When Big Data is not so big anymore

sasha uritsky

Oct 11, 2014

We are inundated with information. There is so much information around us they coined a special term - Big Data. To emphasize the sheer size of it.

It is, of course, a problem - to deal with a large amount of data. Various solutions have been created to address it efficiently.

At nmodes we developed a semantic technology that accurately filters relevant conversations. We applied it to social networks, particularly Twitter. Twitter is a poster child of Big Data. They have 500 million conversations every day. A staggering number. And yet, we found that for many topics, when they are narrowed down and accurately filtered, there are not that many relevant conversations after all.

No more than 5 people are looking for CRM solutions on an average day on Twitter. Even less - two per day on average - are asking for new web hosting providers explicitly, although many more are complaining about their existing providers (which might or might not suggest they are ready to switch or looking for a new option).

We often have businesses coming to us asking to find relevant conversations and expecting a large number of results. This is what Big Data is supposed to deliver, they assume. Such expectation is likely a product of our ‘keyword search dependency’. Indeed, when we run a keyword search on Twitter, or search engines, or anywhere we get a long list of results. The fact that most of them (up to 98% in many cases) are irrelevant is often lost in the visual illusion of having this long, seemingly endless, list in front of our eyes.

With the quality solutions that accurately deliver only relevant results we experience, for the first time, a situation when there are no longer big lists of random results. Only several relevant ones.

This is so much more efficient. It saves time, increases productivity, clarifies the picture, and makes Big Data manageable.

Time for businesses to embrace the new approach.

Interested in reading more? Check out our other blogs:

3 ways AI will increase your sales

Many of us get the understanding of artificial intelligence from the film industry. It creates an image of smart, humanized machines that are helpful, efficient and omnipresent. It is true that AI has seen rapid advances in the past several years, to the point that it became an integral part of our everyday life. In real life, however, AI is far away from the level portrayed in sci-fi movies. And yet there are affordable AI tools and solutions that can make a significant impact on your business.

Here are three main reasons why a company, especially if it is a B2C company, should consider integrating AI into their business process.

AI makes your sales process scalable

AI solution dealing with your prospects and customers works 24/7 without sick days, holidays and breaks. It can handle any level of traffic, incoming inquiries and conversations. It does not need to be trained. It does not have personal issues or bad days. It is always polite and uses professional jargon. It is fast.

AI creates better user experience

Some might find it surprising but this is only because they have experienced low quality AI solutions. A professional AI solution makes customer experience better primarily because it delivers the results with a minimum of fuss and maximum efficiency. A good AI eliminates bureaucracy, makes customer experience speedy and seamless, and that’s what consumers are looking for today.

AI offers sustainability

Adding AI to your business model creates long-term sustainability for the business. It allows your business to grow while controlling, or even minimising the costs. More importantly, it ensures that the business remains competitive in providing the level of customer service consumers became accustomed to. Lastly, it creates platform for future technical improvements and integrations which, without a doubt, will be based on Artificial Intelligence components.

Artificial Intelligence as a Service

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.