Many of us are dazzling about AI in 2019 and its upcoming features in 2020. Some of us might be wondering about “Singularity.” Above all, some are still thinking AI is just a puff and no action. All valid questions to ponder.

1. Creating the Digital Future
10 trends of Artificial
Intelligence (AI) in 2019

2. Creating the Digital Future
Many of us are dazzling about AI in 2019 and its upcoming features in 2020. Some of us might be wondering
about “Singularity.” Above all, some are still thinking AI is just a puff and no action. All valid questions to
ponder.
Artificial Intelligence had many features with benefits. Since 2018 it has been continuously growing for the
coming years. If that's not convincing, look around for yourself and notice all sorts of benefits & used of AI.
The Gmail email response prompter, Alexa in your kitchen, the transcription of your voicemails, automatic
voice calls to your hairdresser for your next appointment, and of course, self-driving cars on the roads of
Utah!
Industries have seen the rise of applied AI. AI is helping enterprises in different ways. E.g.: Walmart is using
AI to increase operational efficiencies like sales tax refunds and audit processes.

3. Creating the Digital Future
MarketinMillionU.S.Dollars
Trend of AI from 2015 - 2025

4. Check Out Top 10 trends of AI in 2019
1 Reinforcement Learning
Reinforcement learning is very different from supervised and unsupervised learning. It is a framework
that does not use data recognition techniques. Instead, this uses experience-driven sequential
decision-making. This method interacts with the environment to learn and move towards a goal that
rewards the actions taken. Gaming algorithms uses reinforcement learning which determining the
moves that the computer should make to win the game.Industries like higher education, healthcare,
finance use AI.
2 Ethics in AI
In the growing times of AI, there was a lot of news of replacing human jobs with AI. This autonomous
process should be designed to meet up social, ethical values. We would need to have policy or
standards; likewise, legal accountability, transparency, policies, embedding values in AI applications,
governance framework.

5. 3 Convergence of AI and other emerging technologies
2019 would see more examples of the convergence of AI with IoT and AI with Blockchain. The robust
feature that autonomous vehicles would have is the ability to communicate with each other so that
traffic as a whole is optimized.
4 Facial recognition
Facial recognition is a form of AI application that helps in identifying a person using their digital image
or patterns of their facial features. With the boom in personalizing everything — from your shopping
experience to advertising, this technology is going to be used more and more for biometric
identification. This application will continue to rise due to the non-invasive identification and the ease
of deployment.

6. 5 Quantum Computing
Quantum computers will be seeing improvements, although less. Quantum computers use quantum
physics to compute calculations faster than any supercomputer today. Unlike a regular computer,
quantum computers use qubits (quantum bits) to store information.
6 Biased Data
This has been increasingly important due to its increasing demand. The machine learning models are
used for decision-making such as hiring, mortgage loans, prisoners released from parole, or the type of
social service benefits.

7. 7 Neural networks
There is enormous demand for neutral networks. The current neural network technologies will be
improved upon in 2019. Neural networks are fundamental to “deep learning,” robust set of algorithms
that can be used for image processing, speech recognition, or to process natural languages.
8 Socio-economic models
With the growing age of AI, the most crucial query is whether AI will replace all jobs. It all depends
where AI will replace the jobs; it will also open new job posts with different skill sets.

8. 9 Deep learning
Machine learning, the most popular form of AI, has become challenging when the number of
dimensions of data increases. Deep learning is the latest technology behind self-driven cars, voice
control, image recognition. There has been an increasing interest in deep learning algorithms.
10 Privacy and Policy
Data privacy is the most significant part. Where there are new updates and AI applications, the policies
also need up-gradation. Most of us in unaware of the digital data usage. Standards that are critical to
ensure safety, transparency, and awareness of the complex AI technologies would also be developed.

9. Creating the Digital Future
AI is not going down anytime in the future. As
the world becomes more and more digital, AI
advances. With our entering in the new year,
AI focuses more on new technologies &
applications in the industry.

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Creating the Digital Future
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