Author name: Vaibhav

🔊 Hear the "Success Story" About the Customer: As a part of our home-grown technology and innovation, we have used AI and AEM to come up with a powerful solution for all our Adobe and AEM users. We at Embitel have developed this AI integration solution to streamline processes, resolve existing challenges, and position the

🔊 Hear the "Success Story" About the Customer: Our customer is a leading financial subsidiary based in India, specializing in asset management services. They have a strong focus on providing investment solutions, manage large portfolios and offer a suite of financial tools to both individual investors and institutional clients. Our customer sought to enhance the

🔊 Hear the "Success Story" About the Customer: A leading diversified healthcare company based in the United States, providing a range of services including health insurance, data analytics, and healthcare management. Business Challenges: Required BI (Business Intelligence) reports to streamline the delivery process and reduce the turnaround time for life-saving drugs. Needed to monitor and

🔊 Hear the "Success Story" About the Customer: Our customer is a leading on-demand service platform in Southeast Asia, offering a range of services including food delivery, ride-hailing, and digital payments. Founded in 2010, it has rapidly expanded to become a key player in the region’s tech and transportation sectors. Business Challenges: Our customer needed

🔊 Hear the "Success Story" About the Customer: Our customer is a US-based leading provider of cybersecurity solutions worldwide. They offer their users comprehensive protection with advanced threat intelligence and integrated security platforms. Business Challenges: Difficulty in capturing audience engagement based on user activities and personalizing the journey according to search intent. Issues with Target

🔊 Hear the "Success Story" About the Customer: Our customer is a leading automotive company with global operations focused on enhancing vehicle data management and operational efficiency. Business Challenges: Lack of Real-Time Insights: The customer faced difficulties in monitoring vehicle data streams, leading to inefficiencies in decision-making and response times. Data Overload: Managing and interpreting