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AWS Kendra

Product
The name of the base system (platform): Amazon Web Services (AWS)
Developers: Amazon
Date of the premiere of the system: December, 2019
Last Release Date: May, 2020
Branches: Internet services

2020: Commercial start

On May 11, 2020 announced Amazon commercial start of the Amazon Web Services Kendra platform several months later after its announcement.

Kendra offers a search line by analogy with search systems, such as Google and "Yandex" using which employees can find the data which are in the organization in which they work.

Amazon started the tool with machine learning for data retrieval in the companies

The feature of Kendra consists in use of machine learning which allows to set to the search system requests a natural language. Kendra analyzes the maintenance of a question and then or provides the answer to it with indication of a source, or outputs the document which contains the necessary information.

For example, the user can ask: "When the technical support service begins to work?" And Kendra will answer: "At 9:30 a.m.". Questions can be and such: "How to me to configure VPN?", "How many it is required to time for adoption of the new bill?" or "What genetic markers at an amyotrophic lateral sclerosis?"

Results are displaid on decrease of relevance. So on the first place — that which a system considers the most exact.

As of May, 2020 the platform is trained to answer questions in the following industries: information technologies, health care, insurance, power, industry, banking sector, law, entertainments, travel and hotel business, human resources, mass media, news, telecommunications, mineral extraction, production of food and drinks, automotive industry. Support of other industries is expected in the second half of 2020.

As told in AWS, Kendra indexes all internal sources of the organization "after several clicks by a mouse". She is capable to be guided in large volumes of the unstructured data of a different format which are in the different isolated databases (for example, in SharePoint, Amazon Simple Storage Service and local storage systems).[1]

Notes