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 boundaries typically hinder the distribution and comprehension of this information throughout essential encounters. Workshops, conferences, and coaching periods function platforms for collaboration and information sharing, the place the attendees can perceive the data 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 sort out this problem by pioneering, Infosys Occasion AI, an modern AI-based occasion assistant. Infosys Occasion AI is designed to make information universally accessible, ensuring that invaluable insights usually are not misplaced and will be effectively utilized by people and organizations throughout numerous industries each throughout the occasion and after the occasion has concluded. The absence of such a system hinders efficient information sharing and utilization, limiting the general affect of occasions and workshops. By reworking ephemeral occasion content material right into a persistent and searchable information asset, Infosys Occasion AI seeks to boost information utilization and affect.
A few of the challenges in capturing and accessing occasion information embrace:
- Data from occasions and workshops is commonly misplaced because of insufficient seize strategies, with conventional note-taking being incomplete and subjective.
- Reviewing prolonged recordings to search out particular info is time-consuming and inefficient, creating boundaries to information retention and sharing.
- Individuals who miss occasions face vital obstacles accessing the information shared, impacting sectors like training, media, and public sector the place info 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 outline of Occasion AI, highlighting its key options and workflow. Occasion AI delivers these core functionalities, as illustrated within the structure diagram that follows:
- Seamless reside stream acquisition from on-premises sources
- Actual-time transcription processing for speech-to-text conversion
- Publish-event processing and information base indexing for structured info retrieval
- Automated technology of session summaries and key insights to boost accessibility
- AI-powered chat-based assistant for interactive Q&A and environment friendly information 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 AWS Identification and Entry Administration (IAM) insurance policies for safety functions.
Seamless reside stream acquisition
The answer begins with an IP-enabled digital camera capturing the reside 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 MediaConnect. The ingested stream is then acquired 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 digital camera or floor encoder to transform non-IP streams into IP streams and transmit them by SRT protocol to MediaConnect for reside 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 reside video stream. This audio-only stream is then forwarded to a real-time transcriber module. The actual-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 net shopper by safe WebSocket connections. The next screenshot reveals a short demo primarily based on a fictitious state of affairs as an instance 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 reside 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 actual-time transcriber module receives the audio-only stream and employs the Amazon Transcribe stream API to provide real-time transcriptions with low latency.
- The actual-time transcriber module makes use of a safe WebSocket to transmit the transcribed textual content.
- The on-premises net shopper receives the transcribed textual content by a safe WebSocket connection by Amazon CloudFront and shows it on the net shopper’s UI.
The under diagram reveals the live-stream acquisition and real-time transcription.
Publish-event processing and information 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 information base for seamless retrieval. Moreover, Amazon Nova Professional allows multilingual translation of the transcripts, offering world accessibility when wanted. With its high quality and pace, 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
- (Non-compulsory) 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 information is then listed and saved in Amazon Bedrock information base for environment friendly retrieval
These steps are proven within the following diagram.
Automated technology of session summaries and key insights
To reinforce person expertise, the answer makes use of Amazon Bedrock to investigate the transcriptions to generate concise session summaries and key insights. These insights assist customers rapidly perceive the essence of the occasion with out going by prolonged transcripts. The under screenshot reveals Infosys Occasion AI’s summarization functionality.
The workflow for this a part of the answer follows these steps:
- Customers authenticate in to the net shopper portal utilizing Amazon Cognito. As soon as authenticated, the person selects possibility 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 whole transcript from the S3 bucket.
- The transcript undergoes processing by Amazon Bedrock Professional, which is guided by Amazon Bedrock Guardrails. Consistent with accountable AI insurance policies, this course of ends in the technology of safe summaries and the creation of key insights which can be safeguarded for the person.
AI-powered chat-based assistant
A key function of this structure is an AI-powered chat assistant, which is used to interactively question the occasion information base. The chat assistant is powered by Amazon Bedrock and retrieves info 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 interact with the chat assistant utilizing pure language to request particular occasion messaging particulars from the shopper net 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 technology of insights and AI-chat assistant are proven within the following diagram.
