Applying AI & Machine Learning To Media, Advertising & Entertainment

SEPTEMBER 22-25

Sponsored by

The data science salon is a unique vertical focused conference which grew into a diverse community of senior data science, machine learning and other technical specialists. We gather face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere.

Featured speakers

KEN ROMANO

KEN ROMANO

Product Director at Associated Press

UPASNA GAUTAM

UPASNA GAUTAM

Product Management at CNN

ILYA KATSOV

ILYA KATSOV

Head of Data Science at GridDynamics

ANNE BAUER

ANNE BAUER

Director, Data Science at The New York Times

AMIT BHATTACHARYYA

AMIT BHATTACHARYYA

Head of Data Science at VOX Media

Wes Shockley

Wes Shockley

Senior Manager, Audience & Analytics at Meredith Corporation

Michael Kaushansky

Michael Kaushansky

President of Helia & Chief Data Officer at Havas

Daryl Kang

Daryl Kang

Lead Data Scientist at Forbes

Manny Neto

Manny Neto

VP, Analytics & Data Science at Momentum Worldwide

Alyssa Zeisler

Alyssa Zeisler

R&D Editor at The Wall Street Journal

ALLY TUBIS

ALLY TUBIS

Sr Director of Retention Analytics at Disney Streaming Services

Anu Addanki

Anu Addanki

Director, Data Science & Engineering at Netflix Studio

Dominick Rocco

Dominick Rocco

Machine Learning Engineer at PhData

RYAN C. MCCABE

RYAN C. MCCABE

Senior Data Scientist at Spotify

Kim Martin

Kim Martin

Data Science Manager at Netflix

Bob Bress

Bob Bress

Head of Data Science at Freewheel, A Comcast Company

Puneet Gangrade

Puneet Gangrade

Data Science Team Lead at MightyHive

Himanshu Swamy

Himanshu Swamy

Manager - Data Science at Publicis Sapient

Amy Yu

Amy Yu

VP, Product Strategy and Data Science Viacom

Ilke Demir

Ilke Demir

Senior Research Scientist at Intel Corporation

Nathan Burke

Nathan Burke

Lead Data Science Engineer at Salesforce

Denver Serrao

Denver Serrao

Sr. Software Development Engineer at WP Engine

Sophia Tee

Sophia Tee

Senior Manager, Data Science Verizon

About

Data Science Salon unites the brightest leaders in the media, advertising, and entertainment across the nation in data science fields. We gather face-to-face and virtually to educate each other, illuminate best practices, and innovate new solutions. Data Science Salon | Media, Advertising & Entertainment is the only industry conference that brings together specialists in the media and entertainment data science field to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in media, advertising, entertainment through DSS podcasts, exclusive content, Webinars and live Trainings. DSS also has an extensive on-demand video library of presentations from the top industry experts.

A SAMPLE OF TOPICS COVERED

Enhancing the Viewer Experience with Machine Learning & AI

Content Personalization and Monetization

Personalization at Scale with AI

Cloud Automation and Machine Learning

Audience Targeting and Segmentation (across platforms)

Data and AI for emerging platforms

Data Governance

and More!

Sessions

(All times are US Eastern Time)

Tuesday, September 22 – Media

12:00 pm – 12:25 pm – Introduction & Guided Meditation

12:25 pm – 12:40 pm – 15 minute break

12:40 pm – 1:10 pm – Data science and fact-based journalism during times of crisis
Ken Romano – Product Director at Associated Press

1:15 pm – 1:45 pm – Sound, Search, and Semantics
Upasna Gautam – Product Management at CNN

1:50 pm – 2:10 pm – Talk by Ilya Katsov, Head of Data Science at GridDynamics

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – Experimenting with Recommendations at The New York Times

Anne Bauer – Director of Data Science at The New York Times

3:00 pm – 3:30 pm – Content-Driven Advertising using First Party Data 

Amit Bhattacharyya – Head of Data Science at VOX Media

3:35 pm – 4:05 pm – Talk by Anu Addanki, Director, Data Science & Engineering at Netflix Studio

4:05 pm – 4:15 pm – Wrap up

Wednesday, September 23 – Media & Entertainment

11:30 am – 12:30 pm – Virtual Coffee Chat

12:30 pm – 12:40 pm – Introduction & Housekeeping

12:40 pm – 1:10 pm – Changing Media Habits : Data-Driven Editorial Strategy at Meredith

Wes Shockley – Senior Manager – Audience and Analytics at Meredith Corporation

1:15 pm – 1:45 pm – Media Application of Operations Research and Optimization Methods
Bob Bress – Head of Data Science at Freewheel, A Comcast Company

1:50 pm – 2:10 pm – Accelerating big data solutions for media use cases

Steve Sobel – Global Industry Leader – Communications, Media & Entertainment at Databricks

