AI for All

Data is generated by every business, every day, regardless of its size, location or resources. And we’re just starting to wake up to the impact that this data, when used to enable AI applications, can have on a global basis.

According to Andrew Ng, AI is the new electricity...with the power to change nearly every major industry and enrich the lives of countless people. This means it’s also changing how organizations consider their data: what type they generate, where they generate it and how they can leverage it to grow their business.

As organizations begin to understand the value of their data, they are also getting a glimpse into the potential that AI—the ultimate amplifier of their data—offers them. The challenge, though, is how to use this data to train neural networks and extract insight from AI systems. Today, only a handful of companies have the financial resources, dedicated computing power and on-site expertise to do this. But AI is too valuable to limit to just a few, large corporations.

We need a way to make AI accessible to all of these organizations—anywhere and anytime. Only by doing this will we realize the full potential of AI.

AI for All Industries

AI brings something to every industry. Consider manufacturing jobs, which often produce vast quantities of data, e.g. from product yields and equipment effectiveness to machine maintenance. Today, this data is largely underutilized. But, imagine if a company could easily train a neural network to mine this previously under-valued data. The resulting inferred intelligence could be used to optimize manufacturing processes, help the local workforce, drive higher profits and create new jobs.

AI for All Places, at All Times

AI has the potential to revolutionize the way we live our lives. Yet, because AI applications require huge amounts of data and computing power to train the neural networks, they still have one big weakness—their “brains” are located on cloud servers, which are typically located thousands of miles away from where the data is collected. They are unable to do any computations at the edge, on the devices where these applications actually run.

AI needs to occur where the data is, not where the data is not. It should be everywhere the data is located: in your car, in your phone, in your deskside computer and yes, also in the cloud. And it’s something that should be accessible to every organization that understands the value of its data, not just massive global corporations. Wherever the data is, the opportunity to leverage that data through AI should exist: at all places and at all times.

AI for All People

One of the challenges to leveraging AI is the expertise required to train the neural networks for data mining. Today, this activity can only be done by highly trained—and highly paid—data scientists. So, even if a company understands the innate value of its data, only a select handful can justify the cost of hiring one or more data scientists and then waiting the months or even years it takes to analyze the data.

What if any organization could set-up a training model for a neural network? It’s not impossible. Only 15-20 years ago, we had to pay graphic designers $100s per slide to create a single company presentation. But, with the introduction of tools like PowerPoint and public domain clipart, anyone today can create a professional-looking slide deck. However, for a company to be able to mine their own data, they’ll need a solution that is easy to use, that is affordable (in terms of people capital and operating capital) and that runs faster. Even companies that are data rich can struggle with monetizing the benefits of AI if it takes too long to analyze the data. With the right deep learning solution, AI can be accessible to all.