MLOps community meetup #46! Last Wednesday, we talked to Hendrik Brackmann, Director of Data Science and Analytics at Tide. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract: Tide is a U.K.-based FinTech startup with offices in ...
Jan 08, 2021•58 min•Season 1Ep. 46
Coffee Sessions #24 with Sara Robinson of Google, Machine Learning Design Patterns, co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter //Bio Sara is a Developer Advocate for Google Cloud, focusing on machine learn...
Dec 29, 2020•1 hr•Season 1Ep. 24
Coffee Sessions #23 with Todd Underwood of Google, Follow-ups from OPML Talks on ML Pipeline Reliability co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter //Bio Todd is a Director at Google and leads Machine Learning...
Dec 22, 2020•1 hr 12 min•Season 1Ep. 23
MLOps community meetup #45! Last Wednesday, we talked to Joe Reis, CEO/Co-Founder of Ternary Data. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract: The fact is that most companies are barely doing BI, let alone AI. Joe discussed w...
Dec 20, 2020•54 min•Season 1Ep. 45
Coffee Sessions #22 with Carl Steinbach of LinkedIn, Deep in the Heart of Data. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter //Bio Carl is a Senior Staff Software Engineer and currently the Tech Lead for LinkedIn's Grid Development Team. He is...
Dec 18, 2020•56 min•Season 1Ep. 22
ML and Encryption - It's all about secure insights #7! In this episode, we've invited Théo Ryffel, Founder of Arkhn and founding member of the Open-Mined community. // Abstract: In this episode, Théo introduces us to the concept of encrypted Machine Learning, when and the best practices to have it applied in the development of Machine Learning based solutions, and the challenges of building a community. //Other links to check on Théo: https://twitter.com/theoryffel https://arkhn.com https://open...
Dec 17, 2020•36 min•Season 1Ep. 7
**Privacy-preserving ML with Differential Privacy** Differential privacy is without a question one of the most innovative concepts that came around in the last decades, with a variety of different applications even when it comes to Machine Learning. Many are organizations already leveraging this technology to access and make sense of their most sensitive data, but what is it? How does it work? And how can we leverage it the most? To explain this and provide us a brief intro on Differential Priva...
Dec 14, 2020•36 min•Season 1Ep. 6
MLOps community meetup #44! Last Wednesday, we talked to Savin Goyal, Tech Lead for the ML Infra team at Netflix. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract: In this conversation, Savin talked about some of the challenges encountered...
Dec 14, 2020•56 min•Season 1Ep. 44
Coffee Sessions #21 with Benjamin Rogojan of Seattle Data Guy, A Conversation with Seattle Data Guy Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter //Bio Ben has spent his career focused on all forms of data. He has focused on developing algorithms to de...
Dec 08, 2020•47 min•Season 1Ep. 21
Coffee Sessions #20 with Neal Lathia of Monzo Bank, talking about Monzo Bank - An MLOps Case Study Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter //Bio Neal is currently the Machine Learning Lead at Monzo in London, where his team focuses on building machin...
Dec 07, 2020•1 hr 4 min•Season 1Ep. 20
** 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 and data privacy protection? Can organizations leverage DataOps to ensure that their data is privacy complia...
Dec 03, 2020•33 min•Season 1Ep. 5
**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 leveraged by organizations? Useful links: https://medium.com/@francis_49362/differential-privacy-not-a-c...
Nov 26, 2020•23 min•Season 1Ep. 4
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: https://go.mlops.community/YTNewsletter // Bio Barr Moses is CEO & Co-Founder of M...
Nov 24, 2020•1 hr 1 min•Season 1Ep. 19
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: https://go.mlops.community/YTNewsletter // Abstract: In this session...
Nov 23, 2020•59 min•Season 1Ep. 43
**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 these questions may sound absurd, but they are for sure making people shift from thinking purely about ...
Nov 19, 2020•52 min•Season 1Ep. 3
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: https://go.mlops.community/YTNewsletter // Abstract: Building a global big data platform f...
Nov 16, 2020•59 min•Season 1Ep. 43
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 days counted? Or Will Machine beat privacy? To answer all these questions I’ve invited Cat Coode, a...
Nov 12, 2020•36 min•Season 1Ep. 2
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: https://go.mlops.community/YTNewsletter // Key takeaways: If you have a data product that you wa...
Nov 10, 2020•1 hr 1 min•Season 1Ep. 42
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/YTJoinIn Get the newsletter: ...
Nov 10, 2020•1 hr•Season 1Ep. 41
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 and ML in production MLOps workflow: Knowledge sharing and best practices Objective: learn! Links: ML...
Nov 09, 2020•47 min•Season 1Ep. 18
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 and Data Science has its days counted? Will the Machines beat privacy? Don’t forget to subscribe to the ml...
Nov 05, 2020•19 min•Season 1Ep. 1
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 automated CI/CD system. This automated CI/CD system lets your data scientists rapidly explore new ideas aro...
Nov 03, 2020•1 hr 1 min•Season 1Ep. 17
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.mlops.community/YTNewsletter // Abstract: We looked at some popular model formats like the SavedMod...
Oct 30, 2020•58 min•Season 1Ep. 40
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.community/YTNewsletter // Abstract: Analytics are Open. According to their nature, Open Source techn...
Oct 27, 2020•57 min•Season 1Ep. 38
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 hard program analysis problems using Machine Learning. That is when he got curious and started learnin...
Oct 26, 2020•57 min•Season 1Ep. 16
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 production-scale ML deployments. ----------- Connect With Us ✌️------------- Join our Slack community: ht...
Oct 20, 2020•1 hr 2 min•Season 1Ep. 15
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, historically, Python hasn't handled parallel computing well, which leads to issues as researchers try ...
Oct 19, 2020•57 min•Season 1Ep. 37
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 huge amount of open-source and proprietary MLOps tools available on the market today. We discussed sev...
Oct 18, 2020•1 hr 1 min•Season 1Ep. 13
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 parallel (at the same time) Distributed work across multiple machines and then combined the results H...
Oct 12, 2020•57 min•Season 1Ep. 14
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 fit in the ML and Data ecosystem? What is the vision? Who should consider using it? Learnings as the e...
Oct 10, 2020•1 hr 5 min•Season 1Ep. 12
