As the year passes, more technology uses AI and machine learning algorithms and programs in factories, the healthcare industry, banking, and security that are now expanding even for eCommerce, social media, and cellular application platforms.
However, because AI technology develops and solutions developed, more variables also appear about how we do something and if the current resources will be enough to meet the needs of changing people. Thus, along with unresolved problems, the challenge seems unrelenting, and we are not close enough to perfect our system.
The following are the main challenges of AI Tech in 2021.
1. AI talent hunting
AI continues to grow at a stable level because more people accept the idea of AI and have proven its value in the world of modern digitalization.
This developing Artificial Intelligence request also means increasing demand for developer AI Tech. It is supported by reports that declare 74% annual growth from 2016-2019 regarding requests for AI talent. However, AI professionals who are eligible to achieve the level of implementation of the required AI and the skills to make a fully functional system still lack.
2. Supports IT systems
Information technology serves fast-growing world needs. This part makes life easier by developing a system that helps us save, take and process information. It ensures that the technology and devices we use are safe, works well, and efficiently.
Many IT systems can still increase. AI supports IT systems can improve them in many ways. For example, creating a layered security system help identify security and violations, helps programmers write better code, ensures quality, and optimize the server.
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3. Processing unstructured data
Unstructured data has excellent value for the business, but many organizations cannot produce valuable insights because experts cannot analyze them with conventional systems. They cannot be stored in the relational database management system (RDBMS). As such, it is a challenge to process and analyze it. Unstructured data types include audio and video files, images, text, web content, etc.
Suppose through AI and engine learning, unstructured data can be broken down, processed, and stored as analytical data that is easier to understand.
4. Increase Cybersecurity.
Whether it's on private networks, cloud servers, or social platforms, hackers, when given the opportunity, will always exploit all the vulnerabilities in the system.
Whatever the motivation possessed by hackers to do so, get access and control of personal and business information will always be a loss because they can use this information at any time for their benefit.
5. AI tool for marketing
The IT crowd is not the only one who can benefit from AI. Marketing always continues to find new ways to attract the attention of prospective customers and users.
They need to develop a better way to handle their customers and use tools that can help them execute marketing campaigns easier.
Chatbots, photo editor, AI background eraser, social listening, AI expenditure management, and virtual reality marketing tools are just a few good tools, and some use artificial intelligence. Using AI in more fields in marketing to help collect and analyze data, make automatic decisions, and target ideal audiences will drastically increase marketing efforts and save human and financial resources.
Wrap everything
It is clear that AI has many uses, and the list is still growing. AI will provide many solutions and services for software and other elements. Paired with analytical data, it will help many companies and individuals that offer a lot of support.
So it's not surprising that 2021 will accommodate more surprises and new trends to follow in AI. However, significant changes always come with a choice dichotomy. Is Ai a good thing, or is it wrong? Should we integrate it into everyday life? Which is a lower crime, the world with or without AI? It is just as important as these questions, and it is wise to remind ourselves that this decision is not black and white. Changes cannot be avoided, whether you like it or not. Let's not give up on the fear of possible. Instead, we must focus on studying the future of this great benefit for our society.
