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10 Reasons to Attend Technology Conferences

Social, Agile and Transformation

Last year I attended and spoke at over twenty (20) conferences that covered a wide range of topics from Artificial Intelligence to Agile & DevOps to Data Science. I spoke on a wide range of digital transformation topics and had the opportunity to meet many interesting IT leaders and event sponsors.

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Introducing! 5 Minutes with @NYIke

Social, Agile and Transformation

Each episode will be approximately five minutes and I'll be sharing best practices and insights on the areas that I cover including digital transformation, agile planning and practices, product management, devops, data science, big data, data governance, artificial intelligence,

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5 Principles Full Stack Developers and Solutions Architects Must Understand About Machine Learning

Social, Agile and Transformation

According to recent and separate studies from Gartner, Harvey Nash/KPMG, and O'Reilly, somewhere between 24% and 37% of organizations are at least moderately investing in machine learning and artificial intelligence. require(["mojo/.

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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. In contrast, the new lifecycle is distinctly digital , agile , and recursive. Artificial Intelligence

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Cloud Migration Fundamentals

Linux Academy

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. The impending release of 5G cellular networks will further increase the use of wireless platforms.

Cloud 60
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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Data 79