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Conversational AI: How GenAI and LLM are Redefining the Landscape of Global Business Conversations

Written by Gerardo Salandra, CEO of and Chairman of The Artificial Intelligence Society of Hong Kong

Artificial Intelligence (AI) and its ever-advancing capabilities have instigated the next great technological revolution. While its implications are far-reaching, a strong demand in the global business world is the innovative ways it can connect businesses with customers, partners, and employees. One technology that has emerged as a game-changer is Conversational AI.

Powered by groundbreaking advancements like machine learning Generative Adversarial Networks and Large Language Models (LLM), Conversational AI is fundamentally changing the way we process data and execute tasks, revolutionizing global business conversations. Conversational AI is the use of artificial intelligence to enable natural, human-like interactions between computers and humans, optimizing a business’ conversation cycle with chatbots, virtual assistants, or automated agents. In our industry, a common use case is teaching it a business’ knowledge base to provide customers with accurate responses immediately. That’s the part most AI-backed business chatbots can already do.

What makes companies stand out in a saturated market is the core solutions they built first. New AI-powered solutions depend wholly on the AI’s capabilities and have no fallback or supporting infrastructure. Meanwhile, companies that have long invested in setting up solid core solutions amplify their value with AI. In customer conversation management, for instance, this includes having a robust data infrastructure in place to leverage historical data for more contextual interactions, or the ability to integrate AI into automated workflows that enable seamless handoffs to human agents when necessary.

AI is going to exceed human performance – in some industries much sooner than others – but advancements in Generative AI (GenAI) and LLM are taking Conversational AI to the next level today. Businesses in melting pots like the Middle East often work with customers and partners from diverse backgrounds, and GenAI and LLM-powered Conversational AI can seamlessly switch between languages to break down linguistic barriers and expand the global reach of businesses highlighting the importance of neural networks.

In fact, GenAI and LLM-driven Conversational AI systems have already significantly improved natural language understanding by comprehending context, nuances, and user intent better than ever before. They engage in more meaningful conversations with users, leading to better customer experiences where personalization is a key driver of engagement and loyalty.

Personalisation here goes beyond just addressing customers by name; it involves understanding individual preferences and tailoring responses and recommendations accordingly. They can learn and adapt in real time, analyse the success of previous interactions, identify areas for improvement, and refine responses accordingly.

Conversational AI is an integral part of operations for thousands of customers in industries such as healthcare, e-commerce, logistics, and education, and the impact that GenAI and LLM-driven Conversational AI is having is clear. In retail, for instance, businesses likely use Conversational AI to provide personalised shopping recommendations, assist customers with product inquiries, and streamline the online shopping experience. As for healthcare, GenAI and LLM-powered virtual assistants are helping providers schedule appointments, answer frequently asked questions, and provide medication pick-up reminders, improving patient engagement and care.

Educational institutions also run neatly integrated AI messaging channels, affording remote and online learners the same access to resources as those in physical classrooms while banks, financial, and insurance institutions – where the market for chatbots is expected to surge to $7 billion by 2030 – are using Conversational AI to enhance customer support, automate routine transactions, and provide advice. E-commerce, too, is seeing online marketplaces leverage the technology by assisting with product searches, order tracking, and customer inquiries; while the travel industry is using AI-driven chatbots to support booking accommodations, provide travel information, and deliver personalized recommendations.

Customer expectations have evolved in tandem with this. The majority of customers across various industries expect businesses to be available 24/7 and to provide immediate responses to inquiries, with 80% of customers reporting positive experiences when using chatbots to solve problems. Sales, on average, increase by 67% when chatbots are used. Conversational AI boasts exponential possibilities, and the landscape of global business conversations is also evolving to keep pace with the technology as it advances. While we can’t perfectly predict the way it will go, we do see certain possible trajectories.

For one, Conversational AI systems will become even better at recognizing and responding to human emotions, leading to more empathetic and emotionally intelligent interactions. It will also benefit from increased automation, where it can take on more complex tasks and processes across industries, freeing up employees to focus on complicated or unusual tasks that require creative problem-solving.

We can also expect to see specialised Conversational AI solutions tailored to the unique needs of specific industries, such as legal, education, and manufacturing. Research estimates that by the end of this year, the retail, banking, and healthcare sectors will see annual savings of $11 billion thanks to chatbots, with consumers and businesses tipped to save 2.5 billion customer service hours. As technology advances, the speed at which it completes increasingly complex tasks will quicken inexorably.

The number of marketers worldwide who used AI for digital marketing jumped from 29% to 84% in just two years. And that was in 2020. By 2030, the market for Conversational AI is expected to top more than $32.5 billion. Businesses that don’t hop on the Conversational AI bandwagon soon will find it detrimentally difficult to keep pace with competitors that are quicker to contend with orders, customer concerns, and crucial conversations.

However, early adopters who incorporate Conversational AI into their operations and customer interactions will find exponential rewards in results such as faster response and resolution times, as well as increased conversions, revenue, and customer satisfaction. The future belongs to those who harness the transformative potential of AI-powered conversations, forging stronger connections with customers and partners, and leading the way toward a more efficient, personalized, and digitally-empowered era of business.

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