Speaker "Nisha Talagala" Details Back



Workshop: Full Stack Data Science. How to build AI from data to application in AWS


Every day brings new AI development tools for everything from advanced algorithms in adaptive learning and neural networks to hardware optimized libraries for GPUs and TPUs.  However, these vast array of technologies can become challenging to navigate for those wanting to use for their business/applications. There are many tools, but very few production uses. Those who can make AI work end to end are highly sought after unicorns out of reach for many businesses.
In this workshop we show how to build effective AI services for your applications. Using a common business use case, Pricing Prediction,we will run through the full production AI stack in the cloud, from the beginning of raw data to a fully deployed and managed AI service - with all the steps in between (data preparation, feature engineering, model training, model validation, deployment, application integration and monitoring). You will learn the requirements for each stage of the lifecycle and how to do, and how to link them together for a fully working AWS based production AI for a business.


Nisha Talagala is the CEO and founder of Pyxeda AI. Previously, Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production. Nisha is a recognized leader in the operational machine learning space, having also driven the USENIX Operational ML Conference, the first industry/academic conference on production AI/ML. Nisha was previously a Fellow at SanDisk and Fellow/Lead Architect at Fusion-io, where she worked on innovation in non-volatile memory technologies and applications. Nisha has more than 20 years of expertise in software development, distributed systems, technical strategy and product leadership. She has worked as technology lead for server flash at Intel - where she led server platform non-volatile memory technology development, storage-memory convergence, and partnerships. Prior to Intel, Nisha was the CTO of Gear6, where she designed and built clustered computing caches for high performance I/O environments.  Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha holds 63 patents in distributed systems and software, is a frequent speaker at industry and academic events, and is a contributing writer to several online publications.