Digital Event Runs on Central Daylight Time

ENTERPRISE-WIDE COLLABORATION KEYNOTE SESSIONS

8:45 am Chair’s Welcome and Opening Remarks

  • Julie Spoth IT Director, Enterprise Analytics , ConocoPhillips

9:15 am Opening Keynote– Making AI Pipelines work For Business

Synopsis

  • Understanding how to ensure data is an asset
  • Redefine processes to allow better speed and accessibility to data
  • Create solid pipelines and AI Models
  • Locate and catagorize data promptly

9:45 am How to Drive More Collaboration Through Applied Data Analytics

Synopsis

  • Understand how to break down internal silos and share more information internally
  • Drive team collaboration through better utilizing data
  • Improve and understand modern management techniques and how analytics can help

10:15 am Building out your Cloud Infrastructure to Enhance Analytics Capabilities

  • Pankaj Sharma Data & Software Engineering Manager, Mesquite Energy Inc

Synopsis

• Understand why the cloud allows data to move faster and increase its
performance capabilities
• Learn how cloud infrastructure enables data to be better utilized for real-time
analytics
• Optimize your internal data infrastructure with a comprehensive look at cloud
solutions

10:45 am Morning Break & Speed Networking

11:30 am Machine Learning & Advanced Analytics at Scale: A Platform Approach (Digital)

Synopsis

Data Science (DS) solutions need to lead to actions to realize value. Production
DS is not only about algorithms: data pipeline development, feature engineering,
model validation and lifecycle management are fundamental components.
At Equinor, we are approaching DS from a platform perspective. We solve
different problem sets with a common “mold”. As a result, we reduce our
implementation costs. We call this methodology epsilon-cost scaling.
This is being applied to operational planning and predictive maintenance for
instance. Details will be discussed including:
• Data as a critical asset;
• Platform approach to DS;
• Epsilon-cost scaling advantages & constraints;
• Focus on speed to build business impact.

12:00 pm Baker Hughes Edge Analytics Platform

Synopsis

• How edge analytics is creating digital transformation across all Baker Hughes product lines.

  • Edge computing allows the use of data analytics in legacy systems, and remote locations
  • Learn about the advantages of edge computing
  • Demonstration of how Baker Hughes is utilizing this technology to produce results
  • How edge analytics is creating digital transformation across all Baker Hughes product lines

12:30 pm Increasing Production of (Data) Assets using Data Virtualization

Synopsis

• Review the benefits of separating data access from data storage as a
fundamental principle in achieving flexibility and control in exploiting your data
assets
• Learn how data virtualization has been used in analytics use cases from
surface to subsurface including facilities, exploration, drilling, production and
operations
• Increase real-time, secure, performant, and shared data access across all your
Upstream data sources (lakes and warehouses included) through a logical
design

1:00 pm Networking Lunch Break

2:00 pm Unlock Real Data Capabilities Through Breaking Down Data Silo’s

Synopsis

• Create more meaningful analytics by eliminating rigid data silos and create a
more efficient way to share information across the business
• Build a more holistic view of the entire business data ecosystem & enable faster,
more comprehensive data analytics
• Increase the capacity of information available for decision making by changing
the way structure to data storage

2:30 pm The Journey to Building a Data Lake & Transforming Customer Analytics

  • Sara Miller Head of Data Management and Data Lake, Direct Energy

Synopsis

As cloud technology matures, more and more companies are migrating onpremise
data warehouses and services to the cloud to achieve fully manageable
digital transformation for their organizations. Direct Energy is keeping pace
by improving their cloud strategy and creating a modern data architecture to
enable self-service reporting and analytics and data-driven decision making
across the business.
• Discuss the journey to build out our first residential customer-centric data lake
to include best practices, lessons learned and pitfalls.
• Emphasize the importance of engaging key stakeholders and collaborating
across teams.
• Share technology we’ve integrated into our end-to-end data pipeline from
ingestion and data warehousing through reporting and analytics.

3:00 pm Use Case – Application of Analytics by Leveraging Crowd Sourcing

Synopsis

• Give a jolt to your analytics practice by harnessing the power of the crowd.
• What is crowdsourcing and who is the crowd?
• How/ why is this approach any better than what I’m already doing?
• Does crowdsourcing actually work: Case Study Examples

3:30 pm Afternoon Break & Speed Networking

4:00 pm Understanding AI – The Impact on Upstream and how it can Revolutionize Everything

Synopsis

  • Learn how AI is changing the way in which upstream companies are looking at their sensing operation
  • Understand how to best utilize deep learning to support reservoir predictions and improve reservoir management
  • AI is helping Upstream companies process information faster than ever before – increase decision speed – and optimize E&P production
  • Understand the AI role in deciphering the large data sets created through E&P and how it can optimize the way upstream companies discover

4:40 pm Chair’s Closing Remarks and End of Conference Day One

  • Julie Spoth IT Director, Enterprise Analytics , ConocoPhillips

Digital Event Runs on Central Daylight Time