"Driven by a customer-first mindset." That's how Nirmal Ranganathan, VP and Distinguished Architect at Rackspace Technology, describes the trailblazing hybrid multicloud and AI/ML solutions provider. Rackspace delivers customized services and support for application, data, security, and AI solutions across private, hybrid, and hyperscaler public cloud platforms, spanning platform engineering, security, data engineering, analytics, application modernization, and Al.
Rackspace designs and builds scalable technology solutions and provides ongoing management and optimization so their customers can focus on building new revenue streams, increasing efficiency, and creating incredible customer experiences.
On the first anniversary of Foundry for AI by Rackspace (FAIRTM) - human-centered solutions that seamlessly integrate AI into enterprises as a trusted employee and co-worker - we spoke with the 14-year Rackspace veteran to better understand Responsible Al, a set of principles for the design, development, deployment, and use of Al.
"Responsible AI is about making a positive impact through the use of technology for our company and our customers," he began. Symbiotic is its first pillar. "It's important for us to responsibly adopt Al, what we call 'do no harm,' align with the appropriate business need, provide proper safety accountability measures, and then create solutions that are transparent and explainable.
"Making tech consistent and predictable by eliminating biases, keeping it grounded on enterprise knowledge is one aspect of the second pillar, Sustainability. It also incorporates the environmental impact perspective," he said. "These models require a lot of computing power to train, so making sure that the energy used isn't driving additional environmental impact or that you're reducing that impact, through other means of providing a positive impact for the environment through the use of Al."
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