Artificial Intelligence and Machine Learning…

The traction over the last few years in the artificial intelligence (AI) and machine learning (ML) space is remarkable, and I’m not just talking about consumer-based products like self-driving cars, or virtual assistants like Google Assistant, Alexa, or Siri. While those products get the headlines, AI/ML is rapidly spreading across the enterprise IT space. I feel like I can’t go a day without a company mentioning AI or ML as part of their product or forward-looking strategy. It’s not just for crazy, sci-fi predictive analytics projects in a bunker somewhere. While that definitely still happens, AI and ML (and deep learning too) are being used across all aspects of IT: big data, cloud, IoT, security, infrastructure, systems management, etc.While AI/ML is a top priority for businesses that expect it to have a significant (positive) business impact as they continue to digitally transform, investments remain modest because of its sheer impact on all aspects of the infrastructure. Challenges associated with infrastructure cost, lack of in-house expertise, and insufficient data quality are just the start. To read the complete article, CLICK...

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