Viber is a powerful channel for festive promotions and conversational marketing. Reach customers with rich messages, higher engagement, and measurable results.

Hybrid AI models combine automation and human control to improve efficiency, scalability and competitiveness in modern business environments.

A roundtable discussion on why adopting AI is critical for business competitiveness, long-term growth and staying ahead in a rapidly changing market.

AI-based voice bots, featuring natural language processing and speech recognition, are becoming key to improving customer experiences and optimising business operations. Already prevalent in Scandinavia and the US, this technology enables modern and efficient communication between businesses and customers. Forward-thinking companies will leverage voice interfaces, such as Siri and Alexa, and natural conversation capabilities of ChatGPT to significantly improve both customer experience and call centre operations. Let's take a look at how these voice bots work, the wide-ranging benefits they offer and the challenges faced by companies already deploying them. How voice bots work AI-powered voice bots are not just automated answering machines; they are complex systems designed to mimic human interaction naturally and intuitively. Their advantage lies in their growing resemblance to live agents while giving users a greater degree of anonymity as well as faster resolution of requests. Voice bots are based on several key technological components: Automatic speech recognition (ASR) converts speech into text and lays the foundation for further interaction. Natural Language Understanding (NLU) analyses the text to identify key information such as intent and context. The conversation module uses the insights gained to formulate accurate and contextually relevant responses. The text-to-speech (TTS) system converts the textual responses back into speech, allowing bots to communicate naturally and understandably.

As a leading technology partner of Boost.ai, a conversational AI solutions provider, we are excited about the integration of the new Generative Action (GenAI) functionality that Boost.ai will be introducing into its conversational AI customer support services at the end of May. This will update and upgrade the capabilities of its conversational commerce platform, which now offers enhanced security features and other functionality to businesses using generative AI.  Generative AI is revolutionising customer service and creating new opportunities to support call and contact centre operations. However, around 80% of CEOs still struggle to deploy it quickly due to the associated risks and uncertainties. To address this, new approaches are being put deployed that combine the use of generative AI with the best management practices of traditional conversational AI, which Boost.ai has integrated into its Generative Action technology.

Online security has emerged as an increasingly common topic in the digital world, both in terms of ensuring an adequate level of cybersecurity and protecting the privacy of users' data. In recent years, the rise of artificial intelligence has amplified the importance of privacy protection, forcing digital marketers to comply with the regulations and guidelines set out by the European Union.

Since GDPR came into force in 2018, many of us who work in marketing and deal with data processing in one way or another have grown impatient with the legal formalities surrounding the capturing and processing of personal data. However, the fact is that this is a crucial aspect of digital marketing and the foundation of a good user experience and, of course, legal compliance. In a world where chatbots have become an important part of business strategy, it is essential that everyone who processes EU citizens' personal data ensures a high level of data protection and transparency. The GDPR explicitly requires a high level of privacy and transparency in personal data processing, which is a particularly important consideration in the development of chatbots that frequently process sensitive information. Integrating privacy mechanisms directly into the operation of a bot ensures that privacy protection is built right into the bot technology from the start. In this context, stand-alone chatbots, which use their own databases and conversational algorithms, serve as an extra layer of security by not sharing personal data with third parties.

In the modern communication landscape, characterised by the increasing use of artificial intelligence (AI), customer expectations of communication are constantly changing. AI-driven smart conversational assistants have emerged as a key tool for companies to improve their relationships with customers as well as internally with employees and partners. These advanced tools allow companies to establish a continuous connection with various audiences, leading to better engagement and satisfaction.  Gartner predicts that AI will become a major driver of development and a significant investment for improving customer experience in the near future. Smart conversational assistants not only reduce response times to customer queries, but also personalise communication to revolutionise the way businesses interact with existing and potential customers.