Revolutionizing Enterprise AI Insights: JK Tech’s JIVA Platform Utilizes Gen AI for Improved Data Accessibility and Reduced Errors.

JK Tech remains grounded in reality with its AI business insights offer, according to Blocks and Files

Global digital consulting firm JK Tech has recently unveiled its JIVA platform, which leverages Google technology to enhance enterprise AI data insights. The platform uses generative AI (Gen AI) technology to improve data accessibility, precision, and reduce errors commonly seen with traditional large language models. For example, the implementation of Gen AI in the automotive insurance sector has resulted in chatbots that aid in claim registration, reducing claim handling time by 50 percent.

JIVA utilizes advanced Gen AI technologies that rely on Google’s Knowledge Graph and other tools to create a dynamic interconnected graph that promotes traceability and contextual understanding. The in-context training and reasoning engine in JIVA allows for deeper comprehension and more accurate conclusions to be drawn. Additionally, the platform features Nodal Level Security, a unique aspect that integrates enterprise access management to ensure secure data access and prevent data misinterpretation.

Dipankar Ganguly, the Chief Technology Officer of JK Tech, emphasizes the importance of data in strategic decision-making and innovation for organizations. He believes that harnessing the full potential of Gen AI can drive digital transformation in businesses. JK Tech offers customization, integration, training, and implementation services catered to specific needs, with ongoing support to ensure the success of customers’ Gen AI initiatives in an ever-changing business landscape.

JK Tech focuses on industries such as retail, consumer products, insurance, financial services, and healthcare all of which are looking to implement AI in effective and meaningful ways. The company remains committed to driving innovation and leading the way in the evolving business environment through their AI solutions.

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