Adding Deep Expertise to Catch Up to Demand in AI and ML Solutions
Gradient AI makes an addition of experienced and intellectual group of professionals to encourage expansion of the enterprise.
FREMONT, CA: The ace AI and ML solutions provider in the insurance tech domain, Gradient AI is actively expanding its departments of sales, customer service, data science, data engineering, and infrastructure to balance out the demand and enhance the growth of its solutions in AI and ML. Gradient AI has leveraged three industry sales executives to join its team and drive its swift development and delivery efforts.
By harnessing the advanced statistical techniques from AI, ML, and neural networks, to provide decision support and automation, Gradient AI caters to the commercial insurance industry. Being recognized and listed as one of the Top 20 Most Promising Artificial Intelligence Solution Providers in 2018 by CIOReview, Gradient AI focuses mainly on being accurate and specifically building to address claims administration, and underwriting of creeping CATS, treatments, reserving, fraud, loss prediction and many other issues.
“Our goal is to ensure that our data security is always equal to and even better than that of our clients. Most importantly, we want to empower our customers to invest their time in more value-adding aspects that would positively impact on their companies’ growth,” adds Stan Smith, CEO of Gradient AI. He has elaborated that the company welcomes the following professionals to maintain the client-centric view of the company:
Jay Thierauf, Sales Executive: equipped with an experience of more than 15 years in risk and insurance, Mr. Thierauf has worked with a range of enterprises to provide custom software.
Daniel Zimmerman, Sales Executive: The 12 years of gathered expertise in risk management has allowed Zimmerman to focus on solutions to reduce risks and automate the operations.
Joseph Gould, Sales Executive: With experience in extending enterprise software solutions for insurance and finance industries, Gould will focus on augmenting insurance companies with Gradient AI’s AI and Ml models.
Jonathan Sherrill, Client Executive: After gaining deep expertise in claims and underwriting, Sherrill will apply the business system analysis, value alignment, process automation, and database design.
Kiril Dubrovsky, AWS/Cloud Architect: joins Gradient AI with 20 years of experience in technical solutions delivery, implementation, and support of complex internet business operations. His knowledge will enable Gradient AI to build a platform both internally and with licensing to the clients.
Robert Smith, Data Engineer: He joins Gradient as a part of its investment in talent and technology to create powerful data sets utilized in training its AI and ML models.
Sai Haran, Data Scientist: He joins Gradient a Data Science Consultant. The addition of Haran signifies ongoing investment to construct new model solutions across multiple insurance lines of coverage.