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Domestic companies have jumped into technological cleaning attracted by the potential of AI

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Domestic companies are investing heavily in technological cleaning and data consolidation this year. The main reasons are, in addition to the growing severity of data clutter and the obsolescence of key company systems, the tempting possibilities of the latest technologies, led by AI applications and tools.

Thanks in particular to ChatGPT, the wider public has been able to experience in recent months what can be accomplished and created using only natural language.

“These technologies have been around for a while, but today, thanks to the ability for laypeople to use them, it is much more conceivable and at the same time more attractive for companies to exploit the potential of generative AI in business,”

says Michal Peška, co-founder of the technology company Enehano.

Data goes to the sky

Therefore, companies are currently investing in this direction. One chinese overseas europe database  of the main areas is data cleansing and data integration. Data is constantly growing, and at an extremely high rate. Experts even estimate that 90% of the world’s data was generated in the last two years alone.

“Poor data quality is one of the top three issues businesses are currently facing, according to our research. And as the amount of data grows exponentially, the severity of the accumulated clutter is also increasing,”

The truth about customers, products, business cases and other key information. However, the fragmentation of this data is perhaps an even bigger problem in companies today than its purity itself.

 

Peška describes.

Technological debt

Data clutter is also closely related to the level of key systems that  how do you recruit employees large companies use. Banks, insurance companies, mobile operators or energy companies today usually rely on systems .This type of solution is increasingly in demand on the market,”

“It is not surprising, just look at how many different data sources  thailand data are used, especially in large companies.

Peška describes.

Banks, insurance companies and other financial companies are the ones that are most actively engaged in “tech

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