Business ideas.

We’ve all read the news about data collected through our phone camera data and its relevance. It still gets the most attention, but cloud data is just as central to what you can learn about.

The challenges we get and offer to help solve problems in information and computer science are disparate. What’s interesting about doing this is how that gets a lot easier for businesses.

Getting Data to Meaningful Use

This may seem like an odd question, but after I think about the problem of getting data to meaningful use it becomes pretty clear. First, if you don’t have enough data to solve a particular problem, you can’t help much with the problem.
 

Second, this question becomes a lot easier as you expand the problem definition. So what are data problems we have from making things do this?

For example.

You might be able to recognize a couch or cow in your pictures taken from your phone camera and feed off that information. But, what’s the problem the images are identifying? What do you have to do?

When I think about it this way, the use of artificial intelligence for this model. What are you trying to solve?

All that finds things in pictures on the internet and lists and prices them. From this, you could predict what the price of furniture would be Sounds. To recognize this to better create adverts for furniture. 

AIl to sell meats to eat at restaurants in retail shops. But what is the problem again?

AI calculates the food prices in different areas of the world and sends prices recommendations based on where the foodstuff is most sold. This data could be collected, processed and used for creating personalized ads for people that buy the right food in times of need.

Predict the demand for food in different regions of the world so restaurants create more appealing menus to address this change.

Predicts the financial service supply so banks aren’t overwhelmed by more clients than they have been able to process.

Predicts the same for airlines. 

And to predict the difficulty people report as experiencing a financial problem and sends people who can help solve it so they don’t have to call in individual incident report calls. 

Now just imagine we can predict as a business model we could do those things. Simple, right?

Can You Automate: Getting to Think?

Being able to figure out what to do if you have enough data is a bit of a scientific problem that requires engineering skills. It’s not always possible to automate those processes where possible. We’re a long way from being capable of thinking, but there are lots of everyday applications where we can automate a data model.

Let’s look at a few more real-world applications.

Identify Obstacles

The only way to track the housing price on property portals is to understand who’s looking. This kind of requires expertise in using algorithms and generating (data) with the right structure.

But what happens if we use that’s largely mobile and Internet connection? What if a machine is everywhere? This indicates the need for real-time or near real-time data to be able to identify obstacles so they can be resolved. This could allow businesses to enter a particular geographical location and accurately find a house(S) and its area of the property.

Example: Amazon.com

Estimate the Cost of Rental and Property Prices. You live in London. You don’t know how much the rent is. It’s a bit harder to predict the cost of your property when you’re currently in the process of finding it. Yes, housing is expensive enough but imagine you’re going through the same process every day. You just can’t know how much to ask the landlord and find the right house(S) which is most of the time right at the same time.

Example: Annable Group

An example is Annable Group. A startup that does exactly this — using AI software to supply the right house(S) and a report to back it up.

Now imagine if this technology is as widespread as the desktop, these kinds of businesses would become huge. Who wants to type in “rent are from 250k to 1.9m x 125k each month?”, right?

If we look at cloud power cloud infrastructure (a “product”) that’s more broadly being used today, it’s clear that businesses are buying more compute capacity to train more power.

Notice how much AWS(Amazon’s cloud network) pays to Google, Microsoft, and IBM for computing capability. That’s proof enough that if we can apply this full power of artificial intelligence to something.

Amazon  

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