Artificial intelligence is a topic not for science fiction or conversations about will be in a few years, but for today and now. Now, when AI has knowledge in the field of technology with business applications and machine learning is built into various products and services, artificial intelligence is a great topic for predictions for next year.
Artificial intelligence is already capable of many things ranging from autonomous vehicles and automated production systems to delivering search results on the Internet using human-like voice assistants.
We’ve seen companies make progress in using artificial intelligence (AI) in all of their companies. However, what awaits us in the near future?
Only some industries have enough talented employees. In most cases, however, employees are bored with their work or worse, uninterested.
Machine learning seeks to improve their conditions.
Communication analysis tools – supported by AI – can help solve moral problems and even suggest ways to improve the situation.
As companies want to reap the benefits of AI solutions, the adoption of this technology will increase significantly. However, not everyone will have direct access to the necessary technology and computing power. At this point, AI enters as a service or AIaaS. Watson, Azure AI and Google Cloud AI are just a few examples of the use of this technology in service-like settings. Servers carry most of the computing power, enabling customers to use a remote solution. Quantum computing will further increase the power of the remote service model.
Because the third party does everything, companies get access to a low-cost AI solution with almost no risk and no buy-in.
Chatbots are good at answering simple questions when people interact with them. However, the future is digital assistants, because artificial intelligence helps these bots to prepare themselves better to understand the intentions and context of requests. Artificial intelligence will also help digital assistants proactively answer questions and concerns instead of responding, and will go a step further to make predictions and make recommendations for next steps.
In the field of marketing, media companies are always looking for new ways to increase their advantage. It’s not just about paying attention to marketing materials and content. It’s about sharing a message that resonates with their interests and lifestyle.
With the help of artificial intelligence, marketers can diversify their campaigns on social media and email campaigns to attract the attention of recipients.
Are Ads developed by AI from scratch to be targeted to specific audiences or demographic groups is something that sounds unreal today?
Big Data solutions and analysis provide the necessary information to create such campaigns, and AI solutions drive them forward.
AI can also support sales forecasting, customer information, digital advertising and even customer service. One of the most important AI applications today is a customer service solution, answering queries and helping to solve problems with customer experience. This will evolve over the coming year to cover many other aspects of marketing.
Whether you’re talking about customer-oriented or employee-oriented personalization, manual processes make things too complicated for them to work. However, by introducing AI solutions and automation, the whole system is improved.
Using machine learning to deliver targeted multimedia and content suggestions to users is something that already exists in today’s world. An application for vocabulary learning based on artificial intelligence has already been developed. Initially, he observes the child’s level of reading and vocabulary, and then provides content and experience tailored to their needs. AI adapts to the child’s development so as to choose a good level of difficulty.
Ultimately, personalization allows companies to give customers exactly what they want, whenever they want, without ever turning to them. AI solutions monitor their use, habits and other performance data to distinguish what experiences, products, recommendations and even marketing content fit their lifestyle.
The worrying potential of so-called deepfakes to create realistic-looking manipulations of video material began to evolve from press rumors to reality in 2019. While experts worried most about the human tendency to spread political misinformation and propaganda, extensive research has shown that they are now much more prevalent in synthetic pornography targeted at women in the entertainment industry. Meanwhile, the breakthrough in natural language processing (NLP) also opens the door to the possibility of mass production of fake messages or spam.
As face replacement technology progresses, to the point where only one or two images need to be trained now, this trend can become very disturbing in 2020.
Recent research has shown that people prefer artificial intelligence to help them with tasks instead of taking over their duties. Respondents ordered three main reasons for using AI in this order: automation of repetitive tasks, improvement of service quality and lastly mentioned cost reduction. These studies have shown what things are most important to users and in what parts of our lives we expect improvement from artificial intelligence, so future trends should be guided by such results.
The good news is that with the transition to 2020, more and more companies are trying to implement artificial intelligence as part of their business strategies.