What we're about

This is the official group for the Data Science Salon Community in LA: https://datascience.salon/la/

Designed for senior data science partitioners in the media and entertainment field of practice ONLY.

Look for Machine Learning and AI use cases from the top practitioners in media and entertainment fields in Southern California. DSS

Access on demand DSS content on Insider: https://insider.datascience.salon/

Upcoming events (4+)

What Can You Expect for ML in 2022

Online event

Learn more and register here: https://info.datascience.salon/what-can-you-expect-for-ml-in-2022

As 2021 comes to a close, the challenges of productionizing and scaling team’s machine learning projects still remain at large. With all the big advancements in AI/ML, what are some actionable learnings for your team?

In this webinar join us as we talk about:

- Noteworthy highlights in the AI/ML space from 2021
- Upcoming trends in ML/AI for 2022
- Market movement (AIIA member valuations, acquisition and consolidation)
- The shift to ‘Data Monitoring’ from ‘Model monitoring’ OR the evolution of ‘DataOps’ - reference Andrew Ng
- Bedfellows for 2022: How hardware will meet ISV e.g. Nvidia/HPE and the AIIA ecosystem.
- Winners & Losers - Best of breed vs Production ML on ‘so-called’ E2E solutions. The new data providers and the role of analytics.

Learn more and register here: https://info.datascience.salon/what-can-you-expect-for-ml-in-2022

[Webinar] The Story of CapitaLogix with Kuberre and Dask

Online event

Learn more and register here: https://us06web.zoom.us/webinar/register/4316336246216/WN_XHk74YHDQuGrLxXCLXTGrg

The quantitative hedge fund manager, CapitaLogix, was heavily dependent upon their legacy “on-premise” hardware/software stack vendor in order to run their proprietary pattern mining algorithms. Join us for a compelling look into the real costs, limitations, and learning that convinced CEO Howard Getson and his team to embrace Dask and make the move to the cloud. Hear from Kumar Metlapalli (Kuberre Systems CEO) as he lays out how he, and his team of quant technology experts at Kuberre, were able to deliver the massively parallel, 100% Python, environment the CapitaLogix team requires while driving out 97% of the legacy costs. This story demonstrates the power and value that can be realized by combining cloud computing platforms with Dask and Kuberre’s QTPy (Quantitative Techniques in Python) data science optimization solution.

Learn more and register here: https://us06web.zoom.us/webinar/register/4316336246216/WN_XHk74YHDQuGrLxXCLXTGrg

[Webinar] Agile Data Labeling

Online event

Learn more and register here: https://signup.watchful.io/hand-labeling-is-harmful-webinar-0

Data and AI have never been more essential to businesses of all sizes, across every industry around the world. To become truly data-driven, organizations need to provide decision-makers with labeled data that’s relevant to their analyses. In order to deliver impactful ML applications, organizations need to be able to efficiently create training data.

The growing frustration among data scientists is driving the need for the Agile Manifesto of Data Labeling.

A successful Agile Manifesto of Data Labeling should begin with the same principle of reactivity. Successful preparation of training data involves cooperation, feedback, and discipline.

Speakers:

Shayan Mohanty is the CEO and Co-Founder of Watchful, a company that largely automates the process of creating labeled training data. He has a decade leading data engineering teams at various companies including Facebook, where he served as lead for the stream processing team responsible for processing 100% of the ads metrics data for all FB products. He is also a Guest Scientist at Los Alamos National Laboratory and has given talks on topics ranging from Automata Theory to Machine Teaching.

Jennifer Prendki is the CEO of Alectio, a disruptive B2B AI company pioneering the concept of DataPrepOps. Previously, she was the VP of Machine Learning at Figure Eight–the company that pioneered data labeling–the Chief Data Scientist at Atlassian and a Senior Manager of Data Science in the Search Team at Walmart. She has spent most of her career building and scaling high performing machine learning teams and developing data-driven cultures. She was trained as a scientist with a PhD in Particle Physics from Sorbonne University.

All attendees will:

- Gain a basic understanding of the principles of agile data labeling
Learn about how agile data labeling can be applied to your machine learning pipelines
- Explore and discover two new platforms that help you and your enterprise transform the way you label data

Learn more and register here: https://signup.watchful.io/hand-labeling-is-harmful-webinar-0

DSS Miami: AI & ML in the Enterprise (Virtual and In-person Pop-Up Event)

In-person | February 17h (Venue TBA)
Virtual | February 16th

Learn More and Register Here: https://www.datascience.salon/miami/

Join DSS for our first hybrid event of 2022! We’ll gather for a pop-up event on February 17th in Miami and even more data science talks and panels will be available for virtual viewing on February 16h.

Numbers: 1 pop-up event in-person, 15+ sessions online, 2 weeks on demand

Choose between the exclusive in-person DSS pop-up experiences in Miami and the laid-back virtual edition including even more data science content.

BENEFITS OF JOINING IN PERSON

- Improve your data skills in engaging live presentations and panel discussions
- Meet and connect with leading data scientists in a casual and personal atmosphere
- Learn how to apply state-of-the art AI and machine learning techniques in the enterprise
- Ask expert speakers questions in live q&a sessions
- Access 15+ talks online until two weeks after the event

BENEFITS OF JOINING VIRTUALLY

- Improve your data skills in 15+ engaging virtual presentations and fireside chats
- E-meet and connect with leading data scientists through intelligent networking apps
- Learn how to apply state-of-the art AI and machine learning techniques in the enterprise
- Ask expert speakers questions in live q&a sessions
- Access all sessions on-demand until two weeks after the event

Learn More and Register Here: https://www.datascience.salon/miami/

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