Artificial Intelligence or Genuine Stupidity: Dilating Dilemma!

Want to become the MacGyver of Artificial Intelligence?

Guess, you are in the wrong place.

Else, keep reading.

Artificial Intelligence?

How can intelligence be artificial?

Dichotomy maybe?

Let’s start with something fun.

Check out this awesome AI text generator that can help write articles, poems and more.

What’s the hype about artificial intelligence?

Let’s dive in…

History of Artificial Intelligence

Recall the Tinman from the Wizard of Oz?

Or the humanoid robot in Metropolis?

Yup, those were the days when artificial intelligence
or AI was just getting started.

Come the 1950s, artificial intelligence was becoming more popular.

Where?

Of course, within the circles of high IQ scientists and philosophers.

A young British polymath Alan Turing
was one of the pioneers of artificial intelligence.

He was hailed as the father of modern computer science.

In his 1936 paper,
he hypothesized that one-day machines could compute any problem using the binary numbers 0 and 1.

The prodigy even invented the first
digital computer with stored programs in 1945.

He played a pivotal role in winning World War II as well.

Did you know what’s the cost of renting a computer in the early 1950s?

$200,000!
A year?

Nope.
A month.
Yes, $200,000 a month.

The Logic Theorist was the event that made people believe that artificial intelligence was achievable.

Early Growth

From the late 50s to the early 70s,
machine learning algorithms and computers evolved.

The biggest issue until now was that lack of computational power-
both storage and processing.

In the 80s,
deep learning techniques started becoming popular…

Thanks to the efforts of
John Hopfield and David Rumelhart.

Japan invested $400 million into Edward Feigenbaum’s expert program.

The program aimed at improving computer processing and artificial intelligence.

How about real-life applications of artificial intelligence?

IBM’s chess-playing computer program Deep Blue
defeated the reigning world chess champion and grandmaster Gary Kasparov in 1997.

Dragon Systems developed a speech recognition software in the same year.

Towards the end of the 1990s,
Dr. Cynthia Breazeal’s work in computing gave us
Kismet.

It was a robot head that could recognize and simulate emotions.

What is Artificial Intelligence?

The simplest way to describe AI is to focus on what it aims at achieving.

It involves machines learning from experience
in order to perform human-like tasks.

The present-day artificial intelligence
draws power from deep learning and natural language processing.

AI includes a large number of methods and technologies.

From neural networks, machine learning, deep learning, cognitive computing, and natural language processing…

to IoT (Internet of Things) and advanced algorithms…

AI is a massive undertaking.

Why is AI important?

There is much confusion about artificial intelligence as a technology solely to automate manual tasks.

AI enhances the intelligence of
existing tasks with the help of human assistance.

Yes, AI is not a standalone application.

As you know,
Siri, bots, and conversational platforms do not function in a silo.

The adaptation approach of AI
is based on progressive learning algorithms.

Little less Chinese, please?

Here you go…

Let’s say
we have a computer driven by artificial intelligence,
playing against a chess champion.

The program would analyze
huge volumes of data to find patterns to create an algorithm.

The algorithm can teach itself how to play chess.

How does AI achieve high levels of unmatched accuracy?

Deep neural networks.

Observe how your interactions with voice assistants such as Google Search or Alexa are getting more accurate.

Artificial Intelligence in the 21st Century: the Ubiquity

Albert Einstein once said that
the genius makes complex things simple.

There are hundreds of tools and platforms out there.

Hence, the tech world seems to become more complex.

Artificial Intelligence would and should
try to render simplicity from this complexity.

AI touches us in our day-to-day life.

From Google’s machine-learning-based search engine…

….to Facebook and Amazon using predictive algorithms to make the best recommendations based on user’s browsing behavior and purchase history…

We are advancing with AI at a fast pace.

Tesla, Audi, and Volvo have
already shown improvements in the self-driving space.

Not to forget,
IBM’s
Chef Watson uses natural language processing to bring creativity and innovation at cooking.

AI attracts huge computing demands- powerful systems with huge computational scale, but tiny configuration.

New research led by the University of Plymouth suggests that AI can help scientists unravel mysteries of the deep oceans.

AI Technologies & Applications

Natural Language Processing (NLP) & Speech Recognition

NLP involves converting data into text,
thus amplifying the accuracy of computing systems to communicate ideas.

This has a huge application in the area of customer service.

