Sep 23–26, 2019

Schedule: Sponsored sessions

Add to your personal schedule
9:00am - 5:00pm Monday, September 23 & Tuesday, September 24
Location: 1A 04/05
Jeff Davis (Google Cloud)
This course 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 will learn machine learning (ML) concepts and how to implement them using both BigQuery Machine Learning and TensorFlow/Keras. Read more.
Add to your personal schedule
9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 07
Matt Kirk (YourChiefScientist.com)
Note: This free workshop, courtesy of IBM, is open to the first 50 registrants. You'll take a fascinating deep dive into the power and applications of machine learning in the enterprise. Read more.
Add to your personal schedule
9:25am9:35am Wednesday, September 25, 2019
Location: 3E
James Malone (Google)
Open source has always been a core pillar of Google Cloud’s data and analytics strategy. James Malone examines how, as the community continues to set industry standards, the company continues to integrate those standards into its services so organizations around the world can unlock the value of data faster. Read more.
Add to your personal schedule
10:00am10:05am Wednesday, September 25, 2019
Location: 3E
Data analytics is the long-standing but constantly evolving science that companies leverage for insight, innovation, and competitive advantage. Ziya Ma explores Intel’s end-to-end data pipeline software strategy designed and optimized for a modern and flexible data-centric infrastructure that allows for the easy deployment of unified advanced analytics and AI solutions at scale. Read more.
Add to your personal schedule
10:20am10:25am Wednesday, September 25, 2019
Location: 3E
Nikita Shamgunov (MemSQL)
Data is now the world’s most valuable resource, with winners and losers decided every day by how well we collect, analyze, and act on data. However, most companies struggle to unlock the full value of their data, using outdated, outmoded data infrastructure. Nikita Shamgunov examines how businesses use data, the new demands on data infrastructure, and what you should expect from your tools. Read more.
Add to your personal schedule
10:25am10:30am Wednesday, September 25, 2019
Location: 3E
Siva Sivakumar (Cisco)
Siva Sivakumar explains the Cisco Data Intelligence Platform (CDIP), which is a cloud-scale architecture that brings together big data, AI and compute farm, and storage tiers to work together as a single entity, while also being able to scale independently to address the IT issues in the modern data center. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 25, 2019
Location: 1A 04/05
Praveen Chitrada (Akamai Technologies)
Praveen Chitrada walks you through how Akamai uses MemSQL, Docker, Airflow, Prometheus, and other technologies as an enabler to streamline and accelerate data ingestion and calculation to generate usage metrics for billing, reporting, and analytics at massive scale. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 25, 2019
Location: 1A 01/02
James Malone (Google)
James Malone takes a deep dive into how customers across the world partner with Google Cloud to reimagine big data processing and data lakes while generating incredible business value. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 06
Chiang Yang (Cisco), Karthik Kulkarni (Cisco)
Artificial intelligence and machine learning are well beyond the laboratory exploratory stage of deployment. In fact, the speed of AI and ML deployment has a huge impact on an organization’s financial income. Chiang Yang and Karthik Kulkarni explore how the Cisco Data Intelligence Platform can help bridge the gap between AI and ML and big data. Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 25, 2019
Location: 1A 01/02
Diana Shaw (SAS)
Companies today are working to adopt data-driven mind-sets, strategies, and cultures. Yet the ugly truth is many still struggle to make analytics actionable. Diana Shaw outlines a simple, powerful, and automated solution to operationalize all types of analytics at scale. You'll learn how to put analytics into action while providing model governance and data scalability to drive real results. Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 06
Peter Wang (Anaconda)
Peter Wang explores why data science shouldn’t be seen as merely another technical job within the business and why open source is such a critical aspect of innovation in the field of data science. Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 25, 2019
Location: 1A 04/05
Darren Chinen (Malwarebytes)
Developing, deploying and managing AI and anomaly detection models is tough business. Darren Chinen details how Malwarebytes has leveraged containerization, scheduling, and orchestration to build a behavioral detection platform and a pipeline to bring models from concept to production. Read more.
Add to your personal schedule
2:05pm2:45pm Wednesday, September 25, 2019
Location: 1A 04/05
Zaher Hazim (ALDO Group)
Winning the hearts and minds of millennials and Gen Z is not an easy task. ALDO has devised a data-driven strategy to create the best consumer experience. Today ALDO relies on Talend and AWS. Zaher Hazim explains the choices made for its data architecture and the hurdles the teams had to solve to turn the vision into reality. Read more.
Add to your personal schedule
2:05pm2:45pm Wednesday, September 25, 2019
Location: 1A 01/02
Oftentimes there's a fracture between the highly governed data of enterprise IT systems and the comprehensive but often ungoverned world of large-scale data lakes and streams of data from blogs, syslogs, sensors, IoT devices, and more. Kevin Poskitt walks you through how AI needs to connect to all of this data, as well as image, video, audio, and text data sources. Read more.
Add to your personal schedule
