Increase the number of datasets in different languages
Right now, the problem with the growth of AI is the lack of quality data.

In the near future, there is a demand for quality data analysts.
Data quality is the main obstacle to GenAI
Legacy data architectures are holding back the adoption of generative AI
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No, he will remain in power, despite the rallies and discontent.
Despite the dissatisfaction of the generals with the Russian president for the appointment of a "non-military" Minister of Defense. He will not be overthrown until at least the end of 2024 for the simple reason that it is still better with a president than without him. Moreover, the president has already made concessions, signing an order to expand the staff and increase state support for the army.

But if the war drags on, then it is quite possible to expect an overthrow as a result of an uprising.
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Positioning AI as a threat allows you to increase sales and accelerate the adoption of AI, despite any prohibitions.
If the same phenomenon is presented to a person as a threat or as an opportunity, the threat causes a more intense and energetic reaction. When visionary leaders and technologists notice a disruptive process, they warn of an impending threat: the company may die if the technology brings success to its competitors. The threat must be eliminated: the company must implement the technology itself and allocate resources for its development or purchase.

It is necessary to convince top management to take the problem seriously, and for this it is necessary to present innovative technology as a threat in the resource allocation planning process. Then responsibility for the implementation of the project must be transferred to an outside, autonomous organizational unit, which will perceive it solely as an opportunity. This is exactly what marketing departments and the media are doing now, namely positioning AI as a threat and later as a solution.
The Innovator's Solution: Creating and Sustaining Successful Growth
Can Competing Frames Co-exist? The Paradox of Threatened Response
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In 2031.
Why is everyone talking about a bubble? 1) Huge investments with uncertain returns for many startups. 2) Thousands of AI startups that are essentially just a shell for other people's models. 3) High expectations: AI will replace everyone tomorrow. 4) Limitations of the models: hallucinations, high cost, dependence on data and computing power. OpenAI alone has attracted $300 billion in investments. Such investments will not pay off under any circumstances. By 2030, the company will need to show record profits, which it does not have.

Many AI startups will shut down or be acquired. Investors will become stricter: they want a real business case, not just 'we have AI'.
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