Demetrios
MLOps.community
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
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Episodes
When Machine Learning meets privacy - Episode 5 03.12.2020 33:24
** The intersection between DataOps and privacy** DataOps is considered by many as the new era of data management, a set of principles that emphasizes communication, collaboration, integration, and automation of cooperation between the different teams in an organization that have to deal with data: data engineers, data scientists to data analysts. But is there any relation between DataOps an...
When Machine Learning meets privacy - Episode 4 26.11.2020 22:57
**Are Privacy Enhancing Technologies a myth** Data Privacy and machine learning are here to stay, and there’s no doubt they’re the hot trends to be following. But do they need to clash with each other? Can we have these titans to co-exist? It seems like finally 2020 and 2021 will be the years where Privacy Enhancing Technologies. But after all what are they? How are these techs being used and leve...
Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19 24.11.2020 1:01:06
Coffee Sessions #19 with Barr Moses of Monte Carlo, Introducing Data Downtime: How to Prevent Broken Data Pipelines with Observability, co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: ...
The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43 23.11.2020 58:39
MLOps community meetup #43! Last Wednesday, we talked to Nathan Benaich, General Partner at Air Street Capital, and Timothy Chen, Managing Partner at Essence VC, about The MLOps Landscape. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: ...
When Machine Learning meets privacy - Episode 3 with Charles Radclyffe 19.11.2020 51:44
**AI and ethical dilemmas** Artificial Intelligence is seen by many as a vehicle for great transformation, but for others, it still remains a mystery, and many questions remain unanswered: will AI systems rule us one day? Can we trust AI to rule our criminal systems? Maybe create political campaigns and dominate political advertisements? Or maybe something less harmful, do our laundry? Some of the...
UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42 16.11.2020 58:53
MLOps community meetup #42! Last Wednesday, we talked to Mark Craddock, Co-Founder & CTO, Global Certification and Training Ltd (GCATI), about the UN Global Platform. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: ...
When Machine Learning meets Data Privacy - Episode 2 with Cat Coode 12.11.2020 35:37
What are regulations saying about data privacy? We are already aware of the importance of using Machine Learning to improve businesses, nevertheless to feed Machine Learning, data is a must, and in many cases, this data might even be considered sensitive information. So, does this mean that with new privacy regulations, access to data will be more and more difficult? ML and Data Science have their...
When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot 10.11.2020 1:00:54
In this episode, we talked to Elizabeth Chabot, Consultant at Deloitte, about When You Say Data Scientist, Do You Mean Data Engineer? Lessons Learned From StartUp Life. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: ...
Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41 10.11.2020 1:00:29
MLOps community meetup #41! Last Wednesday was an exciting episode that some attendees couldn't help to ask when the next season of their favorite series! The conversation was around Metaflow: Supercharging Data Scientist Productivity with none other than Netflix’s very own Ravi Kiran Chirravuri. Join the Community: https://go.mlops.community...
Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production 09.11.2020 47:22
Coffee Sessions #18 with Luigi Patruno of ML in Production, a Centralized Repository of Best Practices Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Summary Luigi Patruno...
When Machine Learning meets Data Privacy 05.11.2020 18:42
This is the first episode of a podcast series on Machine Learning and Data privacy. Machine Learning is the key to the new revolution in many industries. Nevertheless, ML does not exist without data and a lot of it, which in many cases results in the use of sensitive information. With new privacy regulations, access to data is today harder and much more difficult but, does that mean that ML...
Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17 03.11.2020 1:01:06
MLOps level 2: CI/CD pipeline automation Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter For a rapid and reliable update of the pipelines in production, you need a robust automat...
Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40 30.10.2020 57:45
MLOps community meetup #40! Last Wednesday, we talked to Theofilos Papapanagiotou, Data Science Architect at Prosus, about Hands-on Serving Models Using KFserving. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.ml...
Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39 27.10.2020 56:59
MLOps community meetup #39! Last week, we talked to Ivan Nardini, Customer Engineer at SAS, about Operationalize Open Source Models with SAS Open Model Manager. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops....
Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16 26.10.2020 57:17
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter //Bio Satish built compilers, profilers, IDEs, and other dev tools for over a decade. At Microsoft Research, he saw his colleagues solving ha...
MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15 20.10.2020 1:02:05
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter James Sutton is an ML Engineer focused on helping enterprises bridge the gap between what they have now and where they need to be to enable produ...
Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38 19.10.2020 57:10
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Parallel Computing with Dask and Coiled Python makes data science and machine learning accessible to millions of people around the world. However, hi...
MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova 18.10.2020 1:00:54
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter This time, we talked about one of the most vibrant questions for any MLOps practitioner: how to choose the right tools for your ML team, given the hu...
MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin 12.10.2020 56:42
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Dask What is it? Parallelism for analytics What is parallelism? Doing a lot at once by splitting tasks into smaller subtasks, which can be processed in p...
MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare 10.10.2020 1:05:05
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Why was Flyte built at Lyft? What sorts of requirements does an ML infrastructure team have at Lyft? What problems does it solve/use cases? Where does it fi...
MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3 04.10.2020 1:06:27
Round 3: Analyzing the Google paper "Continuous Delivery and Automation Pipelines in ML" Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Show Notes Data Science Steps for ML Data extraction: You...
MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI 04.10.2020 56:05
MLOps community meetup #36! This week, we talk to David Hershey, Solutions Engineer at Determined AI, about Moving Deep Learning from Research to Production with Determined and Kubeflow. // Key takeaways: What components are needed to do inference in ML How to structure models for ML inference How a model registry helps organize your models for easy consumption How you can set up reusable and eas...
MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2 22.09.2020 1:07:59
Second installation, David and Demetrios are reviewing the Google paper about Continuous training and automated pipelines. They dive deep into machine learning monitoring and also what exactly continuous training actually entails. Some key highlights are: Automatically retraining and serving the models: When to do it? Outlier detection Drift detection Outlier detection: What is it? How you deal wi...
MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent 17.09.2020 52:48
MLOps Meetup #34! This week, we talk to Kai Waehner about the beast that is Apache Kafka and how many different ways you can use it! Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Key takeaways: -Kafka is mu...
MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure 14.09.2020 56:24
Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter While machine learning is spreading like wildfire, very little attention has been paid to the ways that it can go wrong when moving from development to production. Eve...
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