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

Denver Serrao

Denver Serrao

Sr. Software Development Engineer at WP Engine

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

Asaf Somekh

Asaf Somekh

Co-Founder & CEO at Iguazio

Daniel Meehan

Daniel Meehan

CEO & Founder of Padsquad

Yves Bergquist

Yves Bergquist

Program Director, AI & Neuroscience in Media Entertainment Technology Center at USC

Wes Shockley

Wes Shockley

Senior Manager, Audience & Analytics at Meredith Corporation

Aaron Richter

Aaron Richter

Senior Data Scientist at Saturn Cloud

Bob Bress

Bob Bress

Head of Data Science at Freewheel, A Comcast Company

Steve Sobel

Steve Sobel

Global Industry Leader - Communications, Media & Entertainment at Databricks

Daryl Kang

Daryl Kang

Lead Data Scientist at Forbes

Roger Magoulas

Roger Magoulas

Senior Content Advisor at Formulated.by

Alyssa Zeisler

Alyssa Zeisler

Research & Development Chief at The Wall Street Journal

Amy Yu

Amy Yu

VP, Product Strategy and Data Science Viacom

Sophia Tee

Sophia Tee

Senior Manager, Data Science Verizon

ALLY TUBIS

ALLY TUBIS

Senior Director, Customer Modeling at Disney Streaming Services

Dominick Rocco

Dominick Rocco

Data Scientist at PhData

RYAN C. MCCABE

RYAN C. MCCABE

Senior Data Scientist at Spotify

Kim Martin

Kim Martin

Data Science Manager at Netflix

Ilke Demir

Ilke Demir

Senior Research Scientist at Intel Corporation

Puneet Gangrade

Puneet Gangrade

Data Science Team Lead at MightyHive

Bradley Deutsch

Bradley Deutsch

Data Science Director at Known

Nathan Burke

Nathan Burke

Lead Data Science Engineer at Salesforce

Veysel Kocaman

Veysel Kocaman

Senior Data Scientist & ML Engineer at John Snow Labs

Himanshu Swamy

Himanshu Swamy

Manager - Data Science at Publicis Sapient

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!

Workshops

(All times are US Eastern Time)

Tuesday, September 29

2.00 pm  – 3.00 pm Operationalizing ML Models with Verta MLOps

Conrado Miranda, CTO at Verta

Operationalizing ML models and running them safely and reliably at scale is the the biggest bottleneck in making AI and ML initiatives successful. Join this workshop to learn more about:
  • What is MLOps and how does it relate to DevOps and SDLC practices
  • How to take models from training to staging via ModelDB and the Model Registry
  • How to package, configure, and deploy models
  • How to monitor models running in production

Wednesday, September 30

12.00 pm – 1.00 pm Natural language understanding at scale with Spark NLP

Veysel Kocaman – Senior Data Scientist and ML Engineer at John Snow Labs

Natural language processing is a key component in many data science systems that must understand or reason about text. Common use cases include question answering, paraphrasing or summarization, sentiment analysis, natural language BI, language modeling, and disambiguation. Building such systems usually requires combining three types of software libraries: NLP annotation frameworks, machine learning frameworks, and deep learning frameworks.

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.

Sessions

(All times are US Eastern Time)

Watch on Demand

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

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