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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