As retailers and solution-providers eye artificial intelligence and figure out how to deploy the technology, Intel introduced a cross-company organization, the Artificial Intelligence Products Group, that aims to efficiently support customers with a consolidated and unified approach.
According to the company, the organization will unify efforts for more efficient production and development. “The new organization will align resources from across the company to include engineering, labs, software and more as we build on our current leading AI portfolio: the Intel Nervana platform, a full stack of hardware and software AI offerings that our customers are looking for from us,” the company said.
The introduction of the department also marks a concerted effort to double down on innovation within the AI sector. The organization will also include a AI-specific research lab that will solely center on advancements within the segment. “We will be exploring novel architectural and algorithmic approaches to inform future generations of AI,” Intel noted.
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The inauguration of the organization under Intel’s umbrella of products is one of the latest technology services. Wal-Mart Stores Inc., Target Corp. and eBay have all invested in artificial intelligence solutions in the last year — and for good reason. Consumers are not only demanding, but expect personalized and consistent experiences across platforms. Machine-learning technologies allow enhanced omnichannel interactions that suggest more accurate product recommendations, among other features.
For example, eBay utilized AI to release its Shop the Look feature under the eBay collective segment. Machine learning is deployed when a user hovers over an item in a photo and the tool will surface and suggest similar matches to it. EBay has also tapped the technology to implement a personalized shopping assistant bot via Facebook messenger. Target’s accelerator program, which helps start-ups develop initiatives that could help its future business, has selected companies that focus on mobile, social, search and data and analytics.
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