Intelligence Augmentation – This is just the beginning. Expect to see an endless stream of Artificial Intelligence-based apps aiming to solve every problem we ever had and may have. Mismatch complexity of our lives & our cognitive abilities. Other problems like too many things to keep track of, information overload, learn & remember more led AI to start helping us. Can we say natural intelligence augmentations getting abandon/vanquished in maybe next 50 years?


Why Artificial Intelligence is the future of Economic growth

Artificial intelligence is now considered as a new factor of production and has the conceivable potential to introduce new sources of growth, reinventing the business is screen-shot-2017-11-07-at-22-03-17.pngcurrently in place, changing how work is done and reinforcing the role of people to drive growth in business. On the other hand, i.e. thinking with machines or intelligence augmentation is serious evolutionary epistemology, and semiotic. And it has extreme potentials to take business intelligence to competitive intelligence that can infer competitive measures using augmented site-centric data.

It takes money to make money and right now a lot of that money is going into the development of artificial intelligence. Any intelligence level surpassing human intelligence is called the superintelligence level which is still 50 years plus ahead. Machine learning, as enabling palpable technology, received the largest share of both internal and external investment.  In Short, get AI ready or ready to be swapped by AI very soon. Suddenly, artificial intelligence is everywhere.

Are you AI ready if not then be ready to be read in history books. Are we not missing the fact that artificial intelligence is about the people, not the machines. Intelligence augmentation refers to the effective use of information technology in augmenting human capabilities, and the idea has been around since the 1950s.  On the other hand, artificial intelligence is not well suited to situations where goals and inputs are not well defined; it’s here where intelligence augmentation will continue to play a major role.


Artificial Intelligence, Automation and Work

AI is today increasingly used as a wide term to describe machines that can mimic human functions such as learning and problem solving, but was originally founded on the premise that human intelligence can be precisely described, and machines made to simulate it. Technology and non-technology companies are now investing and bringing out the real and materialistic values of Artificial Intelligence to the real world. It’s almost after a frustrating and hard work of the decade.

So where does the  AI reaches its limits and IA excels? To assist the human operator in evaluating what action should be taken next. Arguments around artificial intelligence vs intelligence augmentation are on the table from the last couple of decades. The term Artificial General Intelligence (AGI) is often used to represent only the latter, stricter definition. There is unprecedented hype today around AI, its incredible recent growth trajectory, myriad potential applications, and its potential emergent threats to society.

AI usage

AI has started delivering values. Using the contemporary view of computing exemplified by recent models and results from non-uniform complexity theory has proven the fact. Are we ready to relinquish control to autonomous cars, software bots, and AI-based recommendation engines?

Investment in artificial intelligence is growing fast. Tech giants like Google, Microsoft, Apple and Baidu knew for their dominance in digital technologies globally are spending a couple of tens of billions united state dollars on AI with 90% of this spent on R&D and deployment, and 10% on AI acquisitions.


The Black Magic and Alchemy of Artificial Intelligence & Machine Learning

Before getting into deeper with this black magic term i.e. Artificial Intelligence lets glance through it from the helicopter view perspective. Anything which needs information processing in the human mind is the human intelligence and if the same task is performed by machine can be (I said can be) term as artificial intelligence like looking picture and telling is this human, sad or happy, decent or nasty.

But million dollar question is “Why do we need technology to overcome cognitive limitations? The answer could many like lousy memory, humans are good at dealing with only one thing at a time, probabilities, logic non-intuitive, slow to process large amounts of information. The animal picture is a dog or cat etc. AI doesn’t need to demystify anything more as its metaheuristic approach has almost overshadowed going to be legacy technologies and computational power of cognitive systems techniques.

Machine Learning and Deep Learning) are not so new, have you heard of accepting selfie as authentication for your shopping bill payment, Siri on your iPhone etc. A Decentralized Autonomous Organization (DAO) is a process that manifests these characteristics. It’s a code that can own stuff. The self-driving car is an excellent example of this. What if you use blockchain to store the state of the machine.

AI Opertunity

In Turning test he proposed a simple test to determine whether or not a computer had achieved true artificial intelligence only by giving the same question to human and a computer If the interrogator couldn’t tell which response came from the computer and which came from the person then system has attained the or have attained artificial intelligence.


Artificial Intelligence (AI) Terminology/Glossary

AI glossary is huge and some time can also be very confusing and used interchangeably. We may not be able to define all of them here but let’s try to name few terms here.

  • Artificial Intelligence (Cognitive computing)
  • Machine learning (Supervised & Unsupervised Learning)
  • Deep Learning
  • An artificial neural network or Neural networks or neural net or deep neural net etc. – All of them are the same thing — a computer system inspired by living brains.
  • Bots or chat bots may / may not come under AI.

Data mining, Data Science, Big Data are few to name. Separating AI as a myth from reality can be tough at this time but in future, it will come handy and gets easy through the hype and hyperbole that surrounds artificial intelligence. It relates to job elimination perception, the great high-speed northbound journey of automation and intense push for people to upgrade their skills to be in the race. We all may be looking at AI all wrong. from some time.


Artificial intelligence is everywhere in the media, its hype is not hidden. Recent comments from few billionaires about AI (some comments are in favour and some are a little conservative) are all over on social media.  Leaders and drivers of this force must look past the hype and understand how to apply it to create real business value now.

Still, too many people think Artificial intelligence is about robots only but a reality we all know is much different. Bots, Robots, AI subsets and Agents (Siri etc) are just getting smarter with this black magic technology.

I am getting tempted to say — this time is really different. AI DAOs – AI that can accumulate wealth, that you can’t turn off. Artificial intelligence is set to transform the financial services industry. How AI will be transforming the future of finTech to elaborate items from the above list in African markets and opportunities are even more dramatic – In just the past five years.


Points to Note:

All credits if any remains on the original contributor only. AI is a bundled technology here which is powering every single business. Artificial intelligence is a broad and active area of research, but it’s no longer the sole province of academics; increasingly, companies are incorporating AI into their products.


Books & Other Material Referred

  • Open Internet & Live conferences feedback and interactions.
  • AILabPage (group of self-taught engineers) members hands-on lab work.


Feedback & Further Question

Do you have any questions about Deep Learning or Machine Learning? Leave a comment or ask your question via email. Will try my best to answer it.


Machine Learning (ML) - Everything You Need To KnowConclusion – At end allow me to say AI is a friendly technology that is here to be accepted without fail and all future products will be based on AI. Artificial intelligence is the craze in silicon valley, but on Wall Street, well, there’s a lot of scepticism. Unfortunately, so far only intelligence got artificial but the risk still remains for real and natural. Natural language generation can create, write and tell your business stories but still raise hands when risk overtakes.


#MachineLearning #DeepLearning #ArtificialIntelligence #ML #DL #Tech #ArtificialNeuralNetworks #ANN #payments

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Posted by V Sharma

Technology specialist in Financial Technology(FinTech), Photography, Artificial Intelligence. Mobile Financial Services (Cross Border Remittances, Mobile Money, Mobile Banking, Mobile Payments), Data Science, IT Service Management, Machine Learning, Neural Networks and Deep Learning techniques. Mobile Data and Billing & Prepaid Charging Services (IN, OCS & CVBS) with over 15 years experience. Led start ups & new business units successfully at local and international levels with Hands-on Engineering & Business Strategy.

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