No artificial intelligence without human intelligence …
According to latest reports released by Cartner, the most important tendencies of artificial intelligence have been reviewed on the most important tendencies of artificial intelligence for the current year. The report has dealt with deep analytical areas that see the challenges facing artificial intelligence technologies and companies, as well as innovations expected to lead the next stage of digital change. One of the most important points stressed is that artificial intelligence is not a uniform technique, but a combination of technologies, models and applications that communicate within specific situations. It refers to the need to deal with artificial intelligence as an integrated system, but not only a tool.
Cartner’s report shows that the companies that have succeeded in achieving the firm value of artificial intelligence have done this by coordinating a variety of groups and using clear administrative models. According to a recent poll, companies that have created groups operating in a co -operative environment between business and technology have been able to benefit from artificial intelligence. The concept of “advanced artificial intelligence” has also been emphasized because the human factor is not allowed, but rather in the process of increasing and improving the results of artificial intelligence. Experience of leading companies shows that the proper coordination between a person and the machine improves hope and reduces errors.
The importance of governance and ethics
The report emphasized that artificial intelligence should be administered through the governance structure that ensures transparency, the efficiency of the explanation, justice and safety. He pointed out that the lack of a clear administrative structure threatens to weaken confidence and expose companies to corporate and legal risks.
Use strategies
Tolti and forecast
One of the most important trends of the current year is the creation AI and the prognosis AI. The first is used to create new content such as images and texts, and the second is used to expect future behaviors and results. Companies that adopted these methods showed more ability to innovate and expect the challenges.
Change towards customized artificial intelligence models
The report emphasized the switching from ready -to -customized models to ensure more accurate and reliable results built using private company data. This trend will contribute to creating unique competitive benefits.
The main challenges
One of the most important challenges reviewed; Difficulty in connecting technical skills, data quality problems and models into manufacturing environments. Cartner suggested a clear data strategy, while creating internal skills in the artificial intelligence industry.
Security and privacy
In artificial intelligence
Reported safety challenges such as sample poisoning and data leakage of obstetrics. Cartner suggested that the use of privacy according to the design “and continued to evaluate the risk.
Realistic use cases from the region
Experience has been reviewed by companies from various countries around the world who have adopted artificial intelligence in the financial sector, health care and government services, resulting in significant performance and a significant reduction in costs.
Final recommendations for companies
Creating an artificial intelligence strategy based on institutional value.
Use the administration responsible for artificial intelligence.
– Improving skills by training and partnership.
Review and update the data infrastructure.
A summary
This year’s artificial intelligence will create a basic pillar in business samples, but this requires a deep understanding, flexible technical-mullah leadership and investment in human capital. Interested companies have a road map to be at the forefront of digital innovations, and stressed that the person who does not strategically accept artificial intelligence will find himself in the back of the technical race.
