This put up is co-written with Saibal Samaddar, Tanushree Halder, and Lokesh Joshi from Infosys Consulting.
Crucial insights and experience are concentrated amongst thought leaders and consultants throughout the globe. Language limitations typically hinder the distribution and comprehension of this data throughout essential encounters. Workshops, conferences, and coaching periods function platforms for collaboration and data sharing, the place the attendees can perceive the knowledge being conveyed in real-time and of their most popular language.
Infosys, a number one world IT companies and consulting group, used its digital experience to deal with this problem by pioneering, Infosys Occasion AI, an progressive AI-based occasion assistant. Infosys Occasion AI is designed to make data universally accessible, ensuring that beneficial insights usually are not misplaced and may be effectively utilized by people and organizations throughout various industries each throughout the occasion and after the occasion has concluded. The absence of such a system hinders efficient data sharing and utilization, limiting the general influence of occasions and workshops. By reworking ephemeral occasion content material right into a persistent and searchable data asset, Infosys Occasion AI seeks to boost data utilization and influence.
Among the challenges in capturing and accessing occasion data embrace:
- Data from occasions and workshops is commonly misplaced on account of insufficient seize strategies, with conventional note-taking being incomplete and subjective.
- Reviewing prolonged recordings to seek out particular data is time-consuming and inefficient, creating limitations to data retention and sharing.
- Individuals who miss occasions face vital obstacles accessing the data shared, impacting sectors like training, media, and public sector the place data recall is essential.
To deal with these challenges, Infosys partnered with Amazon Net Providers (AWS) to develop the Infosys Occasion AI to unlock the insights generated throughout occasions. On this put up, we clarify how Infosys constructed the Infosys Occasion AI answer utilizing a number of AWS companies together with:
Answer Structure
On this part, we current an summary of Occasion AI, highlighting its key options and workflow. Occasion AI delivers these core functionalities, as illustrated within the structure diagram that follows:
- Seamless dwell stream acquisition from on-premises sources
- Actual-time transcription processing for speech-to-text conversion
- Submit-event processing and data base indexing for structured data retrieval
- Automated era of session summaries and key insights to boost accessibility
- AI-powered chat-based assistant for interactive Q&A and environment friendly data retrieval from the occasion session
Answer walkthrough
Subsequent, we break down every performance intimately. The companies used within the answer are granted least-privilege permissions by way of AWS Id and Entry Administration (IAM) insurance policies for safety functions.
Seamless dwell stream acquisition
The answer begins with an IP-enabled digicam capturing the dwell occasion feed, as proven within the following part of the structure diagram. This stream is securely and reliably transported to the cloud utilizing the Safe Dependable Transport (SRT) protocol by way of MediaConnect. The ingested stream is then obtained and processed by MediaLive, which encodes the video in actual time and generates the mandatory outputs.
The workflow follows these steps:
- Use an IP-enabled digicam or floor encoder to transform non-IP streams into IP streams and transmit them by way of SRT protocol to MediaConnect for dwell occasion ingestion.
- MediaConnect securely transmits the stream to MediaLive for processing.
Actual-time transcription processing
To facilitate real-time accessibility, the system makes use of MediaLive to isolate audio from the dwell video stream. This audio-only stream is then forwarded to a real-time transcriber module. The true-time transcriber module, hosted on an Amazon Elastic Compute Cloud (Amazon EC2) occasion, makes use of the Amazon Transcribe stream API to generate transcriptions with minimal latency. These real-time transcriptions are subsequently delivered to an on-premises internet shopper by way of safe WebSocket connections. The next screenshot exhibits a short demo based mostly on a fictitious situation for example Occasion AI’s real-time streaming functionality.
The workflow steps for this a part of the answer follows these steps:
- MediaLive extracts the audio from the dwell stream and creates an audio-only stream, which it then sends to the real-time transcriber module working on an EC2 occasion. MediaLive additionally extracts the audio-only output and shops it in an Amazon Easy Storage Service (Amazon S3) bucket, facilitating a subsequent postprocessing workflow.
- The true-time transcriber module receives the audio-only stream and employs the Amazon Transcribe stream API to provide real-time transcriptions with low latency.
- The true-time transcriber module makes use of a safe WebSocket to transmit the transcribed textual content.
- The on-premises internet shopper receives the transcribed textual content by way of a safe WebSocket connection by way of Amazon CloudFront and shows it on the net shopper’s UI.
The under diagram exhibits the live-stream acquisition and real-time transcription.
