machine learning

AI today: Data, training and inferencing

AI, Deep learning, IBM Systems Lab Services

In my last blog, I discussed artificial intelligence, machine learning and deep learning and some of the terms used when discussing them. Today, I’ll focus on how data, training and inferencing are key aspects to those solutions. The large amounts of data available to organizations today have made possible many AI capabilities that once seemed ...read more


AI, machine learning and deep learning: What’s the difference?

AI, Deep learning, IBM Systems Lab Services

It’s not unusual today to see people talking about artificial intelligence (AI). It’s in the media, popular culture, advertising and more. When I was a kid in the 1980s, AI was depicted in Hollywood movies, but its real-world use was unimaginable given the state of technology at that time. While we don’t have robots or ...read more


Top IBM Power Systems myths: “IBM AIX is dead and Unix isn’t relevant in today’s market” (part 2)

AI, IBM Systems Lab Services, Power Systems

In part 1 of this series, we started to look at the myth that IBM AIX and Unix are no longer relevant. We talked about the Unix wars that began in the 1980s and how the market has evolved since then. Now, let’s consider the evolution of AIX in the past few decades and the ...read more


IBM PowerAI Vision: A visual recognition AI solution

AI, IBM Systems Lab Services, Machine learning...

Many organizations are interested in employing deep learning and data science but have a skill and resource gap that impedes adoption of these technologies. To address this need, IBM created an easy deep learning solution specifically for business users. Designed to lower the barrier of entry required to create AI applications, IBM PowerAI Vision — ...read more


Deploying AI to the front line

AI, Machine learning, Power servers...

For AI to truly take off in an enterprise, it cannot be siloed within the ivory tower of the IT department, examined only by a team of specialized data scientists. To truly succeed, AI must extend to the front line workers who can augment their own domain knowledge with AI-driven recommendations and insight. Undercover AI ...read more


Watson Machine Learning Accelerates AI on IBM Power Systems

Machine learning, Power servers, Power Systems

New Accelerator drives up to 46x faster[i] machine learning training compared to competitors Enterprise leaders looking to drive business value from artificial intelligence (AI) require an infrastructure composed of AI-optimized hardware and software that breaks performance barriers while also delivering AI insights when, and where, they want them. And while the potential of AI to ...read more


PowerAI Enterprise joins the Watson Family

AI, Deep learning, Machine learning...

At IBM Think this year we are excited to announce the next natural step in the evolution of the PowerAI portfolio as PowerAI Enterprise joins the Watson family. Cognitive applications and workloads like AI, machine learning and deep learning are of key strategic importance to our clients and an area of strategic investment within IBM. ...read more


Explore the IBM infrastructure portfolio at Think 2019

High-performance computing, Linux systems, LinuxONE solutions...

Whether you’re looking to explore cutting-edge technologies, connect with experts or add technical credentials to your resume, plan on experiencing many exciting offerings at Think 2019. This flagship technology conference—February 12 – 15, 2019, in San Francisco—features a Cloud and Infrastructure Campus hosting over 200 sessions, interactive demos and hands-on labs that span the full ...read more


Introducing Spectrum Storage for AI with NVIDIA DGX for deep learning

AI, Cloud object storage, Deep learning...

Artificial intelligence, machine learning and deep learning projects are happening in every industry and research team across the globe. According to IDC[1], by 2019 40 percent of digital transformation initiatives will use AI services; by 2021, 75 percent of commercial enterprise apps will use AI, over 90 percent of consumers will interact with customer support ...read more