![]() We look forward to working with LSBU in future as they develop and expand their digital offering. We’re delighted to be working so closely with the University to bring this vision to life. We were confident we could work collaboratively with ANS to deliver this truly unique project.”Īndy Barrow, CTO at ANS, said: “Chatbot technology isn’t new to the higher education sector, but London South Bank University are really pushing boundaries with their unique digital vision for improving the student experience. Their agile delivery model was hugely valuable to us – reinforced by the company’s proven successful track record in the higher education sector. “ANS have worked with us to provide a unique chatbot foundation. We wanted to build on this knowledge base to leverage the power of a combination of these technologies, to create a truly unique and engaging digital offering for our students. Voice and facial recognition technology have been around for a number of years now, as has AI and machine learning. Alex Denley, LSBU’s Director of Innovation and Transformation said: “We wanted to develop a sophisticated chatbot that could do more than just answer frequently asked questions. Well make our hands dirty and take a challenge in. This project is in the very early stages of development and it’s estimated it will take several months to reach the launch stage. This course is designed for creating intelligent chatbot interfaces with AWS (Application Web Services). This could include the time and location of their next lecture, instructions on how to get there and even enable them to pre-order their favourite drinks and hot snacks en route to their destination.Īs well as providing useful information and returning responses to frequently asked questions, the plan is that, over time, Ellie will use machine learning and predictive analytics to make suggestions and recommendations to students without the need for a prompt. AWS Chatbot works with a number of AWS services, including Amazon CloudWatch, AWS Security Hub, and Amazon GuardDuty. Whenever a student approaches a screen, Ellie the chatbot will verbally communicate personalised information to that student, tailored to their individual requirements and preferences. Documentation AWS Chatbot Monitoring AWS services using AWS Chatbot PDF RSS You can use AWS Chatbot to monitor and receive notifications about other AWS services. The concept currently in development consists of strategically located screens around campus that will communicate with students. ![]() Using Amazon Sumerian and voice-enabled technology, LSBU will create a unique avatar to produce a 3D front-end experience for university students.Īccess to LSBU’s chatbot, ‘Ellie’ will be provided across multiple digital screens located around the university campus. LSBU has leveraged ANS’ chatbot accelerator, ‘Basebot’, and the AWS cloud to provide a foundation on which to develop their chatbot, ‘Ellie’. To say that AWS re:Invent was busy would be a colossal understatement. To the stack that pre-creates the log group as part of the stack deployment, if it already doesn't exist, and sets theĬorrect log retention period (never expire, by default).London South Bank University (LSBU) has partnered with leading Cloud and Digital Services Provider, ANS, to begin developing a unique chatbot that could one day be used to enhance online communication with students. Workgrid Launches Partnership with Amazon Kendra to Improve Chatbot Capabilities. Note that, if logRetention is set, a CloudFormation custom Combining real-time voice AI and automation, our solutions enable enterprises to convert conversations into real ROI. The logRetentionRetryOptions propertyĪllows you to customize the maximum number of retries and base backoff duration. If the log group already exists, it's expiration will be configured to the value specified in this construct (never expire, by default).īy default, CDK uses the AWS SDK retry options when interacting with the log group. A log group will be created if not already exists. The logRetention property can be used to set a different expiration period. Slack channel configuration automatically create a log group with the name /aws/chatbot/ in us-east-1 upon first execution with ![]() SlackChannelConfiguration ( this, 'MySlackChannel', ) ) slackChannel. Import * as chatbot from import * as sns from import * as iam from const slackChannel = new chatbot. ![]()
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