7. AI will take database analysis to a new level
Posted: Wed Feb 12, 2025 8:42 am
Data is big data, but it’s growing, which is one of the reasons why CIOs have failed to embrace the role of data analysts. Clearly, as the volume of information grows, it becomes more difficult to find valuable components. “No company in the world has ever managed to hire enough people to keep up with the growth of data. The volume of data is doubling every year, but the budgets and the size of the IT teams are not growing,” Horton said.
Big data analysis and management is another area of AI application where there are high hopes. “In 2019, we will see more companies investing in AI engines to enable their IT teams to process more data in a range of tasks,” he said.
JASK Chief Machine Learning Officer Dean Teffer believes that machine learning has already reached the stage of commercial maturity and that companies will soon begin to use it en masse to work with their databases.
“Enterprise AI 2019 is machine learning that finally moves kazakhstan whatsapp data standard use cases like image labeling or text translation to work on massive amounts of data that has been stored and accumulated for years,” he said, explaining that this is not about a single application of the technology (a one-off analysis or search) but about “solving large-scale data organization and modeling problems that allow business users to collectively connect to AI at any point in time and get reliable data analysis.” He added that improved data visibility will lead to a cascade effect and strengthen the role of enterprise data management in an organization, since it is the data, not the algorithms, that is the repository of valuable information.
8. AI will become “invisible”
In recent decades, many technologies have emerged that in one form or another were aimed at providing the user with tangible conveniences. The mass introduction of mobile devices and applications has gifted humanity with pocket assistants with access to the Internet and an inexhaustible range of communications. Behind these technologies lies a change in the consumer paradigm, for example, now it is not necessary to go to the store for shopping - you can order goods online. However, few people think about what is hidden inside their communicators, although in fact it is a whole world of technologies - hundreds of microcircuits that connect to modernized high-speed networks to transmit an order for the delivery of a unit of goods through applications developed by thousands of developers.
Big data analysis and management is another area of AI application where there are high hopes. “In 2019, we will see more companies investing in AI engines to enable their IT teams to process more data in a range of tasks,” he said.
JASK Chief Machine Learning Officer Dean Teffer believes that machine learning has already reached the stage of commercial maturity and that companies will soon begin to use it en masse to work with their databases.
“Enterprise AI 2019 is machine learning that finally moves kazakhstan whatsapp data standard use cases like image labeling or text translation to work on massive amounts of data that has been stored and accumulated for years,” he said, explaining that this is not about a single application of the technology (a one-off analysis or search) but about “solving large-scale data organization and modeling problems that allow business users to collectively connect to AI at any point in time and get reliable data analysis.” He added that improved data visibility will lead to a cascade effect and strengthen the role of enterprise data management in an organization, since it is the data, not the algorithms, that is the repository of valuable information.
8. AI will become “invisible”
In recent decades, many technologies have emerged that in one form or another were aimed at providing the user with tangible conveniences. The mass introduction of mobile devices and applications has gifted humanity with pocket assistants with access to the Internet and an inexhaustible range of communications. Behind these technologies lies a change in the consumer paradigm, for example, now it is not necessary to go to the store for shopping - you can order goods online. However, few people think about what is hidden inside their communicators, although in fact it is a whole world of technologies - hundreds of microcircuits that connect to modernized high-speed networks to transmit an order for the delivery of a unit of goods through applications developed by thousands of developers.