I am sure Siri would ring a bell?

That’s speech recognition.

AI helps systems transcribe human language.

Mobile apps make use of this amazing aspect of artificial intelligence.

Chatbots or Virtual Agents

Think of a virtual agent as a computer program or a chatbot capable of interacting with a human being.

Nordstrom is using chatbots on Facebook Messenger
and Kik to enhance customer service.

You can get an Uber ride through
Facebook Messenger directly with the Uber chatbot.

Cool, right?

Machine Learning Platforms

Machine learning aims at making computers smarter.

It is a subset of artificial intelligence.

Ever used Yelp?

I am sure you do.

The business directory service
uses machine learning to create images at scale.

I am talking about handling millions of images, by the way.

Pinterest, with the help of Kosei (a machine learning company),
offers improved content discovery.

Natural Language Processing (NLP)

This deals with programming computers to help them analyze and process massive chunks of natural language data.

NLP has immense use in today’s world-

From spell-check to autocomplete, voice text messaging to spam filters.

How about an example from the enterprise world?

Businesses can use NLP systems to monitor the engagement and activity of their clients across their social media platforms.

AI and Marketing

How can I write a blog and not talk about marketing?

Artificial intelligence and digital marketing together will change the way we do business online.

In one of our posts, we discussed how omnichannel marketing involves complicated, overlapping customer journeys.

The modern-day customer has high expectations.

AI-powered systems can help businesses enhance and optimize the customer journey.

These solutions will be able to follow the customer through hundreds of touch points across their journey.

And connect all those points of interaction to improve engagement.

Predictive recommendations from these systems will help businesses make the right decisions at the right time.

This helps in enhancing conversations and improving conversions.

AI-driven systems will help businesses answer the what, why, where, when and how of customer experiences.

Content Creation & Marketing Automation

Content Marketing is one of the most important aspects of digital marketing and growth hacking.

I am sure you’d agree.

Blog posts, videos, ad copy, and other assets are key to engaging with the prospects.

Organizations such as CBS and USA today are already using AI to create content.

Marketing Automation is the answer to simplifying and streamlining business tasks and improving engagement.

In short, it allows businesses to improve their efficiency, thus generating better revenues.

Looking to optimize your Google and Facebook ads?

Say hello to Adext.

This tool uses AI to optimize your target audience.

Moreover, it automatically updates your budget to help you save money.

Other applications of AI include decision management, biometrics,  cyber defense…

And compliance, peer-to-peer networks, emotion recognition, and image recognition.

The list is rather long.

Artificial Intelligence: Roadblocks?

There is no doubt that AI will have a tremendous impact on every industry.

But, like most other things, AI has its limitations.

Artificial Intelligence is all about learning from data.

And that is what becomes its biggest limitation.

Bad Data = Inaccurate Results

AI systems in our generation have been designed to undertake specific tasks.

For instance, an AI system designed to, let’s say, play chess, can’t play solitaire.

How is AI changing the job market?

Will AI replace human beings?

A research revealed that ai could replace more than 40% of jobs in Canada in the next two decades.

AI-based systems don’t have to be perfect at completing human tasks.

The aim is to have them do the tasks with more efficiency than human beings.

An example could be in the area of driving- higher efficiency means fewer accidents.

Healthcare is an excellent example of an AI application being done right.

Better technology in the medical field can save precious lives.

But this will not replace human beings in the near future.

I am sure a machine cannot provide the care and “human” touch to an elderly!

There has been much confusion and fear that artificial intelligence will take away the jobs of human beings and put robots and machines to work.

Right?

The present-day automation relies on routine and structure.

And most importantly, the tasks are predictable.

At present, less than 5% of the occupations are fully automated.

However, almost every industry has the potential for, at least, partial automation.

Manufacturing, accommodation and food service, and retail trade are the domains most susceptible to automation.

This is because of their highly structured and predictable environments.

For example, recently,
Amazon rolled out machines that can pack orders.

Price?
$1 million each!

Unfortunately,
this move could lead to 1,300 cuts across 55 U.S. fulfillment centers.

Automation is not an overnight affair.

It will take years of work to fully automate all industries,
to say the least.

According to McKinsey,
50% of today’s activities could be automated by 2055.

Do you know why we homo sapiens will still have an edge?

Comparative Advantage!

Have you been using artificial intelligence in your business?

What has been your experience so far?

Share your comments below.

About OmniDigit

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