Kendra’s suggested answer, which will provide a straightforward answer to the question based on the most reliable information found within the indexed files.įAQs, so users can explore alternate versions of their questionĪ list of related documents, arranged in order of relevance by a semantic deep learning model Product Manager Jean-Pierre Dodel who explained that responses to user inquiries with Kendra will be broken into three different categories: The power of this promise was previewed at re:Invent by Amazon Web Services Sr. ![]() The costs of such inefficiency are staggering, with losses starting in the millions for even small organizations with only 1,000 employees.Īmazon Kendra takes a step in the direction of putting an end to all of that by delivering on the goal of “answers, not links.” It’s a huge problem because employees spend 36% of every average work day looking for and compiling information they need to do their jobs – and 44% of the time they fail to find what they need. ![]() There’s no intelligence involved in the process and because of that, the results that are delivered are, more often than not, terrible. Users type a word related to their inquiry and the engine spits back a list of resources that contain that word. The enterprise search of today functions through the use of keyword searches. Gillian McCann, Head of Cloud Engineering & AI, Workgrid Software Fixing the problems with Enterprise Search “Kendra does the heavy lifting of providing the needed AI tools and connecting data sources.” Because Kendra makes it possible to easily abstract specific answers that would normally be hidden deep within disparate and impossible to index resources like manuals, research reports, FAQs, and PDF documents, the chatbot will now be able to deliver personalized information to employees faster and more accurately than ever before. For one, Workgrid is a proud launch partner of Kendra, which opens up a whole world of opportunities for the Workgrid chatbot. This announcement is significant on a number of levels. Included in the flurry was news focused on improving enterprise search.Īmazon Kendra, “a new, highly accurate and easy to use enterprise search service powered by machine learning,” touts “a more intuitive way to search, using natural language, and returns more accurate answers so your end users can discover information stored within the vast amount of content spread across your company.” It also aims “to help the company’s cloud customers incorporate functionality such as natural language processing, but without long waits often associated with AI-related projects,” according to a recent Wall Street Journal article that quotes our own Head of AI and Cloud Engineering, Gillian McCann. ![]() In addition to 65,000 attendees, more than 2,500 sessions and hundreds of vendors, Amazon also announced more than 77 product launches, feature releases or new services. To say that AWS re:Invent was busy would be a colossal understatement. This includes individuals, who are residents of, and organizations domiciled in Brazil, Quebec, Cuba, Sudan, Iran, North Korea, Syria and any other country designated by the United States Treasury's Office of Foreign Assets Control.Įmployees of Amazon or its affiliates, Slack, and Devpost are not eligible to participate.Workgrid announces a new launch partnership with Amazon Kendra during the AWS re:Invent 2019 event. or local law prohibits participating in the competition or receiving a prize. However, individuals or organizations may be disqualified if they are based in a nation, state, province, or territory where U.S. The competition welcomes submitters from most countries around the globe. Large Organizations (employ more than 50 people) in eligible areas will be eligible for a non-cash recognition prize. ![]()
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