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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth. We believe that the convergence of both HPC and artificial intelligence (AI) is key for enterprises to remain competitive.

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Unlocking value: Top digital transformation trends

IBM Big Data Hub

For instance, organizations that are struggling to build their own IT services can assess whether some internal legacy tech should be replaced with technologies from software-as-a-service (SaaS) providers. Trend: Cybersecurity By virtue of moving many services online, organizations are at greater risk of digital attacks.

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

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Enterprise Architecture: Secrets to Success

erwin

Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? Emerging Markets : What opportunities align to our business (e.g., managing risk vs ROI and emerging countries)? As a result it loses its business dimension and support.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. Imagine a self-driving car piloted by an AGI. How can organizations prepare for AGI?

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. However, that definition is too narrow in terms of AI’s relation to data governance.

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? Artificial Intelligence Solution Decomposition Process. Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).