Plug and Play – AI Services From AWS

Amazon has recently launched some artificial intelligence (AI) services that are specifically designed to help companies gain better insight by using their business data spread across multiple sources and from documents and conversations with customers. Some of the examples of these services are Contact Lens for Amazon Connect and Amazon Kendra that can be previewed immediately on the company’s cloud service, i.e., Amazon Web Services.
The company announced the launch of these services at Amazon’s annual cloud event in Las Vegas, aiming to help the company’s cloud customers incorporate complex functionalities like natural language processing. The best part is that these services are fast and quick and don’t have long waits that are often associated with AI-related projects. The same has been made possible by integrating machine learning into the two new stand-alone services.

Some Points of Fascination

The new AI tools are designed to help you by processing your company’s data and attach meaning to that information by the means of methods that identify patterns.

• It doesn’t require any machine-learning expertise to use these services.
• They just plug and play, i.e., you don’t have to get into all the weeds and get the training data.
• You don’t even have to label the data or do anything similar.

AI is an emerging technology, and it is not easy for companies to implement the same since the technology still hasn’t matured yet. This is why most enterprises are struggling with AI. Another reason for the same is the lack of skilled personnel.

But Amazon has taken this initiative to simplify the use of AI by introducing these Plug and Play services like Contact Lens and Kendra, enabling enterprises to harness the power of AI for contact centres and enterprise search without needing help from machine-learning experts or data scientists. Let’s discuss the most popular service from the set.

Amazon Kendra
It is an AI-enabled enterprise search tool that answers your queries by combing a variety of data sources within your organization. You can easily implement this search tool on websites and interfaces, such as chatbots. Kendra lays its foundation on deep learning models to understand the text from multiple sources and across a number of domains. These domains include life sciences, legal, and financial services.

The machine-learning models under the hood will only get better at ranking and will provide more relevant, accurate answers to the questions as people use these services more and more. For instance, for a query of an employee at a client company asking when the IT help desk will open, Kendra will respond with an opening time and a map to the help desk. Isn’t that fascinating?! Not only this, but Kendra will also play an important role in helping knowledge workers who spend a lot of time searching for information.

More information is available at https://aws.amazon.com/kendra/

Plug and Play AI Services
AWS pre-trained AI services are designed to provide the users with ready-made intelligence for their applications and workflows. These AI services can easily be integrated with your applications to address common use cases. It could be personalizing your recommendations, modernizing your contact centre, or improving safety and security while increasing customer engagement.

All of the AI services from AWS are backed with the same deep learning technology that powers Amazon.com and their ML Services, ensuring that you get only the high quality and accuracy from continuously learning APIs. Acting as a cherry on the top, we have these AI services at our disposal, ready to be used, without requiring any machine learning experience. Here are is a brief:

• Advanced Text Analysis: This allows you to use natural language processing so that you can seamlessly extract insights and relationships from unstructured text.

• Automated Code Reviews: To help you automate code reviews and identify your most expensive lines of code.

• Chatbots: To facilitate easy build conversational agents that will improve customer service while increasing contact centre efficiency.

• Demand Forecasting: It is meant to help you build accurate forecasting models that are based on the same ML forecasting technology used by Amazon.com.

• Document Analysis: This tool saves you a lot of time by automatically extracting text and data from millions of documents in a minimum time.

• Enterprise Search: It allows you to add natural language search capabilities to your existing apps and helps your users find the information they need more easily.

• Fraud Prevention: To help you identify potentially fraudulent online activities by harnessing the power of AI.

• Image and Video Analysis: You can easily add image and video analysis to your applications or catalogue assets by using this tool. It also helps you automate media workflows.

Other AI-powered Plug and Play tools from AWS include personalized recommendations, real-time translation, text to speech conversion, and transcription services. More information is available at https://aws.amazon.com/machine-learning/ai-services/