DataCubes recently migrated to a modern microservices architecture, using Docker-based containerization. In doing this, we’ve joined a large number of tech giants, traditional companies and fast-growing startups who have gone public about their move to microservices architecture. These companies range from Airbnb, Amazon and Comcast, to Netflix, Uber and Walmart.
I’ve always been an entrepreneur. Either consciously, or just by habit, I have always looked for more advanced solutions to solve problems. From when I was living on a farm as a boy to this very day, finding innovative ways to add value has always been front and center for me.
Being a 10-year veteran of the insurance and financial services industries, I have seen hundreds of companies execute successful digital transformation initiatives, and others fail. After careful observation, I have discovered what characterizes a winner. Here are some of the best practices on how any carrier can help build insurtech success.
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.
We recently changed one of our product names from d3 Prefill™ to d3 Answers™. This was a very deliberate change based on the product’s core function to automate a critical point of decision-making within the commercial underwriting process. Both names leverage our concept of d3: Data. Discovery. Decision.®. So, what is the difference between “Prefill” and “Answers” then? To best explain, I need to go back in time to when I saw my first prefill demo:
When you talk about insurtech innovation, many think of Silicon Valley as its natural geographic center. After all, Silicon Valley has been home to many great technology innovations dating back to World War II. To this day, it still gets a disproportionate share of VC funding and startup headlines. However, despite all the glory in Silicon Valley, the truth is the Midwest holds key advantages for an insurtech startup that many startups have yet to realize.
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).