Becoming of AI


Becoming of AI

Smart chatbots will continue to be a platform for many companies to pursue an AI strategy, but other cases of use of AI will be explored across a wide range of teams and industries. Artificial IT automation should also be an important area of growth, as almost all companies can benefit from IT. Professions ad cognitive system researchers are blossoming and the massive divisions for the iot clients and analytical groups are forming.


Just as smart chatbots can help external customers with common questions, they can do the same for HR departments. The use of AI for quality control and maintenance of systems is another growing area. Ai enhances the ability of reps by providing them with a holistic view of all the information available about a customer or customer in real time.


AI will satisfy the need for talented people who are curious and constantly learning, because the pace of technology is incredibly fast. In collaboration with leading experts, IBM has designed and created an AI Academy for IBMers to develop skills, both in the field of AI creation and application.


On average, in 2018, IBMers spent about 65 hours training not only on AI, but also on other technologies such as block chain, cyber security and intelligence.


Companies cannot employ the AI talent they need at the moment, because supply is less than demand, so every company, especially in the technical industry, must train employees in the AI, or partner with external AI expert companies or individuals. By the end of 2019, Gartner expects AI to create more jobs than it needs.


Ai is truly interwoven in our lives, to the point where most people don't think twice about whether they are looking for Google, shopping at Amazon or watching Netflix, the very accurate and accurate predictions of AI are at work to make the experience flow. In addition, AI assistants are designed to improve the understanding of their human users, as natural language algorithms are used to encrypt speech in computer - readable data, and vice versa, they are increasingly being exposed to information about how we communicate.


Ai indicates a future in which machinery is not only doing all the physical work, as it has done since the industrial revolution, but is planning, strategy and decision - making. Automation of analytical, subtle and troubleshooting tasks can pose a risk to poor, predictable and routine work in sectors such as retail and financial services, and indirectly through the automation of the automotive and other manufacturing sectors. For example, thanks to the use of in - depth learning and predictive analysis tools, AI can significantly reduce the cost and time of developing medicines in the pharmaceutical industry by predicting therapeutic use of new medicines, thus increasing efficiency.




The evolution of Ai is now driven by exponential growth in computing power and the existing ecosystem of solid cloud and intelligent devices.


Entering the Ai is not just about getting some programmers, data scientists and AI experts to start building something. When you build and apply systems using AI, it is very important to create a system that people can trust to make decisions. Specialized AI by industry and profession is faster because AI trains ( or learns ) quickly when the dataset is specific and the questions are limited in terms of guidance.


Experts say that artificial intelligence ( AI ) comes earlier than you think and robotics will soon replace the work that people do.


Ai was also called the "fourth industrial revolution" and, with the rapid evolution of technology in the way people interact with the world, a number of ethical entities have emerged. At the end of last year, Facebook, Amazon, Microsoft and Google have established a group called AI, a nonprofit organization that plans to formulate best practices in AI.


For example, Cambodia's anchoring in the operating system also means that the country is well positioned to participate in the global AI network, which has a thriving operating system community.


Sola explained how OS technologies such as KOOMPI, or software used in Cambodian schools, can be enhanced more easily by AI, as the technology code and AI are both operating systems.


There is nothing to say that AI and robots are approaching general intelligence remotely or replacing human capabilities in bulk. Robotic systems and AI are still fragile and cannot handle exceptions beyond a certain distance. Automated customer support systems have taken on a large part of the workload from people, although they remain much less precise and interactive than human beings.


Interestingly, there are experts also that have been noted how specialized programs ( or people ) performed better than their "AI" counterparts and had no prospects in the real world.


Given that this is probably not surprising, the definition of "AI" is highly controversial.

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