Doubts and difficulties in implementing Artificial Intelligence in historically established sectors.

4 March 2024 WEIJI

Doubts and difficulties in implementing Artificial Intelligence in historically established sectors.

Artificial Intelligence (AI) represents one of the biggest revolutions in the modern technological landscape. However, the adoption of this innovative technology in historically established sectors is not without its challenges and uncertainties.

Resistance to change

One of the main obstacles in implementing AI is the resistance to change on the part of companies and professionals. In established industries, where traditional processes have been established for decades, the adoption of new technologies can be viewed with distrust and fear. It is crucial to educate and involve employees throughout the transition process, showing them the benefits and opportunities that AI can offer.

Data Security and Privacy

Another common concern relates to data security and privacy. With AI requiring huge amounts of data to train its models, companies face significant challenges in ensuring the protection of sensitive customer and employee data. Implementing stringent data security policies and adopting advanced encryption technologies can help mitigate this risk, but this, like many other interventions, has significant costs.

Lack of technical knowledge

Many established industries can also face a lack of technical knowledge needed to successfully implement AI. Skills in the fields of data science, machine learning and data analytics are essential to exploit the full potential of AI. Companies can meet this challenge by investing in the training and skills development of their employees or by collaborating with external experts. 

We would like to quote here Jacopo Cossater who, in his article on Intravino.com dating February 2024, reports his thoughts on the speech of Regine Lee, Master of Wine and CEO of Indigo Wines in London, at a Wine2Wine 2023 meeting. The field is wine, thus an industry extremely rooted in territory and history. 

“It is a fact that over the years the technologies available to wine businesses have changed significantly, highlighting a market that is constantly evolving. Artificial intelligence has the potential to completely revolutionize the approach of wineries towards their customers and generally improve business processes. Part of customer service can be entrusted to an artificial intelligence system, which can also be useful for gathering feedback on customers’ experience with the service or bottles. Furthermore, why not delegate the task of suggesting pairings directly to AI? ‘Not sure what to pair our Sangiovese with? Ask it on our website and you will receive a real-time answer based on the ingredients available to you’. AI can also provide information on how to store, serve and taste wine if it is well directed.”

Interpretation of AI results

Even once implemented, the interpretation of AI results can be a problematic area for many companies. AI models can produce results that are complex and difficult to understand for those without a technical background. It is crucial to invest in improving the transparency and explainability of AI models so that users can fully understand how results are generated and make informed decisions.

High costs

Finally, the costs associated with AI implementation can be another significant obstacle. Developing and implementing AI models requires considerable financial resources, which may not be affordable for all companies, especially in industries where profit margins are already thin. However, many companies are exploring collaborative business models, such as subscription-based services or the adoption of cloud solutions, to make AI more accessible to small and medium-sized businesses as well.

In conclusion, the adoption of AI in historically established industries is a tremendous opportunity for companies to improve operational efficiency, innovation and competitiveness. However, addressing the doubts and difficulties associated with AI implementation requires significant commitment from companies and their leaders. Through education, transparency and collaboration, it is possible to overcome these obstacles and reap the full benefits of AI in the real world.

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