Lavan Financial Group

www.lavanfinancialgroup.com

Helping organizations succeed with data science. Digitize business models and processes using AI to scale and future-proof while mitigating critical risks. Accessible end-to-end data science through a platform just like any other web service. A data science platform enables evaluation and building higher-quality business-aligned machine learning (ML) models. It increases business flexibility through enterprise-trusted data that supports data-driven business objectives with easier. Many other firms are of sufficient scale & complexity to derive substantial value from data science but lack the expertise to advance The option of buying off-the-shelf technologies from AI vendors can work for smaller firms or where applications require minor customization. But as business complexities increase, the application of AI becomes progressively targeted & strategically important. Companies that rely solely on plug-and-play AI solutions jeopardize long-term value creation Using data science & AI to support business-critical decisions makes it vital to understand what AI is doing and why. Is it providing valuable contextual insight or making accurate, bias-aware decisions? Does it violate privacy regulations? Can you govern and monitor the models to ensure compliance with progressive regulations? Data science & the use of AI bring unlimited potential, but with great potential comes significant risks. Expertise trained in AI is needed to develop unique solutions that enable scaling of volume, quality but also mitigate growing regulatory risk

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Helping organizations succeed with data science. Digitize business models and processes using AI to scale and future-proof while mitigating critical risks. Accessible end-to-end data science through a platform just like any other web service. A data science platform enables evaluation and building higher-quality business-aligned machine learning (ML) models. It increases business flexibility through enterprise-trusted data that supports data-driven business objectives with easier. Many other firms are of sufficient scale & complexity to derive substantial value from data science but lack the expertise to advance The option of buying off-the-shelf technologies from AI vendors can work for smaller firms or where applications require minor customization. But as business complexities increase, the application of AI becomes progressively targeted & strategically important. Companies that rely solely on plug-and-play AI solutions jeopardize long-term value creation Using data science & AI to support business-critical decisions makes it vital to understand what AI is doing and why. Is it providing valuable contextual insight or making accurate, bias-aware decisions? Does it violate privacy regulations? Can you govern and monitor the models to ensure compliance with progressive regulations? Data science & the use of AI bring unlimited potential, but with great potential comes significant risks. Expertise trained in AI is needed to develop unique solutions that enable scaling of volume, quality but also mitigate growing regulatory risk

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Country

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State

Connecticut

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City (Headquarters)

Stamford

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Employees

1-10

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Founded

2014

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Social

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