Sep 23–26, 2019
 
1A 15/16
Add Hands-on data science with Python to your personal schedule
9:00am Hands-on data science with Python Michael Cullan (The Data Incubator)
1A 01/02
Add SOLD OUT: Big data for managers to your personal schedule
9:00am SOLD OUT: Big data for managers Michael Li (The Data Incubator), Gonzalo Diaz (The Data Incubator)
1A 03
Add Recommendation systems using deep learning to your personal schedule
9:00am Recommendation systems using deep learning Bargava Subramanian (Binaize Labs), Amit Kapoor (narrativeVIZ)
1A 04/05
1E 06
Add Professional Kafka development to your personal schedule
9:00am Professional Kafka development Jesse Anderson (Big Data Institute)
1A 17
Add SOLD OUT: Building a serverless big data application on AWS to your personal schedule
9:00am SOLD OUT: Building a serverless big data application on AWS Jorge Lopez (Amazon Web Services), Radhika Ravirala (Amazon Web Services), Nikki Rouda (Amazon Web Services), Jesse Gebhardt (Amazon Web Services), Rajeev Chakrabarti (Amazon Web Services)
1A 18
1E 07
Add Machine learning from scratch in TensorFlow to your personal schedule
9:00am Machine learning from scratch in TensorFlow Dylan Bargteil (The Data Incubator)
12:30pm Lunch | Room: Lunch
10:30am Morning break | Room: Break
3:00pm Afternoon break | Room: Break
Add Strata Dine-Around to your personal schedule
7:00pm Strata Dine-Around | Room: Various locations
9:00am-5:00pm (8h) Data Science, Machine Learning, & AI Deep dive into specific tools, platforms, or frameworks
Hands-on data science with Python
Michael Cullan (The Data Incubator)
Michael Cullan walks you through developing a machine learning pipeline from prototyping to production. You'll learn about data cleaning, feature engineering, model building and evaluation, and deployment and then extend these models into two applications from real-world datasets. All work will be done in Python.
9:00am-5:00pm (8h) Strata Business Summit
SOLD OUT: Big data for managers
Michael Li (The Data Incubator), Gonzalo Diaz (The Data Incubator)
Michael Li and Gonzalo Diaz provide a nontechnical overview of AI and data science. Learn common techniques, how to apply them in your organization, and common pitfalls to avoid. You’ll pick up the language and develop a framework to be able to effectively engage with technical experts and use their input and analysis for your business’s strategic priorities and decision making.
9:00am-5:00pm (8h) Data Science, Machine Learning, & AI Deep Learning, Media and Advertising, Retail and e-commerce
Recommendation systems using deep learning
Bargava Subramanian (Binaize Labs), Amit Kapoor (narrativeVIZ)
Recommendation systems play a significant role—for users, a new world of options; for companies, it drives engagement and satisfaction. Amit Kapoor and Bargava Subramanian walk you through the different paradigms of recommendation systems and introduce you to deep learning-based approaches. You'll gain the practical hands-on knowledge to build, select, deploy, and maintain a recommendation system.
9:00am-5:00pm (8h) Sponsored
Serverless machine learning with TensorFlow and BigQuery (sponsored by Google Cloud)
Jeff Davis (Google Cloud)
Jeff Davis provides a hands-on introduction to designing and building machine learning models on structured data on Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you'll learn machine learning (ML) concepts and how to implement them using both BigQuery Machine Learning and TensorFlow and Keras.
9:00am-5:00pm (8h) Data Engineering and Architecture Data Integration and Data Processing, Deep dive into specific tools, platforms, or frameworks
Professional Kafka development
Jesse Anderson (Big Data Institute)
Jesse Anderson offers you an in-depth look at Apache Kafka. You'll learn how Kafka works and how to create real-time systems with it, as well as how to create consumers and publishers. You'll take a look Jesse then walks you through Kafka’s ecosystem, demonstrating how to use tools like Kafka Streams, Kafka Connect, and KSQL.
9:00am-5:00pm (8h) Data Engineering and Architecture Cloud Platforms and SaaS, Data Integration and Data Processing, Data, Analytics, and AI Architecture, Deep dive into specific tools, platforms, or frameworks
SOLD OUT: Building a serverless big data application on AWS
Jorge Lopez (Amazon Web Services), Radhika Ravirala (Amazon Web Services), Nikki Rouda (Amazon Web Services), Jesse Gebhardt (Amazon Web Services), Rajeev Chakrabarti (Amazon Web Services)
Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. Join the AWS team to learn how to incorporate serverless concepts into your big data architectures. You'll explore design patterns to ingest, store, and analyze your data as you build a big data application using AWS technologies such as S3, Athena, Kinesis, and more.
9:00am-5:00pm (8h) Data Science, Machine Learning, & AI
Expand your data science and machine learning skills with Python, R, SQL, Spark, and TensorFlow
Ian Cook (Cloudera)
Advancing your career in data science requires learning new languages and frameworks—but you face an overwhelming array of choices, each with different syntaxes, conventions, and terminology. Ian Cook simplifies the learning process by outlining the abstractions common to these systems. You'll go hands-on exercises to overcome obstacles to getting started using new tools.
9:00am-5:00pm (8h) Data Science, Machine Learning, & AI Deep dive into specific tools, platforms, or frameworks, Deep Learning
Machine learning from scratch in TensorFlow
Dylan Bargteil (The Data Incubator)
The TensorFlow library provides for the use of computational graphs with automatic parallelization across resources. This architecture is ideal for implementing neural networks. Dylan Bargteil explores TensorFlow's capabilities in Python, demonstrating how to build machine learning algorithms piece by piece and how to use TensorFlow's Keras API with several hands-on applications.
12:30pm-1:30pm (1h)
Break: Lunch
10:30am-11:00am (30m)
Break: Morning break
3:00pm-3:30pm (30m)
Break: Afternoon break
7:00pm-9:00pm (2h)
Strata Dine-Around
Get to know your fellow attendees over dinner. We've made reservations for you at some of the most sought-after restaurants in town. This is a great chance to make new connections and sample some of the great cuisine New York has to offer.

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