4 Organizations up Their Digital Transformation
Implementing an artificial intelligence framework can be instrumental in helping your organization gain a competitive edge.
By Nicole Trudeau and Si Yuan Zhang10/01/2018
Implementing an artificial intelligence (AI) framework can be instrumental in helping your organization gain a competitive edge. However, understanding that concept and actually initiating those steps to move forward are two different things–especially because the process of implementing a full AI solution can be daunting.
That’s where Dez Blanchfield, digital transformation expert and avid podcaster, steps in to speak with business leaders about AI and the deep learning adoption in “From Here to AI,” a podcast series from IBM IT Infrastructure. The series is broken up into four different episodes where Blanchfield speaks with a business executive exploring how they implemented AI strategies into their organizations. Each episode outlines the different stages of carrying out AI at your company’s data center which will put your hesitations at ease.
See (or hear) for yourself in episode one, which explores the topic of the business landscape constantly changing and why that drives a need for AI. Throughout the remainder of the four-part series, you’ll learn about identifying the most important factors to consider when building an AI strategy, overall trends for GPUs, machine versus deep learning, high-performance computing and supercomputers and the costs of running and executing a data center.
Find “From Here to AI” using the following podcast applications and services: iTunes, Google Play, SoundCloud, Acast, Mixcloud, iVoox, Listen Notes, Stitcher, Player FM, Ustream, Podomatic, Myspace, YouTube, TuneIn, Ubook, MixLr, Tumblr, Podchaser, Pod Paradise, podbay.fm, Castbox, Castify, Anchor and Subscribe On Android by BluBrry. Learn more by visiting ibm.co/2LV00y4.
Nicole Trudeau is the digital marketer and customer support for the IBM Toronto Lab. Si Yuan Zhang is the offering manager for XL Power Compilers, IBM China Systems Lab.
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