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AI Trends: What Can We Expect From Artificial Intelligence In 2020

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AI Trends: What can we expect from Artificial Intelligence in 2020

AI Trends: What can we expect from Artificial Intelligence in 2020

Artificial Intelligence became one of the most dominant topics in 2019 but, together with machine learning and data analytics, these technologies are continuously delivering practical applications and dramatic changes in many industries and are impacting our our daily life. We’re living in the age of automation, and thus, with the increasing spread of AI in almost all industries, the challenges are growing in addition to the areas of application. Therefore, it’s time to make our policies right in order to maximize the advantages without wasting any time.

 

Here below we’ve tries to demonstrate the application of AI shaping different industries in 2020:

 

  • Al in healthcare is not new but the field of health AI is superficially wide, from covering wellness to diagnostics to operational technologies, AI applications are also being integrated for administrative and clinical health care processes. In 2020 more and more AI-powered bots will be assisting with surgery, including heart, colorectal, and thoracic. AI will also be fulfilling its promise of helping the healthcare industry to manage their costly back-office problems and inefficiencies by providing patients and medical professionals automated digital medical records so they can get rid of stacks of folders with decades of health records. With the integration of electronic health record (EHR) technicians are using AI to help document, sort, and store records in digital form.

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  • According to a new report by Reports and Data, the global Artificial Intelligence (AI) in the Construction market is forecast to reach USD 4.51 Billion by 2026. The aim of AI in construction industry is to make the construction process faster, safer and more cost effective by reducing human error and better utilizing big data as even complex plumbing, mechanical and electrical tasks can be designed in 3D and can be worked through while planning, saving time and costs in the building stages.

 

  • Retail industry is not hidden by AI and it’ll keep revolutionizing the retail industry, from helping customers find the items through visual search to personalizing their entertainment experience through chatbots, maximizing sales via cross-selling, proving a better customer service. Also, in 2020, AI will keep helping retailers to understand their customers better via their buying patterns, interests and more, in order to allow them to target specific groups of customers, personalize their experience, and provide them only with the information that is relevant to them.

 

  • We are living in an era in which AI application are having major impact on every industry on the they do Human resources executives are implementing AI to improve HR functions, such as self-service transactions, recruiting and talent acquisition, payroll, reporting, access policies and procedures and they believe that merging AI into HR administration functions will benefit and improve the overall employee experience.

 

  • Human workforce may have limitation but machines can work on a continuous basis to ensure faster production of goods. IoT and AI have already been used in the manufacturing industry since long to assemble the products and revolutionizing mass production of goods and boosting the output of different industries. AI-driven robots can work 24-hours a day and help to drive mass production. Artificial intelligence can reduce the manufacturing operating expenditure and improve the productivity. The global artificial intelligence in manufacturing market size was $513.6 million in 2017, and is projected to reach $15,273.7 million in 2025, growing at a CAGR of 55.2%.

 

  • AI is bringing increasing transformations in the financial services and is changing the way services are delivered to customers by allowing more informed and tailored products and services, internal process efficiencies, higher cybersecurity and minimizing

 

Sources:

 

 

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