From the presidential election debate last night, it doesn't seem like the world is ready for AI. Only one candidate addressed the consequences of technology and AI, while the other candidates were still talking about the past. Can we even accept the present and future of AI?
As scientific horizons widen, so do technological outlooks. But are we ready to be beaten by our creation which is Artificial Intelligence? Will we ever be able to accept something faster, stronger and smarter than us? Is the world ready to be beaten by the non-living?
What is Artificial Intelligence?
A machine learns on its own. For instance, if you are shown a caution sign once, you can identify practically any caution sign anywhere in the world. Similarly, artificial intelligence works the same way. Once you enter the basic data into their system, they keep improving their software by a feedback system until a point reaches where they start making unprecedented strategically decisions.
How Artificial Intelligence will make the world a different place?
For better or for worse, we can’t say for sure how the full impact of artificial intelligence would be on human life. In 2016, Artificial Intelligence named AlphaGo won against the human Go game grandmaster. AlphaZero is the new chess master after beating the world champion by using its human-generated parts and improving its mathematical errors in just a couple of hours, it was indisputable. It took 1500 years for humans to achieve this high cognition level that artificial intelligence achieved so rapidly.  This indeed marks an important milestone in the tech world but did the human Go grandmaster celebrate Alpha Go’s victory? Quiet unlikely.
The world is still not sure about welcoming Artificial Intelligence to take over their victories, jobs, and homes. Most people see artificial as a threat to human existence. The reason being that simply robots work on manmade software, they teach themselves from the mistakes it makes corrects them by algorithmic theorems which may be and may not be ethically and morally correct.
If we start learning from our man-made artificial intelligence, we might be able to get smarter at calculations, estimations, might come up with even better environmental solutions but this won’t be concept based thinking. Artificial intelligence is unable to ponder, find the deeper meaning of life, it cannot reason outside the box.  Feelings and emotions are something the human race craves. The artificial intelligence is devoid of reaching any level of consciousness shortly.
Another threat the world feels is the weapon harnessing artificial intelligence which will most probably cause the end of the human race. The problem is that robots don’t always interpret emotions right neither can it solve abstract problems. While artificial intelligence may save us from road traffic incidents by automatic safe driving cars, robotic surgeons save lives with better operation precisions, are we still ready for such perfection?
Final words
Not everyone in the world is good at heart and the world is really afraid of “evil scientists” of whom the world thinks might use for their malicious purposes. Also, once artificial intelligence starts making decisions for us that are greater than what we can figure out, they might start treating us an inferior race. But who knows when we will get there? 

With our gradual move into the digital era, it is no surprise that almost all networking vendor has various visions for network automation.
The autonomous network is the type of network that functions without the intervention of humans, or, if at all there is any human intervention, it is very minimal.
Furthermore, the network is capable of monitoring, configuring, and maintaining itself all on its own.
All these are not new to the digital world as the term automation itself and the concept of technologies self-providing, self-diagnosing, and ultimately, self-healing has been in existence for a very long time.
Nonetheless, the advancements of artificial intelligence, as well as cloud technologies, has swiftly brought all of these ideas into reality.
Technology like these is mostly used by service providers and even enterprises to enhance efficiency and decrease errors made by humans as well as operating expenses.
They are used more in networks that are heavily burdened with outdated and really old equipment, spreadsheets, and old protocols.
Artificial Intelligence Merging With Autonomous Network
Currently, the majority of us make use of apps that have been enabled by artificial intelligence. Some of which ranges from Apple’s prominent Siri down to Amazon’s Alexa.
We make use of them by asking them to help us with one task or the other. There is also the streaming service such as Netflix that aids us in picking movies as well as television shows that make use of AI.
In this world of the submarine and terrestrial networks, artificial intelligence and all of the elements that build up the cloud are steadily mixing up to allow a new level of networking.
All of these elements range from the following:

• Digitally boundless compute resources

Here, modern-day CPUs will be clustered in a bid to provide huge and almost infinite parallel processing power

• Dynamic connections

This is a highly agile and on-demand bandwidth that has been provision Ed with the specific connection that is needed. This relies on the data that is in transit. It is a very critical component of an autonomous network.

