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PODCAST

MLOps.community

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

technology

All Episodes

00:35:38

A BLUEPRINT FOR SCALABLE & RELIABLE ENTERPRISE AI/ML...

MLOps.community ·

2024/07/26

// AbstractEnterprise AI leaders continue to explore the best productivity solutions that solve business problems, mitigate risks, and increase efficiency. Building reliable and secure AI/ML systems requires following industry standards, an operating framework, and best practices that can accelerate and streamline the scalable architecture that can produce expected business outcomes. This session, featuring veteran practitioners, focuses on building scalable, reliable, and quality AI and ML systems

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00:49:28

AI Operations Without Fundamental Engineering...

MLOps.community ·

2024/07/23

Nik Suresh wrote an evisceration of the current AI hype boom called "I Will F**king Piledrive You If You Mention AI Again."AI Operations Without Fundamental Engineering Discipline // MLOps Podcast #250 with Nikhil Suresh, Director @ Hermit Tech. // Abstract Nik is on the podcast because of an anti-AI hype piece, so a reasonable thing to discuss is going to be what most companies are getting wrong when non-technical management wants to immediately roll out ML initiatives, but are

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00:51:05

AI in Healthcare // Eric Landry // #249

MLOps.community ·

2024/07/19

Eric Landry is a seasoned AI and Machine Learning leader with extensive expertise in software engineering and practical applications in NLP, document classification, and conversational AI. With technical proficiency in Java, Python, and key ML tools, he leads the Expedia Machine Learning Engineering Guild and has spoken at major conferences like Applied Intelligence 2023 and KDD 2020.AI in Healthcare // MLOps Podcast #249 with Eric Landry, CTO/CAIO @ Zeteo Health. // Abstract Eric Landry

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00:35:40

Evaluating the Effectiveness of Large Language...

MLOps.community ·

2024/07/16

Aniket Kumar Singh is a Vision Systems Engineer at Ultium Cells, skilled in Machine Learning and Deep Learning. I'm also engaged in AI research, focusing on Large Language Models (LLMs).Evaluating the Effectiveness of Large Language Models: Challenges and Insights // MLOps Podcast #248 with Aniket Kumar Singh, CTO @ MyEvaluationPal | ML Engineer @ Ultium Cells. // Abstract Dive into the world of Large Language Models (LLMs) like GPT-4. Why is it crucial to evaluate these models, how we

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01:01:36

Extending AI: From Industry to Innovation // Sophia...

MLOps.community ·

2024/07/12

Sophia Rowland is a Senior Product Manager focusing on ModelOps and MLOps at SAS. In her previous role as a data scientist, Sophia worked with dozens of organizations to solve a variety of problems using analytics.David Weik has a passion for data and creating integrated customer-centric solutions. Thinking data and people first to create value-added solutions. Extending AI: From Industry to Innovation // MLOps Podcast #246 with Sophia Rowland, Senior Product Manager and David Weik, Senior

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00:51:27

AI For Good - Detecting Harmful Content at Scale //...

MLOps.community ·

2024/07/09

Matar Haller is the VP of Data & AI at ActiveFence, where her teams own the end-to-end automated detection of harmful content at scale, regardless of the abuse area or media type. The work they do here is engaging, impactful, and tough, and Matar is grateful for the people she gets to do it with.AI For Good - Detecting Harmful Content at Scale // MLOps Podcast #245 with Matar Haller, VP of Data & AI at ActiveFence. // Abstract One of the biggest challenges facing online platforms today is

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00:52:54

All Data Scientists Should Learn Software Engineering...

MLOps.community ·

2024/07/05

Catherine Nelson is a freelance data scientist and writer. She is currently working on the forthcoming O’Reilly book "Software Engineering for Data Scientists”.Why All Data Scientists Should Learn Software Engineering Principles // MLOps podcast #245 with Catherine Nelson, a freelance Data Scientist. A big thank you to LatticeFlow AI for sponsoring this episode! LatticeFlow AI - https://latticeflow.ai/ // Abstract Data scientists have a reputation for writing bad code. This quote from

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00:38:53

Meta GenAI Infra Blog Review // Special MLOps Podcast

MLOps.community ·

2024/07/03

Meta GenAI Infra Blog Review // Special MLOps Podcast episode by Demetrios.// Abstract Demetrios explores Meta's innovative infrastructure for large-scale AI operations, highlighting three blog posts on training large language models, maintaining AI capacity, and building Meta's GenAI infrastructure. The discussion reveals Meta's handling of hundreds of trillions of AI model executions daily, focusing on scalability, cost efficiency, and robust networking. Key elements include the Ops

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00:57:26

AI Agents for Consumers // Shaun Wei // #244

MLOps.community ·

2024/06/28

Sean Wei, the CEO and co-founder of RealChar, shares his journey from working in the autonomous vehicle industry to creating an open-source voice assistant project called Realchar, which eventually evolved into Rivia, a voice AI assistant focused on managing personal phone calls.The Future of AI and Consumer Empowerment // MLOps podcast #244 with Shaun Wei, CEO & Co-Founder of RealChar. A big thank you to LatticeFlow for sponsoring this episode! LatticeFlow - https://latticeflow.ai/ //

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00:56:30

ML and AI as Distinct Control Systems in Heavy...

