Gartner expects more jobs in the field of artificial intelligence

Gartner forecasts that starting from 2020, the number of jobs created by artificial intelligence will be sufficient to offset those it displaces. By 2025, this net job growth is expected to reach 2 million. The year 2020 may mark a turning point for AI-driven employment, as it could spark positive momentum in overall job creation. While the impact of AI on employment varies across industries, sectors such as healthcare, public services, and education are anticipated to see continued growth. Historically, major technological shifts have led to temporary job losses, but they eventually led to recovery and new opportunities. AI is likely to follow a similar path. Unfortunately, some critics overlook the immense potential of AI when combined with human intelligence, creating greater productivity and innovation. To fully leverage AI, IT leaders should focus on empowering employees rather than replacing them. This means enhancing human work, redefining traditional tasks, and fostering a corporate culture that embraces change. Now is an ideal time to plan for the long-term integration of AI. By 2022, one in five workers handling non-routine tasks will rely on AI to perform their duties. Simple applications like automated reports or email filtering can significantly improve efficiency. As knowledge workers integrate AI into their workflows—acting as virtual assistants or interns—AI-powered roles will become essential to business competitiveness, leading to the emergence of new job categories. In 2021, AI-driven improvements are projected to generate $2.9 trillion in commercial value while saving 6.2 billion hours of labor. These cost savings and productivity gains must be reinvested to drive organizational transformation and explore new business models. AI excels at handling repetitive and monotonous tasks, freeing up humans for more creative and strategic activities. However, the relationship between humans and AI is complex and requires more than just automation. Companies must rethink entire decision-making processes, leveraging the strengths of both humans and machines to maximize value and improve agility. This shift will not only create new jobs but also redefine the future of work. Gartner continues to predict that AI will generate enough job opportunities to surpass the number of jobs it replaces, with 2 million new positions expected by 2025.

Battery Energy Storage System

Battery Energy Storage System (BESS) is a complex system that integrates multiple technologies and devices to store electrical energy in the form of chemical energy and release it for use when needed. The following is a detailed description of the purpose of the BESS class:

I. Basic definition
BESS is a system that uses lithium batteries, lead batteries, etc., as energy storage carriers to store electricity for a certain period of time and supply electricity when needed. The power provided by the system has functions such as smooth transition, peak cutting and valley filling, frequency regulating and voltage regulating, etc. It is of great significance to improve the stability, reliability and flexibility of the power grid.

Second, system composition
BESS mainly consists of the following parts:

Battery Array:
It is the core part of BESS and is used to store electrical energy. Common energy storage batteries include lithium-ion batteries, lead-acid batteries and so on.
The performance of the battery directly affects the efficiency and reliability of the entire energy storage system.
Battery Management System (BMS) :
Responsible for intelligent management and maintenance of each battery unit, prevent the battery from overcharging and overdischarging, and extend the service life of the battery.
Monitor the battery status, including voltage, current, temperature and other parameters, to ensure the safe operation of the battery pack.
Energy Storage converters (PCS) :
It is one of the key devices in BESS, responsible for converting direct current in the battery pack to alternating current, or alternating current to direct current, to meet the needs of different application scenarios.
PCS has the ability to control the flow of electric energy bidirectional, and can flexibly adjust the power and voltage of the grid.
Local controller:
Responsible for local control and management of BESS, including data collection, condition monitoring, fault diagnosis and other functions.
The local controller can also communicate with the external energy management system (EMS) to receive instructions and perform energy scheduling and power control.
Power distribution system:
Devices such as switches, circuit breakers, cables, etc. are included to connect BESS to the power grid or other loads.
Distribution systems need to ensure the safe transmission and distribution of electrical energy.
Auxiliary equipment:
Including temperature control system, fire protection system, lighting system, monitoring system and so on.
These devices are used to ensure the safe operation and routine maintenance of BESS.
3. Technical characteristics
High efficiency:
BESS has high energy conversion efficiency and charge and discharge efficiency, which can maximize the use of stored electrical energy.
Flexibility:
BESS can be flexibly configured and expanded according to actual requirements to adapt to different scales and scenarios.
Reliability:
With advanced BMS and PCS technology, BESS is able to ensure the safe operation and efficient utilization of battery packs and improve the reliability of the system.
Environmental protection:
BESS uses renewable energy for energy storage and power supply, reducing dependence on traditional energy sources and environmental pollution.

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