• Big data

For the autonomous network, all of the gathering and data analysis from sensors of the network will lead to better detection of anomalies and patterns.
More On Autonomous Network
On a general note, the autonomous network can be of optimum use when it is used to speed up specific processes that are repetitive like:

• Configuration of new wave services or the new Ethernet services
• Providing customer portals that can give the end-user permission to control demands of bandwidth
• Building up ways to update elements of the network without any intervention from humans.

The fact remains that, autonomous network decreases the prospects of having human errors, and it speeds up responses to the service requests as well as provides self-help tools to the customers.
To Sum It Up
Automation needs to be seen holistically and not just as a conglomeration of diverse processes.
With artificial intelligence embedded in it, the automation network will have wider coverage than it already has.

All around the world, the majority of us are familiar with the technological concepts of self-driving cars, smartphone devices with facial recognition, and even smart homes.
At first, we were intrigued and fascinated by science fiction imaginations, dreams, and movies, and now we have the:

• Robots
• Artificial Intelligence
• Neural networks
• Intelligent machines and so many others.

We are currently living in a digital era where every science fiction is gradually turning into a reality. Artificial Intelligence is a part of our daily lives now.
What Is Artificial Intelligence?
In simple terms, it is an advanced field of computer science that majorly comprises of intelligent machines that work and behave just like humans work and behave too.
Almost everyone knows about the voice assistant systems like Siri, Google, Cortana, and even Alexa. They are created around artificial intelligence applications.
The algorithms used for artificial intelligence track our browsing behaviors in a bid to give us the type of products we like.
Is Artificial Intelligence The Future?
Before talking about the future, artificial intelligence is already transforming the present-day settings of our world. It can as well be the future because it is making changes in diverse fields currently, which includes:

• The Automobile Industry

Currently, artificial intelligence has given us Google cars, Uber, Tesla, which are all self-driving vehicles. This can be taken as man's first step to a transport facility that is automated.
As technology continues to expand, we are sure to expect transportation such as driverless buses, smart vehicles, trains, and metros soon.

• The Healthcare Industry

Artificial Intelligence applications are gradually making their way into the medical industry.
Artificial Intelligence machines are capable of handling diagnosis, serious and delicate operations, understanding the ways of bacteria’s and discovering swift remedies or antinodes, etc.

• The Environment

Another major field was artificial intelligence is branching into is our climate and atmosphere change.
Through the help of climate analysis, Patten analysis, and predictions, artificial intelligence can help humans in getting much more accurate climate change pattern analysis and even access the weather and climate predictions.
In anyplace where agriculture is relevant, farmers can now make use of artificial intelligence so that they will benefit the accurate climate forecasts and analysis.
To Wrap It Up
Artificial Intelligence is truly making a great change in our present-day, and we know it will only get better in the future. However, people believe that artificial intelligence will take over our jobs.
While it is not news anymore that artificial intelligence is automating so many tasks, it is, however, leading us to the creation of so many other job roles as well as tasks. No matter what, we are the ones to give the commands and control the machines.
Artificial intelligence will be able to change our skill sets or work patterns. As with other technological advances, some parts of the work segment will be affected, but over the long run, we will adjust to the new standard as a group. 
Make sure to learn and work on skill sets that make you indispensable!

The fashion world, as we have known it for centuries, has always been an aggressive field. This is because designers have no choice than to be two levels ahead of every fashion curve and set the right tone for all of their iconic designs
However, with so many innovations taking place, the fashion industry can be turned into a much more manageable, vigorous, powerful, and transparent community instead of the energy-draining treadmill filled with confusion and misalignment.
As a result of all this, fashion technology is swiftly turning into a developing and highly energetic community that is established by incubators and accelerators such as Silicone valley's fashion tech accelerator and the New York fashion tech lab.
Also, there are popular brands that have started incorporating artificial intelligence into everything from their personalized running shoes down to chatbots that help the shoppers. Some of these brands include:

• Adidas
• Nike
• Levi’s, and;
• Burberry, etc.

