![]() ![]() Personally, he enjoys reading nonfiction books and research articles on machine learning, distributed systems, and other major computing areas.Ben and Ed is a 3D platformer, which takes place in an uncommon dystopian world. Swami enjoys spending time with his family, hiking around the Pacific Northwest, and various other outdoor activities. Swami has been awarded more than 250 patents, has authored 40 referred scientific papers and journals, and participates in several academic circles and conferences. His team also works to deliver needle-moving capabilities in data and ML for specific verticals, use cases, and initiatives like Health AI, Industrial, Contact Center AI, Financial services, Enterprise Search, and more. Swami and his team innovate across multiple areas, from databases to analytics to machine learning and AI services. His team’s mission is to put the power of databases, analytics, and machine learning capabilities in the hands of every business, including developers, data scientists, and business users. Swami Sivasubramanian is Vice President of Data, Analytics, and Machine Learning at Amazon Web Services. K V Sureshkumar, Prototyping Architect, AWS IndiaĪrun Balaji, Principal Prototyping Engineer, AWS India We share how this device, powered by Amazon SageMaker and AWS IoT classify the activities in the brain and accurately translating to action. ![]() In this session, we demonstrate how Brain Computer Interface (BCI) device reads brainwaves and uses machine learning to translate them into real-time control signals for a robot. Forward thinking organizations across industries are now looking at BCI to transform user experience, in various use cases including ensuring drivers’ safety by tracking cognitive load, monitoring fatigue inputs and using the data to recommend rest or enabling workers to interact with a connected device using robotic arm to navigate and operate it as an extension of their body, without juggling a controller with their hands. Greg Roodt, Head of Data Platforms, Canvaīrain Computer Interface (BCI) is a direct communication pathway to collect brain signals, interpret them and outputting commands to a connected device. Learn how this solution enabled them to build user trust, safety and improve productivity, as manual moderation would have required Canva to deploy hundreds of moderators round the clock.īen Friebe, Senior ISV Solutions Architect, AWS We also share how Canva leverage Amazon Rekognition, which offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from images and videos. We dive deep into the architectural framework behind the end-to-end solution, how to remove heavy lifting from each step of the ML process, making it easier to develop high-quality models, rapidly roll out innovate new features to users and scale for future growth. ![]() ![]() Join this session to learn how global visual communications platform Canva built their new text-to-image functionality with Stable Diffusion on Amazon SageMaker, enabling them to scale the text-to-image feature to 100 million users quickly in less than 3 weeks. Ram Cholan, Senior Edge Specialist Solutions Architect, AWSĭeploying a Text to Image Model with Amazon SageMaker and Amazon Rekognition (Level 200) Julian Ju, Senior Edge Specialist Solutions Architect, AWS We also showcase how to use additional ways to protect your application with machine learning using Amazon Fraud Detector, a fully managed service that enables you to build, deploy, and manage custom fraud detection ML models quickly without previous ML experience. In this session, we explain how AWS Web Application Firewall enables you to proactively stop account takeover attempts at the network edge, prevent unauthorized access that may lead to fraudulent activities, and notify users in advance to take preventive action. Apart from financial losses, ATO fraud has effects on customer experience, brand loyalty, and reputation. Combat account takeover fraud with AWS (Level 300)Įvery year, many user accounts are compromised by different techniques such as credential stuffing, phishing, and social engineering, leading to account takeover (ATO) fraud. ![]()
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