Submit-event processing and data base indexing
After the occasion concludes, recorded media and transcriptions are securely saved in Amazon S3 for additional evaluation. A serverless, event-driven workflow utilizing Amazon EventBridge and AWS Lambda automates the post-event processing. Amazon Transcribe processes the recorded content material to generate the ultimate transcripts, that are then listed and saved in an Amazon Bedrock data base for seamless retrieval. Moreover, Amazon Nova Professional permits multilingual translation of the transcripts, offering world accessibility when wanted. With its high quality and velocity, Amazon Nova Professional is ideally suited to this world use case.
The workflow for this a part of the method follows these steps:
- After the occasion concludes, MediaLive sends a channel stopped notification to EventBridge
- Lambda operate, subscribed to the channel stopped occasion, triggers post-event transcription utilizing Amazon Transcribe
- The transcribed content material is processed and saved in an S3 bucket
- (Optionally available) Amazon Nova Professional interprets transcripts into a number of languages for broader accessibility utilizing Amazon Bedrock
- Amazon Transcribe generates a transcription full occasion and sends it to EventBridge
- A Lambda operate, subscribed to the transcription full occasion, triggers the synchronization course of with Amazon Bedrock Data Bases
- The data is then listed and saved in Amazon Bedrock data base for environment friendly retrieval
These steps are proven within the following diagram.
Automated era of session summaries and key insights
To boost person expertise, the answer makes use of Amazon Bedrock to research the transcriptions to generate concise session summaries and key insights. These insights assist customers shortly perceive the essence of the occasion with out going by way of prolonged transcripts. The under screenshot exhibits Infosys Occasion AI’s summarization functionality.
The workflow for this a part of the answer follows these steps:
- Customers authenticate in to the online shopper portal utilizing Amazon Cognito. As soon as authenticated, the person selects choice within the portal UI to view the summaries and key insights.
- The person request is delegated to the AI assistant module, the place it fetches the entire transcript from the S3 bucket.
- The transcript undergoes processing by way of Amazon Bedrock Professional, which is guided by Amazon Bedrock Guardrails. In keeping with accountable AI insurance policies, this course of leads to the era of safe summaries and the creation of key insights which are safeguarded for the person.
AI-powered chat-based assistant
A key characteristic of this structure is an AI-powered chat assistant, which is used to interactively question the occasion data base. The chat assistant is powered by Amazon Bedrock and retrieves data from the Amazon OpenSearch Serverless index, enabling seamless entry to session insights.
The workflow for this a part of the answer follows these steps:
- Authenticated customers have interaction with the chat assistant utilizing pure language to request particular occasion messaging particulars from the shopper internet portal.
- The person immediate is directed to the AI assistant module for processing.
- The AI assistant module queries Amazon Bedrock Data Bases for related solutions.
- The transcript is processed by Amazon Nova Professional, guided by Amazon Bedrock Guardrails, to generate safe summaries and safeguard key insights. The combination of Amazon Bedrock Guardrails promotes skilled, respectful interactions by working to dam undesirable and dangerous content material throughout person interactions aligned with accountable AI insurance policies.
The next demo demonstrates Occasion AI’s Q&A functionality.
The steps for automated era of insights and AI-chat assistant are proven within the following diagram.
Outcomes and Affect
Infosys EventAI Assistant was launched on February 2025 throughout a accountable AI convention occasion in Bangalore, India, hosted by Infosys in partnership with the British Excessive Fee.
- Infosys Occasion AI was utilized by greater than 800 convention attendees
- It was utilized by round 230 folks each minute throughout the occasion
- The clever chat assistant was queried a mean of 57 instances each minute throughout the occasion
- A complete of greater than 9,000 occasion session summaries had been generated throughout the occasion
Through the use of the answer, Infosys was capable of notice the next key advantages for his or her inside customers and for his or her prospects:
- Enhanced data retention – Through the occasions, Infosys Occasion AI was accessible from each cell and laptop computer gadgets, offering an immersive participation expertise for each the net and offline occasion.
- Improved accessibility – Session data turned shortly accessible after the occasion by way of transcripts, summaries, and the clever chat assistant. The occasion data is available for attendees and for many who couldn’t attend. Moreover, Infosys Occasion AI aggregates the session data from earlier occasions, making a data archival system for data retrieval.
- Elevated engagement – The interactive chat assistant gives deeper engagement throughout the occasion periods, which suggests customers can ask particular questions and obtain quick, contextually related solutions.
- Time effectivity – Fast entry to summaries and chat responses saves time in comparison with reviewing full session recordings or handbook notes when in search of particular data.