MLOps.community ·

2024/06/25

Join us at our first in-person conference today all about AI Quality: https://www.aiqualityconference.com/ML and AI as Distinct Control Systems in Heavy Industrial Settings // MLOps podcast #243 with Richard Howes, CTO of Metaformed. Richard Howes is a dedicated engineer who is passionate about control systems whether it be embedded systems, industrial automation, or AI/ML in a business application. Huge thank you to AWS for sponsoring this episode. AWS - https://aws.amazon.com/ //

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00:54:57

Accelerating Multimodal AI // Ethan Rosenthal // #242

MLOps.community ·

2024/06/21

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Accelerating Multimodal AI // MLOps podcast #241 with Ethan Rosenthal, Member of Technical Staff of Runway. Huge thank you to AWS for sponsoring this episode. AWS - https://aws.amazon.com/ // Abstract We’re still trying to figure out systems and processes for training and serving “regular” machine learning models, and now we have multimodal AI to contend with! These new systems present

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00:57:21

Navigating the AI Frontier: The Power of Synthetic...

MLOps.community ·

2024/06/18

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // MLOps podcast #241 with Boris Selitser, Co-Founder and CTO/CPO of Okareo. A big thank you to LatticeFlow for sponsoring this episode! LatticeFlow - https://latticeflow.ai/ // Abstract Explore the evolving landscape of building LLM applications, focusing on the critical roles of synthetic

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00:56:37

How to Build Production-Ready AI Models for...

MLOps.community ·

2024/06/14

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/MLOps Coffee Sessions Special episode with LatticeFlow, How to Build Production-Ready AI Models for Manufacturing, fueled by our Premium Brand Partner, LatticeFlow. Deploying AI models in manufacturing involves navigating several technical challenges such as costly data acquisition, class imbalances, data shifts, leakage, and model degradation over time. How can you uncover the causes

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00:58:21

From Robotics to Recommender Systems // Miguel Fierro...

MLOps.community ·

2024/06/11

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Miguel Fierro is a Principal Data Science Manager at Microsoft and holds a PhD in robotics. From Robotics to Recommender Systems // MLOps Podcast #240 with Miguel Fierro, Principal Data Science Manager at Microsoft. Huge thank you to Zilliz for sponsoring this episode. Zilliz - https://zilliz.com/. // Abstract Miguel explains the limitations and considerations of applying ML in

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00:35:35

Uber's Michelangelo: Strategic AI Overhaul and Impact...

MLOps.community ·

2024/06/07

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast #239 with Demetrios Brinkmann. Huge thank you to Weights & Biases for sponsoring this episode. WandB Free Courses - http://wandb.me/courses_mlops // Abstract Uber's Michelangelo platform has evolved significantly through three major phases, enhancing its capabilities from basic ML predictions to

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00:45:22

AWS Tranium and Inferentia // Kamran Khan and Matthew...

MLOps.community ·

2024/06/04

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Matthew McClean is a Machine Learning Technology Leader with the leading Amazon Web Services (AWS) cloud platform. He leads the customer engineering teams at Annapurna ML helping customers adopt AWS Trainium and Inferentia for their Gen AI workloads. Kamran Khan, Sr Technical Business Development Manager for AWS Inferentina/Trianium at AWS. He has over a decade of experience helping

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00:46:57

Build Reliable Systems with Chaos Engineering //...

MLOps.community ·

2024/05/31

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/.Benjamin Wilms is a developer and software architect at heart, with 20 years of experience. He fell in love with chaos engineering. Benjamin now spreads his enthusiasm and new knowledge as a speaker and author – especially in the field of chaos and resilience engineering. Retrieval Augmented Generation // MLOps podcast #237 with Benjamin Wilms, CEO & Co-Founder of Steadybit. Huge

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01:04:40

Managing Small Knowledge Graphs for Multi-agent...

MLOps.community ·

2024/05/28

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Tom Smoker is the cofounder of an early stage tech company empowering developers to create knowledge graphs within their RAG pipelines. Tom is a technical founder, and owns the research and development of knowledge graphs tooling for the company. Managing Small Knowledge Graphs for Multi-agent Systems // MLOps podcast #236 with Tom Smoker, Technical Founder of whyhow.ai. A big thank you

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01:01:38

Just when we Started to Solve Software Docs, AI Blew...

MLOps.community ·

2024/05/27

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ David Nunez, based in Santa Barbara, CA, US, is currently a Co-Founder and Partner at Abstract Group, bringing experience from previous roles at First Round Capital, Stripe, and Slab. Just when we Started to Solve Software Docs, AI Blew Everything Up // MLOps Podcast #235 with Dave Nunez, Partner of Abstract Group co-hosted by Jakub Czakon. Huge thank you to Zilliz for sponsoring this

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00:46:19

Open Standards Make MLOps Easier and Silos Harder //...

MLOps.community ·

2024/05/21

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Cody Peterson has a diverse work experience in the field of product management and engineering. Cody is currently working as a Technical Product Manager at Voltron Data, starting from May 2023. Previously, they worked as a Product Manager at dbt Labs from July 2022 to March 2023. MLOps podcast #234 with Cody Peterson, Senior Technical Product Manager at Voltron Data | Ibis project //

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