2:05pm2:45pm Wednesday, September 25, 2019
Location: 1E 06
Olga Lagunova (Pitney Bowes), John Derrico (Mastercard)
Mastercard and Pitney Bowes have overcome many challenges in their journey to accelerate innovation, achieve efficiencies and improve the overall customer experience. This presentation will feature key learnings through the evolution of their data strategy and highlight pitfalls and solutions from data science projects across several industries—from finance to cross-border shipping logistics. Read more.
Add to your personal schedule
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1A 04/05
Jungwook Seo (SK Holdings C&C)
Jungwook Seo walks you through a data analytics platform in the cloud by the name of AccuInsight+ with eight data analytic services in the CloudZ (one of the biggest cloud service providers in Korea), which SK Holdings announced in January 2019. Read more.
Add to your personal schedule
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 06
Alberto Nieto (Esri)
Digital location data is a crucial part of data science. The “where” matters as much to an analysis as the “what” and the “why”. Esri offers tools that help you apply a range of geospatial techniques in your data science workflows to get deeper insights. We will walk you through core concepts of Spatial Data Science with the help of demos where we use these tools to solve real-world problems Read more.
Add to your personal schedule
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1A 01/02
Dong Li (Kyligence)
Your analytics are biased. Efforts to extract meaning by manually scrubbing, indexing, and parsing big data is limited by time, cost, and human assumptions. This session demonstrates augmented analytics. It takes OLAP into the future with artificial intelligence, ensuring objective and unique insights that cover all relevant scenarios found in petabytes of multidimensional and variable data. Read more.
Add to your personal schedule
4:35pm5:15pm Wednesday, September 25, 2019
Location: 1A 03
Chuck Yarbrough (Hitachi Vantara)
Cleaning the Swamp: How DataOps practices and a modern data architecture bring greater visibility and allow faster data access with proper governance Read more.
Add to your personal schedule
4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 17
Daniel D'Orazio (Matillion)
According to Forrester, insight-driven companies are on pace to make $1.8 trillion annually by 2021. How fast can your team collect, process, and analyze data to help solve present — and future — business challenges? This session shares actionable tips and lessons learned from cloud data warehouse modernizations at companies like DocuSign and others that you can take back to your business. Read more.
Add to your personal schedule
5:25pm6:05pm Wednesday, September 25, 2019
Location: 1A 04/05
David Leichner (SQream)
What started as an asset for data scientists and BI professionals has become a poorly-performing problem. This session will explore the Hadoop ecosystem and relational databases from an analytics perspective - reviewing the current landscape, what Hadoop was designed for, and how a Hadoop-based infrastructure can be improved to support a new era of exponentially growing data. Read more.
Add to your personal schedule
10:25am10:30am Thursday, September 26, 2019
Location: 3E
Jed Dougherty (Dataiku)
One of the more common and fairly widely accepted definitions is that AI means going beyond simple statistics to mimic human skills in perception, learning, interaction, and decision making. But even this definition leaves some room for interpretation. Jed Dougherty breaks down the different parts of that definition and how they might manifest themselves in data science projects. Read more.
Add to your personal schedule
11:20am12:00pm Thursday, September 26, 2019
Location: 1A 04/05
Charles Boicey (Clearsense)
Healthcare’s reliance on comprehendible data is critical to the mission of providing optimal and affordable care. Learn how the application of technology, such as machine learning, is paramount to the modernisation of healthcare that provides its professionals with fully integrated and complete medical records. Read more.
Add to your personal schedule
1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 06
Dan DeMers (Cinchy)
After 40 years of apps, enterprise companies are now realizing that building or buying an application for every use case has become a major threat to their ability to leverage and protect their core data assets. Join Cinchy CEO Dan DeMers for this live demo of Cinchy, the World’s first Data Collaboration Platform. Read more.
Add to your personal schedule
1:15pm1:55pm Thursday, September 26, 2019
Location: 1A 03
Paul Scott-Murphy (WANdisco)
What you’ll learn: The options that exist for cloud migration, their advantages and disadvantages * What cloud vendors do and don't offer to support large-scale migration *The business risks associated with large-scale cloud migration *How to migrate analytics data at scale for immediate use in Spark without disrupting on-premises operations Read more.
Add to your personal schedule
2:05pm2:45pm Thursday, September 26, 2019
Location: 1A 01/02
Jim Cushman (Collibra), Piyus Jain (Progressive)
Transforming data into a trusted business asset that informs decision-making requires giving teams access to a powerful platform that makes it easy to harness data across the enterprise. In this session, you'll hear how Progressive uses Collibra to transform the way data is managed and used across the organization, driving real business value. Read more.

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

strataconf@oreilly.com

For information on exhibiting or sponsoring a conference

Contact list

View a complete list of Strata Data Conference contacts