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – Summarizing News Clusters Through Text Vectorization

Daryl Kang – Lead Data Scientist at Forbes

3:00 pm – 3:45 pm – Panel Discussion: The Crisis In Media. Facts vs. Fiction in the new Always On World
Sophia Tee – Senior Manager, Data Science at Verizon

Alyssa Zeisler – R&D Editor at The Wall Street Journal

Amy Yu – VP, Product Strategy and Data Science at Viacom

3:45 pm – 3:55 pm – Wrap up

5.00 – 5.45 – Cooking Demonstration

Thursday, September 24 – Entertainment

11:30 am – 12:30 pm – Virtual Coffee Chat

12:30 pm – 12:40 pm – Introduction & Housekeeping

12:40 pm – 1:10 pm – Talk by Ally Tubis, Sr Director of Retention Analytics at Disney Streaming Services

1:15 pm – 1:45 pm – Talk TBD

1:50 pm – 2:10 pm – MLOps in Practice: Experiment Tracking & Hyperparameter Tuning

Dominick Rocco – Data Scientist at PhData

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – Automated Content Marketing Messaging
Ryan C. McCabe – Senior Data Scientist at Spotify

3:00 pm – 3:30 pm – Interesting applications of data science for Infrastructure in the streaming world 

Kim Martin – Data Science Manager at Netflix

3:35 pm – 4:05 pm – The Future of Filmmaking: AI for Volumetric Capture
Ilke Demir – Senior Research Scientist at Intel Corporation

4:05 pm – 4:15 pm – Wrap up

Friday, September 25 – Advertising

11:30 am – 12:30 pm – Virtual Coffee Chat

12:30 pm – 12:40 pm – Introduction & Housekeeping

12:40 pm – 1:10 pm – Attribution Management: What’s Old is New Again

Michael Kaushansk, President at Havas Helia & Chief Data Officer at Havas

1:15 pm – 1:45 pm – Optimizing Media Frequency Using Google Ads Data Hub and Differential Privacy

Puneet Gangrade, Data Science Team Lead at MightyHive

1:50 pm – 2:10 pm – Talk TBD

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – Talk by Manny Neto, VP, Analytics & Data Science at Momentum Worldwide

3:00 pm – 3:30 pm – Speeding Audience Segment Discovery with Frequent Pattern Mining
Nathan Burke, Lead Data Science Engineer at Salesforce

3:30 pm – 3:40 pm – Wrap up

Workshops

(All times are US Eastern Time)

Tuesday September 29

12.00 pm – 1.00 pm Managing Serverless Costs with Kubernetes

Denver Serrao – Sr. Software Development Engineer at WP Engine

Serverless has been widely accepted as a mechanism to deploy and run software easily. However, the cost of running production scale workloads on Serverless can be surprisingly high. Wouldn’t it be great if we could get the benefits of running workloads on serverless without the hassle of worrying about costs ?

Enter Knative, an open standard allowing you to run serverless workloads on your own Kubernetes clusters. In this talk, we will walk through a real world example of how we used Google CloudFunctions (FaaS) at WP Engine to deploy a serverless data pipeline, and then transitioned that workload to using Cloud Run (built upon Knative) and Kubernetes to achieve the same results at a greatly reduced cost. We will dive deep into how we achieved the cost savings, handle fault tolerance, concurrency and auto-scaling

Now our developers can focus on code instead of the plumbing of managing infrastructure, while delivering customer and business value quickly and easily.

Wednesday September 30

12.00 pm – 1.00 pm Spark NLP for Data Scientists

Presented by John Snow Labs

Thursday October 1

12.00 pm – 2.00 pm Optimize content at scale using State-of-Art NLP techniques in cloud environment

Himanshu Swamy – Manager Data Science at Publicis Sapient

NLP, also known as computational linguistics, is the combination of AI and linguistics that allows us to talk to machines as if they were human. This session is about an important concept used in the current state of the art applications in Speech Recognition and Natural Language Processing – viz Sequence to Sequence modelling. This will convert an input sequence into an output sequence. Just to give you a sneak peek of the potential application of seq2seq model can be speech recognition, machine translation, question answering, Neural Machine Translation (NMT), and image caption generation. This workshop will showcase on how to build a language model that we’ll focus on using recurrent neural network which captures the entire context of the input sequence. Seq2seq models typically employ two Recurring Neural Networks (RNNs). The model is trained to map an input sequence to an output sequence which are not necessarily of the same length as each other. The basic structure of the model is a network of encoders and decoder, bidirectional self-attention layer. I will showcase thorough implementation of a content optimization system using NLP techniques along with scalable deployment of model within Cloud.

Register

For any queries regarding Registration or Tickets, please contact us via info@formulated.by