Embedded real-time intelligence powered by IoT-based business networks – sounds like too many jargons, time for one more portmanteau?, well, maybe yes, because that’s how I see the true way to look at artificial intelligence because I don’t like anything that’s artificial!

Today, many of us see artificial intelligence (built on platforms using machine learning, NLP, cloud, and analytics etc.) being the order of the day with analytics engines churning out outputs which lead into automation of many aspects. To me, this sounds sticking to or rather extending the vision that father of AI- John McCarthy tirelessly worked towards (with absolute respect to the great visionary John McCarthy, been).

There is absolutely nothing wrong with machines reason like a human, capable of abstract thought, problem-solving and self-improvement (http://www.independent.co.uk/news/obituaries/john-mccarthy-computer-scientist-known-as-the-father-of-ai-6255307.html ) – as envisioned by John McCarthy.

But in today’s world of cloud-based IoT world and with the availability all the cutting edge technology around it, if the same is plugged into the business network as well, then I feel we will have much more meaningful and more realistic intelligence than just being artificially intelligent.

We currently have science and platform in place through a neural network which is passive as the data and information are either processed or augmented to arrive at an artificial intelligence.

The future of AI that I envision is the one where AI should breath in this neural network by way of embedding intelligence at the design phase and not being applied as an afterthought – looks crazy?, but I think this is achievable.

We are already progressing towards the world where in all possibilities I have a digital identity which for most purposes serves as the single source of truth for all that I do/get involved in. This digital identity will become smart identity as and when it starts flowing into each of my network activity and thus networks start breathing with this smart digital identity as the oxygen which runs through the entire network and will probably lead into providing me a cloud-based smart digital personal assistant/adviser (probably the future of Alexa) which Is completely personalized.

Let’s have a quick look at below example:

Based on my previous day’s schedule, next day’s schedule, BMI, personal sleep pattern alarm is set-up for my next day and as soon as I wake-up, I am read out shlokas that I recite every morning, then through a 3D holographic given a view of my today with inputs on weather, world news in general and news specific to my interest, water temperature being set based on weather and my personal preference and with a view on how much water I should conserve, for me to take shower. Automated gates open for my car with clear guided instruction on traffic and with a parking slot booked at the nearest metro station. While I am approaching metro’s turnstile, my favorite masala tea (sugarless) is booked at my favorite cafeteria within the metro station with amount debited from my digital wallet and so on. What we see here is everything is just not connected, but intelligently and meaningfully connected with my bank too being part of it in an invisible manner.

This also leads to a question that is we were obsessed with personalization and is this scalable model for large corporate/banks? , my take is, we need to design smartly such that such personalization are identified in segments and grouped such that economy of scale than can be applied.

For example, if we apply this at corporate banking level, this may altogether open up a new way to look at the current credit rating concepts being replaced with trust/credibility factor as we will have end to end view of each transaction a corporate gets involved with and thus accordingly allows banks to design financial products which will be contextual, personalized to the corporate, yet profitable to bank.

Designing based on the same principles across a B2C and B2B in this smart intelligent breathing network can lead to probably an example like this:

A matrimony/networking site which does profile matching across multiple parameters like finance, educational background, lifestyle, family, culture, physical and mental health etc., finds a near perfect match and then provides event management service for marriage, travel package for honeymoon, mortgage services based on financial plan worked out and may be a doctor’s service for family planning!

This also means that brands need to be really deep in their offering with a clear brand identity established to stay niche and relevant.

And, what do I do with such real breathing intelligent systems around in future? –Think of writing such blogs and tada- my blog is ready!

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Vishnudatta Harihara Keshavamurthy

Product Manager, Infosys Finacle

A passionate product management professional, an intrapreneur at heart. Key interests: Studying M&A, agriculture and F1 racing.

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6 thoughts on “Artificial Intelligence – that doesn’t sound alright!

  • I don’t pretend to recognize why, yet I personally couldn’t hope to really find what I wanted. Your blog notified me to thinking that I had previous missed. Please do not discontinue creating at this grade.

  • Great Blog. Really enjoyed reading.

  • Fantastic Site. Very much enjoyed reading.

  • Nice introduction to AI

  • Great Idea of using drones, IOT and AI for farming. This will make a connected farm and help improve farm output when resources are scanty.

  • Great Article and very nice way of expressing..

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