Outcomes and Influence
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 individuals 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
By utilizing the answer, Infosys was in a position to notice the next key advantages for his or her inside customers and for his or her clients:
- Enhanced information retention – Throughout the occasions, Infosys Occasion AI was accessible from each cell and laptop computer units, offering an immersive participation expertise for each the web and offline occasion.
- Improved accessibility – Session information turned rapidly accessible after the occasion by transcripts, summaries, and the clever chat assistant. The occasion info is available for attendees and for individuals who couldn’t attend. Moreover, Infosys Occasion AI aggregates the session info from earlier occasions, making a information archival system for info retrieval.
- Elevated engagement – The interactive chat assistant supplies deeper engagement throughout the occasion periods, which suggests customers can ask particular questions and obtain fast, 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 looking for particular info.
Impacting A number of Industries
Infosys is positioned to speed up the adoption of Infosys Occasion AI throughout numerous industries:
- AI-powered assembly administration for the enterprises – Companies can use the system for producing assembly minutes, creating coaching documentation from workshops, and facilitating information 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 transcripts and summaries, bettering transparency and citizen engagement. The platform allows searchable archives of parliamentary proceedings for researchers, policymakers, and the general public, creating accessible data for historic reference.
- Accelerated learnings and information retention within the training sector – College students successfully evaluate lectures, seminars, and workshops by transcripts and summaries, reinforcing studying, and bettering information retention. The chat assistant permits for interactive studying and clarification of doubts, appearing as a digital educating assistant. That is notably 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 bettering reporting accuracy. Summaries present fast overviews of occasions, enabling quicker information dissemination. The chat assistant facilitates fast fact-checking (with supply quotation) and data retrieval from occasion recordings.
- Improved accessibility and inclusivity throughout the trade – Actual-time transcription supplies 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. Via its suite of options—together with real-time transcription, clever summaries, and an interactive chat assistant—Infosys Occasion AI makes occasion information accessible and supplies 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 clients in two variations: as a multi-tenanted, software-as-a-service (SaaS) answer and as a single-deployment answer. Infosys can also be including capabilities to incorporate an occasion catalogue, information lake, and occasion archival system to make the occasion info accessible past the scope of the present occasion. By utilizing AWS managed companies, Infosys has made Occasion AI a available, interactive, immersive and invaluable useful resource for college students, journalists, policymakers, enterprises, and the general public sector. As organizations and establishments more and more depend on occasions for information dissemination, collaboration, and public engagement, Occasion AI is effectively positioned to unlock the complete 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 clients migrate and modernize their workloads on AWS cloud. He’s a Cloud Architect with 24+ years of expertise designing and growing enterprise, large-scale and distributed software program methods. He focuses on Generative AI & Machine Studying with deal with Knowledge and Function Engineering area. He’s an aspiring marathon runner and his hobbies embrace climbing, bike driving and spending time along with his spouse and two boys.
Maheshwaran G is a Specialist Answer Architect working with Media and Leisure supporting Media corporations in India to speed up development in an modern trend leveraging the facility of cloud applied sciences. He’s enthusiastic about innovation and at present holds 8 USPTO and eight IPO granted patents in diversified domains.
Saibal Samaddar is a senior principal marketing consultant at Infosys Consulting and heads the AI Transformation Consulting (AIX) apply 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. Recognized to be a visionary who can navigate advanced transformations and make issues occur, he has performed a pivotal position in successful a number of new accounts for Infosys Consulting (IC).
Tanushree Halder is a principal marketing consultant 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 nations to supply her advisory companies in AI with purchasers in BFSI, retail and logistics, hospitality, healthcare and shared companies.
Lokesh Joshi is a marketing consultant at Infosys Consulting. He has labored with a number of purchasers to strategize and combine AI primarily based options for workflow enhancements. He has over 4 years of expertise in AI/ML, GenAI improvement, full Stack improvement, and cloud companies. He focuses on Machine Studying and Knowledge Science with a deal with Deep Studying and NLP. A health fanatic, his hobbies embrace programming, climbing, and touring.