Impacting A number of Industries
Infosys is positioned to speed up the adoption of Infosys Occasion AI throughout various industries:
- AI-powered assembly administration for the enterprises – Companies can use the system for producing assembly minutes, creating coaching documentation from workshops, and facilitating data sharing inside groups. Summaries present fast recaps of conferences for executives, and transcripts provide detailed data for compliance and reference.
- Improved transparency and accessibility within the public sector – Parliamentary debates, public hearings, and authorities briefings are made accessible to most people by way of transcripts and summaries, enhancing transparency and citizen engagement. The platform permits searchable archives of parliamentary proceedings for researchers, policymakers, and the general public, creating accessible data for historic reference.
- Accelerated learnings and data retention within the training sector – College students successfully evaluate lectures, seminars, and workshops by way of transcripts and summaries, reinforcing studying, and enhancing data retention. The chat assistant permits for interactive studying and clarification of doubts, appearing as a digital instructing assistant. That is significantly helpful in on-line and hybrid studying environments.
- Improved media reporting and effectivity within the media trade – Journalists can use Infosys Occasion AI to quickly transcribe press conferences, speeches, and interviews, accelerating information cycles and enhancing reporting accuracy. Summaries present fast overviews of occasions, enabling sooner information dissemination. The chat assistant facilitates fast fact-checking (with supply quotation) and knowledge retrieval from occasion recordings.
- Improved accessibility and inclusivity throughout the trade – Actual-time transcription gives accessibility for hearing-challenged people. Multilingual translation of occasion transcripts permits participation by attendees for whom the occasion periods aren’t of their native language. This promotes inclusivity and a wider participation throughout occasions for the needs of data sharing.
Conclusion
On this put up, we explored how Infosys developed Infosys Occasion AI to unlock the insights generated from occasions and conferences. By its suite of options—together with real-time transcription, clever summaries, and an interactive chat assistant—Infosys Occasion AI makes occasion data accessible and gives an immersive engagement answer for the attendees, throughout and after the occasion.
Infosys is planning to supply the Infosys Occasion AI answer to their inside groups and world prospects in two variations: as a multi-tenanted, software-as-a-service (SaaS) answer and as a single-deployment answer. Infosys can be including capabilities to incorporate an occasion catalogue, data lake, and occasion archival system to make the occasion data accessible past the scope of the present occasion. Through the use of AWS managed companies, Infosys has made Occasion AI a available, interactive, immersive and beneficial useful resource for college kids, journalists, policymakers, enterprises, and the general public sector. As organizations and establishments more and more depend on occasions for data dissemination, collaboration, and public engagement, Occasion AI is nicely positioned to unlock the total potential of the occasions.
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In regards to the Authors
Aparajithan Vaidyanathan is a Principal Enterprise Options Architect at AWS. He helps enterprise prospects migrate and modernize their workloads on AWS cloud. He’s a Cloud Architect with 24+ years of expertise designing and creating enterprise, large-scale and distributed software program methods. He focuses on Generative AI & Machine Studying with give attention to Information and Function Engineering area. He’s an aspiring marathon runner and his hobbies embrace mountaineering, bike driving and spending time together with his spouse and two boys.
Maheshwaran G is a Specialist Answer Architect working with Media and Leisure supporting Media firms in India to speed up progress in an progressive style leveraging the facility of cloud applied sciences. He’s captivated with innovation and at present holds 8 USPTO and eight IPO granted patents in diversified domains.
Saibal Samaddar is a senior principal guide at Infosys Consulting and heads the AI Transformation Consulting (AIX) follow in India. He has over eighteen years of enterprise consulting expertise, together with 11 years in PwC and KPMG, serving to organizations drive strategic transformation by harnessing Digital and AI applied sciences. Identified to be a visionary who can navigate complicated transformations and make issues occur, he has performed a pivotal function in profitable a number of new accounts for Infosys Consulting (IC).
Tanushree Halder is a principal guide with Infosys Consulting and is the Lead – CX and Gen AI functionality for AI Transformation Consulting (AIX). She has 11 years of expertise working with purchasers of their transformational journeys. She has travelled to over 10 international locations to supply her advisory companies in AI with purchasers in BFSI, retail and logistics, hospitality, healthcare and shared companies.
Lokesh Joshi is a guide at Infosys Consulting. He has labored with a number of purchasers to strategize and combine AI based mostly options for workflow enhancements. He has over 4 years of expertise in AI/ML, GenAI growth, full Stack growth, and cloud companies. He focuses on Machine Studying and Information Science with a give attention to Deep Studying and NLP. A health fanatic, his hobbies embrace programming, mountaineering, and touring.
