The utilization of AI, ML, and IoT in delivering voice-enabled services to the customers can aid the organizations in taking the helm of the market.
FREMONT, CA: The digital transformation has caused far-reaching ripples across the business sector, transforming their products and services. Organizations that have adopted digital technology have witnessed significant growth in their processes. The incorporation of emerging technologies such as artificial intelligence (AI), machine learning (ML), internet of things (IoT) and blockchain has enabled organizations to automate their processes and achieve unparalleled growth.
The booming competition in the market is forcing organizations to divert their budgets from IT toward the optimization of their existing processes. To maintain a competitive edge, organizations are leveraging cost-effective approaches and artificially intelligent voice-enabled technologies to overtake their rivals.
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The most effective approach is the augmentation of specific operations through the utilization of cognitive technologies. It is time for organizations to reach beyond graphic user interfaces (GUI) and adopt voice-enabled systems. For instance, Amazon Alexa, Google Assistance, and Apple Siri have revolutionized human interaction with home and mobile devices.
The voice interface technology presents novel opportunities for organizations to leverage in growing their business. It will enable the enhancement of consumer experience, allowing greater operational functionality. Companies can also leverage the technology to monitor the health of the applications and raise alerts in case of emergencies.
Even today, voice-enabled technology is utilized across multiple sectors. Even in healthcare, it is used in patient-controlled delivery systems, wearable injectors, and microchip pills. It ensures improved patient experience through the incorporation of drug delivery systems with smart devices and voice interface systems to determine the effectiveness of treatments.
In this technological era, the utilization of application ecosystems offers several challenges to the organizations, including application analysis during failure, and the correlation of data collected from various sources. The integration of voice-based virtual assistant can facilitate access to actionable data concerning application health.
The AI systems can be trained to respond to the voice-based requests related to application monitoring, performance data, and health updates, enabling organizations to glean relevant data and insights. The ML algorithm ensures accurate mapping for event correlation and early prediction of application health problems. When digitalization is driving the change in customer expectations, it is imperative for organizations to deliver by adopting the best technologies.