San Francisco CDAO Virtual Executive Summit

2020 has turned predictive models on their heads. Machine learning tools are more important than ever, as they are increasingly embedded in customer analytics and digital experience platforms. Learn from your peers about how they are using new technologies to improve these customer experiences in the new era.

In this session we’ll discuss:

• Use cases for augmented analytics, segmentation, personalization     

• Benefits from these technologies and how to measure their success      

• Personalization and privacy issues to avoid along your AI/ML journey

Technology itself is not a strategy, but maximizing the right technology makes a strong strategy successful. Getting there requires excellent data for decision-making, actionable metrics for benchmarking and AI-enrichment of quality information to take the next step. In this session, CDOs will dive into the ways that data-driven enterprises leverage tech better to come out on top.

Join this boardroom to discuss:

• Data scalability, data portability and AI-ready infrastructure
• The right tools to enhance your digital-consumer strategy
• Benchmarking tools and processes

Join this informal and interactive networking session to connect with your San Francisco CDO peers. In this session, the San Francisco community will have the chance to share their takeaways from the program in small groups and walk away with at least one new connection.

Leaders need faster access to new data to better understand their evolving business and accelerate digital transformation. The COVID-19 pandemic has made historical data obsolete, and many organizations are experiencing a data deficit where their models were trained to recognize behavior patterns that no longer exist. The path forward lies in giving analytics teams fast access to all data, no matter the source, to find new patterns and retrain models. Gartner calls this X Analytics, the ability to improve decision-making with faster access to newer data sources, thus uncovering new behavioral patterns. This will address the loss of the great data science work that's been done, and help get machine learning models focused on the right data.

This keynote will explore: 

• Pain points associated with delays in digital transformation projects

• How X Analytics addresses these, with examples across industries

• Strategies for building an X Analytics architecture that fills data, technical and organizational gaps

To unleash the full potential of data and analytics, organizations must understand the objectives, techniques, and limitations of their data. Where is your organization on the advanced analytics maturity continuum?

Join this session to discuss strategies for:

• Developing an organizational plan for execution on insights to optimize the current environment and understand your customer

• Effective uses of advanced analytics to achieve a better bottom-line

• Best practices for removing the fear surrounding AI and emerging technology

A data-driven organization requires incorporating AI/ML into their data discovery, governance, and data insight practices — or risk losing their competitive advantage. To generate value at the speed business demands, CDOs must adopt a flexible model that can thrive in all business scenarios; but how can data leaders solve for this while ensuring data is properly managed without impacting productivity or the customer journey?

In this session, you and your peers will discuss:

• Adaptable strategies to solve for evolving data management and governance demands

• AI/ML opportunities for advanced analytics and discovery capabilities

• Strategies for incorporating a privacy-aware program to realign corporate behavior with consumer expectations 

Data and analytics leaders possess the tools and resources to empower the business to navigate uncertain conditions, plan for recovery, and tap new revenue streams for economic growth. Join this keynote session to hear a panel of data leaders discuss how they are weaving a data-driven culture into the fabric of the business and driving the enterprise forward.

• Best practices for aligning data strategy with business objectives and outcomes
• Managing the human element and changing needs and usage of data
• Promoting an innovative data driven culture