AI is one of the technologies that is changing the modern world.
The use of artificial intelligence is still growing according to McKinsey’s Global Survey in 2021. 56% of all surveyed business representatives stated that their companies use AI in at least one function, and this number has been increasing steadily since 2020. Slightly over half of those surveyed acknowledged the positive impact of AI on business efficiency, with the majority also highlighting cost reduction benefits.
People are willing to invest in AI because they believe in its potential. Private investment in artificial intelligence is growing rapidly, reaching an amount of about 93.5 billion US dollars in 2021. Two thirds of the audience of the McKinsey survey revealed that their companies’ investments in AI will grow in the next three years.
This investment will lead to the development of new, improved solutions and tools, and will overall raise the technological level in this area. Businesses should be ready to catch the wave.
AI trends to look in 2022:
1. Natural Language Processing
There’s no room for doubt, Natural Language Processing has become one of the most widely used techniques in the realm of AI tech. It allows computers to understand human speech and reduces the need to interact with a system via text or to engage a chatbot. Natural Language Processing (NLP) is a technology that enables devices to interpret human language and respond in a way that is natural for humans. This technology can be used to create applications and programs that are able to understand and respond to human conversation.
What does this actually mean for the daily life of common folk?
NLP is what has allowed for the development of language-related technology, such as voice assistants and online translators. This type of AI has made it possible to create and improve these types of applications. Even though they may seem unimportant or not worth noticing to some people, the possibilities that they present will only become more numerous in the future, like better voice assistance for people who have disabilities.
NLP could help us learn more about dead languages. Because NLP can interpret written language, it has the potential to be a powerful tool for understanding little-known languages. Some of the main challenges linguists face are that: 1) Some languages do not use spacing to separate words, and 2) They are not always aware of which language is most similar. A group of researchers from MIT claim to have developed a system that can understand the phonetic system of a lost language and determine the closest known language.
2. Conversational AI Systems to Become More Advanced
Chatbot solutions have seen a rise in popularity these past years, they are AI-powered virtual assistance that can carry natural conversations within rule-based operations. These “bots” have a limited but very useful reach. They can answer questions, reset passwords, solve simple problems, and direct clients to where they need to go. Businesses can save a lot of money by using them.
They reduce waiting times for simple queries which would otherwise flood customer support agents. The goal is to have representatives focus on harder and more complex cases, rather than being bogged down with mundane and simple cases. This will allow them to use their capacities more effectively and potentially lower the number of complaints due to long waiting times.
Chatbots offer a more scalable solution than traditional methods. The data that they gather can be used to improve the current conversational marketing strategy. According to Comm100, bots are able to have conversations that last the entire length around 68% of the time. This Forbes article predicts that the number of enterprises using bots powered by artificial intelligence will double between 2025 and 2027.
The challenge for the next few years is to develop this technology so that it can answer more complex questions and do more complex tasks. We need to make chatbots more integrated into the platform so they can have a more personalized conversation with customers. Businesses will want a no-code solution so that their IT departments are not overwhelmed and every department can manage its own project related to this issue.
3. Autonomous vehicles
AI-driven vehicles are a exciting development in logistics and operations. We can see a very small example of what these technologies might mean for businesses in Tesla’s developments. Although the technology isn’t quite advanced enough yet, we can still realistically dream about a future where cars, aircraft, and ships are equipped with an AI brain.
This technology has the potential to improve a lot of different areas, for example by providing more affordable travel plans and reducing the amount of road accidents. AI-driven cars have the potential to save many lives by preventing crashes. AI deep learning still needs to improve a lot, especially when it comes to speed. Although Tesla has said that self-driving cars will be available to purchase in 2022, it is very unlikely that this will actually happen. The recent large-scale recall by the company is not seen as a good sign.
4. AI in Cybersecurity
The importance of cybersecurity is continuously increasing and is now a major concern for a wide range of people and organizations, from individuals who simply use the internet to healthcare providers and large businesses, as well as governments. The sheer volume of cybercrimes is astonishing. In 2021, the monthly reports showed that the transactions for ransomware were around $102.3 million. S Technology is playing an increasingly important role in every aspect of our lives. As cyber attacks become more common, more people are at risk for not knowing how to protect their data.
