Steve Nuñez is technologist-turned-executive currently working as a management consultant helping senior executives apply artificial intelligence in a practical, cost effective manner. He takes an incremental approach to AI adoption, emphasizing the organizational change required for analytics and A.I. to become part of the company DNA.
Before moving to consulting Steve led the professional services and technical pre-sales organizations in Asia Pacific for MapR, a “big data unicorn” acquired by HP Enterprise. While leading the field organization, Steve served clients including Toyota, Bank of China, Philips, Samsung, and the government of India in their bio ID program.
Steve has been a contributing editor and reviewer for InfoWorld since 1999.
InfoWorld celebrates the year’s best products in software development, cloud computing, data analytics, and machine learning.
From storage and network innovations to eye-popping AI solutions, Alibaba offers a number of advantages over the leading cloud rivals
An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware
Despite huge advances in machine learning models, AI challenges remain much the same today as 60 years ago
Substantial rev of the open source, MPP data warehouse offers high concurrency, embedded analytics, and data science capabilities
Alpine Linux, CoreOS Container Linux, RancherOS, Red Hat Project Atomic, and VMware Photon OS compared.
CoreOS Container Linux provides a safe, consistent, and reliable foundation for container clusters—but it’s not easy
InfoWorld picks the best open source software for large-scale search, SQL, NoSQL, and streaming analytics
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