TechCrunch
AUGUST 25, 2021
Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.
TechCrunch
JANUARY 9, 2023
Superscript , an insurance broker and tech platform targeting SMEs and “high-growth” tech firms, has raised £45 million ($54 million) in a Series B round of funding. Founded out of London in 2015, Superscript constitutes two core insurance businesses: an online-only “self-serve” platform that’s available to U.K.
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TechCrunch
OCTOBER 13, 2020
million to its cash haul so it can roll out its technology developing auditable machine learning tools for automating hospital billing. thanks to complicated coding that needs to be entered to ensure insurance providers pay for the services medical professionals give to patients.
O'Reilly Media - Data
JUNE 5, 2018
Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.
TechCrunch
APRIL 12, 2022
Processing claims at scale presents a challenge for insurers, particularly where the claims entail factors like complex underlying health conditions. A growing cohort of startups including Alan, Tractable and Snapsheet offer tools to help customers navigate through the insurance claims process. ” Accelerating insurance claims.
TechCrunch
JANUARY 7, 2022
The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. That data is turned into audio and analyzed by machine learning algorithms in the cloud. The key here: real-time information.
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