Published on May 7, 2024, 2:10 pm

Generative AI, also known as Artificial Intelligence, has marked a turning point in the evolution and adoption of artificial intelligence technologies. Some Chief Information Officers (CIOs) in Italy initially viewed OpenAI’s ChatGPT with skepticism, wondering where the hype ended and real opportunities began. However, others saw the potential of Generative AI (Gen AI) to advance their AI projects due to its unique characteristics.

One such company embracing Gen AI is Alpitour World, a major Italian travel company deeply integrated into the tourism sector. Their projects involving Gen AI build upon previous AI adoptions. For instance, they developed “AlpiGPT,” an internal data search engine based on generative AI technology. According to Francesco Ciuccarelli, Chief Information & Technology Officer at Alpitour World, this marked a significant milestone.

Forrester’s 2024 predictions indicate that 60% of skeptics will appreciate Generative AI for applications like conversational assistants and content translation and synthesis. One growing application attracting CIOs is generative AI for coding tasks. Alessio Maffei from Inter-studioviaggi embraced this technology for programming on new platforms with remarkable benefits.

Telecommunications companies are utilizing generative AI to enhance network operations, customer service, marketing, sales, IT functions, and support services. This technology has the potential to increase annual value by $100 billion across global telecom companies with productivity gains ranging from $140 to $180 billion.

In Maffei’s case at Inter-studioviaggi, applying generative AI to software development opened avenues for broader usage within corporate IT. Overcoming initial doubts about ChatGPT led Maffei to streamline coding processes and significantly reduce project hours using multiple generative AI products.

Experimenting with generative AI promises enhanced efficiency in various business aspects like contract analysis, negotiation strategies, recruitment processes’ cost reduction through automated resume screening and candidate profile recommendations.

The flexibility and cost-effectiveness of open-system Generative AI models are gaining traction as companies explore coding activities with modern languages but seek long-term support solutions for levels of expertise.
Industries are also exploring specialized vertical applications like personalized messaging targeting specific customer segments or quickening document verification processes further demonstrating the versatility of Generative AI in diverse sectors.

Alpitour World’s journey with traditional artificial intelligence technologies dated back to 2018 culminating in launching their first chatbot by 2020 which paved the way for leveraging ChatGPT’s rapid advancements. The ability of Generative AI to adapt swiftly evolved models serves vital roles in generating customer-oriented content seamlessly.
By employing Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps), companies ensure efficient management and governance over rapidly evolving neural network-based technologies while adapting models for multi-faceted applications.
The convergence of IT-business operations facilitated by Gen-AI innovations cater to developing “game-changing” applications that drive efficiencies across various business functions resulting in shared value creation between IT and business departments.

Ultimately, Generative AI fosters collaboration between people and technology bridging gaps through user-centric feedback mechanisms leading to accelerated prototyping supported by user-oriented partnership facilitating seamless dialogue between IT infrastructure advancements and business requirements propelling organizational growth hand-in-hand with technological innovation.


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