How Machine Learning Will Play a Key Role In Hospitality
During this episode of HiveCast, Matthew FitzGerald returns the show (check out part 1 if you haven’t) to finish our two-part discussion on cloud and AI, touching on Aerohive’s innovating and leading use of these technologies. Matthew FitzGerald is the Director of Hospitality and MDU Solutions at Aerohive. He has been focused on Wi-Fi and Networking in the Hospitality and MDU Industry, handling everything from design and deployments, to publishing and speaking on technology in this vertical.
In this episode, Matthew discusses how machine learning will play a key role in the hospitality industry. As we examined in our previous episode concerning the cloud, the economics of compute power and the ability to create large data lakes has really come into its own and made AI available for many more applications. We see products and services touched by AI everywhere; web retails predicting our next purchase, smart cars “see” pedestrians and know to stop, natural language customer support systems that are answering questions either over the phone or written, social media bots that create commentary on the latest news, and financial service models and transactions controlled by AI.
Aerohive is aiding the network management of hotels, making it more than just connectivity by offering an extension of true operations and business intelligence. IT will not be looking at individual KPIs and troubleshooting single events because Aerohive provides machine assistance, which allows IT staff to instead focus on top concerns and strategic efforts. As the organization moves away from a break/fix mode of operation, it allows larger business solutions and goals to be prioritized with greater impact on overall company success.
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