Large language models act as large-scale automatic inference systems that learn a language by analysing its statistical properties. These models are not based on a solid fact base, but on the ability to generate plausible-sounding statements, which means that they can represent false information as true. AI development constantly evolves, which includes the renaming of these models. To help you decide, here are the key benefits of different models that conversational solution developers are integrating into their products. In particular, we want to introduce models that can be used as alternatives to ChatGPT, which we are also testing at 2Mobile for the development of conversational solutions.

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 recent years, the integration of Artificial Intelligence (AI) in sports has expanded beyond performance analysis and player scouting to improve the overall fan experience within stadiums. One of the innovation that caught attention by Kicker magazine editor are AI powered chat bots developed by 2Mobile, one of the leading technological company specialized in conversational solutions powered by AI in the region. Picture yourself watching a football match live in the stadium, enjoying a burger, purchasing a jersey – all without having to leave your seat. What seemed like a futuristic dream two decades ago has now become a reality, thanks to the increasing utilization of AI in sports. AI is now being employed in various facets of sports, including performance analysis, sports medicine, and scouting. It is even used to enhance the in-stadium experience. FC Maribor, a leading football club in Slovenia, was one of the first sport clubs that harnessed the power of this new techology. The club partnered with IT company 2Mobile and financial service provider Mastercard to implement a cutting-edge AI tool to facilitate seamless communication between fans and the club, thereby enhancing the stadium experience. This AI-powered Sports Chatbot allows Maribor fans to interact directly with the club around the clock via chat. It allows them to purchase tickets or merchandise, stay updated on the latest team news and player stats, participate in surveys and contests, and even order food and beverages from their seats.

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.

Interview with Salóme Rúnarsdóttir, Product Owner of Chatbot Fróði at Íslandsbanki

Internal bots are changing the rules of (co)operation in modern companies

I recently listened to a talk by John Larson of McKinsey & Company on the potential of using artificial intelligence (AI) for boosting productivity, accelerating innovation in service industries, and driving the change in user habits that will follow. Despite the doubts about the use of artificial intelligence and the distrust surrounding data security and credibility of information, I believe that the technological potential of new technologies is immense and that it will be crucial for further economic and social progress. At the same time, I believe that effective use of artificial intelligence requires strategic reflection, the use of proven solutions and controlled integration. By implementing AI strategically, companies can unlock the vast potential for service innovation and create a customer-centric environment that fosters growth and satisfaction for everyone.  The transformative potential of artificial intelligence for business is enormous McKinsey predicts that generative AI can add billions of dollars in new value to the global economy. In fact, McKinsey experts predict that the use of generative AI in conjunction with new products and business models will generate between $2.6 billion and $4.4 billion annually, with its significance growing exponentially over the coming years (estimated at approximately 15 and 40 percent annually). The development of AI-driven technologies will transform a variety of industries, including banking, technology, automotive and biomedicine, where its application value is expected to be the greatest. The widespread adoption of AI in more developed countries is already changing the nature of work by enabling the efficient automation of certain activities and increasing the capabilities of individual workers. McKinsey projects that generative AI and related technologies could automate up to 60 or 70% of the tasks currently performed by employees. It is therefore important for companies to think today about how they will redesign internal processes and the investments that are needed to support workers as they transition to new activities or develop new competences. Particularly, I see a promising opportunity in developing AI trainers' profiles.

For the past five years, I have been working intensively on the development and use of artificial intelligence (AI) for marketing and sales support and its deployment in business processes. The leap in performance, functionality and efficiency that AI has made in the past couple of months, while remarkable due to the rise of generative AI, did not come as a complete surprise to me. I am particularly pleased to see the growing appeal of the conversational AI services that 2Mobile has been integrating into Slovenian businesses since 2020. The answer is clear - all of us who are fascinated by cutting-edge technology have been enamoured overnight by ChatGPT and all the benefits it offers to users. I admit that I use it myself in my work, and that 2Mobile regularly uses and tests various AI tools for content creation that are already available. Our primary goal is to stay up to date with developments as we integrate established conversational AI technology solutions into the enterprise.