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SEMLA 2021

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SEMLA 2021 conference of June 15th

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Software Innovation to Enable Broad-Based AI Literacy

Speaker: Nisha Talagala, CEO and Co-founder of Pyxeda AI and AIClub

Abstract

The AI market is projected to grow to $190 Billion by 2025. AI is being used in every industry and is projected to be a core skill for the future. While lack of production machine learning (MLOps) was a limiter in the last few years, these limits are starting to be overcome, with MLOps practices now standard in many organizations. More businesses are starting to see positive returns from their AI initiatives. We are shifting to a new phase of AI development, where broad segments of the non-technical workforce are encountering AI in their job roles. This is both exciting and fraught with peril. Instances of AI failures, legal issues, and ethical issues are rising. There is pressure on AI development to accommodate not just data scientists but people from all walks of life.

In this talk, we discuss recent AI and Machine Learning technology trends and the role of MLOps in driving AI commercial success. We then discuss what it takes to bring AI knowledge out of the technical domain and into the broader workforce, and technology trends like low-code that enable broad adoption. We will describe a software framework that enables AI Literacy via a number of novel approaches – including automation of data preparation, automated AI compiler/code generation, agile iteration, and optimization of the entire AI lifecycle. We will then discuss the use of this software infrastructure in AWS and GCP to implement a framework for AI Literacy – the Four Cs – and experiences of bringing AI literacy to individuals worldwide.

Presentation and slides in English

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Biography of the speaker

Nisha Talagala is the CEO and founder of AIClub.World. Nisha has significant experience in bringing AI Literacy to individuals from students to professionals. Previously, Nisha co-founded ParallelM which pioneered the MLOps practice of managing Machine Learning in production for enterprises – acquired by DataRobot. 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 enterprise 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 Ph.D. at UC Berkeley where she did research on clusters and distributed systems. Nisha holds 73 patents in distributed systems and software, over 25 refereed research publications, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes and other publications.

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