Straight out of 3D avatars to closet consultants, artificial intelligence is molding how we get dressed.
Steps AI Is Taking To Change Fashion
Some of the ways that artificial intelligence is changing our wardrobe and fashion include:
Visual Search
This has to do with the color, look, and the cut of the material of apparel that we are intrigued in. No fashion decision does not make use of a visual guide.
Though the visuals of the clothing are very vital, it is also very difficult to disclose to a machine the type of piece of clothing look you have in your mind. However, it is all changing thanks to Artificial Intelligence.
How artificial intelligence is helping out is by floating in line with helping buyers to envision their thoughts. Even if it involves giving an image or placing the shade of an item, AI will carry out a reverse image search.
An example is a case where your friend wore a patterned dress that you like. You can easily click on the photo of your friend and swiftly upload it on the fashion site. For an AI algorithm, it will give the same or an item that looks like it. Aliexpress already has something that is exactly like this. It also will give manufacturers ideas of what people want. 
Personal Stylist
Acting as a personal stylist to technological savvy fashion enthusiasts, Hook has made it as the principal artificial intelligence fashion feed for customers in the fashion industry. 
The app is capable of learning what the customer prefers in real-time by making moves to investigate the item pictures the person has loved or placed on her wishlist. This is done so that other customers can discover the items they cherish as well.
Furthermore, the app supports buyers to shop like modern designers by increasing its amazing search capacity in a bid to locate a specific product they need.
To Wrap It Up
Even big data tools are being used to allow retailers to keep up with the competitive pricing plan as well as linking machine learning and artificial intelligence. With this, retailers can enhance and reduce their costs.

For most people, artificial intelligence is just a machine that is capable of performing cognitive functions like:

• Learning
• Reasoning
• Perceiving, and;
• Resolving Issues

The whole artificial intelligence issue comes to life when a machine has this cognitive ability. However, artificial intelligence is used in almost if not all industries.
It has the prospect of creating over six hundred billion dollars worth of value in retail alone, and it is capable of bringing about fifty percent worth of incremental value in banking.
For transport and logistics, it has a prospective revenue jump that revolves around eighty-nine percent or even more.
What Exactly Is AI?
Simply put, artificial intelligence offers us a technology that deals with difficult data that are barely possible to tackle by a human.
However, artificial intelligence automates redundant jobs, and it enables workers to reduce tasks of added value. With the implementation of artificial intelligence at scale, it will lead to a reduction in cost and increase in revenue.
Types Of Artificial Intelligence
AI has been split into three subfields which include:

• Machine Learning

It is the study of algorithms, and it is based on the concept that there lies some type of pattern in data that can be identified and used for the prediction of the future.
A major difference from hard-coding rules is that the machine can learn all on its own in a bid to find rules like that.

• Deep Learning

Also known to be a subfield of Middle learning. Here, it does not mean that the machine can learn more in-depth knowledge; here, it simply means that machines use diverse layers to learn from data effectively.
However, the learning phase of deep learning is carried out via a neutral network. This us an architecture where the driver's layers are arranged on top of one another

• AI Versus Machine Learning

The majority of our smartphone devices, everyday devices, and even the internet make use of artificial intelligence. Frequently, both machine learning and AI are intertwined by these big companies that enjoy announcing their newest technologies.
All in all, AI is just the science of training machines to carry out tasks that would have otherwise been performed by humans.
Use Cases Of AI
Artificial Intelligence is utilized to decrease or avoid repetitive tasks. It can repeat a task continually without any form of fatigue. The fact is that Artificial Intelligence does not get tired, and this means it does not need rest.
It can enhance a product that is in existence. Most forms introduced artificial intelligence into their business just to improve the functionality of their product and not beginning from scratch to create newer products.
Also, AI is used in diverse industries, which involves marketing down to the supply chain, food processing sector, and finance.
To Sum It Up
Artificial Intelligence is gradually being incorporated into almost every facet of our digital lives. It has so many use cases as its concept is no longer relatively new to humans.