Linda Melvern

Linda Melvern is a British investigative journalist and author. Her on-the -ground reporting during crucial moments of the Rwanda Genocide for The Scotsman offered some of the earliest accounts of…

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What does it mean to market a retail AI software?

Artificial Intelligence, although is talk of hour at most verticals/industries, there is significant portion of people who still believe that Human intelligence is completely irreplaceable. While its an underlying fact, I would like to put some thoughts on what it really means to adopt Artificial Intelligence, how the market treats it today etc.,

Courtesy: xkcd.com

Many a times its tough to differentiate. The value addition for a repeated task for example, driving, needs better intelligence as opposed to repeatedly ticking for a job. The later is just a task.

Instead the key part to notice is the “intelligence”. You should be made available to facts which is mission critical that you are unaware of or kept ignoring for some reason.

You should think it as an oven that alarms you about too much butter for the cake (or) moves one step ahead and applies itself and just informs you so you are made aware of the situation. The biggest difference there is to understand the need or to just look up in a prepared content list.

The real question I would ask myself is, what happens if I give away my day job to the AI system? Remember, AI systems in Business space will not just cherish without being handheld during initial baby steps.

Each business is behaviour-driven, value-driven. If these are not harnessed and spirited into the AI system, then its actually just repeats and doesn’t retrospect. The control for such real AI machines comes from the way its been taught to behave from the data (the truth factory of what actually happened).

I do understand that there is an immense gap between the reality of your business and the data, the lesser this gap is, the merrier the AI behaviour.

There is a bigger market space created for businesses today to share their data for quick benefits. For ex: Loyalty programs. Businesses right now are “ok” to submit their customer+order+seasons data with a third party to reap just a benefit on loyalties.

Only after knowing how your data is made workable for you, it has to be exposed for a third party for other “extra” benefits.

The shortest and the complex topic on AI is quantifying the value it yields. You can quantify the benefits not just on a face value of what an AI product does, its the core business value/problem it tries to solve.

The real nature of AI product should:

If you have a better metric as of today on the above, you can easily measure the real value of AI.

The market slowly understands the need for AI products to be present, since people have already caused problems to others and to themselves by complicating the entire machine of businesses.

The technology players are still figuring out better ways to place their AI products, more to cover on the complications here.

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