on the year and to celebrate our achievements.

Every day there are 2.5 quintillion bytes of data created. This means that more data has been created in the last 10 years than in all of human history. By 2025, the research group IDC predicts annual data output of 163 zettabytes (that is one trillion gigabytes).

On May 11, 1997, history was made. Deep Blue, the IBM Artificial Intelligence (AI) supercomputer, defeated Gary Kasparov, a world champion chess master, in a six-game match. This was the first time a machine ever defeated a world champion in chess and marked the beginning of a new era. However today, there are many cases where AI and humans are working together to achieve better results. As an example, an AI-enabled sous-chef called Chef Watson from IBM, is able to create recipes that help their human partners in the kitchen. This shows that AI and humans can work together to accomplish more. On a similar note, in the realm of commercial underwriting, until there are major changes in the modern world, human underwriters have a great opportunity to use AI to produce the best results.

This was my first year attending InsureTech Connect (ITC) and it did not disappoint! Held at the MGM Grand in Las Vegas, NV, the conference was an explosion of fantastic industry talent, thought leadership and ambitious ideas. It has grown from 1,500 attendees in 2016 to nearly 7,000 this year! Needless to say, I was neither able to attend nor write up every session and activity at the event, so this post will not cover all this conference had to offer, however it will give the highlights from my experience there.

This was my first year attending the AASCIF Annual Conference and it did not disappoint! Held at the JW Marriott within the Mall of America in beautiful Minneapolis, Minnesota, the conference featured some fantastic industry talent, thought leadership and local sightseeing. DataCubes was a proud sponsor of the event. A brief disclaimer: I was neither able to attend nor write up every session and activity at the event, so this post will not cover all this conference had to offer, however it will give the highlights from my experience there.

One of the cofounders of Airbnb, Brian Chesky, is famous for his 7 Star Design Principle. His approach starts with defining what a 5 Star customer experience looks like, then continues to push the boundaries, making it better and better, until the realm of possibility is left behind. He draws the line of what is possible at 7 Stars in his business, but his ideas go way beyond that. Take a look at how he defines each level within his part of the hospitality industry.

In recent years, I’ve seen multiple insurance software implementations, mainly core systems for policy, claims and billing administration. During this time, I’ve noticed a pattern of characteristics for nearly every implementation, mainly: