Top 10 Artificial Intelligence Technology Trends That Will Dominate In 2019

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Artificial Intelligence (AI) must produce devices that simulate individual intelligence. The purpose behind the production and continuous development of machine intelligence is to enhance our regular lives and the method we communicate with machines. Artificial intelligence is now advancing a difference for us as customers and service providers. Advanced technology will notify the majority of artificial intelligence and vice versa exceeding our most neglected imagination.

 So, what are the top 10 technology trends in artificial intelligence that you should expect in 2019? Keep reading to find out!

1. The Emergence of More Machine Learning Platforms

People are not satisfied with machine learning yet. Furthermore, there is a new forward term on the machine learning market, and that is "programmed learning". Machine learning is a single concept that executes it easier for developers and experts. Also, AutoML is a change from conventional rule-based programming to a self-regulation model in which machines can learn the rules. Also, in machine learning, we present a strong and important set of data to originally help automate the decision-making process. With AutoML, engineers will no extended have to waste time on repetitive tasks. The increase in demand for machine learning experts will take off considerably with the growth of AutoML.
  • Data applications
  • Algorithms
  • Training tools
  • Application programming interface
  • Other machines
2. Chatbot

A chatbot is a schedule in an application or website that gives client support twenty-four hours a day, seven days a week. Chatbots communicate with users via text or audio, mostly using keywords and automatic responses. Chatbots usually simulate human interactions. Over time, chatbots improve the user experience within machine learning platforms by recognizing and adjusting to templates. Different online assistance providers are previously using this artificial intelligence trend for their businesses.

3. Natural Language Generation

Natural language production is an artificial intelligence that transforms data into text. The text is delivered in a natural language such as English and can be given personally or in writing. This change allows the communication of many precise ideas by computer. This form of artificial intelligence is used to create extremely detailed reports. Journalists, for example, have used Natural Language Generation to obtain accurate reports and articles on business results and natural disasters such as earthquakes. Chatbots and smart devices use and leverage natural language generation.

4. Augmented Reality

Create a world where you can sit side by the front with your customers and talk face-to-face about their name expectations with each communication and meet their expectations every time. In the future, in the digital age, this could enhance the reality for brands, where companies can win the hearts of their customers with every interaction. Artificial intelligence and augmented reality are two of these technologies, which will show the highest potential for connecting with consumers in 2019 and will govern the technology landscape. The main reason for this trend is that, compared to virtual reality, which needs a hardware device such as Oculus Rift, it is comparatively simple to implement augmented reality. It only needs a smartphone and an application.

5. Agent-Based Simulations

Agent-based modelling is a important simulation modelling system that has been the case of many applications in recent years, including applications to real-world business problems. Also, in agent-based modelling (ABM), a system is modelled as a set of autonomous decision-making things called agents. Each agent personally assesses his position and executes decisions based on a set of rules. Agents can make various behaviors suitable for the method they represent - for example, create, consume, or sell.

6. Internet of Things (IoT)

Internet of Things is an effect that represents something or devices combined via the Internet that collects and receive information. The merging of the Internet of Things with machine intelligence will enhance data collection and sharing. The particular form of artificial intelligence used to the Internet of Things is a machine learning platform. The classification and prediction of intelligent Internet of Things data will present new insights and insights into related devices.

7. Self-driving cars

These are cars that drive autonomously. This is made feasible by the fusion of sensors and artificial intelligence. The sensors map the direct environment of the vehicle, and the artificial intelligence interprets and reacts to information relayed by the sensors. This form of artificial intelligence should decrease collisions and increase the load on drivers. Companies such as Uber, Tesla, and General Motors are striving to make autonomous cars a commercial reality in 2019.

8. Speech Recognition

Speech recognition represents spoken language words and transforms them into data that the machine understands and can decide. It promotes communication within the man and the machine and is integrated with many smart devices such as speakers, phones and watches. Continuous development of speech recognition and conversion algorithms into machine data will reinforce this trend in 2019.

9. Conversational BI and Analytics

We are observing two major changes in the complete decision-making analytic space and artificial intelligence. First, analytical capabilities develop into the expanded analysis, able to produce more business intelligence and less reliance on domain experts. Second, we are observing the meeting of conversational platforms with these enhanced abilities around the expanded analysis. We expect that these features and selection will increase immediately in all organizations, particularly those that already have some form of BI in place.

10. Natural Language Generation

They need to understand customer behaviour has resulted in improved customer experience across different industries. This factor causes organizations to build customer relationships based on client activities or interactions. Also, big data has encouraged organizations to learn from the data they collect to make better decisions in real-time. Thus, NLG solutions have become very important for the extraction of knowledge in easy to understand human languages. However, the lack of skilled labor to deploy NLG solutions is a major factor hindering the market growth.

Conclusion:

It is not possible to accurately predict how these trends will develop or how they will confuse the technology previously in place. What is certain is that technology as we understand it is growing within the development and growth of artificial intelligence. It is also certain that 2019 will be a year of significant growth for artificial intelligence technology.

Author Bio:
Monika is a digital marketer and technical writer for Mobile App Development Company in Kenya at Fusion Informatics. She wrote on several topics including content marketing and technology. She loves spending his time gathering revelation books, signing stories and watching movies.


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