ARBENTIA highlights the importance of integrating generative and conversational artificial intelligence into the management ecosystem.
Artificial intelligence (AI) will continue to gain a presence in 2024, according to technology experts. Next year, proofs of concept will be left behind and real business deployments will begin.
So predicts consultancy ARBENTIA, which has a rosy outlook for the year ahead and offers a number of recommendations for achieving real value.
This starts with the integration of generative AI and conversational AI into the management ecosystem. Both technologies must communicate with internal transactional systems for customer, employee or product data, as well as unstructured databases from corporate websites and social networks.
“The explosive fusion of conversational AI – based on natural language – and generative AI is creating a completely new model for the interaction between people and technology in the workplace,” says Daniel Taboada, CEO of ARBENTIA.
“The next step for the optimal use of these technologies, however, will be their proper integration with business systems and data: a sine qua non condition for AI to generate a truly significant and measurable impact for businesses,” he stresses.
“The challenge is often not only technological, but also one of implementation and change management,” he says.” Despite its unquestionable potential, the effective implementation of generative and conversational AI in business is sometimes more difficult than it seems”.
ARBENTIA advises to “start with limited deployments in specific processes and use cases, involving users and proposing an execution model to reduce time to value, as well as relying on trusted and experienced partners”.
AI-powered chatbot applications reach areas such as HR, marketing and sales or support, impacting senior management and user and customer experience.
For the successful deployment of AI projects, another key aspect will be employee training. In addition, companies cannot ignore the social aspect of this technology and its ability to analyse both the content of the information collected and sentiment.
Added to all this is the importance of security, with internal factor control and ethical application of the tools. Hired professionals will need to understand that AI is not a threat to them, but an opportunity.