iCubesWire forayed into the technology segment by launching ‘INSTATALK’, an Artificial Intelligence platform to accelerate digital transformation for its clients. This product will facilitate instant communication with brands so that the customer’s requirements can be addressed immediately while lowering the costs through automation.
INSTATALK is a next generation interconnected network of digital technologies to bridge the gap between watching an advertisement and reacting to it. At times, the recall value gets affected when the customers have queries about a specific advertisement/brand but are unable to get instant responses. This product has been especially designed to answer consumers’ queries by implementing intelligence in machines to reduce the challenge of brand recall. It will further help sustain the brand and increase user engagement.
Speaking on the launch, Sahil Chopra, CEO and Founder, iCubesWire says, ‘‘we are thrilled to announce the launch of INSTATALK as the latest and one of the smartest additions to our product portfolio. It is a service that meets the end to end target of the customer leading to buying a particular product or service. The most interesting thing is InstaTalk is available on cross platforms right from videos, mobiles, mobile sites to advertising units wherein the customer can interact with the brand directly. Creating an impactful buzz is the ultimate objective of rich media innovation and this can only be achieved by receiving good ROI on advertising. We are certain that our new and existing customers will be as excited by the possibilities that INSTATALK will bring to their marketing efforts as we are’’.
According to a new research by PwC, global GDP will be 14% higher in 2030 as a result of Artificial Intelligence, which will contribute $15.7 trillion to the global economy. PwC further found that 62% of consumers are confident that AI can reduce the time required to answer their questions. AI has the potential to increase efficiencies with automated communications and alerts to enable more proactive approaches and to improve big data analytics.
