Artificial Intelligence is today a key factor of development and performance. Even if AI has been part of the company for a long time, technological advances now make it necessary to adapt AI to all sectors of the company. It plays a key role in competitive dynamics. Here is what you need to know about the industrialization of enterprise AI.
A mandatory transformation
Artificial Intelligence is increasingly used to perform tasks that only a human being could master in the past. The result is greater efficiency in all industrial processes. AI uses mental processes such as learning, memory and even critical thinking. It is therefore time to take advantage of all its benefits and integrate it into the life of the company.
Business leaders no longer even ask themselves the question: companies must absolutely use AI to remain competitive. Those who are at their first steps in this field no longer have the choice and must make the necessary transformations for optimal operation. The vast majority of companies will see the percentage of their budget devoted to AI increase significantly over the next few years.
Although most executives estimate that it will take about 5 years for their company's market to be transformed by AI, it is likely that more time will be needed for the industrialization of AI to be sufficiently integrated to create a competitive advantage. Outsourcing and partnerships are especially solicited to carry out this transformation.
Another way to facilitate the industrialization of enterprise AI is to use the Artificial Intelligence features of enterprise software. It will also be necessary to model and analyze the ways in which the company's data scientists work to optimize the potential of AI during the industrialization of the entire value chain.
The industrialization of enterprise AI will allow to refine the tools and improve the development languages in order to make them more efficient. The processors will have to be optimized for AI processing. Well-integrated Artificial Intelligence also helps to ensure that any model complies with regulations.
Improving internal operations
Internal operations are greatly enhanced and simplified by the use of AI. Product improvement is another obvious benefit of this new reality. Group strategies rely more and more on data exploited through Artificial Intelligence.
Of course, the optimization of internal operations allows the grouping and synchronization of investments within different groups. Thanks to data sharing, algorithms can better guide managers according to local realities and corporate structure. The development of solutions is facilitated and improved. Sharing feedback is another aspect that improves the fluidity of internal operations.
Adaptive algorithms are capable of modifying processed data or responses as their environment changes. This means that different results can be obtained by two executions of the same algorithm.
Companies have the choice to use several machine learning algorithms. They generally start by integrating the simplest before turning to the most complex algorithms. The more complex the algorithm becomes, the greater the accuracy.
Manage the risks associated with AI
It is important to keep some control in the management of the company's operations and not to rely blindly on AI in the decision making process. Cyber security issues must be considered during the industrialization of enterprise AI. Financial services and industrial services must be the subject of particular attention to avoid biased decision making that could have catastrophic effects.
It should be noted that a high proportion of company managers have already experienced problems related to cyber vulnerability in terms of Artificial Intelligence. Failures remain possible and it is important to remain vigilant and keep an eye on the reliability of the data.
High demand for qualified employees
Given the growing importance of AI, companies are looking for more and more employees in the field. It is no longer just a question of recruiting AI researchers, but also of recruiting data scientists capable of communicating clearly with all members of a company to help them in decision making and anticipating problems that may arise in the future.
The most advanced industrialized countries do not hesitate to invest massively in training to mitigate the impact of the profound transformations that are being prepared following the industrialization of AI.
Several training programs are based on AI Factories, regardless of the company's sector of activity. This community allows companies to benefit from a partnership that is both strategic and technical. Skills and innovation are the pillars on which this synergy is based. The talents disseminated in the different companies are brought together and federated, which facilitates data sharing.
AI still in its infancy
Despite the fact that AI is a priority for companies that want to remain competitive, many executives still consider themselves in the early stages of implementing Artificial Intelligence and see themselves as inexperienced in the field. Progress is slow, even though everyone recognizes that business transformation is necessary.
Leaders are also aware that the industrialization of enterprise AI is not a luxury but a way to stay on the same level as the competition. European companies must take advantage of the synergy between states to develop their business by taking advantage of all the possibilities offered by AI and to make partners benefit from it.
It is therefore obvious at all levels that the development of AI and the training of future employees in this field is a priority. The opportunities offered by AI must be understood and adopted at all levels of the company. In the long term, the task of employees will be simplified since they will be able to perform more complex tasks while AI takes care of the automatic operations.
Important benefits
The fields of application of AI help to improve the management of today's business and they will be more and more innovative in the future. Many companies are already using AI to sort information and automate the operation of the industry, freeing up staff for finer tasks. Certainly, companies' technology needs to develop further in order to exploit the full potential of Artificial Intelligence.
Indeed, the industry needs to be transformed in order to adapt to the possibilities offered by AI, which must become a true and full-fledged member of the enterprise. It is not only a question of saving time, but also of optimizing the potential of a company or organization in most aspects of its operations.
An important aspect of AI is that the quality of life of employees becomes better, which provides an indispensable motivation for the smooth running of operations. It has been shown that employees freed from tedious tasks and satisfied with their work environment show more creativity and allow the company to remain competitive. It becomes possible to focus and prioritize innovation.
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