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This infusion of additional capital allows Gradient to expand its product offerings, accelerate its customer acquisition plans, and expand its Board of Directors with the addition of Kyle Beatty, Managing Director at American Family Ventures. Kyle brings deep domain and investing expertise in insurtech, data analytics, and enterprise software platforms, including prior leadership and product positions at Verisk Analytics, Willis Towers Watson, and Risk Management Solutions.
Gradient’s artificial intelligence solutions help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies. The Gradient software-as-a-service (SaaS) platform boasts a proprietary dataset comprised of tens of millions of claims, which is complemented with several economic, health, and litigation datasets. This robust aggregation of data provides out-of-the-box claims and u
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2 hours ago
Funding to Meet Demand and Drive Further Growth of Its Artificial Intelligence and Machine Learning Solutions
BOSTON–(BUSINESS WIRE)–Gradient AI, the leading enterprise software provider of artificial intelligence solutions in the insurance technology space, announced today that it has raised $20.0 million in a Series B financing led by American Family Ventures with participation from principals from Stone Point Capital, and BSC Capital as well as existing investors MassMutual Ventures, Sandbox Insurtech Ventures and Forte Ventures.
This infusion of additional capital allows Gradient to expand its product offerings, accelerate its customer acquisition plans, and expand its Board of Directors with the addition of Kyle Beatty, Managing Director at American Family Ventures. Kyle brings deep domain and investing expertise in insurtech, data analytics, and enterprise software platforms, including prior leadership and product positions at
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Global Deep Learning in Medical Image Processing Market to 2030 with IBM, GE Healthcare and Google Entering into Strategic Alliances with Big Pharma Players
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The Deep Learning Market: Focus on Medical Image Processing, 2020-2030 report features an extensive study on the current market landscape offering an informed opinion on the likely adoption of such solutions over the next decade. The study presents an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this domain.
One of the key objectives of this report was to estimate the existing market size and the future growth potential within the deep learning market (medical image processing segment), such as global radiology spending across countries, number of radiologists employed across different regions of globe, annual salary of radiologists, rate of adoption of deep learning-based solutions, we have d
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