Speaker "Nisha Talagala" Details Back



Workshop (4hrs): Workshop: How to build and integrate AI features into your applications



Every day brings new and advanced 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 interested in building AI capabilities into their applications.
In this workshop we show how to build effective AI services for your applications. We will run through several use cases of numerical and text analysis data - from the beginning of raw data to a fully deployed and managed AI service in the cloud - with all the steps in between (data preparation, feature engineering, model training, model validation, deployment, application integration and monitoring). You will also learn how to assess whether AI is helping your business application and how to manage and tune your new AI feature over time.
Who is this presentation for?
This presentation is for anyone who is interested in learning how to use and deploy AI, and for those who have applications (app developers, etc.) who would like to integrate AI features into their applications.
Prerequisite knowledge:
Basic knowledge of an application programming language (Python, Java or Scala) is desirable.
What you'll learn?
How to create a AI feature from raw data
How to integrate an AI feature into an application
How to assess the effectiveness of the AI feature in adding value to the application.


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.