weav.ai | AI-in-a-box for Enterprises
Neal Silbert is a seasoned executive in the insurance and data analytics sectors, currently serving as Chief Product Officer and GM of Insurance at weav.ai since May 2024, overseeing product and go-to-market strategy. Previously, Silbert co-led the AmFam Data Science Institute at American Family Insurance, fostering partnerships with the University of Wisconsin Madison, while also playing a key role in establishing a new auto product management center. With experience as Senior Vice President at Insurance Industry Advisors and General Manager at DataRobot, Silbert has focused on advanced analytics in the insurance industry. Earlier positions include Predictive Analytics Vice President at Zurich North America and various roles at IBM and SPSS, contributing to the development of predictive models and analytic strategies. Silbert holds a BA in History from the University of Chicago.
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weav.ai | AI-in-a-box for Enterprises
Business leaders and analysts are eager to use AI to predict, forecast, and optimize business outcomes, improve marketing ROI, enhance customer experience, and turbocharge employee productivity. But building enterprise AI applications requires a small army of experts, can take months or years, and still yield hit-or-miss outcomes. Enter weav.ai, the AI-in-a-box platform for enterprises. weav.ai's no/low-code approach makes it easy and fast for business users to create the AI apps they need while leveraging their existing skillsets, data sources, and clouds, and puts the latest AI innovation at their fingertips. With weav.ai, enterprises can access AI as easily as a spreadsheet.