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Expert Opinion | Information Technology

TOP AI TRENDS

FOR 2020

by Dr. Jassim Haji

Artificial Intelligence has been

the technology story in Bahrain

and round the world during 2019

and it doesn’t look like the excitement is

going away and it appears that it become

a reality outside of science fiction.

Here are some of the main AI trends

predicted by experts in the field for 2020:

Predictive text should get better and

better

Predictive text has been around for

some time now, but by combining it with

AI we may reach a point where the AI

knows what you want to write before

you do. "Smart" email predictive text is

already being tested on programs like

Gmail, for example.

If used correctly, this could

help users speed up their writing

significantly, and could be especially

useful for those with physical conditions

that make typing difficult. Of course,

many people will find themselves typing

out the full sentence anyway, even if the

AI correctly predicted their intentions.

Human and AI cooperation increases

More and more of us will get used

to the idea of working alongside AIpowered

tools and bots in our day-to-day

working lives. Increasingly, tools will be

built that allow us to make the most of

our human skills – those which AI can't

quite manage yet such as imaginative,

design, strategy, and communication

skills. While augmenting them with

super-fast analytics abilities fed by vast

datasets that are updated in real-time.

For many of us, this will mean

learning new skills, or at least new

ways to use our skills alongside these

new robotic and software-based tools.

The IDC predicts that by 2025, 75%

of organizations will be investing in

employee retraining in order to fill skill

gaps caused by the need to adopt AI.

This trend will become increasingly

apparent throughout 2020, to the point

where if your employer isn’t investing in

AI tools and training, it might be worth

considering how well placed they are to

grow over the coming years.

Quantum computing will supercharge AI

Another trend to watch in 2020 will

be advancements in quantum computing

and AI. Quantum computing promises

to revolutionize many aspects of

computer science and could be used to

supercharge AI in the future.

Quantum computing holds out the

hope of dramatically improving the

speed and efficiency of how we generate,

store, and analyze enormous amounts

of data. This could have enormous

potential for big data, machine learning,

AI, and privacy.

Facial recognition will appear in more

places

Facial recognition appears to be

en vogue at the moment. It is popping

up in many aspects of our lives, and is

being adopted by both private and public

organizations for various purposes,

including surveillance.

Artificial Intelligence is increasingly

being employed to help recognize

individuals and track their locations

and movements. Some programs in

development can even help detect

individual people by analyzing their gait

and heartbeat.

Machines will get better at

understanding-and generating their

own-speech and writing

A high-profile research org called

OpenAI grabbed headlines in early 2019

when it proclaimed its latest news-copy

generating machine learning software,

GPT-2, was too dangerous to publicly

release in full. Researchers worried

the passably realistic-sounding text

generated by GPT-2 would be used for

the mass-generation of fake news.

Synthetically produced data could make

AI cheaper

Ask any data scientist or company

toiling over a nascent AI strategy what

their biggest headache is and the

answer will likely involve data. Machine

learning systems perform only as well

as the data on which they’re trained,

and the scale at which they require it is

massive.

One reprieve from this insatiable

need may come from an unexpected

place: an emergent new machine

learning model currently best known for

its role in deepfakes and AI-generated

art. Patent applications indicate that

brands explored all kinds of uses for this

tech, known as a generative adversarial

network (GAN), in 2019. But one of its

unsung, yet potentially most impactful,

talents is its ability to pad out a dataset

18 January-February 2020

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