Artificial Intelligence as a Service

sasha uritsky

Mar 11, 2017

There is a growing demand in the industry for Artificial Intelligence products, from simple chatbots to conversational ecommerce solutions to advanced intelligent systems.

And there is a growing number of AI companies offering such products.

One of the problems however is that AI products currently available on the market require technical sophistication on behalf of the user, such as familiarity with APIs, communication protocols, XML, etc.

nmodes aims to solve this problem. Our position is that the users do not need to be technically savvy to enjoy AI capabilities. We offer our AI solutions as a service, fully hosted, fully supported.

We do not ask for any technical knowledge from our customers. We only want them to tell us the details relevant to the business process they are looking to implement or support and we will take care of the rest.

In particular

1. We train AI to understand and support their own use cases.

2. We host the entire solution, without claiming the ownership of the data we process or use to train our AI.

3. We support all user interfaces ( UI ) required by our customers.

4. We connect to third-party APIs and integrate our AI with third-party components.

Artificial Intelligence as a Service ( AIasS ) that we offer makes new AI technology easier to use increasing its exposure to businesses and organizations worldwide.

Interested in reading more? Check out our other blogs:

The Automation Is Coming

A close look at the history of humanity leaves us with no choice but to admit that the majority of jobs as we know them now will be transferred to automated systems. This is part of the technological and scientific progress our civilization is undertaking and it is irreversible.

Artificial intelligence became mainstream in 2016. For the first time artificial intelligence is not only available to big companies like Google, Amazon or Apple, but to the majority of businesses worldwide. Startups have started building products and services using artificial intelligence en masse.

The essence of artificial intelligence is massive, intuitive computing power: machines so smart that they can learn and become even smarter. The machines are becoming quicker and more nimble. They cover wider range of conversation topics. They now connect to robotic systems and online interactive systems. There is literally very little they cannot, or will not be able to, do as applied to industrial workforce.

With all the good that’s going to come with automation, we are suddenly faced with a new problem: the elimination of many low and middle class jobs. Many jobs that have already been severely impacted by computers (manufacturing, administrative support, retail, and transportation) will continue to diminish. In the nearest future routine-based jobs (telemarketing, sewing) and work that can be solved by smart algorithms (tax preparation, data entry keyers and insurance underwriters) are most likely to be eliminated.

What to do? It is fruitless to fight automation, we need to find ways to work with automation rather than against it.

The solution is to become more creative as species. Creativity is the natural advantage of humans over machines. Automation is about to change the course of the world, it’s going to be a great disruptor and impact the workforce like nothing we’ve seen before. We can sit around and gradually become obsolete, or accept the challenge and use the tool of creativity, which we are in unique possession of, to maintain our superiority.

Pros and cons of automation

Automation drives forward the economy. It allows businesses to scale and service large groups of customers. Automation first appeared in traditional industries, such as cotton production in England in 18th century or car conveyors in the US in early 20th century. The automation replaced physical labor.

With the invention of computers automated systems began to replace intellectual labour such as math calculations. Most of the software applications we use today can be described as automation. Online payments processing, online tickets purchasing, tax returns software, computer games, search engines, and endless other programs are all examples of software automation system.

As a next step we are now aiming at automating human decision making processing and high-level intellectual activities, historically considered to be sole domain of humans.

One interesting aspect of automation is lesser quality of service compared to manual service.

This is to be expected. If we gain in quantity we lose in quality.The gain in quantity is what automation is about - it allows to reach out to a large number of customers. Manual product or service can reach out to individuals only. The price we pay for the ability to deliver product or provide service en masse is the drop in quality.

Sometimes automation is an obvious choice. This is when the gain, the scalability, hugely outweighs the costs, lower quality. Search engine is a popular successful example. In other cases, the advantage in not so obvious. Online travel booking offers fast service without leaving the comforts of the home, but it does not often deliver the best option, such as finding the cheapest flight, and therefore many people still use ‘manual’ travel agents.