2. The labor market will face a shortage of specialists with AI skills

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According to RELX Group, the implementation of AI and machine learning will be crucial for both public and private organizations that want to remain competitive in the era of digital transformation. However, despite numerous analysts’ predictions, not everyone is ready for the arrival of AI. A survey conducted by the firm showed that no more than 18% of CEOs surveyed are ready to increase investments in AI and machine learning.

There is already a shortage of skilled engineers working with AI and related technologies, such as neural network training projects, but it will become more acute over time. “Most organizations have already outlined their digital implementation plans, and AI is a big part of them, but the problem is that they don’t have the developers, AI experts, and linguists to develop their own AI engines,” says Pat Calhoun, founder and CEO of virtual support agent developer Espressive.

There are more and more companies developing kazakhstan whatsapp data for call centers and technical support services. Their task is to develop chatbots for clients, the installation and maintenance of which does not require special technical expertise. However, in the early stages, to achieve maximum coverage of the business audience, specialists who understand the subject will be needed. “Considering that a lot of AI software has appeared on the market that can solve myriad issues, it is time to learn the mechanics of decision-making, what is hidden in the ‘black box’,” said Rahul Kashyap, CEO of Awake Security. “AI algorithms are trained, structured, and receive information in different ways, which, accordingly, affects the final output, which will vary from company to company.”

3. Train your own AI specialists
Jeff Reil, CTO of LexisNexis Legal and Professional, says forward-thinking technology leaders aren’t going to wait for the market to fill up with AI developers before they start training them next year. The acute shortage of data scientists or AI developers could last for years, and hiring and maintaining them would require huge salaries and benefits that few employers can afford.