We offer Tech Talent Development Program to groom young talents from diverse academic backgrounds into future leaders.
Powered by advanced algorithms, Artificial Intelligence – from machine learning, deep learning to natural language processing – transforms the interaction between technology and people intelligently, enabling a variety of other emerging technologies.
VIP customers are identified, while the gender, age, and sentiment of new customers are analyzed using video analytics and facial recognition. Customer profiles and purchasing history are recorded and encrypted using blockchain technology, allowing businesses to automatically send personalized promotional messages to up-sell and cross-sell products to drive sales.
Information can be drawn from various sources and in different formats, arising from operations and diversified knowledge.
Businesses may utilize social monitoring and big data analytics tools to manage brand reputation and collect thousands of comments in real time. It also helps to respond to specific text and voice commands with bots, helping customers save time and get their questions answered quickly. Through predictive analytics, corporates can capture business opportunities and predict unknown future events. Detailed dashboards also facilitate understandings to the brand image by outlining positive, neutral, and negative responses.
Passwords are no longer required. Fingerprint, facial, and voice recognition are used to ensure security. Meeting stringent regulations while providing a seamless experience for customers. Improve customer experience by gaining secure access to information.
We also provide Access Control, which is governed by two-factor authentication and is used to protect customer data while performing authorization identification, access approval, and entity accountability via login credentials.
Chatbots are artificial intelligence systems that interact with users via messaging, text, or speech. It can facilitate retailers to track purchase behavior, sense customers' moods, automate operations and refine customer engagement.
Researches have shown that customers have already developed their acceptance on chatbots with 65% of consumers feel comfortable handling an issue without a human agent. As a result, the global number of successful retail chatbot interactions is estimated to reach US $22 billion by 2023, up from an estimated US $2.6 billion in 2019.
The use of artificial intelligence (AI) and machine learning (ML) technology is closely tied to personalization objectives for marketers. In fact, 84% of digital marketing leaders believe using AI/ML enhances the marketing function’s ability to deliver real-time, personalized experiences to customers. By 2027, chatbots will become the primary customer service channel for roughly a quarter of organizations, according to Gartner, Inc.