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Superscript, a bespoke insurance provider for SMEs, raises $54 million

TechCrunch

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.

Insurance 305
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Cowbell raises $100M to build out its AI-based cyber insurance platform for SMBs

TechCrunch

Cybercrime is on the rise, and today an insurance startup that’s built an artificial intelligence-based platform to help manage the risks from that is announcing a big round of funding to meet the opportunity. The company — based out of Pleasanton and active so far only in the U.S.

Insurance 260
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Southeast Asia insurtech Igloo increases its Series B to $46M

TechCrunch

Igloo develops its insurance products and then partners with insurers who underwrite their policies. Igloo currently works with 20 global, regional and local insurers across Southeast Asia. It distributes its insurance products through partnerships, and is partnered with over 55 companies in 7 countries.

Insurance 236
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Machine Learning: Unlocking the Next for Insurers

Coforge

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As extreme weather events worsen, 7Analytics meshes AI and big data to predict flooding

TechCrunch

One of these companies is 7Analytics , a Norwegian startup founded back in 2020 by a team of data scientists and geologists to reduce the risks of flooding for construction and energy infrastructure companies. market, 7Analytics today announced that it has raised $2.5 ” Startups to the rescue?

Big Data 233
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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models.