Artificial intelligence (AI) has become an essential tool for companies seeking to improve productivity and remain competitive. At WAYDEN, we understand the importance of AI and performance optimization.
Using AI can enable rapid data analysis, predict trends, facilitate strategic decision-making, and deliver customized solutions that strengthen team resilience and effectiveness in times of change.
This article explores the optimization levers that AI offers companies, developments on the HR side, as well as potential risks to watch out for.
What is Artificial Intelligence and its impact on productivity?
Artificial Intelligence (AI) is an advanced technology that enables machines to learn (machine learning), reason and solve problems autonomously.
By integrating sophisticated algorithms and machine learning models, AI can analyze large datasets, recognize complex patterns (so-called analytical AI) and make precise decisions (so-called decision-making AI).
Its impact on productivity is considerable: it automates repetitive tasks, improves operational efficiency and frees up time for employees, enabling them to concentrate on higher value-added activities.
What’s more, AI fosters innovation by offering predictive insights (predictive AI) and facilitating the development of customized solutions.
By adopting AI, companies can not only optimize their processes, but also remain competitive in an increasingly digital environment.
The top 7 AI optimization levers
Automating repetitive tasks
AI makes it possible to automate repetitive, time-consuming tasks, freeing up employees’ time to focus on higher value-added activities. AI brings much more than efficiency gains, it offers new ways of creating value. For example, chatbots can handle simple customer queries via conversational AI, while automated data processing software can take care of administrative tasks.
AI predictive analysis
Thanks to predictive analytics, companies can anticipate market trends, forecast customer behavior and adjust their forward-looking strategies accordingly. This enables operations to be optimized and decisions to be made based on accurate, real-time data.
Optimizing supply chains
AI can improve inventory management, logistics and production planning. By using machine learning algorithms, companies can forecast demand more accurately, reduce costs and minimize lead times.
Personalizing the customer experience
AI technologies analyze customer behaviors and preferences to deliver a personalized experience. This translates into improved customer satisfaction, increased loyalty and higher sales.
Improved human resources management
AI can facilitate recruitment by automating the sorting of applications and identifying the most suitable profiles. In addition, it can track employee performance, optimize schedules and offer personalized training.
Predictive maintenance
In industrial sectors, AI makes it possible to monitor the condition of equipment in real time and predict breakdowns before they occur. This reduces maintenance costs and production downtime.
Energy optimization
AI helps manage companies’ energy consumption, identifying cost-cutting opportunities and improving energy efficiency. Intelligent systems automatically adjust consumption levels as needed.
Tip: if you want to benefit from all these levers, opt for these innovative AI solutions for enterprises offered by PIUP.
The risks associated with AI
Data protection and security
The use of AI requires the collection and analysis of large quantities of data. It is crucial to protect this data against cyber-attacks and guarantee its confidentiality to avoid leaks of sensitive information. RGPD compliance is also a crucial issue for this potential risk linked to AI deployment.
Algorithmic biases
AI algorithms can reproduce and amplify existing biases in data. It is important to ensure the quality of the data used and to put in place mechanisms to detect and correct biases.
Technological dependence
Over-reliance on AI can leave a company vulnerable to technological failure. It is essential to maintain a balance between automation and human intervention.
Negative impact on employment
The automation of tasks can lead to a reduction in low VA jobs. Companies need to anticipate these changes and put in place retraining and continuing professional development strategies for their employees. However, in sectors that have already deployed AI on a large scale, we are seeing up to 25% pay rises for employees with skills related to this technology.
Implementation costs
Integrating AI into business processes can be costly. It is important to assess the potential costs and benefits before making significant investments.
Among the three conditions that would favor the development of an AI project:
- Homogeneous markets.
- Data available for collection and identical on several sites.
- An organization that can achieve economies of scale.
If your company meets these conditions, then it can consider setting up an AI MVP with profitability at stake. Nevertheless, certain sectors such as energy or aeronautics can deploy AI projects on a large scale and still have a substantial ROI.
Ethical issues
The use of AI raises ethical issues, particularly with regard to surveillance and privacy. Companies need to adopt responsible and transparent practices regarding the handling of employees’ personal data collected by AI.
AI skills on the rise and in high demand
- The sector with the most consistent growth in positions with AI skills is intellectual professions.
- Finance is also looking for AI skills.
- CIOs are directly concerned by AI skills (5X more roles where these skills are in demand).
- Industry is the sector where AI-skilled labor is most in demand.
- More than ⅔ of the world’s business leaders expect AI to foster the development of new skills in their teams.
- 87% of CEOs who have already deployed AI hold this view.
