Startups are looking for ways to reduce manual document processing and move to AI driven, scalable document extraction processes with high accuracy and low cost.
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The processing of eKYC, invoices and other forms are some of the critical document extraction use cases where many startups are either using 3rd party solutions, but concerned about security, compliance and cost or have built solutions themselves but are struggling with low accuracy.

In this session:

• We will look at various use cases which involve document processing and learn to automate them using AWS AI/ML services.
  
• We will present demos and reference architecture of solutions built on AWS.
  
• We will showcase customer references of startups and learn how they achieved accuracy above 97 percent accuracy for Aadhar, voter ID, form 16, passport and reduce cost up to 40 percent.
  

Medical patient data is untapped and undervalued. Forward thinking healthcare entities are now looking for ways to effectively extract value from medical data. Insights from this data can prove to be especially useful in these times, where telemedicine and virtual doctor consultations have become the norm.
In this session, we focus upon four use cases where AI/ML can be leveraged to drive patient outcomes. We also have two end to end live demos where we take you through the implementation of the use cases.

‍In this session we deep dive into:

• Medical image analysis (with live demo):
  The use of AI has assisted radiologists and pathologists looking to accelerate their productivity and potentially improve their accuracy. See how you can use AWS services to drive medical image analysis.
  
• Extracting insights from medical documents:
  Leverage Natural Language Processing (NLP) to extract relevant insights from their medical/patient data for requirements such as:
  - Medical reporting
  - Medical claims ingestion
  - Clinical documentation analysis
  - Unstructured data processing
  
• Building conversational agents specific to healthcare (with live demo):
  Patients are looking for intuitive digital means to connect with their healthcare providers. We will showcase how you may embed clinical and operational protocols into conversational agents and deploy an AWS powered agent/chatbot.
  
• Personalisation of consumer experience:
  Remote healthcare delivery includes various consumer touchpoints such as teleconsultation, outreach through contact centres, and SMS/Email engagement. AWS has a number of services to help you personalise such engagements.
  

• We will look at various use cases which involve document processing and learn to automate them using AWS AI/ML services.
  
• We will present demos and reference architecture of solutions built on AWS.
  
• We will showcase customer references of startups and learn how they achieved accuracy above 97 percent accuracy for Aadhar, voter ID, form 16, passport and reduce cost up to 40 percent.
  

AI/ML is pushing tech to explore new frontier and break barriers – and the gaming industry is no different. Today, game companies are engaging players through personalised content, engaging experiences and other innovative methods. From detecting fraud to predicting player behaviour, from automating speech recognition to play testing, Artificial Intelligence and Machine Learning are playing a key role in the gaming revolution. Leveraging these technologies can make games smarter, help speed up development and provide smoother and a more satisfying player experience.  

In this session, the speaker will present two use cases to help you know more about:

• Anomaly detection – Games are constantly under the threat of getting abused with some players trying to hack and cheat, doing aim botting, wall hacks, etc. If such malicious actors are not detected and banned from the game, there is a huge negative impact on the game and will cause other players to become frustrated leading to poor Games experience
  
• Revenue generation – You can better monetize your Game by incorporating personalized content recommendations. With Machine Learning, you can find players that are likely to do in-app purchases, you can show personalized content to drive purchases or show only relevant ads to players to improve monetization