What is one of the big differences between computers and humans?
Would you say that humans would learn from their experiences whereas computers would execute instructions that were explicitly programmed?
This is no longer the case with artificial or cognitive intelligence.
You need to see it like a Russian doll. The biggest doll is artificial intelligence. You open it, and it contains machine learning. You open this second doll and it contains a third which is deep learning.
To continue our comparison with humans:
We are not always aware of it, but they are already part of our everyday lives. They are present in search engines, in our cameras for the detection of faces, in the chatbots of many web sites to obtain information about products, in medical imaging to facilitate the interpretation of x-rays or MRIs, and in real-time translation.
They are also present in assistants such as Google, Amazon (Alexa) or Microsoft (Cortana).
Companies are looking to leverage artificial intelligence to extract ideas from data to provide customers with a better experience and maximize revenue.
Fraud detection, chatbots, recommendation engines, are just a few examples of deep learning projects that companies are deploying.
Artificial intelligence is becoming widespread and, like so many other trends in the digital world, it is also fed by data, a lot of data, but also by adequate computing performance.
What software is required? What computing and storage infrastructure do we need? Should you hire more data scientists to carry out the project?
So many questions that you must answer, after first having identified the problem to solve and the relevance of the data you have or can have.
Data experts provide new and valuable information from a wide variety of relational, semi-structured, and unstructured data sources.
They do this by taking advantage of an accelerated modern computing infrastructure, on which they execute powerful machine learning and deep learning algorithms.
However, they have difficulties in optimizing their productivity and reducing the time spent on low-value tasks, given the nature, variety and disparity of the open source software used.
At the same time, there are not enough data experts to meet the demand, which is why their pay is steadily growing.
PowerAI is an integrated platform of enterprise software that combines popular open source deep learning structures, efficient development tools, and accelerated IBM® Power Systems servers to meet the demands of your deep learning projects.
PowerAI runs on IBM Power8 or Power9 servers. By optimizing connectivity between IBM processors, NVIDIA GPUs, memory, and I / O, the deployment of artificial intelligence applications is dramatically accelerated.
The PowerAI range includes:
IBM PowerAI offers the following benefits to data experts and more broadly to companies:
Present is an IBM Gold and NVIDIA partner, and our consulting services can help you in your artificial intelligence projects. Contact us at firstname.lastname@example.org or 1-866-426-2748 to take the discussion further.
The right use of technology addresses business challenges and drives business growth in all areas of an enterprise. We hope this blog will offer insight into developing strategies and tactics to enable you to identify those key drivers of growth and keep pace with and anticipate the rapid technology change of today.