Raqamli texnologiyalarning Yangi O‘zbekiston rivojiga ta’siri

 
RAQAMLI TEXNOLOGIYALARNING 
YANGI 
O‘ZBEKISTON
 RIVOJIGA 
TA’SIRI
 
Xalqaro ilmiy-amaliy konferensiyasi
 
- AI-powered IoT: AI is enhancing the capabilities of IoT devices by enabling real-time data 
processing, predictive analytics, anomaly detection, and intelligent automation. This leads to 
improved operational efficiency, optimized resource utilization, and enhanced user experiences. 
- Intelligent Automation: AI technologies, when integrated with robotic process automation 
(RPA), enable intelligent automation of repetitive and rule-based tasks. This streamlines business 
processes, reduces errors, and increases productivity across various industries. 
- Natural Language Processing (NLP) and Voice Recognition: AI-driven NLP and voice 
recognition technologies have revolutionized human-computer interaction. They power virtual 
assistants, chatbots, voice-controlled systems, and language translation services, enhancing user 
experiences and enabling more intuitive interfaces. 
- Predictive Analytics: AI algorithms integrated with emerging technologies enable predictive 
analytics, empowering organizations to make data-driven decisions and forecasts. This has 
applications in various domains, including healthcare, finance, supply chain management, and 
customer behavior analysis. 
The integration of AI with emerging technologies continues to evolve and offer exciting 
possibilities across industries. As these technologies advance, it is crucial to address the challenges 
and ensure responsible and ethical use of AI to maximize their potential for the benefit of society. 
7.2.
 
AI-Integrated Healthcare Systems 
AI-integrated healthcare systems have the potential to revolutionize the healthcare industry, 
bringing numerous benefits and advancements. Here are some key points to consider: 
1. Transforming Healthcare Practice: AI technologies have the capability to transform 
healthcare practice by augmenting human capabilities, improving diagnostic accuracy, enhancing 
treatment planning, optimizing resource allocation, and enabling personalized care. AI can analyze 
large amounts of patient data, identify patterns, and provide valuable insights to support clinical 
decision-making (1). 
2. Improved Efficiency and Productivity: AI can streamline healthcare processes, reduce 
administrative burdens, and enhance efficiency and productivity. Automated systems can handle 
routine tasks, freeing up healthcare professionals to focus on more complex and critical aspects of 
patient care. AI can also assist in automating medical record documentation, data analysis, and 
workflow optimization (2). 

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