5 Artificial Intelligence trends to watch in 2021

AI technologies helps businesses with data management and process optimization, helps medics to predict and cure diseases like cancer and COVID-19, and assists humans in many other fields where fast computation and data management is crucial. What are the AI trends for 2021?

Artificial Intelligence is deeply connected with the name of Alan Turing, as known as the Father of Artificial Intelligence. In the mid-20th, the earliest scientific work in the field of artificial intelligence was done by this English mathematician and computer scientist. His idea was that one day, computers would be able to mimic human intelligence and behaviour to perform the tasks and replace human workers. One of the goals of AI is mimicking human cognitive abilities, such as perception, reasoning and learning. 

The bigger goals that exist nowadays include the idea that developers will create systems that exceed the abilities of the human brain to get more complex tasks done. In that way, human workers will assist the machine. The criticism about the possibility to create an artificial intelligence system with such capabilities based on the fact that value judgments are subject to only human experience. Let’s move forward from the basic conception and history to 2021 year. 

Cyber security AI and Machine Learning

We live in a tech-driven world where technologies are always appearing and evolving faster than regulations, laws and ways to prevent insecure penetration in different systems where sensitive data (such as IDs, addresses and passwords) is stored. AI-driven cybersecurity will assist humans and existing tools by preventing unauthorized access, identifying patterns and learning to find any fraud activities.

Ethical AI

Ethical Artificial intelligence issues are one of the major problems of using systems powered by AI. The world of Artificial Intelligence impacts on how we see the world and our role in today’s realities, we need systems that will be ethical, lawful and robust. These 3 criteria are described in the latest EU policy document. Here you can read the most common questions about ethics AI developers need to answer nowadays. 

AI and voice recognition

AI-powered voice recognition is a system that gives more convenience to its users. It can be implemented on companies’ landing pages to have a voice chat with customers, in smart home devices, smartphone operating systems and in smart speakers (like ones that go with Alexa assistant). These technologies give gadgets and systems the ability to convert voice messages to text and commands and also to identify the user.

AI and cloud services

AI cloud computing is already a part of such voice assistants like Alexa or Siri. It helps to find and play a song, turn on and turn off the lights and with many other scenarios. By implementing AI in your cloud services you will improve the costs and productivity, harness Big Data and improve customer engagement metrics.

AI and marketing technologies

AI made a disruption in martech by more precise marketing campaigns result prediction, improvements in customer support and engagement, targeted content creation, managing social networks accounts, providing dynamic pricing for businesses, streamlining content department processes with digital asset management, making retargeting campaigns, and giving visibility to top customers and net promoters (which corresponds with increased loyalty).

Summary

AI-powered systems will help executive board members and top managers reduce the systematic risk in the long-term plan. It also will drive more efficiency, reliability, elasticity, and scalability in the business decisions and operations. The AI software market continues to grow and develop in 2021 and the main focus would not only be on new AI-driven solutions but also how AI technologies impact society, keeping in mind that AI developers still have ethical issues to work on.

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