Powerful examples of artificial intelligence in use today!

Your first AI project should start with an assessment of your infrastructure – because, as with any technology, you need the right backbone to use AI. IBM PowerAI Enterprise is a good choice if you need new servers, because it’s been created specifically to make developing deep learning (DL) and machine learning (ML) applications accessible for teams who are new to AI.

So, are you ready to see what companies just like yours can create with the right AI systems and tools? Let’s take a look at some inspiring projects built with PowerAI.

1.  When cancer is diagnosed sooner, it gets treated sooner

   Our first use case, originally shared on the IBM Developer blog, is a PowerAI Vision application designed to help oncologists classify cancer tumor types faster. When cancers are diagnosed sooner, treatment can also begin sooner.

   The application used a data set of around 1,600 tumor images to train a neural network to correctly identify 4 types of benign tumor and 4 types of malignant tumor.

   After training, which took only around 30 minutes, the AI application was already able to classify new tumor images with 92% accuracy.

2. Let AI do those boring data extraction tasks!

   Elinar Oy, a Finnish content management software company, used Torch – which is one of many popular open source ML frameworks built into PowerAI – to develop game-changing new features for its products.

   In one AI innovation, the company used sales order data to train an AI model to automatically extract useful information from unstructured data. In another, it used data mining to help its clients achieve GDPR compliance at lower cost and higher quality.

   “We were able to start development right away,” says CTO Ari Juntunen the IBM case study. “It frequently updates itself, ensuring our developers have the best possible tools at their fingertips.”

3. Even big banks don’t want to get stuck on algorithms

When we think about AI, we often imagine highly complex applications that are very difficult to develop. But that’s not really true with PowerAI, and it shouldn’t put you off AI.

Even at one of the world’s biggest financial institutes, Wells Fargo, PowerAI is helping data scientists to focus on real life business challenges instead of technicalities. Security, scalability, resilience and meeting SLAs – these are the real challenges of AI, and PowerAI is built to meet them.

As Richard Liu, Quantitative Analytics manager at Wells Fargo puts it, “Academically, people talk about fancy algorithms. But in real life, how efficiently the models run in distributed environments is critical.”

New to AI? You’re not alone

Don’t worry if your organization hasn’t gotten to grips AI yet, because you’re not the only one. Not having the right infrastructure, not having specialist AI skills, or not having a business reason to try AI, are all common obstacles to adopting AI.

That’s why IBM, as part of its mission to make AI more accessible, has created PowerAI. In combination with Power Systems servers, PowerAI Enterprise offers an enterprise-ready AI platform with efficient AI tools and popular DL frameworks built in. After a fast deployment, you have everything you need to go from creating an initial prototype to running your AI app in production. The result is a powerful, supported AI platform you don’t need technical expertise to use.

So, if you wish you could develop AI solutions without having to hire an AI specialist, that’s exactly what you get with PowerAI!

Passing those final technical hurdles

And GBM can help you take this accessibility much further, by taking technical challenges off your hands! Our team can advise you on use cases that could benefit your business, help you configure and deploy the right system for your needs, and integrate it with the rest of your infrastructure.

So, what kinds of projects could we help you build? Let’s talk today!