{"id":980,"date":"2019-02-28T17:10:21","date_gmt":"2019-02-28T17:10:21","guid":{"rendered":"https:\/\/devexperts.com\/blog\/?p=980"},"modified":"2022-06-29T15:42:19","modified_gmt":"2022-06-29T15:42:19","slug":"how-are-chatbots-using-ai-to-talk-their-way-into-enterprises-it-landscapes","status":"publish","type":"post","link":"https:\/\/devexperts.com\/blog\/how-are-chatbots-using-ai-to-talk-their-way-into-enterprises-it-landscapes\/","title":{"rendered":"How Chatbots Talk Their Way into Enterprises\u2019 IT Landscapes?"},"content":{"rendered":"\n

There are at least two use cases.<\/p>\n\n\n\n

The first one is an internal concierge, when robots help out\nwith ordering stationary, arrange travel or help onboarding new employees. The\nmore cloud solutions are in use by an enterprise, the easier the adoption of\nthe tools, which simply interconnect many such systems\n(“integrations”). The key is of course public APIs of those systems.\nOtherwise it takes skill and time of internal development forces and certainly\nlimits the global adoption of such tools as chatbots.<\/p>\n\n\n\n

The second use case is customer support and pre-sale\nautomation. Take a look at Intercom’s solution and trends. The main barrier here\nis the way the big data is stored and the technology available for a regular\ncompany to process and label it. <\/p>\n\n\n\n

The reason is that the ML tools are still not that easy to use. We need it at the level that an ordinary IT person could use it like he or she uses bash scripts nowadays.<\/p><\/blockquote>\n\n\n\n

Another issue is regulation around the data (such as GDPR)\nscares many enterprises and they prefer to stick to the known solutions. It is\nhard to persuade such a company to move on with the cloud chatbot solution. And\nsince many of the enterprises still don’t have ML as a core expertise, they can\nimplement a rule-based chatbots at best. More often, this leads to poor performance\nand bad customer experience. Disappointed, such companies shelve such projects\nfor some time, maybe even years.<\/p>\n\n\n\n

However, with the great adoption of voice assistants we are bullish on conversational UIs including chatbots!<\/p>\n","protected":false},"excerpt":{"rendered":"

There are at least two use cases. The first one is an internal concierge, when robots help out with ordering … <\/p>\n","protected":false},"author":7,"featured_media":1370,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2021],"tags":[65,66],"class_list":["post-980","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-brokerage","tag-ai","tag-chatbot"],"acf":{"nifty_post_card_image":4581,"nifty_post_card_index_big":"","nifty_post_inner_image":"","nifty_post_card_banner":""},"yoast_head":"\nHow Chatbots Talk Their Way into Enterprises\u2019 IT Landscapes<\/title>\n<meta name=\"description\" content=\"There are at least two use cases how chatbots can be adopted by enterprise companies: as an internal concierge for the employees or customer support\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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