Do you ever see humanoid robots and wonder what the future would be like? According to many predictions, AI will slowly replace humans and the pace at which this will happen is slowly increasing.

The war to get ahead among companies is piquing. Google, Microsoft, Facebook, Qualcomm, and nearly every tech is upping its efforts in artificial intelligence development. Microsoft alone has 18,300 AI-related patents, according to WIPO (World Intellectual Property Rights Organization). Other companies of the same reputation have a nearly similar numbers of patents. In brief, adoption of artificial intelligence is on the top of the list of priorities for organizations.

Artificial Intelligence (AI) has made an impact on nearly every industry. It is also responsible for the advancement of emerging technologies such as big data, robotics, and the Internet of Things (IoT).   
Moving into 2021, artificial Intelligence will continue to act as a main technological innovator for the foreseeable future. Consequently, leading to demand AI engineers.

As businesses are increasingly realizing the benefits of artificial intelligence, a wave of transformation is underway. Consequently, the next decade will see an unprecedented development and adoption of existing and emerging technologies. This advancement will push digital acceleration forward. This will also help industries manage uncertainty which is a top priority among companies. In 2021, artificial intelligence will advance toward becoming omnipresent in every sphere of our lives.

What’s more – here are a few AI trends that we can expect to follow in 2021.

Spike in Demand for Ethical AI  

The ethical use of AI is a top priority for companies. According to Forrester’s research, business leaders will look for artificial intelligence to address issues of uncertainty with the ethical use of AI.

In the past, organizations that adopted machine learning and artificial intelligence didn’t care much about ethics. Now however things have changed. Companies will work with organizations that commit to data ethics and have data handling practices that reflect their own values and their customer’s.

The following are a few ethical issues that AI will solve.                        

– Who is responsible if an AI makes a mistake? 

– Should AI systems be allowed to kill? 

– The Singularity and how to keep control over AIs

– How should humans treat AIs? 

-AI bias 


Chatbots

Adoption of chatbots will increase. The use of chatbots increases responsiveness and reduces delays. Customers can self-serve themselves instead of relying on a company representative to intervene, increasing customer satisfaction. Forrester’s research predicts chatbots/ AI-powered conversational AI will evolve into better customer service automation.  

AI engineers equipped with the skills in natural language processing (NLP) and machine learning can build chatbots that understand human language and provide near human-level communication. In brief, chatbots mimic human conversation.

Progress toward trusted data for AI 

In 2021, a third of companies in adaptive and growth mode will approach AI to assist in workplace disruption for location-based, physical, or human-touch workers and knowledge workers working from home.


Intelligent document extraction, customer service agent augmentation, return-to-work health tracking, and semi-autonomous robots for social separation are few areas where organizations plan to use AI.

Amid these applications, organizations need to find a way to implement AI safely, boldly, and ethically. This will in turn help organizations emerge stronger in the short – and long–term. 

Demand for Certified AI engineers will increase

So far businesses were experimenting with the skills and technologies that will fit an AI engineer. This will, however, change now. Organizations have zeroed in on the skills and knowledge that are essential to successfully implement AI. AI professionals and aspirants will approach global AI certifications to increase their appeal to organizations.

ARTiBA (Artificial Intelligence Board of America), IBM, Harvard University, and Stanford University offer the world’s most valuable AI certifications.

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