AI
Accelerate AI workloads with IBM Storage
AI, IBM Systems Lab Services, Storage
Artificial intelligence is on the rise. Gartner’s 2019 CIO Agenda survey shows that between 2018 and 2019, organizations that have deployed AI grew from 4 percent to 14 percent. This increasing adoption demonstrates the value of the data insights and resulting gains to the business that AI can offer. AI has come a long way ...read more
POWER9: purpose-built systems accelerate AI in the IBM Cloud – open, paid beta
AI, Power servers, Power Systems
Cloud and AI strategies are not one-size-fits-all. From client engagements, we understand the journeys to cloud and AI are complex and unique to each organization. Cloud strategies can include many dimensions of cloud consumption, including public and private, shared, dedicated, on premises and off premises. The average enterprise is leveraging multiple clouds. AI adds another ...read more
Complete your AI puzzle with inference
AI, Power servers, Power Systems
Artificial intelligence is complex, and there are multiple ways to approach an AI initiative. I like to think of AI as a jigsaw puzzle. There are multiple pieces (AI phases) that are dependent on each other in order to realize the picture, and with every piece you get closer to the end goal (business insights). ...read more
Fail fast (and better) in AI development with IBM Watson
AI, IBM Systems Lab Services, Services
Is the fail fast methodology relevant in the context of AI application development? Absolutely. Given that enterprise AI computing is still in its infancy, failing fast with quick turnaround times is critical for the development of AI applications. This entails adopting a flexible end-to-end machine learning pipeline for training workloads at the beginning of the ...read more
New study shows pathway to AI transformation success
AI, Power servers, Power Systems
The promise of artificial intelligence (AI) to reveal valuable insights, reduce time-to-market, re-engineer costs and expand offerings is well understood by executives and technical leaders. What we have not yet defined is how to address the gap between these conceptual ideas and a real, tangible pathway to measurable success. Learning from successful pioneers is vital, ...read more
The hot storage trends for 2020
Hybrid cloud, Multicloud, Storage
Now that 2019 has ended, we anticipate incredible storage advancements to come in 2020. Storage is the essential foundation for all your application, workloads, and data sets. If your storage is not reliable, resilient, performant, and flexible, the value of your most critical business asset–your data–decreases dramatically. Read on to see what is coming your ...read more
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
A future of powerful clouds
Hybrid cloud storage, Multicloud, Storage
In a very good way, the future is filled with clouds. In the realm of information technology, this statement is especially true. Already, the majority of organizations worldwide are taking advantage of more than one cloud provider.[1] IBM calls this a “hybrid multicloud” environment – “hybrid” meaning both on- and off-premises resources are involved, and ...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