Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215 episode artwork

EPISODE · Mar 5, 2024 · 51 MIN

Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215

from MLOps.community · host Demetrios

Anass Bensrhir is the Associate Partner of McKinsey & Company, Casablanca. Anu Arora is the Principal Data Engineer at McKinsey & Company.Check out mckinsey.com/quantumblackMLOps podcast #214 with QuantumBlack AI by McKinsey's Principal Data Engineer, Anu Arora and Associate Partner, Anass Bensrhir, Managing Data for Effective GenAI Application, brought to you by our Premium Brand Partner QuantumBlack AI by  @McKinsey. // AbstractGenerative AI is poised to bring impact across all industries and business functions. Across industries, while many companies pilot GenAI, only a few have deployed GenAI use cases, e.g., retailers are producing videos to answer common customer questions using ChatGPT. A majority of organizations are facing challenges to industrialize and scale, with data being one of the biggest inhibitors. Organizations need to strengthen their data foundations, given that among leading organizations, 72% noted managing data among the top challenges preventing them from scaling impact. Furthermore, leaders noticed that +31% of their staff's time is spent on non-value-added tasks due to poor data quality and availability issues.// BioAnu AroraData architect(~12 years) and have experience in Big data technologies, API development, building scalable data pipelines including DevOps and DataOps, and building GenAI solutions.Anass BensrhirAnass leads QuantumBlack in Africa. He specializes in the Financial sector and helps organizations deliver successful large Data transformation programs.// MLOps Jobs board jobs.mlops.community// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related LinksWebsite: https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients --------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Anu on LinkedIn: https://uk.linkedin.com/in/anu-arora-072012Connect with Anass on LinkedIn: https://www.linkedin.com/in/abensrhir/Timestamps:[00:00] Anass and Anu's preferred coffee[00:35] Takeaways[04:02] Please like, share, leave a review, and subscribe to our MLOps channels![04:09] Huge shout-out to our sponsor QuantumBlack![04:29] Anu's tech background[06:31] Anass' tech background[07:28] The landscape of data[10:37] Dealing with unstructured data [15:51] Data lakes and ETL processes[22:19] Data Engineers' Heavy Workload[29:49] Data privacy and PII in the new LLMs paradigm[36:13] Balancing LLM Adoption Risk[44:06] Effective LMS Implementation Strategy[49:00] Decisions: Create or Wait[50:39] Wrap up

Anass Bensrhir is the Associate Partner of McKinsey & Company, Casablanca. Anu Arora is the Principal Data Engineer at McKinsey & Company.Check out mckinsey.com/quantumblackMLOps podcast #214 with QuantumBlack AI by McKinsey's Principal Data Engineer, Anu Arora and Associate Partner, Anass Bensrhir, Managing Data for Effective GenAI Application, brought to you by our Premium Brand Partner QuantumBlack AI by  @McKinsey. // AbstractGenerative AI is poised to bring impact across all industries and business functions. Across industries, while many companies pilot GenAI, only a few have deployed GenAI use cases, e.g., retailers are producing videos to answer common customer questions using ChatGPT. A majority of organizations are facing challenges to industrialize and scale, with data being one of the biggest inhibitors. Organizations need to strengthen their data foundations, given that among leading organizations, 72% noted managing data among the top challenges preventing them from scaling impact. Furthermore, leaders noticed that +31% of their staff's time is spent on non-value-added tasks due to poor data quality and availability issues.// BioAnu AroraData architect(~12 years) and have experience in Big data technologies, API development, building scalable data pipelines including DevOps and DataOps, and building GenAI solutions.Anass BensrhirAnass leads QuantumBlack in Africa. He specializes in the Financial sector and helps organizations deliver successful large Data transformation programs.// MLOps Jobs board jobs.mlops.community// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related LinksWebsite: https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients --------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Anu on LinkedIn: https://uk.linkedin.com/in/anu-arora-072012Connect with Anass on LinkedIn: https://www.linkedin.com/in/abensrhir/Timestamps:[00:00] Anass and Anu's preferred coffee[00:35] Takeaways[04:02] Please like, share, leave a review, and subscribe to our MLOps channels![04:09] Huge shout-out to our sponsor QuantumBlack![04:29] Anu's tech background[06:31] Anass' tech background[07:28] The landscape of data[10:37] Dealing with unstructured data [15:51] Data lakes and ETL processes[22:19] Data Engineers' Heavy Workload[29:49] Data privacy and PII in the new LLMs paradigm[36:13] Balancing LLM Adoption Risk[44:06] Effective LMS Implementation Strategy[49:00] Decisions: Create or Wait[50:39] Wrap up

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Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215

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Anass Bensrhir is the Associate Partner of McKinsey & Company, Casablanca. Anu Arora is the Principal Data Engineer at McKinsey & Company.Check out mckinsey.com/quantumblackMLOps podcast #214 with QuantumBlack AI by McKinsey's Principal Data...

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