Cyberterrorists are increasingly targeting regular individuals in addition to big corporations. This is a worrying trend. The technique is simple: They access a person’s regular computer and block their personal files. This may include photos that are sensitive in nature, tax information, insurance information, or work-related documents. In order to get their hands on the stolen files, the hackers ask for payment in cryptocurrency–a digital currency that can’t be traced. The amount of money being asked for is just low enough that people will be able to afford it.
As more devices are interconnected, security risks increase, especially with the incorporation of smart houses that are linked by Amazon’s Alexa. The shape of our daily lives will continue to be impacted by the increasing number of devices and complex networks. So what can be done?
AI and machine learning trends can help find the people responsible for these attacks. Applications for artificial intelligence (AI) and machine learning (ML) are constantly evolving and growing more sophisticated. These technologies can be used to identify digital patterns, predict trends and find anomalies. Algorithms can be developed to seek out suspicious activities and prevent them from happening. Automated security systems that use AI to learn as they neutralize threats are becoming increasingly common. A piece of technology to keep an eye out for in these scenarios is Blockchain. This is because it allows for a secure and decentralized way of handling data.
The main technology behind cryptocurrencies is blockchain, which consists of a chain of modules with independent and constantly changing algorithms. If a blockchain segment is breached, then the data is still safe and it is possible to gather information about the breach. Since it is very secure, it has been selected as a possible way to increase digital security in the future.
5. AI in creativity
Many people are aware that artificial intelligence can be used to create a wide variety of objects. It is also possible to create AI that takes inspiration from existing pieces of art to create something new. Nowadays, AI is helping to generate a lot of creative products, such as music, plays, poetry, plastic art, and even video games.
Some of the trends we can expect for the coming year include more complex designs and models. Look out for Google’s Brain and GPT-4. This development has the potential to drastically improve AI’s ability to create complex and lifelike pieces that exhibit natural creativity.
Headlines in articles and news outputs can be created by AI, which can also add infographics and displays of relevant data. This can simplify tasks in our daily lives. Creativity is an innate human quality that takes a lot of practice and training to perfect. While machines cannot replace human creativity altogether, they can assist with certain aspects of the work and make different spaces available.
Virtual worlds have been around for a while, but the technology has evolved a lot in recent years. We need to find out if the Metaverse of NFTs are really as big of a deal as people say they are, or if they’re just another part of the digital transformation we’re currently experiencing.
6. Evolution of Augmented Intelligence
Augmented intelligence is an AI development trend that is becoming increasingly popular. It is a simple mixture of human decision-making ability and technological efficiency. What does this mean? It can improve rational performances and increase the workforce. This includes not just robotic process automation (RPA), but also other AI solutions.
One of the most prized advancements of AI technologies in the business sector is the ability to predict consumer behavior. The need for specialized talent, highly educated employees, or experienced executives will not go away. It will simplify some of the burdens they carry.
The Future of AI Technology
The potential applications for AI-based automated products are vast and varied. The human error rate is decreased, and employees’ time is freed up for tasks that are more creative and complicated.
AI is following the general economic trend of providing more personalized goods and services. Artificial intelligence, specifically machine learning, is making it possible to personalize experiences for consumers based on data processing and predicting consumer behavior. The potential of artificial intelligence combined with cloud technologies is also very serious.
One way to improve the effectiveness of artificial intelligence is to have it mimic human interaction patterns. Another way to improve human-machine interaction is to change the way humans and machines interact. The primary goal of this project is to improve language and content learning through multimodal methods, large language models, and natural language processing. Algorithms that help machines support people will become more complex and functional, rising to the level of advising and training the user.
machine learning, and especially deep learning, is still the area where we expect the biggest technological leaps in the future. The emergence of MLOps, which cover the practices of deploying and maintaining machine learning models, is not a coincidence.
The main goal for the next few years will be to create models that don’t need as much data or training examples to function, so that we can more quickly apply AI solutions to tougher problems.
Companies are at different stages in their mastery of AI technologies. Leaders are using their own experience with AI to improve their practices and make them more efficient. While some people are fully embracing the potential of this new technology, others are only just beginning to explore what it can do. There are at least two good things about this.
Recent developments in artificial intelligence are evolving towards automating the processes of data collection and processing, testing, and deployment of created programs. This would allow for a faster and more efficient workflow when compared to the current process which is done manually. Many success stories exist of people who have already found solutions to similar problems. The cost of using artificial intelligence is becoming more affordable for many people because of these reasons.
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